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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.
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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.
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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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Wiley Funded by:NSERCNSERCCraig A. Emmerton; Vincent L. St. Louis; Elyn R. Humphreys; John A. Gamon; Joel D. Barker; Gilberto Z. Pastorello;doi: 10.1111/gcb.13064
pmid: 26279166
AbstractHigh Arctic landscapes are expansive and changing rapidly. However, our understanding of their functional responses and potential to mitigate or enhance anthropogenic climate change is limited by few measurements. We collected eddy covariance measurements to quantify the net ecosystem exchange (NEE) of CO2 with polar semidesert and meadow wetland landscapes at the highest latitude location measured to date (82°N). We coupled these rare data with ground and satellite vegetation production measurements (Normalized Difference Vegetation Index; NDVI) to evaluate the effectiveness of upscaling local to regional NEE. During the growing season, the dry polar semidesert landscape was a near‐zero sink of atmospheric CO2 (NEE: −0.3 ± 13.5 g C m−2). A nearby meadow wetland accumulated over 300 times more carbon (NEE: −79.3 ± 20.0 g C m−2) than the polar semidesert landscape, and was similar to meadow wetland NEE at much more southerly latitudes. Polar semidesert NEE was most influenced by moisture, with wetter surface soils resulting in greater soil respiration and CO2 emissions. At the meadow wetland, soil heating enhanced plant growth, which in turn increased CO2 uptake. Our upscaling assessment found that polar semidesert NDVI measured on‐site was low (mean: 0.120–0.157) and similar to satellite measurements (mean: 0.155–0.163). However, weak plant growth resulted in poor satellite NDVI–NEE relationships and created challenges for remotely detecting changes in the cycling of carbon on the polar semidesert landscape. The meadow wetland appeared more suitable to assess plant production and NEE via remote sensing; however, high Arctic wetland extent is constrained by topography to small areas that may be difficult to resolve with large satellite pixels. We predict that until summer precipitation and humidity increases enough to offset poor soil moisture retention, climate‐related changes to productivity on polar semideserts may be restricted.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2015 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd 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=10.1111/gcb.13064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu33 citations 33 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2015 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd 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=10.1111/gcb.13064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Wiley Funded by:NSERCNSERCCraig A. Emmerton; Vincent L. St. Louis; Elyn R. Humphreys; John A. Gamon; Joel D. Barker; Gilberto Z. Pastorello;doi: 10.1111/gcb.13064
pmid: 26279166
AbstractHigh Arctic landscapes are expansive and changing rapidly. However, our understanding of their functional responses and potential to mitigate or enhance anthropogenic climate change is limited by few measurements. We collected eddy covariance measurements to quantify the net ecosystem exchange (NEE) of CO2 with polar semidesert and meadow wetland landscapes at the highest latitude location measured to date (82°N). We coupled these rare data with ground and satellite vegetation production measurements (Normalized Difference Vegetation Index; NDVI) to evaluate the effectiveness of upscaling local to regional NEE. During the growing season, the dry polar semidesert landscape was a near‐zero sink of atmospheric CO2 (NEE: −0.3 ± 13.5 g C m−2). A nearby meadow wetland accumulated over 300 times more carbon (NEE: −79.3 ± 20.0 g C m−2) than the polar semidesert landscape, and was similar to meadow wetland NEE at much more southerly latitudes. Polar semidesert NEE was most influenced by moisture, with wetter surface soils resulting in greater soil respiration and CO2 emissions. At the meadow wetland, soil heating enhanced plant growth, which in turn increased CO2 uptake. Our upscaling assessment found that polar semidesert NDVI measured on‐site was low (mean: 0.120–0.157) and similar to satellite measurements (mean: 0.155–0.163). However, weak plant growth resulted in poor satellite NDVI–NEE relationships and created challenges for remotely detecting changes in the cycling of carbon on the polar semidesert landscape. The meadow wetland appeared more suitable to assess plant production and NEE via remote sensing; however, high Arctic wetland extent is constrained by topography to small areas that may be difficult to resolve with large satellite pixels. We predict that until summer precipitation and humidity increases enough to offset poor soil moisture retention, climate‐related changes to productivity on polar semideserts may be restricted.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2015 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd 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=10.1111/gcb.13064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu33 citations 33 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2015 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd 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=10.1111/gcb.13064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2016 United States, Italy, ItalyPublisher:MDPI AG Funded by:NSERCNSERCRan Wang; John Gamon; Craig Emmerton; Haitao Li; Enrica Nestola; Gilberto Pastorello; Olaf Menzer;doi: 10.3390/rs8030214
handle: 20.500.14243/440771
Grasslands play important roles in ecosystem production and support a large farming and grazing industry. An accurate and efficient way is needed to estimate grassland health and production for monitoring and adjusting management to get sustainable products and other ecosystem services. Previous studies of grasslands have shown varying relationships between productivity and biodiversity, with most showing either a positive or a hump-shaped relationship where productivity peaks at intermediate diversity. In this study, we used airborne imaging spectrometry combined with ground sampling and eddy covariance measurements to estimate the spatial pattern of production and biodiversity for two sites of contrasting productivity in a southern Alberta prairie ecosystem. Resulting patterns revealed that more diverse sites generally had greater productivity, supporting the hypothesis of a positive relationship between production and biodiversity for this site. We showed that the addition of evenness to richness (using the Shannon Index of dominant species instead of the number of dominant species alone) improved the correlation with optical diversity, an optically derived metric of biodiversity based on the coefficient of variation in spectral reflectance across space. Similarly, the Shannon Index was better correlated with productivity (estimated via NDVI (Normalized Difference Vegetation Index)) than the number of dominant species alone. Optical diversity provided a potent proxy for other more traditional biodiversity metrics (richness and Shannon index). Coupling field measurements and imaging spectrometry provides a method for assessing grassland productivity and biodiversity at a larger scale than can be sampled from the ground, and allows the integrated analysis of the productivity–biodiversity relationship over large areas.
Remote Sensing arrow_drop_down Remote SensingOther literature type . 2016License: CC BYFull-Text: http://www.mdpi.com/2072-4292/8/3/214/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/2cd2r8bqData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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=10.3390/rs8030214&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 49 citations 49 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Remote Sensing arrow_drop_down Remote SensingOther literature type . 2016License: CC BYFull-Text: http://www.mdpi.com/2072-4292/8/3/214/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/2cd2r8bqData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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=10.3390/rs8030214&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2016 United States, Italy, ItalyPublisher:MDPI AG Funded by:NSERCNSERCRan Wang; John Gamon; Craig Emmerton; Haitao Li; Enrica Nestola; Gilberto Pastorello; Olaf Menzer;doi: 10.3390/rs8030214
handle: 20.500.14243/440771
Grasslands play important roles in ecosystem production and support a large farming and grazing industry. An accurate and efficient way is needed to estimate grassland health and production for monitoring and adjusting management to get sustainable products and other ecosystem services. Previous studies of grasslands have shown varying relationships between productivity and biodiversity, with most showing either a positive or a hump-shaped relationship where productivity peaks at intermediate diversity. In this study, we used airborne imaging spectrometry combined with ground sampling and eddy covariance measurements to estimate the spatial pattern of production and biodiversity for two sites of contrasting productivity in a southern Alberta prairie ecosystem. Resulting patterns revealed that more diverse sites generally had greater productivity, supporting the hypothesis of a positive relationship between production and biodiversity for this site. We showed that the addition of evenness to richness (using the Shannon Index of dominant species instead of the number of dominant species alone) improved the correlation with optical diversity, an optically derived metric of biodiversity based on the coefficient of variation in spectral reflectance across space. Similarly, the Shannon Index was better correlated with productivity (estimated via NDVI (Normalized Difference Vegetation Index)) than the number of dominant species alone. Optical diversity provided a potent proxy for other more traditional biodiversity metrics (richness and Shannon index). Coupling field measurements and imaging spectrometry provides a method for assessing grassland productivity and biodiversity at a larger scale than can be sampled from the ground, and allows the integrated analysis of the productivity–biodiversity relationship over large areas.
Remote Sensing arrow_drop_down Remote SensingOther literature type . 2016License: CC BYFull-Text: http://www.mdpi.com/2072-4292/8/3/214/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/2cd2r8bqData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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=10.3390/rs8030214&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 49 citations 49 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Remote Sensing arrow_drop_down Remote SensingOther literature type . 2016License: CC BYFull-Text: http://www.mdpi.com/2072-4292/8/3/214/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/2cd2r8bqData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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=10.3390/rs8030214&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 United StatesPublisher:Wiley Funded by:NSERCNSERCBing Xu; M. Altaf Arain; T. Andrew Black; Beverly E. Law; Gilberto Z. Pastorello; Housen Chu;doi: 10.1111/gcb.14843
pmid: 31529736
AbstractClimate extremes such as heat waves and droughts are projected to occur more frequently with increasing temperature and an intensified hydrological cycle. It is important to understand and quantify how forest carbon fluxes respond to heat and drought stress. In this study, we developed a series of daily indices of sensitivity to heat and drought stress as indicated by air temperature (Ta) and evaporative fraction (EF). Using normalized daily carbon fluxes from the FLUXNET Network for 34 forest sites in North America, the seasonal pattern of sensitivities of net ecosystem productivity (NEP), gross ecosystem productivity (GEP) and ecosystem respiration (RE) in response toTaand EF anomalies were compared for different forest types. The results showed that warm temperatures in spring had a positive effect on NEP in conifer forests but a negative impact in deciduous forests. GEP in conifer forests increased with higher temperature anomalies in spring but decreased in summer. The drought‐induced decrease in NEP, which mostly occurred in the deciduous forests, was mostly driven by the reduction in GEP. In conifer forests, drought had a similar dampening effect on both GEP and RE, therefore leading to a neutral NEP response. The NEP sensitivity toTaanomalies increased with increasing mean annual temperature. Drier sites were less sensitive to drought stress in summer. Natural forests with older stand age tended to be more resilient to the climate stresses compared to managed younger forests. The results of the Classification and Regression Tree analysis showed that seasons and ecosystem productivity were the most powerful variables in explaining the variation of forest sensitivity to heat and drought stress. Our results implied that the magnitude and direction of carbon flux changes in response to climate extremes are highly dependent on the seasonal dynamics of forests and the timing of the climate extremes.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/1ns1q6xkData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd 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=10.1111/gcb.14843&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 72 citations 72 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/1ns1q6xkData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd 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=10.1111/gcb.14843&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 United StatesPublisher:Wiley Funded by:NSERCNSERCBing Xu; M. Altaf Arain; T. Andrew Black; Beverly E. Law; Gilberto Z. Pastorello; Housen Chu;doi: 10.1111/gcb.14843
pmid: 31529736
AbstractClimate extremes such as heat waves and droughts are projected to occur more frequently with increasing temperature and an intensified hydrological cycle. It is important to understand and quantify how forest carbon fluxes respond to heat and drought stress. In this study, we developed a series of daily indices of sensitivity to heat and drought stress as indicated by air temperature (Ta) and evaporative fraction (EF). Using normalized daily carbon fluxes from the FLUXNET Network for 34 forest sites in North America, the seasonal pattern of sensitivities of net ecosystem productivity (NEP), gross ecosystem productivity (GEP) and ecosystem respiration (RE) in response toTaand EF anomalies were compared for different forest types. The results showed that warm temperatures in spring had a positive effect on NEP in conifer forests but a negative impact in deciduous forests. GEP in conifer forests increased with higher temperature anomalies in spring but decreased in summer. The drought‐induced decrease in NEP, which mostly occurred in the deciduous forests, was mostly driven by the reduction in GEP. In conifer forests, drought had a similar dampening effect on both GEP and RE, therefore leading to a neutral NEP response. The NEP sensitivity toTaanomalies increased with increasing mean annual temperature. Drier sites were less sensitive to drought stress in summer. Natural forests with older stand age tended to be more resilient to the climate stresses compared to managed younger forests. The results of the Classification and Regression Tree analysis showed that seasons and ecosystem productivity were the most powerful variables in explaining the variation of forest sensitivity to heat and drought stress. Our results implied that the magnitude and direction of carbon flux changes in response to climate extremes are highly dependent on the seasonal dynamics of forests and the timing of the climate extremes.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/1ns1q6xkData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd 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=10.1111/gcb.14843&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 72 citations 72 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/1ns1q6xkData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd 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.
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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.
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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.
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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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Wiley Funded by:NSERCNSERCCraig A. Emmerton; Vincent L. St. Louis; Elyn R. Humphreys; John A. Gamon; Joel D. Barker; Gilberto Z. Pastorello;doi: 10.1111/gcb.13064
pmid: 26279166
AbstractHigh Arctic landscapes are expansive and changing rapidly. However, our understanding of their functional responses and potential to mitigate or enhance anthropogenic climate change is limited by few measurements. We collected eddy covariance measurements to quantify the net ecosystem exchange (NEE) of CO2 with polar semidesert and meadow wetland landscapes at the highest latitude location measured to date (82°N). We coupled these rare data with ground and satellite vegetation production measurements (Normalized Difference Vegetation Index; NDVI) to evaluate the effectiveness of upscaling local to regional NEE. During the growing season, the dry polar semidesert landscape was a near‐zero sink of atmospheric CO2 (NEE: −0.3 ± 13.5 g C m−2). A nearby meadow wetland accumulated over 300 times more carbon (NEE: −79.3 ± 20.0 g C m−2) than the polar semidesert landscape, and was similar to meadow wetland NEE at much more southerly latitudes. Polar semidesert NEE was most influenced by moisture, with wetter surface soils resulting in greater soil respiration and CO2 emissions. At the meadow wetland, soil heating enhanced plant growth, which in turn increased CO2 uptake. Our upscaling assessment found that polar semidesert NDVI measured on‐site was low (mean: 0.120–0.157) and similar to satellite measurements (mean: 0.155–0.163). However, weak plant growth resulted in poor satellite NDVI–NEE relationships and created challenges for remotely detecting changes in the cycling of carbon on the polar semidesert landscape. The meadow wetland appeared more suitable to assess plant production and NEE via remote sensing; however, high Arctic wetland extent is constrained by topography to small areas that may be difficult to resolve with large satellite pixels. We predict that until summer precipitation and humidity increases enough to offset poor soil moisture retention, climate‐related changes to productivity on polar semideserts may be restricted.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2015 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd 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=10.1111/gcb.13064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu33 citations 33 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2015 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd 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=10.1111/gcb.13064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Wiley Funded by:NSERCNSERCCraig A. Emmerton; Vincent L. St. Louis; Elyn R. Humphreys; John A. Gamon; Joel D. Barker; Gilberto Z. Pastorello;doi: 10.1111/gcb.13064
pmid: 26279166
AbstractHigh Arctic landscapes are expansive and changing rapidly. However, our understanding of their functional responses and potential to mitigate or enhance anthropogenic climate change is limited by few measurements. We collected eddy covariance measurements to quantify the net ecosystem exchange (NEE) of CO2 with polar semidesert and meadow wetland landscapes at the highest latitude location measured to date (82°N). We coupled these rare data with ground and satellite vegetation production measurements (Normalized Difference Vegetation Index; NDVI) to evaluate the effectiveness of upscaling local to regional NEE. During the growing season, the dry polar semidesert landscape was a near‐zero sink of atmospheric CO2 (NEE: −0.3 ± 13.5 g C m−2). A nearby meadow wetland accumulated over 300 times more carbon (NEE: −79.3 ± 20.0 g C m−2) than the polar semidesert landscape, and was similar to meadow wetland NEE at much more southerly latitudes. Polar semidesert NEE was most influenced by moisture, with wetter surface soils resulting in greater soil respiration and CO2 emissions. At the meadow wetland, soil heating enhanced plant growth, which in turn increased CO2 uptake. Our upscaling assessment found that polar semidesert NDVI measured on‐site was low (mean: 0.120–0.157) and similar to satellite measurements (mean: 0.155–0.163). However, weak plant growth resulted in poor satellite NDVI–NEE relationships and created challenges for remotely detecting changes in the cycling of carbon on the polar semidesert landscape. The meadow wetland appeared more suitable to assess plant production and NEE via remote sensing; however, high Arctic wetland extent is constrained by topography to small areas that may be difficult to resolve with large satellite pixels. We predict that until summer precipitation and humidity increases enough to offset poor soil moisture retention, climate‐related changes to productivity on polar semideserts may be restricted.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2015 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd 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=10.1111/gcb.13064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu33 citations 33 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2015 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd 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=10.1111/gcb.13064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2016 United States, Italy, ItalyPublisher:MDPI AG Funded by:NSERCNSERCRan Wang; John Gamon; Craig Emmerton; Haitao Li; Enrica Nestola; Gilberto Pastorello; Olaf Menzer;doi: 10.3390/rs8030214
handle: 20.500.14243/440771
Grasslands play important roles in ecosystem production and support a large farming and grazing industry. An accurate and efficient way is needed to estimate grassland health and production for monitoring and adjusting management to get sustainable products and other ecosystem services. Previous studies of grasslands have shown varying relationships between productivity and biodiversity, with most showing either a positive or a hump-shaped relationship where productivity peaks at intermediate diversity. In this study, we used airborne imaging spectrometry combined with ground sampling and eddy covariance measurements to estimate the spatial pattern of production and biodiversity for two sites of contrasting productivity in a southern Alberta prairie ecosystem. Resulting patterns revealed that more diverse sites generally had greater productivity, supporting the hypothesis of a positive relationship between production and biodiversity for this site. We showed that the addition of evenness to richness (using the Shannon Index of dominant species instead of the number of dominant species alone) improved the correlation with optical diversity, an optically derived metric of biodiversity based on the coefficient of variation in spectral reflectance across space. Similarly, the Shannon Index was better correlated with productivity (estimated via NDVI (Normalized Difference Vegetation Index)) than the number of dominant species alone. Optical diversity provided a potent proxy for other more traditional biodiversity metrics (richness and Shannon index). Coupling field measurements and imaging spectrometry provides a method for assessing grassland productivity and biodiversity at a larger scale than can be sampled from the ground, and allows the integrated analysis of the productivity–biodiversity relationship over large areas.
Remote Sensing arrow_drop_down Remote SensingOther literature type . 2016License: CC BYFull-Text: http://www.mdpi.com/2072-4292/8/3/214/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/2cd2r8bqData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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=10.3390/rs8030214&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 49 citations 49 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Remote Sensing arrow_drop_down Remote SensingOther literature type . 2016License: CC BYFull-Text: http://www.mdpi.com/2072-4292/8/3/214/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/2cd2r8bqData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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=10.3390/rs8030214&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2016 United States, Italy, ItalyPublisher:MDPI AG Funded by:NSERCNSERCRan Wang; John Gamon; Craig Emmerton; Haitao Li; Enrica Nestola; Gilberto Pastorello; Olaf Menzer;doi: 10.3390/rs8030214
handle: 20.500.14243/440771
Grasslands play important roles in ecosystem production and support a large farming and grazing industry. An accurate and efficient way is needed to estimate grassland health and production for monitoring and adjusting management to get sustainable products and other ecosystem services. Previous studies of grasslands have shown varying relationships between productivity and biodiversity, with most showing either a positive or a hump-shaped relationship where productivity peaks at intermediate diversity. In this study, we used airborne imaging spectrometry combined with ground sampling and eddy covariance measurements to estimate the spatial pattern of production and biodiversity for two sites of contrasting productivity in a southern Alberta prairie ecosystem. Resulting patterns revealed that more diverse sites generally had greater productivity, supporting the hypothesis of a positive relationship between production and biodiversity for this site. We showed that the addition of evenness to richness (using the Shannon Index of dominant species instead of the number of dominant species alone) improved the correlation with optical diversity, an optically derived metric of biodiversity based on the coefficient of variation in spectral reflectance across space. Similarly, the Shannon Index was better correlated with productivity (estimated via NDVI (Normalized Difference Vegetation Index)) than the number of dominant species alone. Optical diversity provided a potent proxy for other more traditional biodiversity metrics (richness and Shannon index). Coupling field measurements and imaging spectrometry provides a method for assessing grassland productivity and biodiversity at a larger scale than can be sampled from the ground, and allows the integrated analysis of the productivity–biodiversity relationship over large areas.
Remote Sensing arrow_drop_down Remote SensingOther literature type . 2016License: CC BYFull-Text: http://www.mdpi.com/2072-4292/8/3/214/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/2cd2r8bqData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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=10.3390/rs8030214&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 49 citations 49 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Remote Sensing arrow_drop_down Remote SensingOther literature type . 2016License: CC BYFull-Text: http://www.mdpi.com/2072-4292/8/3/214/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2016Full-Text: https://escholarship.org/uc/item/2cd2r8bqData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of Californiaadd 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=10.3390/rs8030214&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 United StatesPublisher:Wiley Funded by:NSERCNSERCBing Xu; M. Altaf Arain; T. Andrew Black; Beverly E. Law; Gilberto Z. Pastorello; Housen Chu;doi: 10.1111/gcb.14843
pmid: 31529736
AbstractClimate extremes such as heat waves and droughts are projected to occur more frequently with increasing temperature and an intensified hydrological cycle. It is important to understand and quantify how forest carbon fluxes respond to heat and drought stress. In this study, we developed a series of daily indices of sensitivity to heat and drought stress as indicated by air temperature (Ta) and evaporative fraction (EF). Using normalized daily carbon fluxes from the FLUXNET Network for 34 forest sites in North America, the seasonal pattern of sensitivities of net ecosystem productivity (NEP), gross ecosystem productivity (GEP) and ecosystem respiration (RE) in response toTaand EF anomalies were compared for different forest types. The results showed that warm temperatures in spring had a positive effect on NEP in conifer forests but a negative impact in deciduous forests. GEP in conifer forests increased with higher temperature anomalies in spring but decreased in summer. The drought‐induced decrease in NEP, which mostly occurred in the deciduous forests, was mostly driven by the reduction in GEP. In conifer forests, drought had a similar dampening effect on both GEP and RE, therefore leading to a neutral NEP response. The NEP sensitivity toTaanomalies increased with increasing mean annual temperature. Drier sites were less sensitive to drought stress in summer. Natural forests with older stand age tended to be more resilient to the climate stresses compared to managed younger forests. The results of the Classification and Regression Tree analysis showed that seasons and ecosystem productivity were the most powerful variables in explaining the variation of forest sensitivity to heat and drought stress. Our results implied that the magnitude and direction of carbon flux changes in response to climate extremes are highly dependent on the seasonal dynamics of forests and the timing of the climate extremes.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/1ns1q6xkData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd 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=10.1111/gcb.14843&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 72 citations 72 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/1ns1q6xkData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd 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=10.1111/gcb.14843&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 United StatesPublisher:Wiley Funded by:NSERCNSERCBing Xu; M. Altaf Arain; T. Andrew Black; Beverly E. Law; Gilberto Z. Pastorello; Housen Chu;doi: 10.1111/gcb.14843
pmid: 31529736
AbstractClimate extremes such as heat waves and droughts are projected to occur more frequently with increasing temperature and an intensified hydrological cycle. It is important to understand and quantify how forest carbon fluxes respond to heat and drought stress. In this study, we developed a series of daily indices of sensitivity to heat and drought stress as indicated by air temperature (Ta) and evaporative fraction (EF). Using normalized daily carbon fluxes from the FLUXNET Network for 34 forest sites in North America, the seasonal pattern of sensitivities of net ecosystem productivity (NEP), gross ecosystem productivity (GEP) and ecosystem respiration (RE) in response toTaand EF anomalies were compared for different forest types. The results showed that warm temperatures in spring had a positive effect on NEP in conifer forests but a negative impact in deciduous forests. GEP in conifer forests increased with higher temperature anomalies in spring but decreased in summer. The drought‐induced decrease in NEP, which mostly occurred in the deciduous forests, was mostly driven by the reduction in GEP. In conifer forests, drought had a similar dampening effect on both GEP and RE, therefore leading to a neutral NEP response. The NEP sensitivity toTaanomalies increased with increasing mean annual temperature. Drier sites were less sensitive to drought stress in summer. Natural forests with older stand age tended to be more resilient to the climate stresses compared to managed younger forests. The results of the Classification and Regression Tree analysis showed that seasons and ecosystem productivity were the most powerful variables in explaining the variation of forest sensitivity to heat and drought stress. Our results implied that the magnitude and direction of carbon flux changes in response to climate extremes are highly dependent on the seasonal dynamics of forests and the timing of the climate extremes.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/1ns1q6xkData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd 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=10.1111/gcb.14843&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 72 citations 72 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/1ns1q6xkData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd 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=10.1111/gcb.14843&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu