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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.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-020-0534-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024 Argentina, France, ArgentinaPublisher:MDPI AG Funded by:EC | ICT-AGRI-FOOD, EC | ERA-GAS, EC | SusCrop +1 projectsEC| ICT-AGRI-FOOD ,EC| ERA-GAS ,EC| SusCrop ,EC| SusAnGere, José; Restovich, Silvina; Mattera, Juan; Cattoni, María; Ortiz-Chura, Abimael; Posse, Gabriela; Cerón-Cucchi, María;This study aims to quantify enteric methane (CH4) emission and dry matter intake (DMI) in beef steers under two rotational grazing systems: (i) a mixture of cover crops (vetch + ryegrass + forage radish) (CC) and (ii) alfalfa and fescue pasture (AFP). Eighteen Hereford steers were divided into two groups (nine steers per group), assigned to either the CC or AFP. Methane emissions were measured using the SF6 tracer technique. The results showed that steers grazing CC produced 29% less CH4 in g/d compared to those on the AFP (119.1 vs. 167.1 g/d for CC and AFP, p < 0.05) and 36% less CH4 yield (4.3 vs. 6.7% of gross energy intake). However, average daily gain (ADG), DMI, and CH4 intensity (gCH4/kg ADG) did not significantly differ between treatments. The integration of CC in a cattle grazing system has the potential to reduce CH4 emissions by improving forage quality.
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=10.3390/ani14233535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/ani14233535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, France, France, Argentina, ArgentinaPublisher:Elsevier BV Publicly fundedSebastian Vangeli; Laura M. Cardenas; Gabriela Posse; Dave R. Chadwick; Dominika J. Krol; Rachel E. Thorman; Gary J. Lanigan; Tom H. Misselbrook;pmid: 36049305
handle: 20.500.12123/12891 , 11336/204823 , 10568/125214
According to the available guidelines, good practices for calculating nitrous oxide (N2O) emission factors (EFs) for livestock excreta and manure application include that sampling duration should be of at least one year after the nitrogen (N) application or deposition. However, the available experimental data suggest that in many cases most emissions are concentrated in the first months following N application. Therefore resources could be better deployed by measuring more intensively during a shorter period. This study aimed to assess the contribution of the N2O flux in the period directly after N application to the annual net emission. We used a database of 100 year-long plot experiments from different excreted-N sources (dung, urine, farmyard manure and slurry) used to derive EFs for the UK and Ireland. We explored different shorter potential measurement periods that could be used as proxies for cumulative annual emissions. The analysis showed that the majority of emissions occur in the first months after application, especially in experiments that i) had urine as the N source, ii) had spring N application, iii) were conducted on fine-textured soils, or iv) showed high annual emissions magnitude. Experiments that showed a smaller percentage of emissions in the first months also had a low magnitude of annual net emissions (below 370 gN2O-N ha-1 year-1), so the impact of measuring during a shorter period would not greatly influence the calculated EF. Accurate EF estimations were obtained by measuring for at least 60 days for urine (underestimation: 7.1%), 120 days for dung and slurry (4.7 and 5.1%) and 180 days for FYM (1.4%). At least in temperate climates, these results are promising in terms of being able to estimate annual N2O fluxes accurately by collecting data for less than 12 months, with significant resource-saving when conducting experiments towards developing country-specific EFs.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022Full-Text: https://hdl.handle.net/10568/125214Data sources: Bielefeld Academic Search Engine (BASE)Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData 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=10.1016/j.jenvman.2022.116037&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022Full-Text: https://hdl.handle.net/10568/125214Data sources: Bielefeld Academic Search Engine (BASE)Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData 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=10.1016/j.jenvman.2022.116037&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021Publisher:Wiley Funded by:EC | SEDAL, UKRI | "NORDESTE", EC | DRY-2-DRY +2 projectsEC| SEDAL ,UKRI| "NORDESTE" ,EC| DRY-2-DRY ,UKRI| "Nordeste" ,UKRI| Brazilian Experimental datasets for MUlti-Scale interactions in the critical zone under Extreme Drought (BEMUSED)Authors: Davi de Carvalho Diniz Melo; Jamil A.A. Anache; Edson Wendland; Valéria Peixoto Borges; +30 AuthorsDavi de Carvalho Diniz Melo; Jamil A.A. Anache; Edson Wendland; Valéria Peixoto Borges; Diego G. Miralles; Brecht Martens; Joshua Fisher; Rodolfo L. B. Nobrega; Alvaro Moreno; Osvaldo M R Cabral; Thiago Rangel Rodrigues; Bergson Bezerra; Cláudio Moisés Santos e Silva; Antonio Alves Meira Neto; Magna S. B. Moura; Thiago Valentim Marques; Suany Campos; José de Souza Nogueira; Rafael Rosolem; Rodolfo Souza; Antonio C. D. Antonino; David Holl; Mauricio Galleguillos; Jorge F. Perez-Quezada; Anne Verhoef; Lars Kutzbach; José Romualdo de Sousa Lima; Eduardo Soares de Souza; María I. Gassman; Claudio F Pérez; Natalia Tonti; Gabriela Posse; Dominik Rains; Paulo Tarso Sanches Oliveira;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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/essoar.10506923.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021Publisher:Elsevier BV Authors: Juan Carlos Ceballos; Anthony Carlos Silva Porfirio; Patricio Alberto Oricchio; Gabriela Posse;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=10.2139/ssrn.3990211&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Funded by:UKRI | "Nordeste", UKRI | Brazilian Experimental da..., EC | DRY-2-DRY +2 projectsUKRI| "Nordeste" ,UKRI| Brazilian Experimental datasets for MUlti-Scale interactions in the critical zone under Extreme Drought (BEMUSED) ,EC| DRY-2-DRY ,UKRI| "NORDESTE" ,EC| SEDAL, Melo; , Anache; , Borges; , Miralles; , Martens; , Fisher; , Nóbrega; , Moreno; , Cabral; , Rodrigues; , Bezerra; , Silva; Neto, Meira; , Moura; , Marques; , Campos; , Nogueira; , Rosolem; , Souza; , Antonino; , Holl; , Galleguillos; , Perez-Quezada; , Verhoef; , Kutzbach; , Lima; , Souza; , Gassman; , Perez; , Tonti; , Posse; , Rains; , Oliveira; , Wendland;Funding for AmeriFlux data resources was provided by the U.S. Department of Energy's Office of Science. Davi de C. D. Melo was supported by the São Paulo State Research Foundation (FAPES) (grant 2016/23546-7) and by the Brazilian National Council for Scientific and Technological Development (CNPq) (project 409093/2018-1). Paulo Tarso S. Oliveira was supported by the Brazilian National Council for Scientific and Technological Development (CNPq) (grants 441289/2017-7 and 306830/2017-5) and the CAPES Print program. Rafael Rosolem would like to acknowledge the Brazilian Experimental datasets for MUlti-Scale interactions in the critical zone under Extreme Drought (BEMUSED) project [grant number NE/R004897/1] funded by the Natural Environment Research Council (NERC). Alvaro Moreno was financially supported by the NASA Earth Observing System MODIS project (grant NNX08AG87A) and the European Research Council (ERC) funding under the ERC Consolidator Grant 2014 SEDAL (Statistical Learning for Earth Observation Data Analysis, European Union) project under Grant Agreement 647423. Diego G. Miralles, Brecht Martens and Dominik Rains are supported by the European Research Council (ERC) DRY–2–DRY project (grant no. 715254) and the Belgian Science Policy Office (BELSPO) STEREO III ALBERI (grant no. SR/00/373) and ET–SENSE (grant. no SR/02/377) projects. Thiago R. Rodrigues was supported by the Brazilian National Council for Scientific and Technological Development (CNPq) with Bolsa de Produtividade em Pesquisa - PQ (Grant Number 308844/2018-1). Jorge Perez-Quezada and Mauricio Galleguillos were supported by the Chilean National Agency for Research and Development, grant FONDECYT 1211652. Rodolfo Nobrega and Anne Verhoef acknowledge support by the Newton/NERC/FAPESP Nordeste project: NE/N012488/1. Gabriela Posse acknowledges support by AERN 3632 and PNNAT 1128023 INTA Projects. Funding for site support: NPW tower: Brazilian National Institute for Science and Technology in Wetlands (INCT-INAU), Federal University of Mato Grosso (UFMT - PGFA and PGAT), University of Cuiabá (UNIC) and SESC-Pantanal; SDF tower: funded by the National Commission for Scientific and Technological Research (CONICYT, Chile) through grants FONDEQUIP AIC-37 and AFB170008 from the Associative Research Program. TF1 and TF2 towers: funded by the Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy – EXC 177 'CliSAP - Integrated Climate System Analysis and Prediction' – contributing to the Center for Earth System Research and Sustainability (CEN) of Universität Hamburg and by DFG project KU 1418/6-1. MCR and BAL towers: funded by the National Council for Scientific and Technological Research (CONICET, Argentina) grants PIP-11220100100044 and PIP-11220130100347CO, and by the National Agency for the Scientific and Technological Promotion (ANPCyT, Argentina) grant PICT 2010-0554. JBF contributed to this research at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. California Institute of Technology. Government sponsorship acknowledged. JBF was supported in part by NASA: ECOSTRESS and SUSMAP. Copyright 2021. All rights reserved. CAA, CST, and ESEC Towers: funded by National Observatory of Water and Carbon Dynamics in the Caatinga Biome (INCT-NOWCDCB), Federal University of Pernambuco (UFPE), FACEPE (Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco) through the Project Caatinga-FLUX APQ 0062-1.07/15. Metadata of ‘Are remote sensing evapotranspiration models reliable across South American ecoregions?’ This document describes the file formatting and data used to run and evaluate the evapotranspiration models in this study. Because forcing data varies among models, each input file contains a different set of meteorological data placed within a folder named after the corresponding model. File format and time stamps Data files are CSV formatted with timestamps in the first column of the file. The following timestamps are used: GLEAM: Year (YYYY); Day of Year (DDD) PT-JPL: Year (YYYY); Month (MM); Day (DD) PM-MOD: Year (YYYY); Month (MM); Day (DD) PM-VI: Date (MM/DD/YYYY) Missing data Missing data are reported using ‘NaN’ as a replacement flag. Data for all days in a leap year are reported. Data format The column headers Name, Description and Units are adopted used in the data files to describe the following variables:: ETo, Penman-Monteith FAO-56 reference evapotranspiration (mm day-1); ETobs, Observed evapotranspiration (mm day-1); Rn, Surface Net Radiation (w m-2); Rg, Daylight shortwave Incoming Radiation (w m-2); Rgs_out, Shortwave Radiation - outgoing (w m-2); G, Soil heat flux (w m-2); P, Rainfall (mm day-1); T, Surface Air Temperature (ºC); Tmax, Maximum Temperature (ºC); Tmin, Minimum Temperature (ºC); Tday, Daytime Temperature (ºC); TminDay, Daytime Minimum Temperature (ºC); TminNight, Nighttime Minimum Temperature (ºC); Patm, Atmospheric Air Pressure (Pa); ea, Actual Vapor Pressure (kPa); es, Saturation Vapor Pressure (kPa); VPD, Vapor Pressure Deficit (kPa); eaDay, Daytime Actual Vapor Pressure (kPa); eaNight, Nighttime Actual Vapor Pressure (kPa); RH, Air Relative Humidity; RHDayTime, Daytime Air Relative Humidity; RHNightTime, Nighttime Air Relative Humidity; LAI, Leaf Area Index (m² m-²); SWC, Soil Water Content (mm m-1). Forcing data per model Each model requires a different set of forcing data, as follows: GLEAM: Rn, P, T, Rgs_out; PT-JPL: Tmax, Rn, RH (or ea); PM-MOD: Rg, Tday, TminDay, TminNight, RHDayTime, RHNighttime, eaDay, eaNight; PM-VI: ETo. Tower sites (IDs) and co-authors/PIs: SDF: J. P. Quezada and M. Galleguillos; TF1 and TF2: L. Kutzbach and D. Holl; GRO and SLU: G. Posse; BAL and MCC: M. Gassman and C. Perez; PDG, EUC and USR: O. Cabral; FM and SIN: J.S. Nogueira and T. Range; CAA: M. Moura; CST: A. C. D. Antonino; SJO: E. S. Souza and J. R. S. Lima; ESEC: B. Bezerra.
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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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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 2024 Argentina, France, ArgentinaPublisher:MDPI AG Funded by:EC | ICT-AGRI-FOOD, EC | ERA-GAS, EC | SusCrop +1 projectsEC| ICT-AGRI-FOOD ,EC| ERA-GAS ,EC| SusCrop ,EC| SusAnGere, José; Restovich, Silvina; Mattera, Juan; Cattoni, María; Ortiz-Chura, Abimael; Posse, Gabriela; Cerón-Cucchi, María;This study aims to quantify enteric methane (CH4) emission and dry matter intake (DMI) in beef steers under two rotational grazing systems: (i) a mixture of cover crops (vetch + ryegrass + forage radish) (CC) and (ii) alfalfa and fescue pasture (AFP). Eighteen Hereford steers were divided into two groups (nine steers per group), assigned to either the CC or AFP. Methane emissions were measured using the SF6 tracer technique. The results showed that steers grazing CC produced 29% less CH4 in g/d compared to those on the AFP (119.1 vs. 167.1 g/d for CC and AFP, p < 0.05) and 36% less CH4 yield (4.3 vs. 6.7% of gross energy intake). However, average daily gain (ADG), DMI, and CH4 intensity (gCH4/kg ADG) did not significantly differ between treatments. The integration of CC in a cattle grazing system has the potential to reduce CH4 emissions by improving forage quality.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, France, France, Argentina, ArgentinaPublisher:Elsevier BV Publicly fundedSebastian Vangeli; Laura M. Cardenas; Gabriela Posse; Dave R. Chadwick; Dominika J. Krol; Rachel E. Thorman; Gary J. Lanigan; Tom H. Misselbrook;pmid: 36049305
handle: 20.500.12123/12891 , 11336/204823 , 10568/125214
According to the available guidelines, good practices for calculating nitrous oxide (N2O) emission factors (EFs) for livestock excreta and manure application include that sampling duration should be of at least one year after the nitrogen (N) application or deposition. However, the available experimental data suggest that in many cases most emissions are concentrated in the first months following N application. Therefore resources could be better deployed by measuring more intensively during a shorter period. This study aimed to assess the contribution of the N2O flux in the period directly after N application to the annual net emission. We used a database of 100 year-long plot experiments from different excreted-N sources (dung, urine, farmyard manure and slurry) used to derive EFs for the UK and Ireland. We explored different shorter potential measurement periods that could be used as proxies for cumulative annual emissions. The analysis showed that the majority of emissions occur in the first months after application, especially in experiments that i) had urine as the N source, ii) had spring N application, iii) were conducted on fine-textured soils, or iv) showed high annual emissions magnitude. Experiments that showed a smaller percentage of emissions in the first months also had a low magnitude of annual net emissions (below 370 gN2O-N ha-1 year-1), so the impact of measuring during a shorter period would not greatly influence the calculated EF. Accurate EF estimations were obtained by measuring for at least 60 days for urine (underestimation: 7.1%), 120 days for dung and slurry (4.7 and 5.1%) and 180 days for FYM (1.4%). At least in temperate climates, these results are promising in terms of being able to estimate annual N2O fluxes accurately by collecting data for less than 12 months, with significant resource-saving when conducting experiments towards developing country-specific EFs.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022Full-Text: https://hdl.handle.net/10568/125214Data sources: Bielefeld Academic Search Engine (BASE)Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd 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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more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022Full-Text: https://hdl.handle.net/10568/125214Data sources: Bielefeld Academic Search Engine (BASE)Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd 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 2021Publisher:Wiley Funded by:EC | SEDAL, UKRI | "NORDESTE", EC | DRY-2-DRY +2 projectsEC| SEDAL ,UKRI| "NORDESTE" ,EC| DRY-2-DRY ,UKRI| "Nordeste" ,UKRI| Brazilian Experimental datasets for MUlti-Scale interactions in the critical zone under Extreme Drought (BEMUSED)Authors: Davi de Carvalho Diniz Melo; Jamil A.A. Anache; Edson Wendland; Valéria Peixoto Borges; +30 AuthorsDavi de Carvalho Diniz Melo; Jamil A.A. Anache; Edson Wendland; Valéria Peixoto Borges; Diego G. Miralles; Brecht Martens; Joshua Fisher; Rodolfo L. B. Nobrega; Alvaro Moreno; Osvaldo M R Cabral; Thiago Rangel Rodrigues; Bergson Bezerra; Cláudio Moisés Santos e Silva; Antonio Alves Meira Neto; Magna S. B. Moura; Thiago Valentim Marques; Suany Campos; José de Souza Nogueira; Rafael Rosolem; Rodolfo Souza; Antonio C. D. Antonino; David Holl; Mauricio Galleguillos; Jorge F. Perez-Quezada; Anne Verhoef; Lars Kutzbach; José Romualdo de Sousa Lima; Eduardo Soares de Souza; María I. Gassman; Claudio F Pérez; Natalia Tonti; Gabriela Posse; Dominik Rains; Paulo Tarso Sanches Oliveira;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 2021Publisher:Elsevier BV Authors: Juan Carlos Ceballos; Anthony Carlos Silva Porfirio; Patricio Alberto Oricchio; Gabriela Posse;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.eu3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
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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.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Funded by:UKRI | "Nordeste", UKRI | Brazilian Experimental da..., EC | DRY-2-DRY +2 projectsUKRI| "Nordeste" ,UKRI| Brazilian Experimental datasets for MUlti-Scale interactions in the critical zone under Extreme Drought (BEMUSED) ,EC| DRY-2-DRY ,UKRI| "NORDESTE" ,EC| SEDAL, Melo; , Anache; , Borges; , Miralles; , Martens; , Fisher; , Nóbrega; , Moreno; , Cabral; , Rodrigues; , Bezerra; , Silva; Neto, Meira; , Moura; , Marques; , Campos; , Nogueira; , Rosolem; , Souza; , Antonino; , Holl; , Galleguillos; , Perez-Quezada; , Verhoef; , Kutzbach; , Lima; , Souza; , Gassman; , Perez; , Tonti; , Posse; , Rains; , Oliveira; , Wendland;Funding for AmeriFlux data resources was provided by the U.S. Department of Energy's Office of Science. Davi de C. D. Melo was supported by the São Paulo State Research Foundation (FAPES) (grant 2016/23546-7) and by the Brazilian National Council for Scientific and Technological Development (CNPq) (project 409093/2018-1). Paulo Tarso S. Oliveira was supported by the Brazilian National Council for Scientific and Technological Development (CNPq) (grants 441289/2017-7 and 306830/2017-5) and the CAPES Print program. Rafael Rosolem would like to acknowledge the Brazilian Experimental datasets for MUlti-Scale interactions in the critical zone under Extreme Drought (BEMUSED) project [grant number NE/R004897/1] funded by the Natural Environment Research Council (NERC). Alvaro Moreno was financially supported by the NASA Earth Observing System MODIS project (grant NNX08AG87A) and the European Research Council (ERC) funding under the ERC Consolidator Grant 2014 SEDAL (Statistical Learning for Earth Observation Data Analysis, European Union) project under Grant Agreement 647423. Diego G. Miralles, Brecht Martens and Dominik Rains are supported by the European Research Council (ERC) DRY–2–DRY project (grant no. 715254) and the Belgian Science Policy Office (BELSPO) STEREO III ALBERI (grant no. SR/00/373) and ET–SENSE (grant. no SR/02/377) projects. Thiago R. Rodrigues was supported by the Brazilian National Council for Scientific and Technological Development (CNPq) with Bolsa de Produtividade em Pesquisa - PQ (Grant Number 308844/2018-1). Jorge Perez-Quezada and Mauricio Galleguillos were supported by the Chilean National Agency for Research and Development, grant FONDECYT 1211652. Rodolfo Nobrega and Anne Verhoef acknowledge support by the Newton/NERC/FAPESP Nordeste project: NE/N012488/1. Gabriela Posse acknowledges support by AERN 3632 and PNNAT 1128023 INTA Projects. Funding for site support: NPW tower: Brazilian National Institute for Science and Technology in Wetlands (INCT-INAU), Federal University of Mato Grosso (UFMT - PGFA and PGAT), University of Cuiabá (UNIC) and SESC-Pantanal; SDF tower: funded by the National Commission for Scientific and Technological Research (CONICYT, Chile) through grants FONDEQUIP AIC-37 and AFB170008 from the Associative Research Program. TF1 and TF2 towers: funded by the Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy – EXC 177 'CliSAP - Integrated Climate System Analysis and Prediction' – contributing to the Center for Earth System Research and Sustainability (CEN) of Universität Hamburg and by DFG project KU 1418/6-1. MCR and BAL towers: funded by the National Council for Scientific and Technological Research (CONICET, Argentina) grants PIP-11220100100044 and PIP-11220130100347CO, and by the National Agency for the Scientific and Technological Promotion (ANPCyT, Argentina) grant PICT 2010-0554. JBF contributed to this research at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. California Institute of Technology. Government sponsorship acknowledged. JBF was supported in part by NASA: ECOSTRESS and SUSMAP. Copyright 2021. All rights reserved. CAA, CST, and ESEC Towers: funded by National Observatory of Water and Carbon Dynamics in the Caatinga Biome (INCT-NOWCDCB), Federal University of Pernambuco (UFPE), FACEPE (Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco) through the Project Caatinga-FLUX APQ 0062-1.07/15. Metadata of ‘Are remote sensing evapotranspiration models reliable across South American ecoregions?’ This document describes the file formatting and data used to run and evaluate the evapotranspiration models in this study. Because forcing data varies among models, each input file contains a different set of meteorological data placed within a folder named after the corresponding model. File format and time stamps Data files are CSV formatted with timestamps in the first column of the file. The following timestamps are used: GLEAM: Year (YYYY); Day of Year (DDD) PT-JPL: Year (YYYY); Month (MM); Day (DD) PM-MOD: Year (YYYY); Month (MM); Day (DD) PM-VI: Date (MM/DD/YYYY) Missing data Missing data are reported using ‘NaN’ as a replacement flag. Data for all days in a leap year are reported. Data format The column headers Name, Description and Units are adopted used in the data files to describe the following variables:: ETo, Penman-Monteith FAO-56 reference evapotranspiration (mm day-1); ETobs, Observed evapotranspiration (mm day-1); Rn, Surface Net Radiation (w m-2); Rg, Daylight shortwave Incoming Radiation (w m-2); Rgs_out, Shortwave Radiation - outgoing (w m-2); G, Soil heat flux (w m-2); P, Rainfall (mm day-1); T, Surface Air Temperature (ºC); Tmax, Maximum Temperature (ºC); Tmin, Minimum Temperature (ºC); Tday, Daytime Temperature (ºC); TminDay, Daytime Minimum Temperature (ºC); TminNight, Nighttime Minimum Temperature (ºC); Patm, Atmospheric Air Pressure (Pa); ea, Actual Vapor Pressure (kPa); es, Saturation Vapor Pressure (kPa); VPD, Vapor Pressure Deficit (kPa); eaDay, Daytime Actual Vapor Pressure (kPa); eaNight, Nighttime Actual Vapor Pressure (kPa); RH, Air Relative Humidity; RHDayTime, Daytime Air Relative Humidity; RHNightTime, Nighttime Air Relative Humidity; LAI, Leaf Area Index (m² m-²); SWC, Soil Water Content (mm m-1). Forcing data per model Each model requires a different set of forcing data, as follows: GLEAM: Rn, P, T, Rgs_out; PT-JPL: Tmax, Rn, RH (or ea); PM-MOD: Rg, Tday, TminDay, TminNight, RHDayTime, RHNighttime, eaDay, eaNight; PM-VI: ETo. Tower sites (IDs) and co-authors/PIs: SDF: J. P. Quezada and M. Galleguillos; TF1 and TF2: L. Kutzbach and D. Holl; GRO and SLU: G. Posse; BAL and MCC: M. Gassman and C. Perez; PDG, EUC and USR: O. Cabral; FM and SIN: J.S. Nogueira and T. Range; CAA: M. Moura; CST: A. C. D. Antonino; SJO: E. S. Souza and J. R. S. Lima; ESEC: B. Bezerra.
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