- home
- Advanced Search
- Energy Research
- Energy Research
description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Data Paper 2020Embargo end date: 09 Jul 2020 Germany, Italy, Denmark, Italy, Italy, Australia, Germany, Germany, Belgium, Australia, Italy, Netherlands, Belgium, Italy, Australia, Italy, Russian Federation, Germany, Czech Republic, Germany, Italy, Australia, Netherlands, Australia, Switzerland, Italy, Australia, Germany, Netherlands, Norway, Germany, Australia, Australia, Italy, Finland, Sweden, Czech Republic, France, Spain, Denmark, Netherlands, Finland, United StatesPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:UKRI | RootDetect: Remote Detect...UKRI| RootDetect: Remote Detection and Precision Management of Root HealthAndreas Ibrom; Bruno De Cinti; Jean Marc Ourcival; Vincenzo Magliulo; Onil Bergeron; M. Altaf Arain; Andrew Feitz; Zulia Mayari Sanchez-Mejia; Christof Ammann; Yann Nouvellon; Siyan Ma; Brian D. Amiro; Kim Pilegaard; Eddy Moors; Michele Tomassucci; Asko Noormets; Shawn Urbanski; Damiano Gianelle; Anatoly A. Gitelson; E. Canfora; You Wei Cheah; Ko van Huissteden; Shicheng Jiang; Hans Peter Schmid; Albin Hammerle; Brent E. Ewers; Virginie Moreaux; Housen Chu; Anne Griebel; Timothy J. Arkebauer; Peter Cale; Barbara Marcolla; Alan G. Barr; Alan G. Barr; Scott D. Miller; Lutz Merbold; Ivan Schroder; Joseph Verfaillie; Stefan K. Arndt; Scott R. Saleska; Nicolas Delpierre; Catharine van Ingen; Christine Moureaux; Annalea Lohila; Annalea Lohila; Gabriela Posse; Bernard Heinesch; Pierpaolo Duce; Raimundo Cosme de Oliveira; Kenneth J. Davis; Markus Hehn; Torben R. Christensen; Tilden P. Meyers; Werner L. Kutsch; Lindsay B. Hutley; Üllar Rannik; W.W.P. Jans; Riccardo Valentini; Myroslava Khomik; Myroslava Khomik; Pierre Cellier; Ayumi Kotani; Xiaoqin Dai; Marta Galvagno; Frans-Jan W. Parmentier; Frans-Jan W. Parmentier; Eric Dufrêne; Marius Schmidt; Birger Ulf Hansen; Alessio Collalti; Alessio Collalti; Ivan Shironya; Christian Brümmer; Russell L. Scott; Serge Rambal; Jonas Ardö; Natalia Restrepo-Coupe; Donatella Zona; Elizabeth A. Walter-Shea; Russell K. Monson; Silvano Fares; Sean P. Burns; Sean P. Burns; Mauro Cavagna; Guoyi Zhou; Suzanne M. Prober; Juha Pekka Tuovinen; Georgia R. Koerber; Yuelin Li; Alexander Knohl; Mikhail Mastepanov; Mikhail Mastepanov; Yanhong Tang; Johan Neirynck; Matthew Northwood; Pauline Buysse; Thomas Grünwald; Sabina Dore; N. Pirk; N. Pirk; Hiroki Ikawa; Craig Macfarlane; Jean-Marc Limousin; Carlos Marcelo Di Bella; Leiming Zhang; Juha Hatakka; Margaret S. Torn; Mika Aurela; Bert Gielen; Jiquan Chen; Regine Maier; Karl Schneider; Christian Wille; Nina Buchmann; Daniel Berveiller; Peter D. Blanken; Wayne S. Meyer; Dennis D. Baldocchi; Benjamin Loubet; Giovanni Manca; Hatim Abdalla M. ElKhidir; James Cleverly; Harry McCaughey; Agnès de Grandcourt; Matthias Peichl; Adam J. Liska; Jonathan E. Thom; Christian Bernhofer; Jean Marc Bonnefond; Alexander Graf; Roser Matamala; M. Goeckede; Marian Pavelka; Hank A. Margolis; Eugénie Paul-Limoges; Andrew S. Kowalski; Taro Nakai; Taro Nakai; Marcelo D. Nosetto; Tomomichi Kato; Ray Leuning; Beniamino Gioli; Marc Aubinet; Tuomas Laurila; Andrej Varlagin; Ignacio Goded; David R. Bowling; Nigel J. Tapper; Ana López-Ballesteros; Denis Loustau; Iris Feigenwinter; Uta Moderow; Edoardo Cremonese; Gianluca Filippa; Domenico Vitale; Abdelrahman Elbashandy; Gilberto Pastorello; Ettore D'Andrea; Gil Bohrer; Thomas L. Powell; Serena Marras; Daniela Famulari; Christopher M. Gough; Enrique P. Sánchez-Cañete; Satoru Takanashi; Michael J. Liddell; Jason Brodeur; Marc Fischer; Zoran Nesic; William J. Massman; Janina Klatt; Samuli Launiainen; Anne De Ligne; Leonardo Montagnani; Sebastian Wolf; Rainer Steinbrecher; Yingnian Li; Donatella Spano; A. Ribeca; Rosvel Bracho; Walter C. Oechel; B.R. Reverter; Jiří Dušek; Sebastian Westermann; Rachhpal S. Jassal; Derek Eamus; Claudia Consalvo; Claudia Consalvo; Marty Humphrey; Timo Vesala; Cristina Poindexter; Jeffrey P. Walker; Humberto Ribeiro da Rocha; Paul V. Bolstad; Elise Pendall; Diego Polidori; Peter S. Curtis; Chad Hanson; Francisco Domingo; Jason Beringer;pmid: 32647314
pmc: PMC7347557
AbstractThe FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
CORE arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020License: CC BYFull-Text: https://hdl.handle.net/10568/108878Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2020License: CC BYFull-Text: http://hdl.handle.net/10852/81470Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2020Full-Text: http://hdl.handle.net/10449/64207Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/11343/244534Data sources: Bielefeld Academic Search Engine (BASE)Edith Cowan University (ECU, Australia): Research OnlineArticle . 2020Full-Text: https://ro.ecu.edu.au/ecuworkspost2013/9096Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/2xf0f1djData sources: Bielefeld Academic Search Engine (BASE)The University of Adelaide: Digital LibraryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/2440/129213Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2020Full-Text: https://doi.org/10.1038/s41597-020-0534-3Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAScientific DataArticle . 2020Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2021 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiPublikationenserver der Georg-August-Universität GöttingenArticle . 2021Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenUniversity of Oulu Repository - JultikaArticle . 2020Data sources: University of Oulu Repository - JultikaCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemRepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGöttingen Research Online PublicationsArticle . 2021Data sources: Göttingen Research Online PublicationsGFZ German Research Centre for GeosciencesArticle . 2020License: CC BYData sources: GFZ German Research Centre for GeosciencesWageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsUniversity of Western Sydney (UWS): Research DirectArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Repositorio Institucional Universidad de GranadaArticle . 2020License: CC BYData sources: Repositorio Institucional Universidad de GranadaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-020-0534-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 896 citations 896 popularity Top 0.01% influence Top 1% impulse Top 0.01% Powered by BIP!
more_vert CORE arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020License: CC BYFull-Text: https://hdl.handle.net/10568/108878Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2020License: CC BYFull-Text: http://hdl.handle.net/10852/81470Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2020Full-Text: http://hdl.handle.net/10449/64207Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/11343/244534Data sources: Bielefeld Academic Search Engine (BASE)Edith Cowan University (ECU, Australia): Research OnlineArticle . 2020Full-Text: https://ro.ecu.edu.au/ecuworkspost2013/9096Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/2xf0f1djData sources: Bielefeld Academic Search Engine (BASE)The University of Adelaide: Digital LibraryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/2440/129213Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2020Full-Text: https://doi.org/10.1038/s41597-020-0534-3Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAScientific DataArticle . 2020Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2021 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiPublikationenserver der Georg-August-Universität GöttingenArticle . 2021Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenUniversity of Oulu Repository - JultikaArticle . 2020Data sources: University of Oulu Repository - JultikaCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemRepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGöttingen Research Online PublicationsArticle . 2021Data sources: Göttingen Research Online PublicationsGFZ German Research Centre for GeosciencesArticle . 2020License: CC BYData sources: GFZ German Research Centre for GeosciencesWageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsUniversity of Western Sydney (UWS): Research DirectArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Repositorio Institucional Universidad de GranadaArticle . 2020License: CC BYData sources: Repositorio Institucional Universidad de GranadaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-020-0534-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Data Paper 2020Embargo end date: 09 Jul 2020 Germany, Italy, Denmark, Italy, Italy, Australia, Germany, Germany, Belgium, Australia, Italy, Netherlands, Belgium, Italy, Australia, Italy, Russian Federation, Germany, Czech Republic, Germany, Italy, Australia, Netherlands, Australia, Switzerland, Italy, Australia, Germany, Netherlands, Norway, Germany, Australia, Australia, Italy, Finland, Sweden, Czech Republic, France, Spain, Denmark, Netherlands, Finland, United StatesPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:UKRI | RootDetect: Remote Detect...UKRI| RootDetect: Remote Detection and Precision Management of Root HealthAndreas Ibrom; Bruno De Cinti; Jean Marc Ourcival; Vincenzo Magliulo; Onil Bergeron; M. Altaf Arain; Andrew Feitz; Zulia Mayari Sanchez-Mejia; Christof Ammann; Yann Nouvellon; Siyan Ma; Brian D. Amiro; Kim Pilegaard; Eddy Moors; Michele Tomassucci; Asko Noormets; Shawn Urbanski; Damiano Gianelle; Anatoly A. Gitelson; E. Canfora; You Wei Cheah; Ko van Huissteden; Shicheng Jiang; Hans Peter Schmid; Albin Hammerle; Brent E. Ewers; Virginie Moreaux; Housen Chu; Anne Griebel; Timothy J. Arkebauer; Peter Cale; Barbara Marcolla; Alan G. Barr; Alan G. Barr; Scott D. Miller; Lutz Merbold; Ivan Schroder; Joseph Verfaillie; Stefan K. Arndt; Scott R. Saleska; Nicolas Delpierre; Catharine van Ingen; Christine Moureaux; Annalea Lohila; Annalea Lohila; Gabriela Posse; Bernard Heinesch; Pierpaolo Duce; Raimundo Cosme de Oliveira; Kenneth J. Davis; Markus Hehn; Torben R. Christensen; Tilden P. Meyers; Werner L. Kutsch; Lindsay B. Hutley; Üllar Rannik; W.W.P. Jans; Riccardo Valentini; Myroslava Khomik; Myroslava Khomik; Pierre Cellier; Ayumi Kotani; Xiaoqin Dai; Marta Galvagno; Frans-Jan W. Parmentier; Frans-Jan W. Parmentier; Eric Dufrêne; Marius Schmidt; Birger Ulf Hansen; Alessio Collalti; Alessio Collalti; Ivan Shironya; Christian Brümmer; Russell L. Scott; Serge Rambal; Jonas Ardö; Natalia Restrepo-Coupe; Donatella Zona; Elizabeth A. Walter-Shea; Russell K. Monson; Silvano Fares; Sean P. Burns; Sean P. Burns; Mauro Cavagna; Guoyi Zhou; Suzanne M. Prober; Juha Pekka Tuovinen; Georgia R. Koerber; Yuelin Li; Alexander Knohl; Mikhail Mastepanov; Mikhail Mastepanov; Yanhong Tang; Johan Neirynck; Matthew Northwood; Pauline Buysse; Thomas Grünwald; Sabina Dore; N. Pirk; N. Pirk; Hiroki Ikawa; Craig Macfarlane; Jean-Marc Limousin; Carlos Marcelo Di Bella; Leiming Zhang; Juha Hatakka; Margaret S. Torn; Mika Aurela; Bert Gielen; Jiquan Chen; Regine Maier; Karl Schneider; Christian Wille; Nina Buchmann; Daniel Berveiller; Peter D. Blanken; Wayne S. Meyer; Dennis D. Baldocchi; Benjamin Loubet; Giovanni Manca; Hatim Abdalla M. ElKhidir; James Cleverly; Harry McCaughey; Agnès de Grandcourt; Matthias Peichl; Adam J. Liska; Jonathan E. Thom; Christian Bernhofer; Jean Marc Bonnefond; Alexander Graf; Roser Matamala; M. Goeckede; Marian Pavelka; Hank A. Margolis; Eugénie Paul-Limoges; Andrew S. Kowalski; Taro Nakai; Taro Nakai; Marcelo D. Nosetto; Tomomichi Kato; Ray Leuning; Beniamino Gioli; Marc Aubinet; Tuomas Laurila; Andrej Varlagin; Ignacio Goded; David R. Bowling; Nigel J. Tapper; Ana López-Ballesteros; Denis Loustau; Iris Feigenwinter; Uta Moderow; Edoardo Cremonese; Gianluca Filippa; Domenico Vitale; Abdelrahman Elbashandy; Gilberto Pastorello; Ettore D'Andrea; Gil Bohrer; Thomas L. Powell; Serena Marras; Daniela Famulari; Christopher M. Gough; Enrique P. Sánchez-Cañete; Satoru Takanashi; Michael J. Liddell; Jason Brodeur; Marc Fischer; Zoran Nesic; William J. Massman; Janina Klatt; Samuli Launiainen; Anne De Ligne; Leonardo Montagnani; Sebastian Wolf; Rainer Steinbrecher; Yingnian Li; Donatella Spano; A. Ribeca; Rosvel Bracho; Walter C. Oechel; B.R. Reverter; Jiří Dušek; Sebastian Westermann; Rachhpal S. Jassal; Derek Eamus; Claudia Consalvo; Claudia Consalvo; Marty Humphrey; Timo Vesala; Cristina Poindexter; Jeffrey P. Walker; Humberto Ribeiro da Rocha; Paul V. Bolstad; Elise Pendall; Diego Polidori; Peter S. Curtis; Chad Hanson; Francisco Domingo; Jason Beringer;pmid: 32647314
pmc: PMC7347557
AbstractThe FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
CORE arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020License: CC BYFull-Text: https://hdl.handle.net/10568/108878Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2020License: CC BYFull-Text: http://hdl.handle.net/10852/81470Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2020Full-Text: http://hdl.handle.net/10449/64207Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/11343/244534Data sources: Bielefeld Academic Search Engine (BASE)Edith Cowan University (ECU, Australia): Research OnlineArticle . 2020Full-Text: https://ro.ecu.edu.au/ecuworkspost2013/9096Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/2xf0f1djData sources: Bielefeld Academic Search Engine (BASE)The University of Adelaide: Digital LibraryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/2440/129213Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2020Full-Text: https://doi.org/10.1038/s41597-020-0534-3Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAScientific DataArticle . 2020Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2021 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiPublikationenserver der Georg-August-Universität GöttingenArticle . 2021Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenUniversity of Oulu Repository - JultikaArticle . 2020Data sources: University of Oulu Repository - JultikaCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemRepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGöttingen Research Online PublicationsArticle . 2021Data sources: Göttingen Research Online PublicationsGFZ German Research Centre for GeosciencesArticle . 2020License: CC BYData sources: GFZ German Research Centre for GeosciencesWageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsUniversity of Western Sydney (UWS): Research DirectArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Repositorio Institucional Universidad de GranadaArticle . 2020License: CC BYData sources: Repositorio Institucional Universidad de GranadaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-020-0534-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 896 citations 896 popularity Top 0.01% influence Top 1% impulse Top 0.01% Powered by BIP!
more_vert CORE arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020License: CC BYFull-Text: https://hdl.handle.net/10568/108878Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2020License: CC BYFull-Text: http://hdl.handle.net/10852/81470Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2020Full-Text: http://hdl.handle.net/10449/64207Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/11343/244534Data sources: Bielefeld Academic Search Engine (BASE)Edith Cowan University (ECU, Australia): Research OnlineArticle . 2020Full-Text: https://ro.ecu.edu.au/ecuworkspost2013/9096Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/2xf0f1djData sources: Bielefeld Academic Search Engine (BASE)The University of Adelaide: Digital LibraryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/2440/129213Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2020Full-Text: https://doi.org/10.1038/s41597-020-0534-3Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAScientific DataArticle . 2020Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2021 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiPublikationenserver der Georg-August-Universität GöttingenArticle . 2021Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenUniversity of Oulu Repository - JultikaArticle . 2020Data sources: University of Oulu Repository - JultikaCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemRepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGöttingen Research Online PublicationsArticle . 2021Data sources: Göttingen Research Online PublicationsGFZ German Research Centre for GeosciencesArticle . 2020License: CC BYData sources: GFZ German Research Centre for GeosciencesWageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsUniversity of Western Sydney (UWS): Research DirectArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Repositorio Institucional Universidad de GranadaArticle . 2020License: CC BYData sources: Repositorio Institucional Universidad de GranadaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-020-0534-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal , Preprint , Report 2021 France, GermanyPublisher:Copernicus GmbH Funded by:NSF | Collaborative Research: C..., EC | CRESCENDO, NSERC +2 projectsNSF| Collaborative Research: Carbon, Water, and Energy Balance of the Arctic Landscape at Flagship Observatories in Alaska and Siberia ,EC| CRESCENDO ,NSERC ,DFG| Integrated Climate System Analysis and Prediction (CliSAP) ,NSF| Collaborative Research on Carbon, Water, and Energy Balance of the Arctic Landscape at Flagship Observatories in Alaska and SiberiaPhilippe Peylin; Janina Klatt; Christophe Guimbaud; Annalea Lohila; Philippe Ciais; Eugénie S. Euskirchen; Fabrice Jégou; Housen Chu; Natalia Kowalska; Lutz Merbold; Mika Aurela; Vladislav Bastrikov; C. Edgar; Lawrence B. Flanagan; Line Jourdain; Sébastien Gogo; Elodie Salmon; Bogdan H. Chojnicki; Lars Kutzbach; Klaudia Ziemblińska; Dan Zhu; Dan Zhu; M. Syndonia Bret-Harte; Fatima Laggoun-Défarge; Krzysztof Fortuniak; Torsten Sachs; David Holl; Bertrand Guenet; Bertrand Guenet; Olaf Kolle; Włodzimierz Pawlak; Jiquan Chen; Chunjing Qiu;Abstract. In the global methane budget, the largest natural source is attributed to wetlands, which encompass all ecosystems composed of waterlogged or inundated ground, capable of methane production. Among them, northern peatlands that store large amounts of soil organic carbon have been functioning, since the end of the last glaciation period, as long-term sources of methane (CH4) and are one of the most significant methane sources among wetlands. To reduce uncertainty of quantifying methane flux in the global methane budget, it is of significance to understand the underlying processes for methane production and fluxes in northern peatlands. A methane model that features methane production and transport by plants, ebullition process and diffusion in soil, oxidation to CO2, and CH4 fluxes to the atmosphere has been embedded in the ORCHIDEE-PEAT land surface model that includes an explicit representation of northern peatlands. ORCHIDEE-PCH4 was calibrated and evaluated on 14 peatland sites distributed on both the Eurasian and American continents in the northern boreal and temperate regions. Data assimilation approaches were employed to optimized parameters at each site and at all sites simultaneously. Results show that methanogenesis is sensitive to temperature and substrate availability over the top 75 cm of soil depth. Methane emissions estimated using single site optimization (SSO) of model parameters are underestimated by 9 g CH4 m−2 yr−1 on average (i.e., 50 % higher than the site average of yearly methane emissions). While using the multi-site optimization (MSO), methane emissions are overestimated by 5 g CH4 m−2 yr−1 on average across all investigated sites (i.e., 37 % lower than the site average of yearly methane emissions).
GFZpublic (German Re... arrow_drop_down GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitut National de la Recherche Agronomique: ProdINRAReport . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-15-2813-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert GFZpublic (German Re... arrow_drop_down GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitut National de la Recherche Agronomique: ProdINRAReport . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-15-2813-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal , Preprint , Report 2021 France, GermanyPublisher:Copernicus GmbH Funded by:NSF | Collaborative Research: C..., EC | CRESCENDO, NSERC +2 projectsNSF| Collaborative Research: Carbon, Water, and Energy Balance of the Arctic Landscape at Flagship Observatories in Alaska and Siberia ,EC| CRESCENDO ,NSERC ,DFG| Integrated Climate System Analysis and Prediction (CliSAP) ,NSF| Collaborative Research on Carbon, Water, and Energy Balance of the Arctic Landscape at Flagship Observatories in Alaska and SiberiaPhilippe Peylin; Janina Klatt; Christophe Guimbaud; Annalea Lohila; Philippe Ciais; Eugénie S. Euskirchen; Fabrice Jégou; Housen Chu; Natalia Kowalska; Lutz Merbold; Mika Aurela; Vladislav Bastrikov; C. Edgar; Lawrence B. Flanagan; Line Jourdain; Sébastien Gogo; Elodie Salmon; Bogdan H. Chojnicki; Lars Kutzbach; Klaudia Ziemblińska; Dan Zhu; Dan Zhu; M. Syndonia Bret-Harte; Fatima Laggoun-Défarge; Krzysztof Fortuniak; Torsten Sachs; David Holl; Bertrand Guenet; Bertrand Guenet; Olaf Kolle; Włodzimierz Pawlak; Jiquan Chen; Chunjing Qiu;Abstract. In the global methane budget, the largest natural source is attributed to wetlands, which encompass all ecosystems composed of waterlogged or inundated ground, capable of methane production. Among them, northern peatlands that store large amounts of soil organic carbon have been functioning, since the end of the last glaciation period, as long-term sources of methane (CH4) and are one of the most significant methane sources among wetlands. To reduce uncertainty of quantifying methane flux in the global methane budget, it is of significance to understand the underlying processes for methane production and fluxes in northern peatlands. A methane model that features methane production and transport by plants, ebullition process and diffusion in soil, oxidation to CO2, and CH4 fluxes to the atmosphere has been embedded in the ORCHIDEE-PEAT land surface model that includes an explicit representation of northern peatlands. ORCHIDEE-PCH4 was calibrated and evaluated on 14 peatland sites distributed on both the Eurasian and American continents in the northern boreal and temperate regions. Data assimilation approaches were employed to optimized parameters at each site and at all sites simultaneously. Results show that methanogenesis is sensitive to temperature and substrate availability over the top 75 cm of soil depth. Methane emissions estimated using single site optimization (SSO) of model parameters are underestimated by 9 g CH4 m−2 yr−1 on average (i.e., 50 % higher than the site average of yearly methane emissions). While using the multi-site optimization (MSO), methane emissions are overestimated by 5 g CH4 m−2 yr−1 on average across all investigated sites (i.e., 37 % lower than the site average of yearly methane emissions).
GFZpublic (German Re... arrow_drop_down GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitut National de la Recherche Agronomique: ProdINRAReport . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-15-2813-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert GFZpublic (German Re... arrow_drop_down GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitut National de la Recherche Agronomique: ProdINRAReport . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-15-2813-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 China (People's Republic of), China (People's Republic of), China (People's Republic of), Finland, DenmarkPublisher:IOP Publishing Funded by:NSERC, AKA | Role of upland forest soi..., AKA | Centre of Excellence in A... +3 projectsNSERC ,AKA| Role of upland forest soils in regional methane balance: from catchment to global scales / Consortium: UPFORMET ,AKA| Centre of Excellence in Atmospheric Science From Molecular and Biolocigal processes to The Global Climate ,NSF| LTER: Comparative Study of a Suite of Lakes in Wisconsin ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTURE ,EC| RINGOPavel Alekseychik; Daniel F. Nadeau; Brian D. Amiro; Vyacheslav Zyrianov; Allison L. Dunn; Manuel Helbig; Manuel Helbig; Mats Nilsson; Elena D. Lapshina; Annalea Lohila; Mika Korkiakoski; Mikaell Ottosson Löfvenius; Silvie Harder; Hiroki Ikawa; Christopher Schulze; Timo Vesala; Elyn Humphreys; Matthias Peichl; William L. Quinton; Nigel T. Roulet; Erin M. Nicholls; Anders Lindroth; Andrej Varlagin; Sean K. Carey; Ian B. Strachan; Richard M. Petrone; Eugénie S. Euskirchen; Lars Kutzbach; Oliver Sonnentag; Masahito Ueyama; Juha-Pekka Tuovinen; Michelle Garneau; Hiroki Iwata; Takeshi Ohta; Trofim C. Maximov; Ankur R. Desai; Alan G. Barr; Anatoly S. Prokushkin; Philip Marsh; Lawrence B. Flanagan; Pierre-Erik Isabelle; Paul A. Moore; Juliya Kurbatova; T. Andrew Black; Eeva-Stiina Tuittila; Mika Aurela; Jinshu Chi; Thomas Friborg; Martin Wilmking; Pierre Taillardat; Jiquan Chen; Benjamin R. K. Runkle; Benjamin R. K. Runkle; Rachhpal S. Jassal; Ivan Mammarella; Jessica Turner; James M. Waddington; Michal Heliasz; Achim Grelle;handle: 10138/321067
Peatlands and forests cover large areas of the boreal biome and are critical for global climate regulation. They also regulate regional climate through heat and water vapour exchange with the atmosphere. Understanding how land-atmosphere interactions in peatlands differ from forests may therefore be crucial for modelling boreal climate system dynamics and for assessing climate benefits of peatland conservation and restoration. To assess the biophysical impacts of peatlands and forests on peak growing season air temperature and humidity, we analysed surface energy fluxes and albedo from 35 peatlands and 37 evergreen needleleaf forests—the dominant boreal forest type—and simulated air temperature and vapour pressure deficit (VPD) over hypothetical homogeneous peatland and forest landscapes. We ran an evapotranspiration model using land surface parameters derived from energy flux observations and coupled an analytical solution for the surface energy balance to an atmospheric boundary layer (ABL) model. We found that peatlands, compared to forests, are characterized by higher growing season albedo, lower aerodynamic conductance, and higher surface conductance for an equivalent VPD. This combination of peatland surface properties results in a ∼20% decrease in afternoon ABL height, a cooling (from 1.7 to 2.5 °C) in afternoon air temperatures, and a decrease in afternoon VPD (from 0.4 to 0.7 kPa) for peatland landscapes compared to forest landscapes. These biophysical climate impacts of peatlands are most pronounced at lower latitudes (∼45°N) and decrease toward the northern limit of the boreal biome (∼70°N). Thus, boreal peatlands have the potential to mitigate the effect of regional climate warming during the growing season. The biophysical climate mitigation potential of peatlands needs to be accounted for when projecting the future climate of the boreal biome, when assessing the climate benefits of conserving pristine boreal peatlands, and when restoring peatlands that have experienced peatland drainage and mining.
Environmental Resear... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abab34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 33 citations 33 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Environmental Resear... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abab34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 China (People's Republic of), China (People's Republic of), China (People's Republic of), Finland, DenmarkPublisher:IOP Publishing Funded by:NSERC, AKA | Role of upland forest soi..., AKA | Centre of Excellence in A... +3 projectsNSERC ,AKA| Role of upland forest soils in regional methane balance: from catchment to global scales / Consortium: UPFORMET ,AKA| Centre of Excellence in Atmospheric Science From Molecular and Biolocigal processes to The Global Climate ,NSF| LTER: Comparative Study of a Suite of Lakes in Wisconsin ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTURE ,EC| RINGOPavel Alekseychik; Daniel F. Nadeau; Brian D. Amiro; Vyacheslav Zyrianov; Allison L. Dunn; Manuel Helbig; Manuel Helbig; Mats Nilsson; Elena D. Lapshina; Annalea Lohila; Mika Korkiakoski; Mikaell Ottosson Löfvenius; Silvie Harder; Hiroki Ikawa; Christopher Schulze; Timo Vesala; Elyn Humphreys; Matthias Peichl; William L. Quinton; Nigel T. Roulet; Erin M. Nicholls; Anders Lindroth; Andrej Varlagin; Sean K. Carey; Ian B. Strachan; Richard M. Petrone; Eugénie S. Euskirchen; Lars Kutzbach; Oliver Sonnentag; Masahito Ueyama; Juha-Pekka Tuovinen; Michelle Garneau; Hiroki Iwata; Takeshi Ohta; Trofim C. Maximov; Ankur R. Desai; Alan G. Barr; Anatoly S. Prokushkin; Philip Marsh; Lawrence B. Flanagan; Pierre-Erik Isabelle; Paul A. Moore; Juliya Kurbatova; T. Andrew Black; Eeva-Stiina Tuittila; Mika Aurela; Jinshu Chi; Thomas Friborg; Martin Wilmking; Pierre Taillardat; Jiquan Chen; Benjamin R. K. Runkle; Benjamin R. K. Runkle; Rachhpal S. Jassal; Ivan Mammarella; Jessica Turner; James M. Waddington; Michal Heliasz; Achim Grelle;handle: 10138/321067
Peatlands and forests cover large areas of the boreal biome and are critical for global climate regulation. They also regulate regional climate through heat and water vapour exchange with the atmosphere. Understanding how land-atmosphere interactions in peatlands differ from forests may therefore be crucial for modelling boreal climate system dynamics and for assessing climate benefits of peatland conservation and restoration. To assess the biophysical impacts of peatlands and forests on peak growing season air temperature and humidity, we analysed surface energy fluxes and albedo from 35 peatlands and 37 evergreen needleleaf forests—the dominant boreal forest type—and simulated air temperature and vapour pressure deficit (VPD) over hypothetical homogeneous peatland and forest landscapes. We ran an evapotranspiration model using land surface parameters derived from energy flux observations and coupled an analytical solution for the surface energy balance to an atmospheric boundary layer (ABL) model. We found that peatlands, compared to forests, are characterized by higher growing season albedo, lower aerodynamic conductance, and higher surface conductance for an equivalent VPD. This combination of peatland surface properties results in a ∼20% decrease in afternoon ABL height, a cooling (from 1.7 to 2.5 °C) in afternoon air temperatures, and a decrease in afternoon VPD (from 0.4 to 0.7 kPa) for peatland landscapes compared to forest landscapes. These biophysical climate impacts of peatlands are most pronounced at lower latitudes (∼45°N) and decrease toward the northern limit of the boreal biome (∼70°N). Thus, boreal peatlands have the potential to mitigate the effect of regional climate warming during the growing season. The biophysical climate mitigation potential of peatlands needs to be accounted for when projecting the future climate of the boreal biome, when assessing the climate benefits of conserving pristine boreal peatlands, and when restoring peatlands that have experienced peatland drainage and mining.
Environmental Resear... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abab34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 33 citations 33 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Environmental Resear... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abab34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:NSF Arctic Data Center Authors: Orndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; +45 AuthorsOrndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; Alexander, Heather D.; Humphreys, Elyn R.; Loranty, Michael M.; Ludwig, Sarah M.; Nyman, Johanna; Juutinen, Sari; Aurela, Mika; Mikola, Juha; Mack, Michelle C.; Rose, Melissa; Vankoughnett, Mathew R.; Iversen, Colleen M.; Salmon, Verity G.; Kumar, Jitendra; Yang, Dedi; Grogan, Paul; Danby, Ryan K.; Scott, Neal A.; Olofsson, Johan; Siewert, Matthias B.; Deschamps, Lucas; Lévesque, Esther; Maire, Vincent; Gauthier, Gilles; Boudreau, Stéphane; Gaspard, Anna; Bret-Harte, M. Syndonia; Raynolds, Martha K.; Walker, Donald A.; Michelsen, Anders; Kumpula, Timo; Villoslada, Miguel; Ylänne, Henni; Luoto, Miska; Virtanen, Tarmo; Greaves, Heather E.; Forbes, Bruce C.; Heim, Ramona J.; Hölzel, Norbert; Epstein, Howard; Bunn, Andrew G.; Holmes, Robert Max; Natali, Susan M.; Virkkala, Anna-Maria; Goetz, Scott J.;doi: 10.18739/a2ns0m06b
This dataset provides estimates of live, oven-dried aboveground biomass of all plants (tree, shrub, graminoid, forb, bryophyte) and all woody plants (tree, shrub) at 30-meter resolution across the Arctic tundra biome. Estimates of woody plant dominance are also provided as: (woody plant biomass / plant biomass) * 100. Plant biomass and woody plant biomass were estimated for each pixel (grams per square meter [g / m2]) using field harvest data for calibration/validation along with modeled seasonal surface reflectance data derived using Landsat satellite imagery and the Continuous Change Detection and Classification algorithm, and other supplementary predictors related to topography, region (e.g. bioclimate zone, ecosystem type), land cover, and derivative spectral products. Modeling was performed in a two-stage process using random forest models. First, biomass presence/absence was predicted using probability forests. Then, biomass quantity was predicted using regression forests. The model outputs were combined to produce final biomass estimates. Pixel uncertainty was assessed using Monte Carlo iterations. Field and remote sensing data were permuted during each iteration and the median (50th percentile, p500) predictions for each pixel were considered best estimates. In addition, this dataset provides the lower (2.5th percentile, p025) and upper (97.5th percentile, p975) bounds of a 95% uncertainty interval. Estimates of woody plant dominance are not modeled directly, but rather derived from plant biomass and woody plant biomass best estimates. The Pan Arctic domain includes both the Polar Arctic, defined using bioclimate zone data from the Circumpolar Arctic Vegetation Mapping Project (CAVM; Walker et al., 2005), and the Oro Arctic (treeless alpine tundra at high latitudes outside the Polar Arctic), defined using tundra ecoregions from the RESOLVE ecoregions dataset (Dinerstein et al., 2017) and treeline data from CAVM (CAVM Team, 2003). The mapped products focus on Arctic tundra vegetation biomass, but the coarse delineation of this biome meant some forested areas were included within the study domain. Therefore, this dataset also provides a tree mask product that can be used to mask out areas with canopy height ≥ 5 meters. This mask helps reduce, but does not eliminate entirely, areas of dense tree cover within the domain. Users should be cautious of predictions in forested areas as the models used to predict biomass were not well constrained in these areas. This dataset includes 132 files: 128 cloud-optimized GeoTIFFs, 2 tables in comma-separated values (CSV) format, 1 vector polygon in Shapefile format, and one figure in JPEG format. Raster data is provided in the WGS 84 / North Pole LAEA Bering Sea projection (EPSG:3571) at 30 meter (m) resolution. Raster data are tiled with letters representing rows and numbers representing columns, but note that some tiles do not contain unmasked pixels. We included all tiles nonetheless to maintain consistency. Tiling information can be found in the ‘metadata’ directory as a figure (JPEG) or shapefile.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18739/a2ns0m06b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18739/a2ns0m06b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:NSF Arctic Data Center Authors: Orndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; +45 AuthorsOrndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; Alexander, Heather D.; Humphreys, Elyn R.; Loranty, Michael M.; Ludwig, Sarah M.; Nyman, Johanna; Juutinen, Sari; Aurela, Mika; Mikola, Juha; Mack, Michelle C.; Rose, Melissa; Vankoughnett, Mathew R.; Iversen, Colleen M.; Salmon, Verity G.; Kumar, Jitendra; Yang, Dedi; Grogan, Paul; Danby, Ryan K.; Scott, Neal A.; Olofsson, Johan; Siewert, Matthias B.; Deschamps, Lucas; Lévesque, Esther; Maire, Vincent; Gauthier, Gilles; Boudreau, Stéphane; Gaspard, Anna; Bret-Harte, M. Syndonia; Raynolds, Martha K.; Walker, Donald A.; Michelsen, Anders; Kumpula, Timo; Villoslada, Miguel; Ylänne, Henni; Luoto, Miska; Virtanen, Tarmo; Greaves, Heather E.; Forbes, Bruce C.; Heim, Ramona J.; Hölzel, Norbert; Epstein, Howard; Bunn, Andrew G.; Holmes, Robert Max; Natali, Susan M.; Virkkala, Anna-Maria; Goetz, Scott J.;doi: 10.18739/a2ns0m06b
This dataset provides estimates of live, oven-dried aboveground biomass of all plants (tree, shrub, graminoid, forb, bryophyte) and all woody plants (tree, shrub) at 30-meter resolution across the Arctic tundra biome. Estimates of woody plant dominance are also provided as: (woody plant biomass / plant biomass) * 100. Plant biomass and woody plant biomass were estimated for each pixel (grams per square meter [g / m2]) using field harvest data for calibration/validation along with modeled seasonal surface reflectance data derived using Landsat satellite imagery and the Continuous Change Detection and Classification algorithm, and other supplementary predictors related to topography, region (e.g. bioclimate zone, ecosystem type), land cover, and derivative spectral products. Modeling was performed in a two-stage process using random forest models. First, biomass presence/absence was predicted using probability forests. Then, biomass quantity was predicted using regression forests. The model outputs were combined to produce final biomass estimates. Pixel uncertainty was assessed using Monte Carlo iterations. Field and remote sensing data were permuted during each iteration and the median (50th percentile, p500) predictions for each pixel were considered best estimates. In addition, this dataset provides the lower (2.5th percentile, p025) and upper (97.5th percentile, p975) bounds of a 95% uncertainty interval. Estimates of woody plant dominance are not modeled directly, but rather derived from plant biomass and woody plant biomass best estimates. The Pan Arctic domain includes both the Polar Arctic, defined using bioclimate zone data from the Circumpolar Arctic Vegetation Mapping Project (CAVM; Walker et al., 2005), and the Oro Arctic (treeless alpine tundra at high latitudes outside the Polar Arctic), defined using tundra ecoregions from the RESOLVE ecoregions dataset (Dinerstein et al., 2017) and treeline data from CAVM (CAVM Team, 2003). The mapped products focus on Arctic tundra vegetation biomass, but the coarse delineation of this biome meant some forested areas were included within the study domain. Therefore, this dataset also provides a tree mask product that can be used to mask out areas with canopy height ≥ 5 meters. This mask helps reduce, but does not eliminate entirely, areas of dense tree cover within the domain. Users should be cautious of predictions in forested areas as the models used to predict biomass were not well constrained in these areas. This dataset includes 132 files: 128 cloud-optimized GeoTIFFs, 2 tables in comma-separated values (CSV) format, 1 vector polygon in Shapefile format, and one figure in JPEG format. Raster data is provided in the WGS 84 / North Pole LAEA Bering Sea projection (EPSG:3571) at 30 meter (m) resolution. Raster data are tiled with letters representing rows and numbers representing columns, but note that some tiles do not contain unmasked pixels. We included all tiles nonetheless to maintain consistency. Tiling information can be found in the ‘metadata’ directory as a figure (JPEG) or shapefile.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18739/a2ns0m06b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18739/a2ns0m06b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024 Canada, Canada, Denmark, Finland, SwedenPublisher:Springer Science and Business Media LLC Funded by:NSF | LTER: Changing Disturbanc..., AKA | Towards mechanistic under..., NSERC +5 projectsNSF| LTER: Changing Disturbances, Ecological Legacies, and the Future of the Alaskan Boreal Forest ,AKA| Towards mechanistic understanding of reindeer impacts on wetland carbon balance (ReindeerPaths) ,NSERC ,NSF| Collaborative Research: Vegetation And Ecosystem Impacts On Permafrost Vulnerability ,AKA| Land use as a modulator of land cover transitions and the ecosystem–atmosphere carbon balance (LANDMOD) ,AKA| RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS IN IN NORTHWEST EURASIA (RISES) ,EC| CHARTER ,NSF| NNA Research: Collaborative Research: Fate of the Caribou: from local knowledge to range-wide dynamics in the changing ArcticLogan T. Berner; Kathleen M. Orndahl; Melissa Rose; Mikkel Tamstorf; Marie F. Arndal; Heather D. Alexander; Elyn R. Humphreys; Michael M. Loranty; Sarah M. Ludwig; Johanna Nyman; Sari Juutinen; Mika Aurela; Konsta Happonen; Juha Mikola; Michelle C. Mack; Mathew R. Vankoughnett; Colleen M. Iversen; Verity G. Salmon; Dedi Yang; Jitendra Kumar; Paul Grogan; Ryan K. Danby; Neal A. Scott; Johan Olofsson; Matthias B. Siewert; Lucas Deschamps; Esther Lévesque; Vincent Maire; Amélie Morneault; Gilles Gauthier; Charles Gignac; Stéphane Boudreau; Anna Gaspard; Alexander Kholodov; M. Syndonia Bret-Harte; Heather E. Greaves; Donald Walker; Fiona M. Gregory; Anders Michelsen; Timo Kumpula; Miguel Villoslada; Henni Ylänne; Miska Luoto; Tarmo Virtanen; Bruce C. Forbes; Norbert Hölzel; Howard Epstein; Ramona J. Heim; Andrew Bunn; Robert M. Holmes; Jacqueline K. Y. Hung; Susan M. Natali; Anna-Maria Virkkala; Scott J. Goetz;AbstractPlant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic plant aboveground biomass synthesis dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass (g m−2) on 2,327 sample plots from 636 field sites in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.
Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555088Data sources: Bielefeld Academic Search Engine (BASE)Université du Québec à Trois-Rivières: Dépôt numérique de UQTRArticle . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2024 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemPublikationer från Umeå universitetArticle . 2024 . Peer-reviewedData sources: Publikationer från Umeå universitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-024-03139-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555088Data sources: Bielefeld Academic Search Engine (BASE)Université du Québec à Trois-Rivières: Dépôt numérique de UQTRArticle . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2024 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemPublikationer från Umeå universitetArticle . 2024 . Peer-reviewedData sources: Publikationer från Umeå universitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-024-03139-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024 Canada, Canada, Denmark, Finland, SwedenPublisher:Springer Science and Business Media LLC Funded by:NSF | LTER: Changing Disturbanc..., AKA | Towards mechanistic under..., NSERC +5 projectsNSF| LTER: Changing Disturbances, Ecological Legacies, and the Future of the Alaskan Boreal Forest ,AKA| Towards mechanistic understanding of reindeer impacts on wetland carbon balance (ReindeerPaths) ,NSERC ,NSF| Collaborative Research: Vegetation And Ecosystem Impacts On Permafrost Vulnerability ,AKA| Land use as a modulator of land cover transitions and the ecosystem–atmosphere carbon balance (LANDMOD) ,AKA| RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS IN IN NORTHWEST EURASIA (RISES) ,EC| CHARTER ,NSF| NNA Research: Collaborative Research: Fate of the Caribou: from local knowledge to range-wide dynamics in the changing ArcticLogan T. Berner; Kathleen M. Orndahl; Melissa Rose; Mikkel Tamstorf; Marie F. Arndal; Heather D. Alexander; Elyn R. Humphreys; Michael M. Loranty; Sarah M. Ludwig; Johanna Nyman; Sari Juutinen; Mika Aurela; Konsta Happonen; Juha Mikola; Michelle C. Mack; Mathew R. Vankoughnett; Colleen M. Iversen; Verity G. Salmon; Dedi Yang; Jitendra Kumar; Paul Grogan; Ryan K. Danby; Neal A. Scott; Johan Olofsson; Matthias B. Siewert; Lucas Deschamps; Esther Lévesque; Vincent Maire; Amélie Morneault; Gilles Gauthier; Charles Gignac; Stéphane Boudreau; Anna Gaspard; Alexander Kholodov; M. Syndonia Bret-Harte; Heather E. Greaves; Donald Walker; Fiona M. Gregory; Anders Michelsen; Timo Kumpula; Miguel Villoslada; Henni Ylänne; Miska Luoto; Tarmo Virtanen; Bruce C. Forbes; Norbert Hölzel; Howard Epstein; Ramona J. Heim; Andrew Bunn; Robert M. Holmes; Jacqueline K. Y. Hung; Susan M. Natali; Anna-Maria Virkkala; Scott J. Goetz;AbstractPlant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic plant aboveground biomass synthesis dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass (g m−2) on 2,327 sample plots from 636 field sites in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.
Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555088Data sources: Bielefeld Academic Search Engine (BASE)Université du Québec à Trois-Rivières: Dépôt numérique de UQTRArticle . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2024 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemPublikationer från Umeå universitetArticle . 2024 . Peer-reviewedData sources: Publikationer från Umeå universitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-024-03139-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555088Data sources: Bielefeld Academic Search Engine (BASE)Université du Québec à Trois-Rivières: Dépôt numérique de UQTRArticle . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2024 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemPublikationer från Umeå universitetArticle . 2024 . Peer-reviewedData sources: Publikationer från Umeå universitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-024-03139-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2024Publisher:ICOS ERIC - Carbon Portal ICOS RI; Aalto, Juho; Aalto, Pasi; Aaltonen, Hermanni; Aiguier, Thomas; Akubia, John; Ala-Könni, Joonatan; Alivernini, Alessandro; Aluome, Christelle; Andersson, Tommy; Arca, Angelo; Arriga, Nicola; Aurela, Mika; BRECHET, Laetitia; Baab, Felix; Back, Jaana; Baltes, Uwe; Baneschi, Ilaria; Barten, Sjoerd; Baur, Thomas; Bauters, Marijn; Bazot, Stéphane; Beauclair, Patrick; Becker, Nils; Belelli Marchesini, Luca; Bergström, Gunnar; Bernhofer, Christian; Berveiller, Daniel; Biermann, Tobias; Bignotti, Laura; Biron, Romain; Bloor, Juliette; Bodson, Bernard; Boeckx, Pascal; Bogaerts, Gaëtan; Bonal, Damien; Boon, Geraldine; Bornet, Frédéric; Bortoli, Massimo; Bosio, Isabelle; Brut, Aurore; Brümmer, Christian; Buchmann, Nina; Bulonza, Emmanuel; Burban, Benoit; Buysse, Pauline; Båth, Anders; Calandrelli, Davide; Calvet, Jean-Christophe; Canut-Rocafort, Guylaine; Carrara, Arnaud; Cavagna, Mauro; Ceschia, Eric (ORCID: 0000-0001-5941-752X); Chabbi, Abad; Chan, Tommy; Chebbi, Wafa; Chianucci, Francesco; Chipeaux, Christophe; Chopin, Henri; Christen, Andreas; Chrysoulakis, Nektarios (ORCID: 0000-0002-5208-626X); Claverie, Nicole; Cobbe, Ivo (ORCID: 0000-0001-7898-380X); Cohard, Jean-Martial; Colosse, David; Conte, Adriano; Corsanici, Roberto; Coulaud, Catherine; Courtois, Pascal; Coyle, Mhairi; Cremonese, Edoardo; Crill, Patrick; Cuntz, Matthias; Cuocolo, Donato; Czerný, Radek; DEPUYDT, Jeremie; Daelman, Roxanne; Darenová, Eva; Darsonville, Olivier; De Ligne, Anne; De Meulder, Tim; De Simon, Giuseppe; Decau, Marie-Laure; Dell'Acqua, Alessandro; Delorme, Jean-Pierre; Delpierre, Nicolas; Demoulin, Loïc; Denou, Jean-Luc; Di Tommasi, Paul; Dienstbach, Laura; Dignam, Rowan; Dolfus, Daniel; Domec, Jean-Christophe; Douxfils, Bernard; Drösler, Matthias; Drüe, Clemens; Dufrêne, Eric; Dumont, Benjamin; Durand, Brigitte; Dusek, Jiri; Eberl, Jörg; Eichelmann, Uwe; Ekili, David; Engelmann, Thibaut; Esposito, Andrea; Esser, Odilia; Etienne, Jean-Claude; Etzold, Sophia; Eugster, Werner; Famulari, Daniela; Fares, Silvano; Faurès, Ariane; Fauvel, Yannick; Feigenwinter, Iris; Feldmann, Isabella; Fincham, William; Finco, Angelo; Fischer, Milan; Flechard, Christophe; Foltýnová, Lenka (ORCID: 0000-0001-8202-955X); Foulquier, Arnaud; Friborg, Thomas; Galliot, Jean-Noel; Galvagno, Marta (ORCID: 0000-0002-0827-487X); Garcia Quiros, Inmaculada; Garrigou, Cyriane; Gastal, Francois; Geilfus, Nicolas-Xavier; Gerosa, Giacomo; Gessler, Arthur; Gharun, Mana; Giamberini, Mariasilvia; Gianelle, Damiano; Gibrin, Hervé; Gimper, Sebastian; Goded, Ignacio; Graf, Alexander; Granouillac, Franck; Grehan, Eric; Grenier, Maude; Grudd, Håkan; Grünwald, Thomas; Guillot, Timothé; Hamon, Yannick; Harvey, Duncan; Hatakka, Juha; Haustein, Andreas; Hehn, Markus; Heinesch, Bernard; Helfter, Carole; Heliasz, Michal; Holst, Jutta; Holst, Thomas; Holtmann, Achim; Hug, Christian; Huguet, Christophe; Häni, Mattias; Hörtnagl, Lukas; Ibrom, Andreas (ORCID: 0000-0002-1341-921X); Ilardi, Filippo; Jackowicz-Korczynski, Marcin Antoni; Jacotot, Adrien; Janssens, Ivan; Jensen, Rasmus (ORCID: 0000-0001-8478-644X); Jocher, Georg; Joetzjer, Emilie; Jones, Matthew; Järvi, Leena; Kempf, Jean; Keronen, Petri; Kettler, Martina; Kimbesa, Fabrice; Kivalov, Sergey; Klatt, Janina; Kljun, Natascha; Klosterhalfen, Anne; Klumpp, Katja; Knohl, Alexander; Kogxylakis, Giorgos; Kolari, Pasi; Kolbe, Sven; Korkiakoski, Mika; Korrensalo, Aino; Kowalska, Natalia; Kozii, Nataliia; Krejza, Jan; Kristoffersson, Annika; Kruijt, Bart; Kruszewski, Alain; Kulmala, Liisa; Kumar, Simpal; Kummer, Sirgit; Laakso, Heikki; Lafont, Sebastien; Lange Rønn, Erik; Larmanou, Eric; Laurila, Tuomas; Leeson, Sarah; Lefevre, Lodewijk; Lehner, Irene;This is the 2024-1 release of the ICOS final quality ecosystem data product that includes eddy covariance fluxes, meteorological observations, ancillary and biometric data and full metadata at 73 labelled ICOS stations in the ecosystem domain. The archives contain more detailed description of the different data files contained in the archives. Measurements have been collected using the following instructions: ICOS Ecosystem Instructions for Air Meteorological Measurements (TA, RH, PA, WS, WD), https://doi.org/10.18160/NHEG-4KWW ICOS Ecosystem Instructions for Turbulent Flux Measurements of CO2, Energy and Momentum, https://doi.org/10.18160/QWV4-639G
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3730f562f9e::bca535632607eacc08fc0843bb39bd54&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3730f562f9e::bca535632607eacc08fc0843bb39bd54&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2024Publisher:ICOS ERIC - Carbon Portal ICOS RI; Aalto, Juho; Aalto, Pasi; Aaltonen, Hermanni; Aiguier, Thomas; Akubia, John; Ala-Könni, Joonatan; Alivernini, Alessandro; Aluome, Christelle; Andersson, Tommy; Arca, Angelo; Arriga, Nicola; Aurela, Mika; BRECHET, Laetitia; Baab, Felix; Back, Jaana; Baltes, Uwe; Baneschi, Ilaria; Barten, Sjoerd; Baur, Thomas; Bauters, Marijn; Bazot, Stéphane; Beauclair, Patrick; Becker, Nils; Belelli Marchesini, Luca; Bergström, Gunnar; Bernhofer, Christian; Berveiller, Daniel; Biermann, Tobias; Bignotti, Laura; Biron, Romain; Bloor, Juliette; Bodson, Bernard; Boeckx, Pascal; Bogaerts, Gaëtan; Bonal, Damien; Boon, Geraldine; Bornet, Frédéric; Bortoli, Massimo; Bosio, Isabelle; Brut, Aurore; Brümmer, Christian; Buchmann, Nina; Bulonza, Emmanuel; Burban, Benoit; Buysse, Pauline; Båth, Anders; Calandrelli, Davide; Calvet, Jean-Christophe; Canut-Rocafort, Guylaine; Carrara, Arnaud; Cavagna, Mauro; Ceschia, Eric (ORCID: 0000-0001-5941-752X); Chabbi, Abad; Chan, Tommy; Chebbi, Wafa; Chianucci, Francesco; Chipeaux, Christophe; Chopin, Henri; Christen, Andreas; Chrysoulakis, Nektarios (ORCID: 0000-0002-5208-626X); Claverie, Nicole; Cobbe, Ivo (ORCID: 0000-0001-7898-380X); Cohard, Jean-Martial; Colosse, David; Conte, Adriano; Corsanici, Roberto; Coulaud, Catherine; Courtois, Pascal; Coyle, Mhairi; Cremonese, Edoardo; Crill, Patrick; Cuntz, Matthias; Cuocolo, Donato; Czerný, Radek; DEPUYDT, Jeremie; Daelman, Roxanne; Darenová, Eva; Darsonville, Olivier; De Ligne, Anne; De Meulder, Tim; De Simon, Giuseppe; Decau, Marie-Laure; Dell'Acqua, Alessandro; Delorme, Jean-Pierre; Delpierre, Nicolas; Demoulin, Loïc; Denou, Jean-Luc; Di Tommasi, Paul; Dienstbach, Laura; Dignam, Rowan; Dolfus, Daniel; Domec, Jean-Christophe; Douxfils, Bernard; Drösler, Matthias; Drüe, Clemens; Dufrêne, Eric; Dumont, Benjamin; Durand, Brigitte; Dusek, Jiri; Eberl, Jörg; Eichelmann, Uwe; Ekili, David; Engelmann, Thibaut; Esposito, Andrea; Esser, Odilia; Etienne, Jean-Claude; Etzold, Sophia; Eugster, Werner; Famulari, Daniela; Fares, Silvano; Faurès, Ariane; Fauvel, Yannick; Feigenwinter, Iris; Feldmann, Isabella; Fincham, William; Finco, Angelo; Fischer, Milan; Flechard, Christophe; Foltýnová, Lenka (ORCID: 0000-0001-8202-955X); Foulquier, Arnaud; Friborg, Thomas; Galliot, Jean-Noel; Galvagno, Marta (ORCID: 0000-0002-0827-487X); Garcia Quiros, Inmaculada; Garrigou, Cyriane; Gastal, Francois; Geilfus, Nicolas-Xavier; Gerosa, Giacomo; Gessler, Arthur; Gharun, Mana; Giamberini, Mariasilvia; Gianelle, Damiano; Gibrin, Hervé; Gimper, Sebastian; Goded, Ignacio; Graf, Alexander; Granouillac, Franck; Grehan, Eric; Grenier, Maude; Grudd, Håkan; Grünwald, Thomas; Guillot, Timothé; Hamon, Yannick; Harvey, Duncan; Hatakka, Juha; Haustein, Andreas; Hehn, Markus; Heinesch, Bernard; Helfter, Carole; Heliasz, Michal; Holst, Jutta; Holst, Thomas; Holtmann, Achim; Hug, Christian; Huguet, Christophe; Häni, Mattias; Hörtnagl, Lukas; Ibrom, Andreas (ORCID: 0000-0002-1341-921X); Ilardi, Filippo; Jackowicz-Korczynski, Marcin Antoni; Jacotot, Adrien; Janssens, Ivan; Jensen, Rasmus (ORCID: 0000-0001-8478-644X); Jocher, Georg; Joetzjer, Emilie; Jones, Matthew; Järvi, Leena; Kempf, Jean; Keronen, Petri; Kettler, Martina; Kimbesa, Fabrice; Kivalov, Sergey; Klatt, Janina; Kljun, Natascha; Klosterhalfen, Anne; Klumpp, Katja; Knohl, Alexander; Kogxylakis, Giorgos; Kolari, Pasi; Kolbe, Sven; Korkiakoski, Mika; Korrensalo, Aino; Kowalska, Natalia; Kozii, Nataliia; Krejza, Jan; Kristoffersson, Annika; Kruijt, Bart; Kruszewski, Alain; Kulmala, Liisa; Kumar, Simpal; Kummer, Sirgit; Laakso, Heikki; Lafont, Sebastien; Lange Rønn, Erik; Larmanou, Eric; Laurila, Tuomas; Leeson, Sarah; Lefevre, Lodewijk; Lehner, Irene;This is the 2024-1 release of the ICOS final quality ecosystem data product that includes eddy covariance fluxes, meteorological observations, ancillary and biometric data and full metadata at 73 labelled ICOS stations in the ecosystem domain. The archives contain more detailed description of the different data files contained in the archives. Measurements have been collected using the following instructions: ICOS Ecosystem Instructions for Air Meteorological Measurements (TA, RH, PA, WS, WD), https://doi.org/10.18160/NHEG-4KWW ICOS Ecosystem Instructions for Turbulent Flux Measurements of CO2, Energy and Momentum, https://doi.org/10.18160/QWV4-639G
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3730f562f9e::bca535632607eacc08fc0843bb39bd54&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3730f562f9e::bca535632607eacc08fc0843bb39bd54&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Review 2018 Finland, FrancePublisher:Polish Academy of Sciences Rebmann, Corinna; Aubinet, Marc; Schmid, Hape; Arriga, Nicola; Aurela, Mika; Burba, George; Clément, Robert; de Ligne, Anne; Fratini, Gerardo; Gielen, Bert; Grace, John; Graf, Alexander; Gross, Patrick; Haapanala, Sami; Herbst, Mathias; Hörtnagl, Lukas; Ibrom, Andreas; Joly, Lilian; Kljun, Natascha; Kolle, Olaf; Kowalski, Andrew; Lindroth, Anders; Loustau, Denis; Mammarella, Ivan; Mauder, Matthias; Merbold, Lutz; Metzger, Stefan; Mölder, Meelis; Montagnani, Leonardo; Papale, Dario; Pavelka, Marian; Peichl, Matthias; Roland, Marilyn; Serrano-Ortiz, Penélope; Siebicke, Lukas; Steinbrecher, Rainer; Tuovinen, Juha-Pekka; Vesala, Timo; Wohlfahrt, Georg; Franz, Daniela;handle: 10138/294736
The Integrated Carbon Observation System Re-search Infrastructure aims to provide long-term, continuous observations of sources and sinks of greenhouse gases such as carbon dioxide, methane, nitrous oxide, and water vapour. At ICOS ecosystem stations, the principal technique for measurements of ecosystem-atmosphere exchange of GHGs is the eddy-covariance technique. The establishment and setup of an eddy-covariance tower have to be carefully reasoned to ensure high quality flux measurements being representative of the investigated ecosystem and comparable to measurements at other stations. To fulfill the requirements needed for flux determination with the eddy-covariance technique, variations in GHG concentrations have to be measured at high frequency, simultaneously with the wind velocity, in order to fully capture turbulent fluctuations. This requires the use of high-frequency gas analysers and ultrasonic anemometers. In addition, to analyse flux data with respect to environmental conditions but also to enable corrections in the post-processing procedures, it is necessary to measure additional abiotic variables in close vicinity to the flux measurements. Here we describe the standards the ICOS ecosystem station network has adopted for GHG flux measurements with respect to the setup of instrumentation on towers to maximize measurement precision and accuracy while allowing for flexibility in order to observe specific ecosystem features. Peer reviewed
HELDA - Digital Repo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiReview . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10138/294736&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert HELDA - Digital Repo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiReview . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10138/294736&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Review 2018 Finland, FrancePublisher:Polish Academy of Sciences Rebmann, Corinna; Aubinet, Marc; Schmid, Hape; Arriga, Nicola; Aurela, Mika; Burba, George; Clément, Robert; de Ligne, Anne; Fratini, Gerardo; Gielen, Bert; Grace, John; Graf, Alexander; Gross, Patrick; Haapanala, Sami; Herbst, Mathias; Hörtnagl, Lukas; Ibrom, Andreas; Joly, Lilian; Kljun, Natascha; Kolle, Olaf; Kowalski, Andrew; Lindroth, Anders; Loustau, Denis; Mammarella, Ivan; Mauder, Matthias; Merbold, Lutz; Metzger, Stefan; Mölder, Meelis; Montagnani, Leonardo; Papale, Dario; Pavelka, Marian; Peichl, Matthias; Roland, Marilyn; Serrano-Ortiz, Penélope; Siebicke, Lukas; Steinbrecher, Rainer; Tuovinen, Juha-Pekka; Vesala, Timo; Wohlfahrt, Georg; Franz, Daniela;handle: 10138/294736
The Integrated Carbon Observation System Re-search Infrastructure aims to provide long-term, continuous observations of sources and sinks of greenhouse gases such as carbon dioxide, methane, nitrous oxide, and water vapour. At ICOS ecosystem stations, the principal technique for measurements of ecosystem-atmosphere exchange of GHGs is the eddy-covariance technique. The establishment and setup of an eddy-covariance tower have to be carefully reasoned to ensure high quality flux measurements being representative of the investigated ecosystem and comparable to measurements at other stations. To fulfill the requirements needed for flux determination with the eddy-covariance technique, variations in GHG concentrations have to be measured at high frequency, simultaneously with the wind velocity, in order to fully capture turbulent fluctuations. This requires the use of high-frequency gas analysers and ultrasonic anemometers. In addition, to analyse flux data with respect to environmental conditions but also to enable corrections in the post-processing procedures, it is necessary to measure additional abiotic variables in close vicinity to the flux measurements. Here we describe the standards the ICOS ecosystem station network has adopted for GHG flux measurements with respect to the setup of instrumentation on towers to maximize measurement precision and accuracy while allowing for flexibility in order to observe specific ecosystem features. Peer reviewed
HELDA - Digital Repo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiReview . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10138/294736&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert HELDA - Digital Repo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiReview . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10138/294736&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020 FinlandPublisher:Informa UK Limited Funded by:AKA | Role of upland forest soi..., AKA | Mechanisms, pathways and ..., AKA | Carbon dynamics across Ar... +1 projectsAKA| Role of upland forest soils in regional methane balance: from catchment to global scales / Consortium: UPFORMET ,AKA| Mechanisms, pathways and patchiness of the Arctic ecosystem responses and adaptation to changing climate / Consortium: ClimEco ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTURE ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTUREMargaret Kalacska; Mika Aurela; Tarmo Virtanen; Aleksi Räsänen; Sari Juutinen; Sari Juutinen; Aleksi Rimali; Kari Maenpaa; Pauli Heikkinen;There is fine-scale spatial heterogeneity in key vegetation properties including leaf-area index (LAI) and biomass in treeless northern peatlands, and hyperspectral drone data with high spatial and spectral resolution could detect the spatial patterns with high accuracy. However, the advantage of hyperspectral drone data has not been tested in a multi-source remote sensing approach (i.e. inclusion of multiple different remote sensing datatypes); and overall, sub-meter-level leaf-area index (LAI) and biomass maps have largely been absent. We evaluated the detectability of LAI and biomass patterns at a northern boreal fen (Halssiaapa) in northern Finland with multi-temporal and multi-source remote sensing data and assessed the benefit of hyperspectral drone data. We measured vascular plant percentage cover and height as well as moss cover in 140 field plots and connected the structural information to measured aboveground vascular LAI and biomass and moss biomass with linear regressions. We predicted both total and plant functional type (PFT) specific LAI and biomass patterns with random forests regressions with predictors including RGB and hyperspectral drone (28 bands in a spectral range of 500–900 nm), aerial and satellite imagery as well as topography and vegetation height information derived from structure-from-motion drone photogrammetry and aerial lidar data. The modeling performance was between moderate and good for total LAI and biomass (mean explained variance between 49.8 and 66.5%) and variable for PFTs (0.3–61.6%). Hyperspectral data increased model performance in most of the regressions, usually relatively little, but in some of the regressions, the inclusion of hyperspectral data even decreased model performance (change in mean explained variance between −14.5 and 9.1%-points). The most important features in regressions included drone topography, vegetation height, hyperspectral and RGB features. The spatial patterns and landscape estimates of LAI and biomass were quite similar in regressions with or without hyperspectral data, in particular for moss and total biomass. The results suggest that the fine-scale spatial patterns of peatland LAI and biomass can be detected with multi-source remote sensing data, vegetation mapping should include both spectral and topographic predictors at sub-meter-level spatial resolution and that hyperspectral imagery gives only slight benefits.
GIScience & Remo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/15481603.2020.1829377&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 29 citations 29 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert GIScience & Remo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/15481603.2020.1829377&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020 FinlandPublisher:Informa UK Limited Funded by:AKA | Role of upland forest soi..., AKA | Mechanisms, pathways and ..., AKA | Carbon dynamics across Ar... +1 projectsAKA| Role of upland forest soils in regional methane balance: from catchment to global scales / Consortium: UPFORMET ,AKA| Mechanisms, pathways and patchiness of the Arctic ecosystem responses and adaptation to changing climate / Consortium: ClimEco ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTURE ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTUREMargaret Kalacska; Mika Aurela; Tarmo Virtanen; Aleksi Räsänen; Sari Juutinen; Sari Juutinen; Aleksi Rimali; Kari Maenpaa; Pauli Heikkinen;There is fine-scale spatial heterogeneity in key vegetation properties including leaf-area index (LAI) and biomass in treeless northern peatlands, and hyperspectral drone data with high spatial and spectral resolution could detect the spatial patterns with high accuracy. However, the advantage of hyperspectral drone data has not been tested in a multi-source remote sensing approach (i.e. inclusion of multiple different remote sensing datatypes); and overall, sub-meter-level leaf-area index (LAI) and biomass maps have largely been absent. We evaluated the detectability of LAI and biomass patterns at a northern boreal fen (Halssiaapa) in northern Finland with multi-temporal and multi-source remote sensing data and assessed the benefit of hyperspectral drone data. We measured vascular plant percentage cover and height as well as moss cover in 140 field plots and connected the structural information to measured aboveground vascular LAI and biomass and moss biomass with linear regressions. We predicted both total and plant functional type (PFT) specific LAI and biomass patterns with random forests regressions with predictors including RGB and hyperspectral drone (28 bands in a spectral range of 500–900 nm), aerial and satellite imagery as well as topography and vegetation height information derived from structure-from-motion drone photogrammetry and aerial lidar data. The modeling performance was between moderate and good for total LAI and biomass (mean explained variance between 49.8 and 66.5%) and variable for PFTs (0.3–61.6%). Hyperspectral data increased model performance in most of the regressions, usually relatively little, but in some of the regressions, the inclusion of hyperspectral data even decreased model performance (change in mean explained variance between −14.5 and 9.1%-points). The most important features in regressions included drone topography, vegetation height, hyperspectral and RGB features. The spatial patterns and landscape estimates of LAI and biomass were quite similar in regressions with or without hyperspectral data, in particular for moss and total biomass. The results suggest that the fine-scale spatial patterns of peatland LAI and biomass can be detected with multi-source remote sensing data, vegetation mapping should include both spectral and topographic predictors at sub-meter-level spatial resolution and that hyperspectral imagery gives only slight benefits.
GIScience & Remo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/15481603.2020.1829377&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 29 citations 29 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert GIScience & Remo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/15481603.2020.1829377&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 FinlandPublisher:American Geophysical Union (AGU) Funded by:NSF | BII-Implementation: The E..., NSF | NSF Postdoctoral Fellowsh...NSF| BII-Implementation: The EMERGE Institute: Identifying EMergent Ecosystem Responses through Genes-to-Ecosystems Integration ,NSF| NSF Postdoctoral Fellowship in Biology FY 2021: Integrating microbial dynamics into methane models for northern peatland and post-glacial lakesMcKenzie A. Kuhn; Ruth K. Varner; Carmody K. McCalley; Clarice R. Perryman; Mika Aurela; Sophia A. Burke; Jeffrey P. Chanton; Patrick M. Crill; Jessica DelGreco; Jia Deng; Liam Heffernan; Christina Herrick; Suzanne B. Hodgkins; Cheristy P. Jones; Sari Juutinen; Evan S. Kane; Louis J. Lamit; Tuula Larmola; Erik Lilleskov; David Olefeldt; Michael W. Palace; Virginia I. Rich; Christopher Schulze; Joanne H. Shorter; Franklin B. Sullivan; Oliver Sonnentag; Merritt R. Turetsky; Mark P. Waldrop;doi: 10.1029/2023jg007837
AbstractNorthern peatlands are a globally significant source of methane (CH4), and emissions are projected to increase due to warming and permafrost loss. Understanding the microbial mechanisms behind patterns in CH4 production in peatlands will be key to predicting annual emissions changes, with stable carbon isotopes (δ13C‐CH4) being a powerful tool for characterizing these drivers. Given that δ13C‐CH4 is used in top‐down atmospheric inversion models to partition sources, our ability to model CH4 production pathways and associated δ13C‐CH4 values is critical. We sought to characterize the role of environmental conditions, including hydrologic and vegetation patterns associated with permafrost thaw, on δ13C‐CH4 values from high‐latitude peatlands. We measured porewater and emitted CH4 stable isotopes, pH, and vegetation composition from five boreal‐Arctic peatlands. Porewater δ13C‐CH4 was strongly associated with peatland type, with δ13C enriched values obtained from more minerotrophic fens (−61.2 ± 9.1‰) compared to permafrost‐free bogs (−74.1 ± 9.4‰) and raised permafrost bogs (−81.6 ± 11.5‰). Variation in porewater δ13C‐CH4 was best explained by sedge cover, CH4 concentration, and the interactive effect of peatland type and pH (r2 = 0.50, p < 0.001). Emitted δ13C‐CH4 varied greatly but was positively correlated with porewater δ13C‐CH4. We calculated a mixed atmospheric δ13C‐CH4 value for northern peatlands of −65.3 ± 7‰ and show that this value is more sensitive to landscape drying than wetting under permafrost thaw scenarios. Our results suggest northern peatland δ13C‐CH4 values are likely to shift in the future which has important implications for source partitioning in atmospheric inversion models.
Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555110Data sources: Bielefeld Academic Search Engine (BASE)Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007837&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555110Data sources: Bielefeld Academic Search Engine (BASE)Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007837&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 FinlandPublisher:American Geophysical Union (AGU) Funded by:NSF | BII-Implementation: The E..., NSF | NSF Postdoctoral Fellowsh...NSF| BII-Implementation: The EMERGE Institute: Identifying EMergent Ecosystem Responses through Genes-to-Ecosystems Integration ,NSF| NSF Postdoctoral Fellowship in Biology FY 2021: Integrating microbial dynamics into methane models for northern peatland and post-glacial lakesMcKenzie A. Kuhn; Ruth K. Varner; Carmody K. McCalley; Clarice R. Perryman; Mika Aurela; Sophia A. Burke; Jeffrey P. Chanton; Patrick M. Crill; Jessica DelGreco; Jia Deng; Liam Heffernan; Christina Herrick; Suzanne B. Hodgkins; Cheristy P. Jones; Sari Juutinen; Evan S. Kane; Louis J. Lamit; Tuula Larmola; Erik Lilleskov; David Olefeldt; Michael W. Palace; Virginia I. Rich; Christopher Schulze; Joanne H. Shorter; Franklin B. Sullivan; Oliver Sonnentag; Merritt R. Turetsky; Mark P. Waldrop;doi: 10.1029/2023jg007837
AbstractNorthern peatlands are a globally significant source of methane (CH4), and emissions are projected to increase due to warming and permafrost loss. Understanding the microbial mechanisms behind patterns in CH4 production in peatlands will be key to predicting annual emissions changes, with stable carbon isotopes (δ13C‐CH4) being a powerful tool for characterizing these drivers. Given that δ13C‐CH4 is used in top‐down atmospheric inversion models to partition sources, our ability to model CH4 production pathways and associated δ13C‐CH4 values is critical. We sought to characterize the role of environmental conditions, including hydrologic and vegetation patterns associated with permafrost thaw, on δ13C‐CH4 values from high‐latitude peatlands. We measured porewater and emitted CH4 stable isotopes, pH, and vegetation composition from five boreal‐Arctic peatlands. Porewater δ13C‐CH4 was strongly associated with peatland type, with δ13C enriched values obtained from more minerotrophic fens (−61.2 ± 9.1‰) compared to permafrost‐free bogs (−74.1 ± 9.4‰) and raised permafrost bogs (−81.6 ± 11.5‰). Variation in porewater δ13C‐CH4 was best explained by sedge cover, CH4 concentration, and the interactive effect of peatland type and pH (r2 = 0.50, p < 0.001). Emitted δ13C‐CH4 varied greatly but was positively correlated with porewater δ13C‐CH4. We calculated a mixed atmospheric δ13C‐CH4 value for northern peatlands of −65.3 ± 7‰ and show that this value is more sensitive to landscape drying than wetting under permafrost thaw scenarios. Our results suggest northern peatland δ13C‐CH4 values are likely to shift in the future which has important implications for source partitioning in atmospheric inversion models.
Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555110Data sources: Bielefeld Academic Search Engine (BASE)Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007837&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555110Data sources: Bielefeld Academic Search Engine (BASE)Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007837&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2010Publisher:OpenAlex Chuixiang Yi; D. M. Ricciuto; Runze Li; John Wolbeck; Xiyan Xu; Mats Nilsson; Luís Aires; J. D. Albertson; Christof Ammann; M. Altaf Arain; Alessandro Araújo; Marc Aubinet; Mika Aurela; Zoltán Barcza; Alan G. Barr; Paul Berbigier; Jason Beringer; Christian Bernhofer; Andrew Black; Paul V. Bolstad; Fred C. Bosveld; M. S. J. Broadmeadow; Nina Buchmann; Sean P. Burns; Pierre Cellier; Jingming Chen; Jiquan Chen; Philippe Ciais; Robert Clement; Bruce D. Cook; Peter S. Curtis; D. B. Dail; Ebba Dellwik; Nicolas Delpierre; Ankur R. Desai; Sabina Dore; D. Dragoni; Bert G. Drake; Éric Dufrêne; Allison L. Dunn; J.A. Elbers; Werner Eugster; Matthias Falk; Christian Feigenwinter; Lawrence B. Flanagan; Thomas Foken; J. M. Frank; J. Fuhrer; Damiano Gianelle; Allen H. Goldstein; Mike Goulden; André Granier; T. Gruenwald; Lianhong Gu; Haiqiang Guo; Albin Hammerle; Shijie Han; Niall P. Hanan; László Haszpra; Bernard Heinesch; Carole Helfter; Dimmie Hendriks; Lindsay B. Hutley; Andreas Ibrom; C. Jacobs; Torbjoern Johansson; Marjan Jongen; Gabriel G. Katul; Gerard Kiely; Katja Klumpp; Alexander Knohl; Thomas E. Kolb; Werner L. Kutsch; Peter M. Lafleur; Tuomas Laurila; R. Leuning; Anders Lindroth; Heping Li; Benjamin Loubet; Giovanni Manca; Michal V. Marek; Hank A. Margolis; Timothy A. Martin; W. J. Massman; Roser Matamala; Giorgio Matteucci; Harry McCaughey; Lutz Merbold; Tilden Meyers; Mirco Migliavacca; Franco Miglietta; Laurent Misson; Meelis Moelder; John Moncrieff; Russell K. Monson; Leonardo Montagnani; M. Montes-Helu; Eddy Moors; Christine Moureaux; M. M. Mukelabai;Comprendre les relations entre le climat et l'échange de carbone par les écosystèmes terrestres est essentiel pour prédire les niveaux futurs de dioxyde de carbone atmosphérique en raison des effets d'accélération potentiels des rétroactions positives du cycle climat-carbone. Cependant, les relations directement observées entre le climat et l'échange de CO2 terrestre avec l'atmosphère à travers les biomes et les continents font défaut. Nous présentons ici des données décrivant les relations entre l'échange net de carbone par les écosystèmes (NEE) et les facteurs climatiques tels que mesurés à l'aide de la méthode de covariance de Foucault sur 125 sites uniques dans divers écosystèmes sur six continents avec un total de 559 années de site. Nous trouvons que le NEE observé aux sites de covariance tourbillonnaire est (1) une fonction forte de la température annuelle moyenne aux latitudes moyennes et élevées, (2) une fonction forte de la sécheresse aux latitudes moyennes et basses, et (3) une fonction à la fois de la température et de la sécheresse autour de la ceinture moyenne-latitudinale (45°N). La sensibilité du NEE à la température annuelle moyenne se décompose à ~ 16 °C (une valeur seuil de la température annuelle moyenne), au-delà de laquelle aucune augmentation supplémentaire de l'absorption de CO2 avec la température n'a été observée et la sécheresse influence les règles de dépassement de l'influence de la température. Comprender las relaciones entre el clima y el intercambio de carbono por parte de los ecosistemas terrestres es fundamental para predecir los niveles futuros de dióxido de carbono en la atmósfera debido a los posibles efectos aceleradores de las retroalimentaciones positivas del ciclo clima-carbono. Sin embargo, faltan relaciones directamente observadas entre el clima y el intercambio terrestre de CO2 con la atmósfera a través de biomas y continentes. Aquí presentamos datos que describen las relaciones entre el intercambio neto de carbono (NEE) del ecosistema y los factores climáticos medidos utilizando el método de covarianza de remolinos en 125 sitios únicos en varios ecosistemas de seis continentes con un total de 559 años-sitio. Encontramos que la NEE observada en los sitios de covarianza de remolinos es (1) una fuerte función de la temperatura media anual en latitudes medias y altas, (2) una fuerte función de sequedad en latitudes medias y bajas, y (3) una función tanto de la temperatura como de la sequedad alrededor del cinturón latitudinal medio (45°N). La sensibilidad de NEE a la temperatura media anual se rompe a ~ 16 °C (un valor umbral de la temperatura media anual), por encima del cual no se observó ningún aumento adicional de la absorción de CO2 con la temperatura y la influencia de la sequedad anula la influencia de la temperatura. Understanding the relationships between climate and carbon exchange by terrestrial ecosystems is critical to predict future levels of atmospheric carbon dioxide because of the potential accelerating effects of positive climate–carbon cycle feedbacks. However, directly observed relationships between climate and terrestrial CO2 exchange with the atmosphere across biomes and continents are lacking. Here we present data describing the relationships between net ecosystem exchange of carbon (NEE) and climate factors as measured using the eddy covariance method at 125 unique sites in various ecosystems over six continents with a total of 559 site-years. We find that NEE observed at eddy covariance sites is (1) a strong function of mean annual temperature at mid- and high-latitudes, (2) a strong function of dryness at mid- and low-latitudes, and (3) a function of both temperature and dryness around the mid-latitudinal belt (45°N). The sensitivity of NEE to mean annual temperature breaks down at ~ 16 °C (a threshold value of mean annual temperature), above which no further increase of CO2 uptake with temperature was observed and dryness influence overrules temperature influence. يعد فهم العلاقات بين المناخ وتبادل الكربون بواسطة النظم الإيكولوجية الأرضية أمرًا بالغ الأهمية للتنبؤ بالمستويات المستقبلية لثاني أكسيد الكربون في الغلاف الجوي بسبب التأثيرات المتسارعة المحتملة للتغذية المرتدة الإيجابية لدورة المناخ والكربون. ومع ذلك، لا توجد علاقات ملحوظة مباشرة بين المناخ والتبادل الأرضي لثاني أكسيد الكربون مع الغلاف الجوي عبر المناطق الحيوية والقارات. نقدم هنا بيانات تصف العلاقات بين صافي تبادل النظام البيئي للكربون (NEE) والعوامل المناخية كما تم قياسها باستخدام طريقة التباين الدوامي في 125 موقعًا فريدًا في أنظمة بيئية مختلفة عبر ست قارات بإجمالي 559 سنة موقع. نجد أن NEE التي لوحظت في مواقع التباين الدوامي هي (1) وظيفة قوية لمتوسط درجة الحرارة السنوية عند خطوط العرض المتوسطة والعالية، (2) وظيفة قوية للجفاف عند خطوط العرض المتوسطة والمنخفضة، و (3) وظيفة لكل من درجة الحرارة والجفاف حول حزام العرض المتوسط (45درجةشمالاً). تنهار حساسية NEE لمتوسط درجة الحرارة السنوية عند حوالي 16 درجة مئوية (قيمة عتبة لمتوسط درجة الحرارة السنوية)، والتي لم يلاحظ فوقها أي زيادة أخرى في امتصاص ثاني أكسيد الكربون مع درجة الحرارة ويتجاوز تأثير الجفاف تأثير درجة الحرارة.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/j5vy4-fwn92&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/j5vy4-fwn92&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2010Publisher:OpenAlex Chuixiang Yi; D. M. Ricciuto; Runze Li; John Wolbeck; Xiyan Xu; Mats Nilsson; Luís Aires; J. D. Albertson; Christof Ammann; M. Altaf Arain; Alessandro Araújo; Marc Aubinet; Mika Aurela; Zoltán Barcza; Alan G. Barr; Paul Berbigier; Jason Beringer; Christian Bernhofer; Andrew Black; Paul V. Bolstad; Fred C. Bosveld; M. S. J. Broadmeadow; Nina Buchmann; Sean P. Burns; Pierre Cellier; Jingming Chen; Jiquan Chen; Philippe Ciais; Robert Clement; Bruce D. Cook; Peter S. Curtis; D. B. Dail; Ebba Dellwik; Nicolas Delpierre; Ankur R. Desai; Sabina Dore; D. Dragoni; Bert G. Drake; Éric Dufrêne; Allison L. Dunn; J.A. Elbers; Werner Eugster; Matthias Falk; Christian Feigenwinter; Lawrence B. Flanagan; Thomas Foken; J. M. Frank; J. Fuhrer; Damiano Gianelle; Allen H. Goldstein; Mike Goulden; André Granier; T. Gruenwald; Lianhong Gu; Haiqiang Guo; Albin Hammerle; Shijie Han; Niall P. Hanan; László Haszpra; Bernard Heinesch; Carole Helfter; Dimmie Hendriks; Lindsay B. Hutley; Andreas Ibrom; C. Jacobs; Torbjoern Johansson; Marjan Jongen; Gabriel G. Katul; Gerard Kiely; Katja Klumpp; Alexander Knohl; Thomas E. Kolb; Werner L. Kutsch; Peter M. Lafleur; Tuomas Laurila; R. Leuning; Anders Lindroth; Heping Li; Benjamin Loubet; Giovanni Manca; Michal V. Marek; Hank A. Margolis; Timothy A. Martin; W. J. Massman; Roser Matamala; Giorgio Matteucci; Harry McCaughey; Lutz Merbold; Tilden Meyers; Mirco Migliavacca; Franco Miglietta; Laurent Misson; Meelis Moelder; John Moncrieff; Russell K. Monson; Leonardo Montagnani; M. Montes-Helu; Eddy Moors; Christine Moureaux; M. M. Mukelabai;Comprendre les relations entre le climat et l'échange de carbone par les écosystèmes terrestres est essentiel pour prédire les niveaux futurs de dioxyde de carbone atmosphérique en raison des effets d'accélération potentiels des rétroactions positives du cycle climat-carbone. Cependant, les relations directement observées entre le climat et l'échange de CO2 terrestre avec l'atmosphère à travers les biomes et les continents font défaut. Nous présentons ici des données décrivant les relations entre l'échange net de carbone par les écosystèmes (NEE) et les facteurs climatiques tels que mesurés à l'aide de la méthode de covariance de Foucault sur 125 sites uniques dans divers écosystèmes sur six continents avec un total de 559 années de site. Nous trouvons que le NEE observé aux sites de covariance tourbillonnaire est (1) une fonction forte de la température annuelle moyenne aux latitudes moyennes et élevées, (2) une fonction forte de la sécheresse aux latitudes moyennes et basses, et (3) une fonction à la fois de la température et de la sécheresse autour de la ceinture moyenne-latitudinale (45°N). La sensibilité du NEE à la température annuelle moyenne se décompose à ~ 16 °C (une valeur seuil de la température annuelle moyenne), au-delà de laquelle aucune augmentation supplémentaire de l'absorption de CO2 avec la température n'a été observée et la sécheresse influence les règles de dépassement de l'influence de la température. Comprender las relaciones entre el clima y el intercambio de carbono por parte de los ecosistemas terrestres es fundamental para predecir los niveles futuros de dióxido de carbono en la atmósfera debido a los posibles efectos aceleradores de las retroalimentaciones positivas del ciclo clima-carbono. Sin embargo, faltan relaciones directamente observadas entre el clima y el intercambio terrestre de CO2 con la atmósfera a través de biomas y continentes. Aquí presentamos datos que describen las relaciones entre el intercambio neto de carbono (NEE) del ecosistema y los factores climáticos medidos utilizando el método de covarianza de remolinos en 125 sitios únicos en varios ecosistemas de seis continentes con un total de 559 años-sitio. Encontramos que la NEE observada en los sitios de covarianza de remolinos es (1) una fuerte función de la temperatura media anual en latitudes medias y altas, (2) una fuerte función de sequedad en latitudes medias y bajas, y (3) una función tanto de la temperatura como de la sequedad alrededor del cinturón latitudinal medio (45°N). La sensibilidad de NEE a la temperatura media anual se rompe a ~ 16 °C (un valor umbral de la temperatura media anual), por encima del cual no se observó ningún aumento adicional de la absorción de CO2 con la temperatura y la influencia de la sequedad anula la influencia de la temperatura. Understanding the relationships between climate and carbon exchange by terrestrial ecosystems is critical to predict future levels of atmospheric carbon dioxide because of the potential accelerating effects of positive climate–carbon cycle feedbacks. However, directly observed relationships between climate and terrestrial CO2 exchange with the atmosphere across biomes and continents are lacking. Here we present data describing the relationships between net ecosystem exchange of carbon (NEE) and climate factors as measured using the eddy covariance method at 125 unique sites in various ecosystems over six continents with a total of 559 site-years. We find that NEE observed at eddy covariance sites is (1) a strong function of mean annual temperature at mid- and high-latitudes, (2) a strong function of dryness at mid- and low-latitudes, and (3) a function of both temperature and dryness around the mid-latitudinal belt (45°N). The sensitivity of NEE to mean annual temperature breaks down at ~ 16 °C (a threshold value of mean annual temperature), above which no further increase of CO2 uptake with temperature was observed and dryness influence overrules temperature influence. يعد فهم العلاقات بين المناخ وتبادل الكربون بواسطة النظم الإيكولوجية الأرضية أمرًا بالغ الأهمية للتنبؤ بالمستويات المستقبلية لثاني أكسيد الكربون في الغلاف الجوي بسبب التأثيرات المتسارعة المحتملة للتغذية المرتدة الإيجابية لدورة المناخ والكربون. ومع ذلك، لا توجد علاقات ملحوظة مباشرة بين المناخ والتبادل الأرضي لثاني أكسيد الكربون مع الغلاف الجوي عبر المناطق الحيوية والقارات. نقدم هنا بيانات تصف العلاقات بين صافي تبادل النظام البيئي للكربون (NEE) والعوامل المناخية كما تم قياسها باستخدام طريقة التباين الدوامي في 125 موقعًا فريدًا في أنظمة بيئية مختلفة عبر ست قارات بإجمالي 559 سنة موقع. نجد أن NEE التي لوحظت في مواقع التباين الدوامي هي (1) وظيفة قوية لمتوسط درجة الحرارة السنوية عند خطوط العرض المتوسطة والعالية، (2) وظيفة قوية للجفاف عند خطوط العرض المتوسطة والمنخفضة، و (3) وظيفة لكل من درجة الحرارة والجفاف حول حزام العرض المتوسط (45درجةشمالاً). تنهار حساسية NEE لمتوسط درجة الحرارة السنوية عند حوالي 16 درجة مئوية (قيمة عتبة لمتوسط درجة الحرارة السنوية)، والتي لم يلاحظ فوقها أي زيادة أخرى في امتصاص ثاني أكسيد الكربون مع درجة الحرارة ويتجاوز تأثير الجفاف تأثير درجة الحرارة.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/j5vy4-fwn92&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/j5vy4-fwn92&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Data Paper 2020Embargo end date: 09 Jul 2020 Germany, Italy, Denmark, Italy, Italy, Australia, Germany, Germany, Belgium, Australia, Italy, Netherlands, Belgium, Italy, Australia, Italy, Russian Federation, Germany, Czech Republic, Germany, Italy, Australia, Netherlands, Australia, Switzerland, Italy, Australia, Germany, Netherlands, Norway, Germany, Australia, Australia, Italy, Finland, Sweden, Czech Republic, France, Spain, Denmark, Netherlands, Finland, United StatesPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:UKRI | RootDetect: Remote Detect...UKRI| RootDetect: Remote Detection and Precision Management of Root HealthAndreas Ibrom; Bruno De Cinti; Jean Marc Ourcival; Vincenzo Magliulo; Onil Bergeron; M. Altaf Arain; Andrew Feitz; Zulia Mayari Sanchez-Mejia; Christof Ammann; Yann Nouvellon; Siyan Ma; Brian D. Amiro; Kim Pilegaard; Eddy Moors; Michele Tomassucci; Asko Noormets; Shawn Urbanski; Damiano Gianelle; Anatoly A. Gitelson; E. Canfora; You Wei Cheah; Ko van Huissteden; Shicheng Jiang; Hans Peter Schmid; Albin Hammerle; Brent E. Ewers; Virginie Moreaux; Housen Chu; Anne Griebel; Timothy J. Arkebauer; Peter Cale; Barbara Marcolla; Alan G. Barr; Alan G. Barr; Scott D. Miller; Lutz Merbold; Ivan Schroder; Joseph Verfaillie; Stefan K. Arndt; Scott R. Saleska; Nicolas Delpierre; Catharine van Ingen; Christine Moureaux; Annalea Lohila; Annalea Lohila; Gabriela Posse; Bernard Heinesch; Pierpaolo Duce; Raimundo Cosme de Oliveira; Kenneth J. Davis; Markus Hehn; Torben R. Christensen; Tilden P. Meyers; Werner L. Kutsch; Lindsay B. Hutley; Üllar Rannik; W.W.P. Jans; Riccardo Valentini; Myroslava Khomik; Myroslava Khomik; Pierre Cellier; Ayumi Kotani; Xiaoqin Dai; Marta Galvagno; Frans-Jan W. Parmentier; Frans-Jan W. Parmentier; Eric Dufrêne; Marius Schmidt; Birger Ulf Hansen; Alessio Collalti; Alessio Collalti; Ivan Shironya; Christian Brümmer; Russell L. Scott; Serge Rambal; Jonas Ardö; Natalia Restrepo-Coupe; Donatella Zona; Elizabeth A. Walter-Shea; Russell K. Monson; Silvano Fares; Sean P. Burns; Sean P. Burns; Mauro Cavagna; Guoyi Zhou; Suzanne M. Prober; Juha Pekka Tuovinen; Georgia R. Koerber; Yuelin Li; Alexander Knohl; Mikhail Mastepanov; Mikhail Mastepanov; Yanhong Tang; Johan Neirynck; Matthew Northwood; Pauline Buysse; Thomas Grünwald; Sabina Dore; N. Pirk; N. Pirk; Hiroki Ikawa; Craig Macfarlane; Jean-Marc Limousin; Carlos Marcelo Di Bella; Leiming Zhang; Juha Hatakka; Margaret S. Torn; Mika Aurela; Bert Gielen; Jiquan Chen; Regine Maier; Karl Schneider; Christian Wille; Nina Buchmann; Daniel Berveiller; Peter D. Blanken; Wayne S. Meyer; Dennis D. Baldocchi; Benjamin Loubet; Giovanni Manca; Hatim Abdalla M. ElKhidir; James Cleverly; Harry McCaughey; Agnès de Grandcourt; Matthias Peichl; Adam J. Liska; Jonathan E. Thom; Christian Bernhofer; Jean Marc Bonnefond; Alexander Graf; Roser Matamala; M. Goeckede; Marian Pavelka; Hank A. Margolis; Eugénie Paul-Limoges; Andrew S. Kowalski; Taro Nakai; Taro Nakai; Marcelo D. Nosetto; Tomomichi Kato; Ray Leuning; Beniamino Gioli; Marc Aubinet; Tuomas Laurila; Andrej Varlagin; Ignacio Goded; David R. Bowling; Nigel J. Tapper; Ana López-Ballesteros; Denis Loustau; Iris Feigenwinter; Uta Moderow; Edoardo Cremonese; Gianluca Filippa; Domenico Vitale; Abdelrahman Elbashandy; Gilberto Pastorello; Ettore D'Andrea; Gil Bohrer; Thomas L. Powell; Serena Marras; Daniela Famulari; Christopher M. Gough; Enrique P. Sánchez-Cañete; Satoru Takanashi; Michael J. Liddell; Jason Brodeur; Marc Fischer; Zoran Nesic; William J. Massman; Janina Klatt; Samuli Launiainen; Anne De Ligne; Leonardo Montagnani; Sebastian Wolf; Rainer Steinbrecher; Yingnian Li; Donatella Spano; A. Ribeca; Rosvel Bracho; Walter C. Oechel; B.R. Reverter; Jiří Dušek; Sebastian Westermann; Rachhpal S. Jassal; Derek Eamus; Claudia Consalvo; Claudia Consalvo; Marty Humphrey; Timo Vesala; Cristina Poindexter; Jeffrey P. Walker; Humberto Ribeiro da Rocha; Paul V. Bolstad; Elise Pendall; Diego Polidori; Peter S. Curtis; Chad Hanson; Francisco Domingo; Jason Beringer;pmid: 32647314
pmc: PMC7347557
AbstractThe FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
CORE arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020License: CC BYFull-Text: https://hdl.handle.net/10568/108878Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2020License: CC BYFull-Text: http://hdl.handle.net/10852/81470Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2020Full-Text: http://hdl.handle.net/10449/64207Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/11343/244534Data sources: Bielefeld Academic Search Engine (BASE)Edith Cowan University (ECU, Australia): Research OnlineArticle . 2020Full-Text: https://ro.ecu.edu.au/ecuworkspost2013/9096Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/2xf0f1djData sources: Bielefeld Academic Search Engine (BASE)The University of Adelaide: Digital LibraryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/2440/129213Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2020Full-Text: https://doi.org/10.1038/s41597-020-0534-3Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAScientific DataArticle . 2020Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2021 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiPublikationenserver der Georg-August-Universität GöttingenArticle . 2021Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenUniversity of Oulu Repository - JultikaArticle . 2020Data sources: University of Oulu Repository - JultikaCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemRepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGöttingen Research Online PublicationsArticle . 2021Data sources: Göttingen Research Online PublicationsGFZ German Research Centre for GeosciencesArticle . 2020License: CC BYData sources: GFZ German Research Centre for GeosciencesWageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsUniversity of Western Sydney (UWS): Research DirectArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Repositorio Institucional Universidad de GranadaArticle . 2020License: CC BYData sources: Repositorio Institucional Universidad de GranadaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-020-0534-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 896 citations 896 popularity Top 0.01% influence Top 1% impulse Top 0.01% Powered by BIP!
more_vert CORE arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020License: CC BYFull-Text: https://hdl.handle.net/10568/108878Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2020License: CC BYFull-Text: http://hdl.handle.net/10852/81470Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2020Full-Text: http://hdl.handle.net/10449/64207Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/11343/244534Data sources: Bielefeld Academic Search Engine (BASE)Edith Cowan University (ECU, Australia): Research OnlineArticle . 2020Full-Text: https://ro.ecu.edu.au/ecuworkspost2013/9096Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/2xf0f1djData sources: Bielefeld Academic Search Engine (BASE)The University of Adelaide: Digital LibraryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/2440/129213Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2020Full-Text: https://doi.org/10.1038/s41597-020-0534-3Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAScientific DataArticle . 2020Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2021 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiPublikationenserver der Georg-August-Universität GöttingenArticle . 2021Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenUniversity of Oulu Repository - JultikaArticle . 2020Data sources: University of Oulu Repository - JultikaCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemRepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGöttingen Research Online PublicationsArticle . 2021Data sources: Göttingen Research Online PublicationsGFZ German Research Centre for GeosciencesArticle . 2020License: CC BYData sources: GFZ German Research Centre for GeosciencesWageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsUniversity of Western Sydney (UWS): Research DirectArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Repositorio Institucional Universidad de GranadaArticle . 2020License: CC BYData sources: Repositorio Institucional Universidad de GranadaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-020-0534-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Data Paper 2020Embargo end date: 09 Jul 2020 Germany, Italy, Denmark, Italy, Italy, Australia, Germany, Germany, Belgium, Australia, Italy, Netherlands, Belgium, Italy, Australia, Italy, Russian Federation, Germany, Czech Republic, Germany, Italy, Australia, Netherlands, Australia, Switzerland, Italy, Australia, Germany, Netherlands, Norway, Germany, Australia, Australia, Italy, Finland, Sweden, Czech Republic, France, Spain, Denmark, Netherlands, Finland, United StatesPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:UKRI | RootDetect: Remote Detect...UKRI| RootDetect: Remote Detection and Precision Management of Root HealthAndreas Ibrom; Bruno De Cinti; Jean Marc Ourcival; Vincenzo Magliulo; Onil Bergeron; M. Altaf Arain; Andrew Feitz; Zulia Mayari Sanchez-Mejia; Christof Ammann; Yann Nouvellon; Siyan Ma; Brian D. Amiro; Kim Pilegaard; Eddy Moors; Michele Tomassucci; Asko Noormets; Shawn Urbanski; Damiano Gianelle; Anatoly A. Gitelson; E. Canfora; You Wei Cheah; Ko van Huissteden; Shicheng Jiang; Hans Peter Schmid; Albin Hammerle; Brent E. Ewers; Virginie Moreaux; Housen Chu; Anne Griebel; Timothy J. Arkebauer; Peter Cale; Barbara Marcolla; Alan G. Barr; Alan G. Barr; Scott D. Miller; Lutz Merbold; Ivan Schroder; Joseph Verfaillie; Stefan K. Arndt; Scott R. Saleska; Nicolas Delpierre; Catharine van Ingen; Christine Moureaux; Annalea Lohila; Annalea Lohila; Gabriela Posse; Bernard Heinesch; Pierpaolo Duce; Raimundo Cosme de Oliveira; Kenneth J. Davis; Markus Hehn; Torben R. Christensen; Tilden P. Meyers; Werner L. Kutsch; Lindsay B. Hutley; Üllar Rannik; W.W.P. Jans; Riccardo Valentini; Myroslava Khomik; Myroslava Khomik; Pierre Cellier; Ayumi Kotani; Xiaoqin Dai; Marta Galvagno; Frans-Jan W. Parmentier; Frans-Jan W. Parmentier; Eric Dufrêne; Marius Schmidt; Birger Ulf Hansen; Alessio Collalti; Alessio Collalti; Ivan Shironya; Christian Brümmer; Russell L. Scott; Serge Rambal; Jonas Ardö; Natalia Restrepo-Coupe; Donatella Zona; Elizabeth A. Walter-Shea; Russell K. Monson; Silvano Fares; Sean P. Burns; Sean P. Burns; Mauro Cavagna; Guoyi Zhou; Suzanne M. Prober; Juha Pekka Tuovinen; Georgia R. Koerber; Yuelin Li; Alexander Knohl; Mikhail Mastepanov; Mikhail Mastepanov; Yanhong Tang; Johan Neirynck; Matthew Northwood; Pauline Buysse; Thomas Grünwald; Sabina Dore; N. Pirk; N. Pirk; Hiroki Ikawa; Craig Macfarlane; Jean-Marc Limousin; Carlos Marcelo Di Bella; Leiming Zhang; Juha Hatakka; Margaret S. Torn; Mika Aurela; Bert Gielen; Jiquan Chen; Regine Maier; Karl Schneider; Christian Wille; Nina Buchmann; Daniel Berveiller; Peter D. Blanken; Wayne S. Meyer; Dennis D. Baldocchi; Benjamin Loubet; Giovanni Manca; Hatim Abdalla M. ElKhidir; James Cleverly; Harry McCaughey; Agnès de Grandcourt; Matthias Peichl; Adam J. Liska; Jonathan E. Thom; Christian Bernhofer; Jean Marc Bonnefond; Alexander Graf; Roser Matamala; M. Goeckede; Marian Pavelka; Hank A. Margolis; Eugénie Paul-Limoges; Andrew S. Kowalski; Taro Nakai; Taro Nakai; Marcelo D. Nosetto; Tomomichi Kato; Ray Leuning; Beniamino Gioli; Marc Aubinet; Tuomas Laurila; Andrej Varlagin; Ignacio Goded; David R. Bowling; Nigel J. Tapper; Ana López-Ballesteros; Denis Loustau; Iris Feigenwinter; Uta Moderow; Edoardo Cremonese; Gianluca Filippa; Domenico Vitale; Abdelrahman Elbashandy; Gilberto Pastorello; Ettore D'Andrea; Gil Bohrer; Thomas L. Powell; Serena Marras; Daniela Famulari; Christopher M. Gough; Enrique P. Sánchez-Cañete; Satoru Takanashi; Michael J. Liddell; Jason Brodeur; Marc Fischer; Zoran Nesic; William J. Massman; Janina Klatt; Samuli Launiainen; Anne De Ligne; Leonardo Montagnani; Sebastian Wolf; Rainer Steinbrecher; Yingnian Li; Donatella Spano; A. Ribeca; Rosvel Bracho; Walter C. Oechel; B.R. Reverter; Jiří Dušek; Sebastian Westermann; Rachhpal S. Jassal; Derek Eamus; Claudia Consalvo; Claudia Consalvo; Marty Humphrey; Timo Vesala; Cristina Poindexter; Jeffrey P. Walker; Humberto Ribeiro da Rocha; Paul V. Bolstad; Elise Pendall; Diego Polidori; Peter S. Curtis; Chad Hanson; Francisco Domingo; Jason Beringer;pmid: 32647314
pmc: PMC7347557
AbstractThe FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
CORE arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020License: CC BYFull-Text: https://hdl.handle.net/10568/108878Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2020License: CC BYFull-Text: http://hdl.handle.net/10852/81470Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2020Full-Text: http://hdl.handle.net/10449/64207Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/11343/244534Data sources: Bielefeld Academic Search Engine (BASE)Edith Cowan University (ECU, Australia): Research OnlineArticle . 2020Full-Text: https://ro.ecu.edu.au/ecuworkspost2013/9096Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/2xf0f1djData sources: Bielefeld Academic Search Engine (BASE)The University of Adelaide: Digital LibraryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/2440/129213Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2020Full-Text: https://doi.org/10.1038/s41597-020-0534-3Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAScientific DataArticle . 2020Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2021 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiPublikationenserver der Georg-August-Universität GöttingenArticle . 2021Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenUniversity of Oulu Repository - JultikaArticle . 2020Data sources: University of Oulu Repository - JultikaCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemRepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGöttingen Research Online PublicationsArticle . 2021Data sources: Göttingen Research Online PublicationsGFZ German Research Centre for GeosciencesArticle . 2020License: CC BYData sources: GFZ German Research Centre for GeosciencesWageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsUniversity of Western Sydney (UWS): Research DirectArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Repositorio Institucional Universidad de GranadaArticle . 2020License: CC BYData sources: Repositorio Institucional Universidad de GranadaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-020-0534-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 896 citations 896 popularity Top 0.01% influence Top 1% impulse Top 0.01% Powered by BIP!
more_vert CORE arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020License: CC BYFull-Text: https://hdl.handle.net/10568/108878Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2020License: CC BYFull-Text: http://hdl.handle.net/10852/81470Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2020Full-Text: http://hdl.handle.net/10449/64207Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/11343/244534Data sources: Bielefeld Academic Search Engine (BASE)Edith Cowan University (ECU, Australia): Research OnlineArticle . 2020Full-Text: https://ro.ecu.edu.au/ecuworkspost2013/9096Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://doi.org/10.6084/m9.figshare.12295910Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/2xf0f1djData sources: Bielefeld Academic Search Engine (BASE)The University of Adelaide: Digital LibraryArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/2440/129213Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2020Full-Text: https://doi.org/10.1038/s41597-020-0534-3Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2020Full-Text: https://hal.science/hal-03778635Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAScientific DataArticle . 2020Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2021 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiPublikationenserver der Georg-August-Universität GöttingenArticle . 2021Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenUniversity of Oulu Repository - JultikaArticle . 2020Data sources: University of Oulu Repository - JultikaCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemRepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGöttingen Research Online PublicationsArticle . 2021Data sources: Göttingen Research Online PublicationsGFZ German Research Centre for GeosciencesArticle . 2020License: CC BYData sources: GFZ German Research Centre for GeosciencesWageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsUniversity of Western Sydney (UWS): Research DirectArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Repositorio Institucional Universidad de GranadaArticle . 2020License: CC BYData sources: Repositorio Institucional Universidad de GranadaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-020-0534-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal , Preprint , Report 2021 France, GermanyPublisher:Copernicus GmbH Funded by:NSF | Collaborative Research: C..., EC | CRESCENDO, NSERC +2 projectsNSF| Collaborative Research: Carbon, Water, and Energy Balance of the Arctic Landscape at Flagship Observatories in Alaska and Siberia ,EC| CRESCENDO ,NSERC ,DFG| Integrated Climate System Analysis and Prediction (CliSAP) ,NSF| Collaborative Research on Carbon, Water, and Energy Balance of the Arctic Landscape at Flagship Observatories in Alaska and SiberiaPhilippe Peylin; Janina Klatt; Christophe Guimbaud; Annalea Lohila; Philippe Ciais; Eugénie S. Euskirchen; Fabrice Jégou; Housen Chu; Natalia Kowalska; Lutz Merbold; Mika Aurela; Vladislav Bastrikov; C. Edgar; Lawrence B. Flanagan; Line Jourdain; Sébastien Gogo; Elodie Salmon; Bogdan H. Chojnicki; Lars Kutzbach; Klaudia Ziemblińska; Dan Zhu; Dan Zhu; M. Syndonia Bret-Harte; Fatima Laggoun-Défarge; Krzysztof Fortuniak; Torsten Sachs; David Holl; Bertrand Guenet; Bertrand Guenet; Olaf Kolle; Włodzimierz Pawlak; Jiquan Chen; Chunjing Qiu;Abstract. In the global methane budget, the largest natural source is attributed to wetlands, which encompass all ecosystems composed of waterlogged or inundated ground, capable of methane production. Among them, northern peatlands that store large amounts of soil organic carbon have been functioning, since the end of the last glaciation period, as long-term sources of methane (CH4) and are one of the most significant methane sources among wetlands. To reduce uncertainty of quantifying methane flux in the global methane budget, it is of significance to understand the underlying processes for methane production and fluxes in northern peatlands. A methane model that features methane production and transport by plants, ebullition process and diffusion in soil, oxidation to CO2, and CH4 fluxes to the atmosphere has been embedded in the ORCHIDEE-PEAT land surface model that includes an explicit representation of northern peatlands. ORCHIDEE-PCH4 was calibrated and evaluated on 14 peatland sites distributed on both the Eurasian and American continents in the northern boreal and temperate regions. Data assimilation approaches were employed to optimized parameters at each site and at all sites simultaneously. Results show that methanogenesis is sensitive to temperature and substrate availability over the top 75 cm of soil depth. Methane emissions estimated using single site optimization (SSO) of model parameters are underestimated by 9 g CH4 m−2 yr−1 on average (i.e., 50 % higher than the site average of yearly methane emissions). While using the multi-site optimization (MSO), methane emissions are overestimated by 5 g CH4 m−2 yr−1 on average across all investigated sites (i.e., 37 % lower than the site average of yearly methane emissions).
GFZpublic (German Re... arrow_drop_down GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitut National de la Recherche Agronomique: ProdINRAReport . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-15-2813-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert GFZpublic (German Re... arrow_drop_down GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitut National de la Recherche Agronomique: ProdINRAReport . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-15-2813-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal , Preprint , Report 2021 France, GermanyPublisher:Copernicus GmbH Funded by:NSF | Collaborative Research: C..., EC | CRESCENDO, NSERC +2 projectsNSF| Collaborative Research: Carbon, Water, and Energy Balance of the Arctic Landscape at Flagship Observatories in Alaska and Siberia ,EC| CRESCENDO ,NSERC ,DFG| Integrated Climate System Analysis and Prediction (CliSAP) ,NSF| Collaborative Research on Carbon, Water, and Energy Balance of the Arctic Landscape at Flagship Observatories in Alaska and SiberiaPhilippe Peylin; Janina Klatt; Christophe Guimbaud; Annalea Lohila; Philippe Ciais; Eugénie S. Euskirchen; Fabrice Jégou; Housen Chu; Natalia Kowalska; Lutz Merbold; Mika Aurela; Vladislav Bastrikov; C. Edgar; Lawrence B. Flanagan; Line Jourdain; Sébastien Gogo; Elodie Salmon; Bogdan H. Chojnicki; Lars Kutzbach; Klaudia Ziemblińska; Dan Zhu; Dan Zhu; M. Syndonia Bret-Harte; Fatima Laggoun-Défarge; Krzysztof Fortuniak; Torsten Sachs; David Holl; Bertrand Guenet; Bertrand Guenet; Olaf Kolle; Włodzimierz Pawlak; Jiquan Chen; Chunjing Qiu;Abstract. In the global methane budget, the largest natural source is attributed to wetlands, which encompass all ecosystems composed of waterlogged or inundated ground, capable of methane production. Among them, northern peatlands that store large amounts of soil organic carbon have been functioning, since the end of the last glaciation period, as long-term sources of methane (CH4) and are one of the most significant methane sources among wetlands. To reduce uncertainty of quantifying methane flux in the global methane budget, it is of significance to understand the underlying processes for methane production and fluxes in northern peatlands. A methane model that features methane production and transport by plants, ebullition process and diffusion in soil, oxidation to CO2, and CH4 fluxes to the atmosphere has been embedded in the ORCHIDEE-PEAT land surface model that includes an explicit representation of northern peatlands. ORCHIDEE-PCH4 was calibrated and evaluated on 14 peatland sites distributed on both the Eurasian and American continents in the northern boreal and temperate regions. Data assimilation approaches were employed to optimized parameters at each site and at all sites simultaneously. Results show that methanogenesis is sensitive to temperature and substrate availability over the top 75 cm of soil depth. Methane emissions estimated using single site optimization (SSO) of model parameters are underestimated by 9 g CH4 m−2 yr−1 on average (i.e., 50 % higher than the site average of yearly methane emissions). While using the multi-site optimization (MSO), methane emissions are overestimated by 5 g CH4 m−2 yr−1 on average across all investigated sites (i.e., 37 % lower than the site average of yearly methane emissions).
GFZpublic (German Re... arrow_drop_down GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitut National de la Recherche Agronomique: ProdINRAReport . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-15-2813-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert GFZpublic (German Re... arrow_drop_down GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Report . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUReport . 2021Full-Text: https://insu.hal.science/insu-03578235Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://insu.hal.science/insu-03656303Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitut National de la Recherche Agronomique: ProdINRAReport . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-15-2813-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 China (People's Republic of), China (People's Republic of), China (People's Republic of), Finland, DenmarkPublisher:IOP Publishing Funded by:NSERC, AKA | Role of upland forest soi..., AKA | Centre of Excellence in A... +3 projectsNSERC ,AKA| Role of upland forest soils in regional methane balance: from catchment to global scales / Consortium: UPFORMET ,AKA| Centre of Excellence in Atmospheric Science From Molecular and Biolocigal processes to The Global Climate ,NSF| LTER: Comparative Study of a Suite of Lakes in Wisconsin ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTURE ,EC| RINGOPavel Alekseychik; Daniel F. Nadeau; Brian D. Amiro; Vyacheslav Zyrianov; Allison L. Dunn; Manuel Helbig; Manuel Helbig; Mats Nilsson; Elena D. Lapshina; Annalea Lohila; Mika Korkiakoski; Mikaell Ottosson Löfvenius; Silvie Harder; Hiroki Ikawa; Christopher Schulze; Timo Vesala; Elyn Humphreys; Matthias Peichl; William L. Quinton; Nigel T. Roulet; Erin M. Nicholls; Anders Lindroth; Andrej Varlagin; Sean K. Carey; Ian B. Strachan; Richard M. Petrone; Eugénie S. Euskirchen; Lars Kutzbach; Oliver Sonnentag; Masahito Ueyama; Juha-Pekka Tuovinen; Michelle Garneau; Hiroki Iwata; Takeshi Ohta; Trofim C. Maximov; Ankur R. Desai; Alan G. Barr; Anatoly S. Prokushkin; Philip Marsh; Lawrence B. Flanagan; Pierre-Erik Isabelle; Paul A. Moore; Juliya Kurbatova; T. Andrew Black; Eeva-Stiina Tuittila; Mika Aurela; Jinshu Chi; Thomas Friborg; Martin Wilmking; Pierre Taillardat; Jiquan Chen; Benjamin R. K. Runkle; Benjamin R. K. Runkle; Rachhpal S. Jassal; Ivan Mammarella; Jessica Turner; James M. Waddington; Michal Heliasz; Achim Grelle;handle: 10138/321067
Peatlands and forests cover large areas of the boreal biome and are critical for global climate regulation. They also regulate regional climate through heat and water vapour exchange with the atmosphere. Understanding how land-atmosphere interactions in peatlands differ from forests may therefore be crucial for modelling boreal climate system dynamics and for assessing climate benefits of peatland conservation and restoration. To assess the biophysical impacts of peatlands and forests on peak growing season air temperature and humidity, we analysed surface energy fluxes and albedo from 35 peatlands and 37 evergreen needleleaf forests—the dominant boreal forest type—and simulated air temperature and vapour pressure deficit (VPD) over hypothetical homogeneous peatland and forest landscapes. We ran an evapotranspiration model using land surface parameters derived from energy flux observations and coupled an analytical solution for the surface energy balance to an atmospheric boundary layer (ABL) model. We found that peatlands, compared to forests, are characterized by higher growing season albedo, lower aerodynamic conductance, and higher surface conductance for an equivalent VPD. This combination of peatland surface properties results in a ∼20% decrease in afternoon ABL height, a cooling (from 1.7 to 2.5 °C) in afternoon air temperatures, and a decrease in afternoon VPD (from 0.4 to 0.7 kPa) for peatland landscapes compared to forest landscapes. These biophysical climate impacts of peatlands are most pronounced at lower latitudes (∼45°N) and decrease toward the northern limit of the boreal biome (∼70°N). Thus, boreal peatlands have the potential to mitigate the effect of regional climate warming during the growing season. The biophysical climate mitigation potential of peatlands needs to be accounted for when projecting the future climate of the boreal biome, when assessing the climate benefits of conserving pristine boreal peatlands, and when restoring peatlands that have experienced peatland drainage and mining.
Environmental Resear... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abab34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 33 citations 33 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Environmental Resear... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abab34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 China (People's Republic of), China (People's Republic of), China (People's Republic of), Finland, DenmarkPublisher:IOP Publishing Funded by:NSERC, AKA | Role of upland forest soi..., AKA | Centre of Excellence in A... +3 projectsNSERC ,AKA| Role of upland forest soils in regional methane balance: from catchment to global scales / Consortium: UPFORMET ,AKA| Centre of Excellence in Atmospheric Science From Molecular and Biolocigal processes to The Global Climate ,NSF| LTER: Comparative Study of a Suite of Lakes in Wisconsin ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTURE ,EC| RINGOPavel Alekseychik; Daniel F. Nadeau; Brian D. Amiro; Vyacheslav Zyrianov; Allison L. Dunn; Manuel Helbig; Manuel Helbig; Mats Nilsson; Elena D. Lapshina; Annalea Lohila; Mika Korkiakoski; Mikaell Ottosson Löfvenius; Silvie Harder; Hiroki Ikawa; Christopher Schulze; Timo Vesala; Elyn Humphreys; Matthias Peichl; William L. Quinton; Nigel T. Roulet; Erin M. Nicholls; Anders Lindroth; Andrej Varlagin; Sean K. Carey; Ian B. Strachan; Richard M. Petrone; Eugénie S. Euskirchen; Lars Kutzbach; Oliver Sonnentag; Masahito Ueyama; Juha-Pekka Tuovinen; Michelle Garneau; Hiroki Iwata; Takeshi Ohta; Trofim C. Maximov; Ankur R. Desai; Alan G. Barr; Anatoly S. Prokushkin; Philip Marsh; Lawrence B. Flanagan; Pierre-Erik Isabelle; Paul A. Moore; Juliya Kurbatova; T. Andrew Black; Eeva-Stiina Tuittila; Mika Aurela; Jinshu Chi; Thomas Friborg; Martin Wilmking; Pierre Taillardat; Jiquan Chen; Benjamin R. K. Runkle; Benjamin R. K. Runkle; Rachhpal S. Jassal; Ivan Mammarella; Jessica Turner; James M. Waddington; Michal Heliasz; Achim Grelle;handle: 10138/321067
Peatlands and forests cover large areas of the boreal biome and are critical for global climate regulation. They also regulate regional climate through heat and water vapour exchange with the atmosphere. Understanding how land-atmosphere interactions in peatlands differ from forests may therefore be crucial for modelling boreal climate system dynamics and for assessing climate benefits of peatland conservation and restoration. To assess the biophysical impacts of peatlands and forests on peak growing season air temperature and humidity, we analysed surface energy fluxes and albedo from 35 peatlands and 37 evergreen needleleaf forests—the dominant boreal forest type—and simulated air temperature and vapour pressure deficit (VPD) over hypothetical homogeneous peatland and forest landscapes. We ran an evapotranspiration model using land surface parameters derived from energy flux observations and coupled an analytical solution for the surface energy balance to an atmospheric boundary layer (ABL) model. We found that peatlands, compared to forests, are characterized by higher growing season albedo, lower aerodynamic conductance, and higher surface conductance for an equivalent VPD. This combination of peatland surface properties results in a ∼20% decrease in afternoon ABL height, a cooling (from 1.7 to 2.5 °C) in afternoon air temperatures, and a decrease in afternoon VPD (from 0.4 to 0.7 kPa) for peatland landscapes compared to forest landscapes. These biophysical climate impacts of peatlands are most pronounced at lower latitudes (∼45°N) and decrease toward the northern limit of the boreal biome (∼70°N). Thus, boreal peatlands have the potential to mitigate the effect of regional climate warming during the growing season. The biophysical climate mitigation potential of peatlands needs to be accounted for when projecting the future climate of the boreal biome, when assessing the climate benefits of conserving pristine boreal peatlands, and when restoring peatlands that have experienced peatland drainage and mining.
Environmental Resear... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abab34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 33 citations 33 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Environmental Resear... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abab34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:NSF Arctic Data Center Authors: Orndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; +45 AuthorsOrndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; Alexander, Heather D.; Humphreys, Elyn R.; Loranty, Michael M.; Ludwig, Sarah M.; Nyman, Johanna; Juutinen, Sari; Aurela, Mika; Mikola, Juha; Mack, Michelle C.; Rose, Melissa; Vankoughnett, Mathew R.; Iversen, Colleen M.; Salmon, Verity G.; Kumar, Jitendra; Yang, Dedi; Grogan, Paul; Danby, Ryan K.; Scott, Neal A.; Olofsson, Johan; Siewert, Matthias B.; Deschamps, Lucas; Lévesque, Esther; Maire, Vincent; Gauthier, Gilles; Boudreau, Stéphane; Gaspard, Anna; Bret-Harte, M. Syndonia; Raynolds, Martha K.; Walker, Donald A.; Michelsen, Anders; Kumpula, Timo; Villoslada, Miguel; Ylänne, Henni; Luoto, Miska; Virtanen, Tarmo; Greaves, Heather E.; Forbes, Bruce C.; Heim, Ramona J.; Hölzel, Norbert; Epstein, Howard; Bunn, Andrew G.; Holmes, Robert Max; Natali, Susan M.; Virkkala, Anna-Maria; Goetz, Scott J.;doi: 10.18739/a2ns0m06b
This dataset provides estimates of live, oven-dried aboveground biomass of all plants (tree, shrub, graminoid, forb, bryophyte) and all woody plants (tree, shrub) at 30-meter resolution across the Arctic tundra biome. Estimates of woody plant dominance are also provided as: (woody plant biomass / plant biomass) * 100. Plant biomass and woody plant biomass were estimated for each pixel (grams per square meter [g / m2]) using field harvest data for calibration/validation along with modeled seasonal surface reflectance data derived using Landsat satellite imagery and the Continuous Change Detection and Classification algorithm, and other supplementary predictors related to topography, region (e.g. bioclimate zone, ecosystem type), land cover, and derivative spectral products. Modeling was performed in a two-stage process using random forest models. First, biomass presence/absence was predicted using probability forests. Then, biomass quantity was predicted using regression forests. The model outputs were combined to produce final biomass estimates. Pixel uncertainty was assessed using Monte Carlo iterations. Field and remote sensing data were permuted during each iteration and the median (50th percentile, p500) predictions for each pixel were considered best estimates. In addition, this dataset provides the lower (2.5th percentile, p025) and upper (97.5th percentile, p975) bounds of a 95% uncertainty interval. Estimates of woody plant dominance are not modeled directly, but rather derived from plant biomass and woody plant biomass best estimates. The Pan Arctic domain includes both the Polar Arctic, defined using bioclimate zone data from the Circumpolar Arctic Vegetation Mapping Project (CAVM; Walker et al., 2005), and the Oro Arctic (treeless alpine tundra at high latitudes outside the Polar Arctic), defined using tundra ecoregions from the RESOLVE ecoregions dataset (Dinerstein et al., 2017) and treeline data from CAVM (CAVM Team, 2003). The mapped products focus on Arctic tundra vegetation biomass, but the coarse delineation of this biome meant some forested areas were included within the study domain. Therefore, this dataset also provides a tree mask product that can be used to mask out areas with canopy height ≥ 5 meters. This mask helps reduce, but does not eliminate entirely, areas of dense tree cover within the domain. Users should be cautious of predictions in forested areas as the models used to predict biomass were not well constrained in these areas. This dataset includes 132 files: 128 cloud-optimized GeoTIFFs, 2 tables in comma-separated values (CSV) format, 1 vector polygon in Shapefile format, and one figure in JPEG format. Raster data is provided in the WGS 84 / North Pole LAEA Bering Sea projection (EPSG:3571) at 30 meter (m) resolution. Raster data are tiled with letters representing rows and numbers representing columns, but note that some tiles do not contain unmasked pixels. We included all tiles nonetheless to maintain consistency. Tiling information can be found in the ‘metadata’ directory as a figure (JPEG) or shapefile.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18739/a2ns0m06b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18739/a2ns0m06b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:NSF Arctic Data Center Authors: Orndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; +45 AuthorsOrndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; Alexander, Heather D.; Humphreys, Elyn R.; Loranty, Michael M.; Ludwig, Sarah M.; Nyman, Johanna; Juutinen, Sari; Aurela, Mika; Mikola, Juha; Mack, Michelle C.; Rose, Melissa; Vankoughnett, Mathew R.; Iversen, Colleen M.; Salmon, Verity G.; Kumar, Jitendra; Yang, Dedi; Grogan, Paul; Danby, Ryan K.; Scott, Neal A.; Olofsson, Johan; Siewert, Matthias B.; Deschamps, Lucas; Lévesque, Esther; Maire, Vincent; Gauthier, Gilles; Boudreau, Stéphane; Gaspard, Anna; Bret-Harte, M. Syndonia; Raynolds, Martha K.; Walker, Donald A.; Michelsen, Anders; Kumpula, Timo; Villoslada, Miguel; Ylänne, Henni; Luoto, Miska; Virtanen, Tarmo; Greaves, Heather E.; Forbes, Bruce C.; Heim, Ramona J.; Hölzel, Norbert; Epstein, Howard; Bunn, Andrew G.; Holmes, Robert Max; Natali, Susan M.; Virkkala, Anna-Maria; Goetz, Scott J.;doi: 10.18739/a2ns0m06b
This dataset provides estimates of live, oven-dried aboveground biomass of all plants (tree, shrub, graminoid, forb, bryophyte) and all woody plants (tree, shrub) at 30-meter resolution across the Arctic tundra biome. Estimates of woody plant dominance are also provided as: (woody plant biomass / plant biomass) * 100. Plant biomass and woody plant biomass were estimated for each pixel (grams per square meter [g / m2]) using field harvest data for calibration/validation along with modeled seasonal surface reflectance data derived using Landsat satellite imagery and the Continuous Change Detection and Classification algorithm, and other supplementary predictors related to topography, region (e.g. bioclimate zone, ecosystem type), land cover, and derivative spectral products. Modeling was performed in a two-stage process using random forest models. First, biomass presence/absence was predicted using probability forests. Then, biomass quantity was predicted using regression forests. The model outputs were combined to produce final biomass estimates. Pixel uncertainty was assessed using Monte Carlo iterations. Field and remote sensing data were permuted during each iteration and the median (50th percentile, p500) predictions for each pixel were considered best estimates. In addition, this dataset provides the lower (2.5th percentile, p025) and upper (97.5th percentile, p975) bounds of a 95% uncertainty interval. Estimates of woody plant dominance are not modeled directly, but rather derived from plant biomass and woody plant biomass best estimates. The Pan Arctic domain includes both the Polar Arctic, defined using bioclimate zone data from the Circumpolar Arctic Vegetation Mapping Project (CAVM; Walker et al., 2005), and the Oro Arctic (treeless alpine tundra at high latitudes outside the Polar Arctic), defined using tundra ecoregions from the RESOLVE ecoregions dataset (Dinerstein et al., 2017) and treeline data from CAVM (CAVM Team, 2003). The mapped products focus on Arctic tundra vegetation biomass, but the coarse delineation of this biome meant some forested areas were included within the study domain. Therefore, this dataset also provides a tree mask product that can be used to mask out areas with canopy height ≥ 5 meters. This mask helps reduce, but does not eliminate entirely, areas of dense tree cover within the domain. Users should be cautious of predictions in forested areas as the models used to predict biomass were not well constrained in these areas. This dataset includes 132 files: 128 cloud-optimized GeoTIFFs, 2 tables in comma-separated values (CSV) format, 1 vector polygon in Shapefile format, and one figure in JPEG format. Raster data is provided in the WGS 84 / North Pole LAEA Bering Sea projection (EPSG:3571) at 30 meter (m) resolution. Raster data are tiled with letters representing rows and numbers representing columns, but note that some tiles do not contain unmasked pixels. We included all tiles nonetheless to maintain consistency. Tiling information can be found in the ‘metadata’ directory as a figure (JPEG) or shapefile.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18739/a2ns0m06b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18739/a2ns0m06b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024 Canada, Canada, Denmark, Finland, SwedenPublisher:Springer Science and Business Media LLC Funded by:NSF | LTER: Changing Disturbanc..., AKA | Towards mechanistic under..., NSERC +5 projectsNSF| LTER: Changing Disturbances, Ecological Legacies, and the Future of the Alaskan Boreal Forest ,AKA| Towards mechanistic understanding of reindeer impacts on wetland carbon balance (ReindeerPaths) ,NSERC ,NSF| Collaborative Research: Vegetation And Ecosystem Impacts On Permafrost Vulnerability ,AKA| Land use as a modulator of land cover transitions and the ecosystem–atmosphere carbon balance (LANDMOD) ,AKA| RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS IN IN NORTHWEST EURASIA (RISES) ,EC| CHARTER ,NSF| NNA Research: Collaborative Research: Fate of the Caribou: from local knowledge to range-wide dynamics in the changing ArcticLogan T. Berner; Kathleen M. Orndahl; Melissa Rose; Mikkel Tamstorf; Marie F. Arndal; Heather D. Alexander; Elyn R. Humphreys; Michael M. Loranty; Sarah M. Ludwig; Johanna Nyman; Sari Juutinen; Mika Aurela; Konsta Happonen; Juha Mikola; Michelle C. Mack; Mathew R. Vankoughnett; Colleen M. Iversen; Verity G. Salmon; Dedi Yang; Jitendra Kumar; Paul Grogan; Ryan K. Danby; Neal A. Scott; Johan Olofsson; Matthias B. Siewert; Lucas Deschamps; Esther Lévesque; Vincent Maire; Amélie Morneault; Gilles Gauthier; Charles Gignac; Stéphane Boudreau; Anna Gaspard; Alexander Kholodov; M. Syndonia Bret-Harte; Heather E. Greaves; Donald Walker; Fiona M. Gregory; Anders Michelsen; Timo Kumpula; Miguel Villoslada; Henni Ylänne; Miska Luoto; Tarmo Virtanen; Bruce C. Forbes; Norbert Hölzel; Howard Epstein; Ramona J. Heim; Andrew Bunn; Robert M. Holmes; Jacqueline K. Y. Hung; Susan M. Natali; Anna-Maria Virkkala; Scott J. Goetz;AbstractPlant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic plant aboveground biomass synthesis dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass (g m−2) on 2,327 sample plots from 636 field sites in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.
Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555088Data sources: Bielefeld Academic Search Engine (BASE)Université du Québec à Trois-Rivières: Dépôt numérique de UQTRArticle . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2024 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemPublikationer från Umeå universitetArticle . 2024 . Peer-reviewedData sources: Publikationer från Umeå universitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-024-03139-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555088Data sources: Bielefeld Academic Search Engine (BASE)Université du Québec à Trois-Rivières: Dépôt numérique de UQTRArticle . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2024 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemPublikationer från Umeå universitetArticle . 2024 . Peer-reviewedData sources: Publikationer från Umeå universitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-024-03139-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024 Canada, Canada, Denmark, Finland, SwedenPublisher:Springer Science and Business Media LLC Funded by:NSF | LTER: Changing Disturbanc..., AKA | Towards mechanistic under..., NSERC +5 projectsNSF| LTER: Changing Disturbances, Ecological Legacies, and the Future of the Alaskan Boreal Forest ,AKA| Towards mechanistic understanding of reindeer impacts on wetland carbon balance (ReindeerPaths) ,NSERC ,NSF| Collaborative Research: Vegetation And Ecosystem Impacts On Permafrost Vulnerability ,AKA| Land use as a modulator of land cover transitions and the ecosystem–atmosphere carbon balance (LANDMOD) ,AKA| RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS IN IN NORTHWEST EURASIA (RISES) ,EC| CHARTER ,NSF| NNA Research: Collaborative Research: Fate of the Caribou: from local knowledge to range-wide dynamics in the changing ArcticLogan T. Berner; Kathleen M. Orndahl; Melissa Rose; Mikkel Tamstorf; Marie F. Arndal; Heather D. Alexander; Elyn R. Humphreys; Michael M. Loranty; Sarah M. Ludwig; Johanna Nyman; Sari Juutinen; Mika Aurela; Konsta Happonen; Juha Mikola; Michelle C. Mack; Mathew R. Vankoughnett; Colleen M. Iversen; Verity G. Salmon; Dedi Yang; Jitendra Kumar; Paul Grogan; Ryan K. Danby; Neal A. Scott; Johan Olofsson; Matthias B. Siewert; Lucas Deschamps; Esther Lévesque; Vincent Maire; Amélie Morneault; Gilles Gauthier; Charles Gignac; Stéphane Boudreau; Anna Gaspard; Alexander Kholodov; M. Syndonia Bret-Harte; Heather E. Greaves; Donald Walker; Fiona M. Gregory; Anders Michelsen; Timo Kumpula; Miguel Villoslada; Henni Ylänne; Miska Luoto; Tarmo Virtanen; Bruce C. Forbes; Norbert Hölzel; Howard Epstein; Ramona J. Heim; Andrew Bunn; Robert M. Holmes; Jacqueline K. Y. Hung; Susan M. Natali; Anna-Maria Virkkala; Scott J. Goetz;AbstractPlant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic plant aboveground biomass synthesis dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass (g m−2) on 2,327 sample plots from 636 field sites in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.
Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555088Data sources: Bielefeld Academic Search Engine (BASE)Université du Québec à Trois-Rivières: Dépôt numérique de UQTRArticle . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2024 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemPublikationer från Umeå universitetArticle . 2024 . Peer-reviewedData sources: Publikationer från Umeå universitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-024-03139-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555088Data sources: Bielefeld Academic Search Engine (BASE)Université du Québec à Trois-Rivières: Dépôt numérique de UQTRArticle . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2024 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemPublikationer från Umeå universitetArticle . 2024 . Peer-reviewedData sources: Publikationer från Umeå universitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-024-03139-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2024Publisher:ICOS ERIC - Carbon Portal ICOS RI; Aalto, Juho; Aalto, Pasi; Aaltonen, Hermanni; Aiguier, Thomas; Akubia, John; Ala-Könni, Joonatan; Alivernini, Alessandro; Aluome, Christelle; Andersson, Tommy; Arca, Angelo; Arriga, Nicola; Aurela, Mika; BRECHET, Laetitia; Baab, Felix; Back, Jaana; Baltes, Uwe; Baneschi, Ilaria; Barten, Sjoerd; Baur, Thomas; Bauters, Marijn; Bazot, Stéphane; Beauclair, Patrick; Becker, Nils; Belelli Marchesini, Luca; Bergström, Gunnar; Bernhofer, Christian; Berveiller, Daniel; Biermann, Tobias; Bignotti, Laura; Biron, Romain; Bloor, Juliette; Bodson, Bernard; Boeckx, Pascal; Bogaerts, Gaëtan; Bonal, Damien; Boon, Geraldine; Bornet, Frédéric; Bortoli, Massimo; Bosio, Isabelle; Brut, Aurore; Brümmer, Christian; Buchmann, Nina; Bulonza, Emmanuel; Burban, Benoit; Buysse, Pauline; Båth, Anders; Calandrelli, Davide; Calvet, Jean-Christophe; Canut-Rocafort, Guylaine; Carrara, Arnaud; Cavagna, Mauro; Ceschia, Eric (ORCID: 0000-0001-5941-752X); Chabbi, Abad; Chan, Tommy; Chebbi, Wafa; Chianucci, Francesco; Chipeaux, Christophe; Chopin, Henri; Christen, Andreas; Chrysoulakis, Nektarios (ORCID: 0000-0002-5208-626X); Claverie, Nicole; Cobbe, Ivo (ORCID: 0000-0001-7898-380X); Cohard, Jean-Martial; Colosse, David; Conte, Adriano; Corsanici, Roberto; Coulaud, Catherine; Courtois, Pascal; Coyle, Mhairi; Cremonese, Edoardo; Crill, Patrick; Cuntz, Matthias; Cuocolo, Donato; Czerný, Radek; DEPUYDT, Jeremie; Daelman, Roxanne; Darenová, Eva; Darsonville, Olivier; De Ligne, Anne; De Meulder, Tim; De Simon, Giuseppe; Decau, Marie-Laure; Dell'Acqua, Alessandro; Delorme, Jean-Pierre; Delpierre, Nicolas; Demoulin, Loïc; Denou, Jean-Luc; Di Tommasi, Paul; Dienstbach, Laura; Dignam, Rowan; Dolfus, Daniel; Domec, Jean-Christophe; Douxfils, Bernard; Drösler, Matthias; Drüe, Clemens; Dufrêne, Eric; Dumont, Benjamin; Durand, Brigitte; Dusek, Jiri; Eberl, Jörg; Eichelmann, Uwe; Ekili, David; Engelmann, Thibaut; Esposito, Andrea; Esser, Odilia; Etienne, Jean-Claude; Etzold, Sophia; Eugster, Werner; Famulari, Daniela; Fares, Silvano; Faurès, Ariane; Fauvel, Yannick; Feigenwinter, Iris; Feldmann, Isabella; Fincham, William; Finco, Angelo; Fischer, Milan; Flechard, Christophe; Foltýnová, Lenka (ORCID: 0000-0001-8202-955X); Foulquier, Arnaud; Friborg, Thomas; Galliot, Jean-Noel; Galvagno, Marta (ORCID: 0000-0002-0827-487X); Garcia Quiros, Inmaculada; Garrigou, Cyriane; Gastal, Francois; Geilfus, Nicolas-Xavier; Gerosa, Giacomo; Gessler, Arthur; Gharun, Mana; Giamberini, Mariasilvia; Gianelle, Damiano; Gibrin, Hervé; Gimper, Sebastian; Goded, Ignacio; Graf, Alexander; Granouillac, Franck; Grehan, Eric; Grenier, Maude; Grudd, Håkan; Grünwald, Thomas; Guillot, Timothé; Hamon, Yannick; Harvey, Duncan; Hatakka, Juha; Haustein, Andreas; Hehn, Markus; Heinesch, Bernard; Helfter, Carole; Heliasz, Michal; Holst, Jutta; Holst, Thomas; Holtmann, Achim; Hug, Christian; Huguet, Christophe; Häni, Mattias; Hörtnagl, Lukas; Ibrom, Andreas (ORCID: 0000-0002-1341-921X); Ilardi, Filippo; Jackowicz-Korczynski, Marcin Antoni; Jacotot, Adrien; Janssens, Ivan; Jensen, Rasmus (ORCID: 0000-0001-8478-644X); Jocher, Georg; Joetzjer, Emilie; Jones, Matthew; Järvi, Leena; Kempf, Jean; Keronen, Petri; Kettler, Martina; Kimbesa, Fabrice; Kivalov, Sergey; Klatt, Janina; Kljun, Natascha; Klosterhalfen, Anne; Klumpp, Katja; Knohl, Alexander; Kogxylakis, Giorgos; Kolari, Pasi; Kolbe, Sven; Korkiakoski, Mika; Korrensalo, Aino; Kowalska, Natalia; Kozii, Nataliia; Krejza, Jan; Kristoffersson, Annika; Kruijt, Bart; Kruszewski, Alain; Kulmala, Liisa; Kumar, Simpal; Kummer, Sirgit; Laakso, Heikki; Lafont, Sebastien; Lange Rønn, Erik; Larmanou, Eric; Laurila, Tuomas; Leeson, Sarah; Lefevre, Lodewijk; Lehner, Irene;This is the 2024-1 release of the ICOS final quality ecosystem data product that includes eddy covariance fluxes, meteorological observations, ancillary and biometric data and full metadata at 73 labelled ICOS stations in the ecosystem domain. The archives contain more detailed description of the different data files contained in the archives. Measurements have been collected using the following instructions: ICOS Ecosystem Instructions for Air Meteorological Measurements (TA, RH, PA, WS, WD), https://doi.org/10.18160/NHEG-4KWW ICOS Ecosystem Instructions for Turbulent Flux Measurements of CO2, Energy and Momentum, https://doi.org/10.18160/QWV4-639G
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3730f562f9e::bca535632607eacc08fc0843bb39bd54&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3730f562f9e::bca535632607eacc08fc0843bb39bd54&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2024Publisher:ICOS ERIC - Carbon Portal ICOS RI; Aalto, Juho; Aalto, Pasi; Aaltonen, Hermanni; Aiguier, Thomas; Akubia, John; Ala-Könni, Joonatan; Alivernini, Alessandro; Aluome, Christelle; Andersson, Tommy; Arca, Angelo; Arriga, Nicola; Aurela, Mika; BRECHET, Laetitia; Baab, Felix; Back, Jaana; Baltes, Uwe; Baneschi, Ilaria; Barten, Sjoerd; Baur, Thomas; Bauters, Marijn; Bazot, Stéphane; Beauclair, Patrick; Becker, Nils; Belelli Marchesini, Luca; Bergström, Gunnar; Bernhofer, Christian; Berveiller, Daniel; Biermann, Tobias; Bignotti, Laura; Biron, Romain; Bloor, Juliette; Bodson, Bernard; Boeckx, Pascal; Bogaerts, Gaëtan; Bonal, Damien; Boon, Geraldine; Bornet, Frédéric; Bortoli, Massimo; Bosio, Isabelle; Brut, Aurore; Brümmer, Christian; Buchmann, Nina; Bulonza, Emmanuel; Burban, Benoit; Buysse, Pauline; Båth, Anders; Calandrelli, Davide; Calvet, Jean-Christophe; Canut-Rocafort, Guylaine; Carrara, Arnaud; Cavagna, Mauro; Ceschia, Eric (ORCID: 0000-0001-5941-752X); Chabbi, Abad; Chan, Tommy; Chebbi, Wafa; Chianucci, Francesco; Chipeaux, Christophe; Chopin, Henri; Christen, Andreas; Chrysoulakis, Nektarios (ORCID: 0000-0002-5208-626X); Claverie, Nicole; Cobbe, Ivo (ORCID: 0000-0001-7898-380X); Cohard, Jean-Martial; Colosse, David; Conte, Adriano; Corsanici, Roberto; Coulaud, Catherine; Courtois, Pascal; Coyle, Mhairi; Cremonese, Edoardo; Crill, Patrick; Cuntz, Matthias; Cuocolo, Donato; Czerný, Radek; DEPUYDT, Jeremie; Daelman, Roxanne; Darenová, Eva; Darsonville, Olivier; De Ligne, Anne; De Meulder, Tim; De Simon, Giuseppe; Decau, Marie-Laure; Dell'Acqua, Alessandro; Delorme, Jean-Pierre; Delpierre, Nicolas; Demoulin, Loïc; Denou, Jean-Luc; Di Tommasi, Paul; Dienstbach, Laura; Dignam, Rowan; Dolfus, Daniel; Domec, Jean-Christophe; Douxfils, Bernard; Drösler, Matthias; Drüe, Clemens; Dufrêne, Eric; Dumont, Benjamin; Durand, Brigitte; Dusek, Jiri; Eberl, Jörg; Eichelmann, Uwe; Ekili, David; Engelmann, Thibaut; Esposito, Andrea; Esser, Odilia; Etienne, Jean-Claude; Etzold, Sophia; Eugster, Werner; Famulari, Daniela; Fares, Silvano; Faurès, Ariane; Fauvel, Yannick; Feigenwinter, Iris; Feldmann, Isabella; Fincham, William; Finco, Angelo; Fischer, Milan; Flechard, Christophe; Foltýnová, Lenka (ORCID: 0000-0001-8202-955X); Foulquier, Arnaud; Friborg, Thomas; Galliot, Jean-Noel; Galvagno, Marta (ORCID: 0000-0002-0827-487X); Garcia Quiros, Inmaculada; Garrigou, Cyriane; Gastal, Francois; Geilfus, Nicolas-Xavier; Gerosa, Giacomo; Gessler, Arthur; Gharun, Mana; Giamberini, Mariasilvia; Gianelle, Damiano; Gibrin, Hervé; Gimper, Sebastian; Goded, Ignacio; Graf, Alexander; Granouillac, Franck; Grehan, Eric; Grenier, Maude; Grudd, Håkan; Grünwald, Thomas; Guillot, Timothé; Hamon, Yannick; Harvey, Duncan; Hatakka, Juha; Haustein, Andreas; Hehn, Markus; Heinesch, Bernard; Helfter, Carole; Heliasz, Michal; Holst, Jutta; Holst, Thomas; Holtmann, Achim; Hug, Christian; Huguet, Christophe; Häni, Mattias; Hörtnagl, Lukas; Ibrom, Andreas (ORCID: 0000-0002-1341-921X); Ilardi, Filippo; Jackowicz-Korczynski, Marcin Antoni; Jacotot, Adrien; Janssens, Ivan; Jensen, Rasmus (ORCID: 0000-0001-8478-644X); Jocher, Georg; Joetzjer, Emilie; Jones, Matthew; Järvi, Leena; Kempf, Jean; Keronen, Petri; Kettler, Martina; Kimbesa, Fabrice; Kivalov, Sergey; Klatt, Janina; Kljun, Natascha; Klosterhalfen, Anne; Klumpp, Katja; Knohl, Alexander; Kogxylakis, Giorgos; Kolari, Pasi; Kolbe, Sven; Korkiakoski, Mika; Korrensalo, Aino; Kowalska, Natalia; Kozii, Nataliia; Krejza, Jan; Kristoffersson, Annika; Kruijt, Bart; Kruszewski, Alain; Kulmala, Liisa; Kumar, Simpal; Kummer, Sirgit; Laakso, Heikki; Lafont, Sebastien; Lange Rønn, Erik; Larmanou, Eric; Laurila, Tuomas; Leeson, Sarah; Lefevre, Lodewijk; Lehner, Irene;This is the 2024-1 release of the ICOS final quality ecosystem data product that includes eddy covariance fluxes, meteorological observations, ancillary and biometric data and full metadata at 73 labelled ICOS stations in the ecosystem domain. The archives contain more detailed description of the different data files contained in the archives. Measurements have been collected using the following instructions: ICOS Ecosystem Instructions for Air Meteorological Measurements (TA, RH, PA, WS, WD), https://doi.org/10.18160/NHEG-4KWW ICOS Ecosystem Instructions for Turbulent Flux Measurements of CO2, Energy and Momentum, https://doi.org/10.18160/QWV4-639G
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3730f562f9e::bca535632607eacc08fc0843bb39bd54&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3730f562f9e::bca535632607eacc08fc0843bb39bd54&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Review 2018 Finland, FrancePublisher:Polish Academy of Sciences Rebmann, Corinna; Aubinet, Marc; Schmid, Hape; Arriga, Nicola; Aurela, Mika; Burba, George; Clément, Robert; de Ligne, Anne; Fratini, Gerardo; Gielen, Bert; Grace, John; Graf, Alexander; Gross, Patrick; Haapanala, Sami; Herbst, Mathias; Hörtnagl, Lukas; Ibrom, Andreas; Joly, Lilian; Kljun, Natascha; Kolle, Olaf; Kowalski, Andrew; Lindroth, Anders; Loustau, Denis; Mammarella, Ivan; Mauder, Matthias; Merbold, Lutz; Metzger, Stefan; Mölder, Meelis; Montagnani, Leonardo; Papale, Dario; Pavelka, Marian; Peichl, Matthias; Roland, Marilyn; Serrano-Ortiz, Penélope; Siebicke, Lukas; Steinbrecher, Rainer; Tuovinen, Juha-Pekka; Vesala, Timo; Wohlfahrt, Georg; Franz, Daniela;handle: 10138/294736
The Integrated Carbon Observation System Re-search Infrastructure aims to provide long-term, continuous observations of sources and sinks of greenhouse gases such as carbon dioxide, methane, nitrous oxide, and water vapour. At ICOS ecosystem stations, the principal technique for measurements of ecosystem-atmosphere exchange of GHGs is the eddy-covariance technique. The establishment and setup of an eddy-covariance tower have to be carefully reasoned to ensure high quality flux measurements being representative of the investigated ecosystem and comparable to measurements at other stations. To fulfill the requirements needed for flux determination with the eddy-covariance technique, variations in GHG concentrations have to be measured at high frequency, simultaneously with the wind velocity, in order to fully capture turbulent fluctuations. This requires the use of high-frequency gas analysers and ultrasonic anemometers. In addition, to analyse flux data with respect to environmental conditions but also to enable corrections in the post-processing procedures, it is necessary to measure additional abiotic variables in close vicinity to the flux measurements. Here we describe the standards the ICOS ecosystem station network has adopted for GHG flux measurements with respect to the setup of instrumentation on towers to maximize measurement precision and accuracy while allowing for flexibility in order to observe specific ecosystem features. Peer reviewed
HELDA - Digital Repo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiReview . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10138/294736&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert HELDA - Digital Repo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiReview . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10138/294736&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Review 2018 Finland, FrancePublisher:Polish Academy of Sciences Rebmann, Corinna; Aubinet, Marc; Schmid, Hape; Arriga, Nicola; Aurela, Mika; Burba, George; Clément, Robert; de Ligne, Anne; Fratini, Gerardo; Gielen, Bert; Grace, John; Graf, Alexander; Gross, Patrick; Haapanala, Sami; Herbst, Mathias; Hörtnagl, Lukas; Ibrom, Andreas; Joly, Lilian; Kljun, Natascha; Kolle, Olaf; Kowalski, Andrew; Lindroth, Anders; Loustau, Denis; Mammarella, Ivan; Mauder, Matthias; Merbold, Lutz; Metzger, Stefan; Mölder, Meelis; Montagnani, Leonardo; Papale, Dario; Pavelka, Marian; Peichl, Matthias; Roland, Marilyn; Serrano-Ortiz, Penélope; Siebicke, Lukas; Steinbrecher, Rainer; Tuovinen, Juha-Pekka; Vesala, Timo; Wohlfahrt, Georg; Franz, Daniela;handle: 10138/294736
The Integrated Carbon Observation System Re-search Infrastructure aims to provide long-term, continuous observations of sources and sinks of greenhouse gases such as carbon dioxide, methane, nitrous oxide, and water vapour. At ICOS ecosystem stations, the principal technique for measurements of ecosystem-atmosphere exchange of GHGs is the eddy-covariance technique. The establishment and setup of an eddy-covariance tower have to be carefully reasoned to ensure high quality flux measurements being representative of the investigated ecosystem and comparable to measurements at other stations. To fulfill the requirements needed for flux determination with the eddy-covariance technique, variations in GHG concentrations have to be measured at high frequency, simultaneously with the wind velocity, in order to fully capture turbulent fluctuations. This requires the use of high-frequency gas analysers and ultrasonic anemometers. In addition, to analyse flux data with respect to environmental conditions but also to enable corrections in the post-processing procedures, it is necessary to measure additional abiotic variables in close vicinity to the flux measurements. Here we describe the standards the ICOS ecosystem station network has adopted for GHG flux measurements with respect to the setup of instrumentation on towers to maximize measurement precision and accuracy while allowing for flexibility in order to observe specific ecosystem features. Peer reviewed
HELDA - Digital Repo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiReview . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10138/294736&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert HELDA - Digital Repo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiReview . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10138/294736&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020 FinlandPublisher:Informa UK Limited Funded by:AKA | Role of upland forest soi..., AKA | Mechanisms, pathways and ..., AKA | Carbon dynamics across Ar... +1 projectsAKA| Role of upland forest soils in regional methane balance: from catchment to global scales / Consortium: UPFORMET ,AKA| Mechanisms, pathways and patchiness of the Arctic ecosystem responses and adaptation to changing climate / Consortium: ClimEco ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTURE ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTUREMargaret Kalacska; Mika Aurela; Tarmo Virtanen; Aleksi Räsänen; Sari Juutinen; Sari Juutinen; Aleksi Rimali; Kari Maenpaa; Pauli Heikkinen;There is fine-scale spatial heterogeneity in key vegetation properties including leaf-area index (LAI) and biomass in treeless northern peatlands, and hyperspectral drone data with high spatial and spectral resolution could detect the spatial patterns with high accuracy. However, the advantage of hyperspectral drone data has not been tested in a multi-source remote sensing approach (i.e. inclusion of multiple different remote sensing datatypes); and overall, sub-meter-level leaf-area index (LAI) and biomass maps have largely been absent. We evaluated the detectability of LAI and biomass patterns at a northern boreal fen (Halssiaapa) in northern Finland with multi-temporal and multi-source remote sensing data and assessed the benefit of hyperspectral drone data. We measured vascular plant percentage cover and height as well as moss cover in 140 field plots and connected the structural information to measured aboveground vascular LAI and biomass and moss biomass with linear regressions. We predicted both total and plant functional type (PFT) specific LAI and biomass patterns with random forests regressions with predictors including RGB and hyperspectral drone (28 bands in a spectral range of 500–900 nm), aerial and satellite imagery as well as topography and vegetation height information derived from structure-from-motion drone photogrammetry and aerial lidar data. The modeling performance was between moderate and good for total LAI and biomass (mean explained variance between 49.8 and 66.5%) and variable for PFTs (0.3–61.6%). Hyperspectral data increased model performance in most of the regressions, usually relatively little, but in some of the regressions, the inclusion of hyperspectral data even decreased model performance (change in mean explained variance between −14.5 and 9.1%-points). The most important features in regressions included drone topography, vegetation height, hyperspectral and RGB features. The spatial patterns and landscape estimates of LAI and biomass were quite similar in regressions with or without hyperspectral data, in particular for moss and total biomass. The results suggest that the fine-scale spatial patterns of peatland LAI and biomass can be detected with multi-source remote sensing data, vegetation mapping should include both spectral and topographic predictors at sub-meter-level spatial resolution and that hyperspectral imagery gives only slight benefits.
GIScience & Remo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/15481603.2020.1829377&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 29 citations 29 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert GIScience & Remo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/15481603.2020.1829377&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020 FinlandPublisher:Informa UK Limited Funded by:AKA | Role of upland forest soi..., AKA | Mechanisms, pathways and ..., AKA | Carbon dynamics across Ar... +1 projectsAKA| Role of upland forest soils in regional methane balance: from catchment to global scales / Consortium: UPFORMET ,AKA| Mechanisms, pathways and patchiness of the Arctic ecosystem responses and adaptation to changing climate / Consortium: ClimEco ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTURE ,AKA| Carbon dynamics across Arctic landscape gradients: past, present and future (CAPTURE) / Consortium: CAPTUREMargaret Kalacska; Mika Aurela; Tarmo Virtanen; Aleksi Räsänen; Sari Juutinen; Sari Juutinen; Aleksi Rimali; Kari Maenpaa; Pauli Heikkinen;There is fine-scale spatial heterogeneity in key vegetation properties including leaf-area index (LAI) and biomass in treeless northern peatlands, and hyperspectral drone data with high spatial and spectral resolution could detect the spatial patterns with high accuracy. However, the advantage of hyperspectral drone data has not been tested in a multi-source remote sensing approach (i.e. inclusion of multiple different remote sensing datatypes); and overall, sub-meter-level leaf-area index (LAI) and biomass maps have largely been absent. We evaluated the detectability of LAI and biomass patterns at a northern boreal fen (Halssiaapa) in northern Finland with multi-temporal and multi-source remote sensing data and assessed the benefit of hyperspectral drone data. We measured vascular plant percentage cover and height as well as moss cover in 140 field plots and connected the structural information to measured aboveground vascular LAI and biomass and moss biomass with linear regressions. We predicted both total and plant functional type (PFT) specific LAI and biomass patterns with random forests regressions with predictors including RGB and hyperspectral drone (28 bands in a spectral range of 500–900 nm), aerial and satellite imagery as well as topography and vegetation height information derived from structure-from-motion drone photogrammetry and aerial lidar data. The modeling performance was between moderate and good for total LAI and biomass (mean explained variance between 49.8 and 66.5%) and variable for PFTs (0.3–61.6%). Hyperspectral data increased model performance in most of the regressions, usually relatively little, but in some of the regressions, the inclusion of hyperspectral data even decreased model performance (change in mean explained variance between −14.5 and 9.1%-points). The most important features in regressions included drone topography, vegetation height, hyperspectral and RGB features. The spatial patterns and landscape estimates of LAI and biomass were quite similar in regressions with or without hyperspectral data, in particular for moss and total biomass. The results suggest that the fine-scale spatial patterns of peatland LAI and biomass can be detected with multi-source remote sensing data, vegetation mapping should include both spectral and topographic predictors at sub-meter-level spatial resolution and that hyperspectral imagery gives only slight benefits.
GIScience & Remo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/15481603.2020.1829377&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 29 citations 29 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert GIScience & Remo... arrow_drop_down HELDA - Digital Repository of the University of HelsinkiArticle . 2020 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/15481603.2020.1829377&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 FinlandPublisher:American Geophysical Union (AGU) Funded by:NSF | BII-Implementation: The E..., NSF | NSF Postdoctoral Fellowsh...NSF| BII-Implementation: The EMERGE Institute: Identifying EMergent Ecosystem Responses through Genes-to-Ecosystems Integration ,NSF| NSF Postdoctoral Fellowship in Biology FY 2021: Integrating microbial dynamics into methane models for northern peatland and post-glacial lakesMcKenzie A. Kuhn; Ruth K. Varner; Carmody K. McCalley; Clarice R. Perryman; Mika Aurela; Sophia A. Burke; Jeffrey P. Chanton; Patrick M. Crill; Jessica DelGreco; Jia Deng; Liam Heffernan; Christina Herrick; Suzanne B. Hodgkins; Cheristy P. Jones; Sari Juutinen; Evan S. Kane; Louis J. Lamit; Tuula Larmola; Erik Lilleskov; David Olefeldt; Michael W. Palace; Virginia I. Rich; Christopher Schulze; Joanne H. Shorter; Franklin B. Sullivan; Oliver Sonnentag; Merritt R. Turetsky; Mark P. Waldrop;doi: 10.1029/2023jg007837
AbstractNorthern peatlands are a globally significant source of methane (CH4), and emissions are projected to increase due to warming and permafrost loss. Understanding the microbial mechanisms behind patterns in CH4 production in peatlands will be key to predicting annual emissions changes, with stable carbon isotopes (δ13C‐CH4) being a powerful tool for characterizing these drivers. Given that δ13C‐CH4 is used in top‐down atmospheric inversion models to partition sources, our ability to model CH4 production pathways and associated δ13C‐CH4 values is critical. We sought to characterize the role of environmental conditions, including hydrologic and vegetation patterns associated with permafrost thaw, on δ13C‐CH4 values from high‐latitude peatlands. We measured porewater and emitted CH4 stable isotopes, pH, and vegetation composition from five boreal‐Arctic peatlands. Porewater δ13C‐CH4 was strongly associated with peatland type, with δ13C enriched values obtained from more minerotrophic fens (−61.2 ± 9.1‰) compared to permafrost‐free bogs (−74.1 ± 9.4‰) and raised permafrost bogs (−81.6 ± 11.5‰). Variation in porewater δ13C‐CH4 was best explained by sedge cover, CH4 concentration, and the interactive effect of peatland type and pH (r2 = 0.50, p < 0.001). Emitted δ13C‐CH4 varied greatly but was positively correlated with porewater δ13C‐CH4. We calculated a mixed atmospheric δ13C‐CH4 value for northern peatlands of −65.3 ± 7‰ and show that this value is more sensitive to landscape drying than wetting under permafrost thaw scenarios. Our results suggest northern peatland δ13C‐CH4 values are likely to shift in the future which has important implications for source partitioning in atmospheric inversion models.
Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555110Data sources: Bielefeld Academic Search Engine (BASE)Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007837&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555110Data sources: Bielefeld Academic Search Engine (BASE)Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007837&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 FinlandPublisher:American Geophysical Union (AGU) Funded by:NSF | BII-Implementation: The E..., NSF | NSF Postdoctoral Fellowsh...NSF| BII-Implementation: The EMERGE Institute: Identifying EMergent Ecosystem Responses through Genes-to-Ecosystems Integration ,NSF| NSF Postdoctoral Fellowship in Biology FY 2021: Integrating microbial dynamics into methane models for northern peatland and post-glacial lakesMcKenzie A. Kuhn; Ruth K. Varner; Carmody K. McCalley; Clarice R. Perryman; Mika Aurela; Sophia A. Burke; Jeffrey P. Chanton; Patrick M. Crill; Jessica DelGreco; Jia Deng; Liam Heffernan; Christina Herrick; Suzanne B. Hodgkins; Cheristy P. Jones; Sari Juutinen; Evan S. Kane; Louis J. Lamit; Tuula Larmola; Erik Lilleskov; David Olefeldt; Michael W. Palace; Virginia I. Rich; Christopher Schulze; Joanne H. Shorter; Franklin B. Sullivan; Oliver Sonnentag; Merritt R. Turetsky; Mark P. Waldrop;doi: 10.1029/2023jg007837
AbstractNorthern peatlands are a globally significant source of methane (CH4), and emissions are projected to increase due to warming and permafrost loss. Understanding the microbial mechanisms behind patterns in CH4 production in peatlands will be key to predicting annual emissions changes, with stable carbon isotopes (δ13C‐CH4) being a powerful tool for characterizing these drivers. Given that δ13C‐CH4 is used in top‐down atmospheric inversion models to partition sources, our ability to model CH4 production pathways and associated δ13C‐CH4 values is critical. We sought to characterize the role of environmental conditions, including hydrologic and vegetation patterns associated with permafrost thaw, on δ13C‐CH4 values from high‐latitude peatlands. We measured porewater and emitted CH4 stable isotopes, pH, and vegetation composition from five boreal‐Arctic peatlands. Porewater δ13C‐CH4 was strongly associated with peatland type, with δ13C enriched values obtained from more minerotrophic fens (−61.2 ± 9.1‰) compared to permafrost‐free bogs (−74.1 ± 9.4‰) and raised permafrost bogs (−81.6 ± 11.5‰). Variation in porewater δ13C‐CH4 was best explained by sedge cover, CH4 concentration, and the interactive effect of peatland type and pH (r2 = 0.50, p < 0.001). Emitted δ13C‐CH4 varied greatly but was positively correlated with porewater δ13C‐CH4. We calculated a mixed atmospheric δ13C‐CH4 value for northern peatlands of −65.3 ± 7‰ and show that this value is more sensitive to landscape drying than wetting under permafrost thaw scenarios. Our results suggest northern peatland δ13C‐CH4 values are likely to shift in the future which has important implications for source partitioning in atmospheric inversion models.
Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555110Data sources: Bielefeld Academic Search Engine (BASE)Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007837&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Natural Resources In... arrow_drop_down Natural Resources Institute Finland: JukuriArticleLicense: CC BYFull-Text: https://jukuri.luke.fi/handle/10024/555110Data sources: Bielefeld Academic Search Engine (BASE)Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2024 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007837&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2010Publisher:OpenAlex Chuixiang Yi; D. M. Ricciuto; Runze Li; John Wolbeck; Xiyan Xu; Mats Nilsson; Luís Aires; J. D. Albertson; Christof Ammann; M. Altaf Arain; Alessandro Araújo; Marc Aubinet; Mika Aurela; Zoltán Barcza; Alan G. Barr; Paul Berbigier; Jason Beringer; Christian Bernhofer; Andrew Black; Paul V. Bolstad; Fred C. Bosveld; M. S. J. Broadmeadow; Nina Buchmann; Sean P. Burns; Pierre Cellier; Jingming Chen; Jiquan Chen; Philippe Ciais; Robert Clement; Bruce D. Cook; Peter S. Curtis; D. B. Dail; Ebba Dellwik; Nicolas Delpierre; Ankur R. Desai; Sabina Dore; D. Dragoni; Bert G. Drake; Éric Dufrêne; Allison L. Dunn; J.A. Elbers; Werner Eugster; Matthias Falk; Christian Feigenwinter; Lawrence B. Flanagan; Thomas Foken; J. M. Frank; J. Fuhrer; Damiano Gianelle; Allen H. Goldstein; Mike Goulden; André Granier; T. Gruenwald; Lianhong Gu; Haiqiang Guo; Albin Hammerle; Shijie Han; Niall P. Hanan; László Haszpra; Bernard Heinesch; Carole Helfter; Dimmie Hendriks; Lindsay B. Hutley; Andreas Ibrom; C. Jacobs; Torbjoern Johansson; Marjan Jongen; Gabriel G. Katul; Gerard Kiely; Katja Klumpp; Alexander Knohl; Thomas E. Kolb; Werner L. Kutsch; Peter M. Lafleur; Tuomas Laurila; R. Leuning; Anders Lindroth; Heping Li; Benjamin Loubet; Giovanni Manca; Michal V. Marek; Hank A. Margolis; Timothy A. Martin; W. J. Massman; Roser Matamala; Giorgio Matteucci; Harry McCaughey; Lutz Merbold; Tilden Meyers; Mirco Migliavacca; Franco Miglietta; Laurent Misson; Meelis Moelder; John Moncrieff; Russell K. Monson; Leonardo Montagnani; M. Montes-Helu; Eddy Moors; Christine Moureaux; M. M. Mukelabai;Comprendre les relations entre le climat et l'échange de carbone par les écosystèmes terrestres est essentiel pour prédire les niveaux futurs de dioxyde de carbone atmosphérique en raison des effets d'accélération potentiels des rétroactions positives du cycle climat-carbone. Cependant, les relations directement observées entre le climat et l'échange de CO2 terrestre avec l'atmosphère à travers les biomes et les continents font défaut. Nous présentons ici des données décrivant les relations entre l'échange net de carbone par les écosystèmes (NEE) et les facteurs climatiques tels que mesurés à l'aide de la méthode de covariance de Foucault sur 125 sites uniques dans divers écosystèmes sur six continents avec un total de 559 années de site. Nous trouvons que le NEE observé aux sites de covariance tourbillonnaire est (1) une fonction forte de la température annuelle moyenne aux latitudes moyennes et élevées, (2) une fonction forte de la sécheresse aux latitudes moyennes et basses, et (3) une fonction à la fois de la température et de la sécheresse autour de la ceinture moyenne-latitudinale (45°N). La sensibilité du NEE à la température annuelle moyenne se décompose à ~ 16 °C (une valeur seuil de la température annuelle moyenne), au-delà de laquelle aucune augmentation supplémentaire de l'absorption de CO2 avec la température n'a été observée et la sécheresse influence les règles de dépassement de l'influence de la température. Comprender las relaciones entre el clima y el intercambio de carbono por parte de los ecosistemas terrestres es fundamental para predecir los niveles futuros de dióxido de carbono en la atmósfera debido a los posibles efectos aceleradores de las retroalimentaciones positivas del ciclo clima-carbono. Sin embargo, faltan relaciones directamente observadas entre el clima y el intercambio terrestre de CO2 con la atmósfera a través de biomas y continentes. Aquí presentamos datos que describen las relaciones entre el intercambio neto de carbono (NEE) del ecosistema y los factores climáticos medidos utilizando el método de covarianza de remolinos en 125 sitios únicos en varios ecosistemas de seis continentes con un total de 559 años-sitio. Encontramos que la NEE observada en los sitios de covarianza de remolinos es (1) una fuerte función de la temperatura media anual en latitudes medias y altas, (2) una fuerte función de sequedad en latitudes medias y bajas, y (3) una función tanto de la temperatura como de la sequedad alrededor del cinturón latitudinal medio (45°N). La sensibilidad de NEE a la temperatura media anual se rompe a ~ 16 °C (un valor umbral de la temperatura media anual), por encima del cual no se observó ningún aumento adicional de la absorción de CO2 con la temperatura y la influencia de la sequedad anula la influencia de la temperatura. Understanding the relationships between climate and carbon exchange by terrestrial ecosystems is critical to predict future levels of atmospheric carbon dioxide because of the potential accelerating effects of positive climate–carbon cycle feedbacks. However, directly observed relationships between climate and terrestrial CO2 exchange with the atmosphere across biomes and continents are lacking. Here we present data describing the relationships between net ecosystem exchange of carbon (NEE) and climate factors as measured using the eddy covariance method at 125 unique sites in various ecosystems over six continents with a total of 559 site-years. We find that NEE observed at eddy covariance sites is (1) a strong function of mean annual temperature at mid- and high-latitudes, (2) a strong function of dryness at mid- and low-latitudes, and (3) a function of both temperature and dryness around the mid-latitudinal belt (45°N). The sensitivity of NEE to mean annual temperature breaks down at ~ 16 °C (a threshold value of mean annual temperature), above which no further increase of CO2 uptake with temperature was observed and dryness influence overrules temperature influence. يعد فهم العلاقات بين المناخ وتبادل الكربون بواسطة النظم الإيكولوجية الأرضية أمرًا بالغ الأهمية للتنبؤ بالمستويات المستقبلية لثاني أكسيد الكربون في الغلاف الجوي بسبب التأثيرات المتسارعة المحتملة للتغذية المرتدة الإيجابية لدورة المناخ والكربون. ومع ذلك، لا توجد علاقات ملحوظة مباشرة بين المناخ والتبادل الأرضي لثاني أكسيد الكربون مع الغلاف الجوي عبر المناطق الحيوية والقارات. نقدم هنا بيانات تصف العلاقات بين صافي تبادل النظام البيئي للكربون (NEE) والعوامل المناخية كما تم قياسها باستخدام طريقة التباين الدوامي في 125 موقعًا فريدًا في أنظمة بيئية مختلفة عبر ست قارات بإجمالي 559 سنة موقع. نجد أن NEE التي لوحظت في مواقع التباين الدوامي هي (1) وظيفة قوية لمتوسط درجة الحرارة السنوية عند خطوط العرض المتوسطة والعالية، (2) وظيفة قوية للجفاف عند خطوط العرض المتوسطة والمنخفضة، و (3) وظيفة لكل من درجة الحرارة والجفاف حول حزام العرض المتوسط (45درجةشمالاً). تنهار حساسية NEE لمتوسط درجة الحرارة السنوية عند حوالي 16 درجة مئوية (قيمة عتبة لمتوسط درجة الحرارة السنوية)، والتي لم يلاحظ فوقها أي زيادة أخرى في امتصاص ثاني أكسيد الكربون مع درجة الحرارة ويتجاوز تأثير الجفاف تأثير درجة الحرارة.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/j5vy4-fwn92&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/j5vy4-fwn92&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2010Publisher:OpenAlex Chuixiang Yi; D. M. Ricciuto; Runze Li; John Wolbeck; Xiyan Xu; Mats Nilsson; Luís Aires; J. D. Albertson; Christof Ammann; M. Altaf Arain; Alessandro Araújo; Marc Aubinet; Mika Aurela; Zoltán Barcza; Alan G. Barr; Paul Berbigier; Jason Beringer; Christian Bernhofer; Andrew Black; Paul V. Bolstad; Fred C. Bosveld; M. S. J. Broadmeadow; Nina Buchmann; Sean P. Burns; Pierre Cellier; Jingming Chen; Jiquan Chen; Philippe Ciais; Robert Clement; Bruce D. Cook; Peter S. Curtis; D. B. Dail; Ebba Dellwik; Nicolas Delpierre; Ankur R. Desai; Sabina Dore; D. Dragoni; Bert G. Drake; Éric Dufrêne; Allison L. Dunn; J.A. Elbers; Werner Eugster; Matthias Falk; Christian Feigenwinter; Lawrence B. Flanagan; Thomas Foken; J. M. Frank; J. Fuhrer; Damiano Gianelle; Allen H. Goldstein; Mike Goulden; André Granier; T. Gruenwald; Lianhong Gu; Haiqiang Guo; Albin Hammerle; Shijie Han; Niall P. Hanan; László Haszpra; Bernard Heinesch; Carole Helfter; Dimmie Hendriks; Lindsay B. Hutley; Andreas Ibrom; C. Jacobs; Torbjoern Johansson; Marjan Jongen; Gabriel G. Katul; Gerard Kiely; Katja Klumpp; Alexander Knohl; Thomas E. Kolb; Werner L. Kutsch; Peter M. Lafleur; Tuomas Laurila; R. Leuning; Anders Lindroth; Heping Li; Benjamin Loubet; Giovanni Manca; Michal V. Marek; Hank A. Margolis; Timothy A. Martin; W. J. Massman; Roser Matamala; Giorgio Matteucci; Harry McCaughey; Lutz Merbold; Tilden Meyers; Mirco Migliavacca; Franco Miglietta; Laurent Misson; Meelis Moelder; John Moncrieff; Russell K. Monson; Leonardo Montagnani; M. Montes-Helu; Eddy Moors; Christine Moureaux; M. M. Mukelabai;Comprendre les relations entre le climat et l'échange de carbone par les écosystèmes terrestres est essentiel pour prédire les niveaux futurs de dioxyde de carbone atmosphérique en raison des effets d'accélération potentiels des rétroactions positives du cycle climat-carbone. Cependant, les relations directement observées entre le climat et l'échange de CO2 terrestre avec l'atmosphère à travers les biomes et les continents font défaut. Nous présentons ici des données décrivant les relations entre l'échange net de carbone par les écosystèmes (NEE) et les facteurs climatiques tels que mesurés à l'aide de la méthode de covariance de Foucault sur 125 sites uniques dans divers écosystèmes sur six continents avec un total de 559 années de site. Nous trouvons que le NEE observé aux sites de covariance tourbillonnaire est (1) une fonction forte de la température annuelle moyenne aux latitudes moyennes et élevées, (2) une fonction forte de la sécheresse aux latitudes moyennes et basses, et (3) une fonction à la fois de la température et de la sécheresse autour de la ceinture moyenne-latitudinale (45°N). La sensibilité du NEE à la température annuelle moyenne se décompose à ~ 16 °C (une valeur seuil de la température annuelle moyenne), au-delà de laquelle aucune augmentation supplémentaire de l'absorption de CO2 avec la température n'a été observée et la sécheresse influence les règles de dépassement de l'influence de la température. Comprender las relaciones entre el clima y el intercambio de carbono por parte de los ecosistemas terrestres es fundamental para predecir los niveles futuros de dióxido de carbono en la atmósfera debido a los posibles efectos aceleradores de las retroalimentaciones positivas del ciclo clima-carbono. Sin embargo, faltan relaciones directamente observadas entre el clima y el intercambio terrestre de CO2 con la atmósfera a través de biomas y continentes. Aquí presentamos datos que describen las relaciones entre el intercambio neto de carbono (NEE) del ecosistema y los factores climáticos medidos utilizando el método de covarianza de remolinos en 125 sitios únicos en varios ecosistemas de seis continentes con un total de 559 años-sitio. Encontramos que la NEE observada en los sitios de covarianza de remolinos es (1) una fuerte función de la temperatura media anual en latitudes medias y altas, (2) una fuerte función de sequedad en latitudes medias y bajas, y (3) una función tanto de la temperatura como de la sequedad alrededor del cinturón latitudinal medio (45°N). La sensibilidad de NEE a la temperatura media anual se rompe a ~ 16 °C (un valor umbral de la temperatura media anual), por encima del cual no se observó ningún aumento adicional de la absorción de CO2 con la temperatura y la influencia de la sequedad anula la influencia de la temperatura. Understanding the relationships between climate and carbon exchange by terrestrial ecosystems is critical to predict future levels of atmospheric carbon dioxide because of the potential accelerating effects of positive climate–carbon cycle feedbacks. However, directly observed relationships between climate and terrestrial CO2 exchange with the atmosphere across biomes and continents are lacking. Here we present data describing the relationships between net ecosystem exchange of carbon (NEE) and climate factors as measured using the eddy covariance method at 125 unique sites in various ecosystems over six continents with a total of 559 site-years. We find that NEE observed at eddy covariance sites is (1) a strong function of mean annual temperature at mid- and high-latitudes, (2) a strong function of dryness at mid- and low-latitudes, and (3) a function of both temperature and dryness around the mid-latitudinal belt (45°N). The sensitivity of NEE to mean annual temperature breaks down at ~ 16 °C (a threshold value of mean annual temperature), above which no further increase of CO2 uptake with temperature was observed and dryness influence overrules temperature influence. يعد فهم العلاقات بين المناخ وتبادل الكربون بواسطة النظم الإيكولوجية الأرضية أمرًا بالغ الأهمية للتنبؤ بالمستويات المستقبلية لثاني أكسيد الكربون في الغلاف الجوي بسبب التأثيرات المتسارعة المحتملة للتغذية المرتدة الإيجابية لدورة المناخ والكربون. ومع ذلك، لا توجد علاقات ملحوظة مباشرة بين المناخ والتبادل الأرضي لثاني أكسيد الكربون مع الغلاف الجوي عبر المناطق الحيوية والقارات. نقدم هنا بيانات تصف العلاقات بين صافي تبادل النظام البيئي للكربون (NEE) والعوامل المناخية كما تم قياسها باستخدام طريقة التباين الدوامي في 125 موقعًا فريدًا في أنظمة بيئية مختلفة عبر ست قارات بإجمالي 559 سنة موقع. نجد أن NEE التي لوحظت في مواقع التباين الدوامي هي (1) وظيفة قوية لمتوسط درجة الحرارة السنوية عند خطوط العرض المتوسطة والعالية، (2) وظيفة قوية للجفاف عند خطوط العرض المتوسطة والمنخفضة، و (3) وظيفة لكل من درجة الحرارة والجفاف حول حزام العرض المتوسط (45درجةشمالاً). تنهار حساسية NEE لمتوسط درجة الحرارة السنوية عند حوالي 16 درجة مئوية (قيمة عتبة لمتوسط درجة الحرارة السنوية)، والتي لم يلاحظ فوقها أي زيادة أخرى في امتصاص ثاني أكسيد الكربون مع درجة الحرارة ويتجاوز تأثير الجفاف تأثير درجة الحرارة.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/j5vy4-fwn92&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.60692/j5vy4-fwn92&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu