Global transpiration data from sap flow measurements: the SAPFLUXNET database
- Autores
- Poyatos, Rafael; Granda, Víctor; Flo, Víctor; Adams, Mark A.; Adorján, Balázs; Aguadé, David; Aidar, Marcos P. M.; Allen, Scott; Alvarado Barrientos, M. Susana; Anderson Teixeira, Kristina J.; Aparecido, Luiza Maria; Arain, M. Altaf; Aranda, Ismael; Asbjornsen, Heidi; Robert Baxter; Beamesderfer, Eric; Carter Berry, Z.; Berveiller, Daniel; Blakely, Bethany; Boggs, Johnny; Gil Bohrer; Bolstad, Paul V.; Bonal, Damien; Bracho, Rosvel; Brito, Patricia; Brodeur, Jason; Casanoves, Fernando; Chave, Jérôme; Chen, Hui; Peri, Pablo Luis
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land?atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets,while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes.
Fil: Poyatos, Rafael. Universitat Autònoma de Barcelona; España
Fil: Granda, Víctor. Universitat Autònoma de Barcelona; España
Fil: Flo, Víctor. Universitat Autònoma de Barcelona; España
Fil: Adams, Mark A.. Swinburne University of Technology; Australia. University of Sydney; Australia
Fil: Adorján, Balázs. University of Debrecen; Hungría
Fil: Aguadé, David. Universitat Autònoma de Barcelona; España
Fil: Aidar, Marcos P. M.. Institute of Botany; Brasil
Fil: Allen, Scott. University of Nevada; Estados Unidos
Fil: Alvarado Barrientos, M. Susana. Instituto de Ecología A.C.; México
Fil: Anderson Teixeira, Kristina J.. Smithsonian Tropical Research Institute; Panamá
Fil: Aparecido, Luiza Maria. Arizona State University; Estados Unidos. Texas A&M University; Estados Unidos
Fil: Arain, M. Altaf. McMaster University; Canadá
Fil: Aranda, Ismael. National Institute for Agricultural and Food Research and Technology; España
Fil: Asbjornsen, Heidi. University of New Hampshire; Estados Unidos
Fil: Robert Baxter. Durham University; Reino Unido
Fil: Beamesderfer, Eric. McMaster University; Canadá. Northern Arizona University; Estados Unidos
Fil: Carter Berry, Z.. Chapman University; Estados Unidos
Fil: Berveiller, Daniel. Université Paris Saclay; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Blakely, Bethany. University of Illinois at Urbana-Champaign; Estados Unidos
Fil: Boggs, Johnny. United States Forest Service; Estados Unidos
Fil: Gil Bohrer. Ohio State University; Estados Unidos
Fil: Bolstad, Paul V.. University of Minnesota; Estados Unidos
Fil: Bonal, Damien. Université de Lorraine; Francia
Fil: Bracho, Rosvel. University of Florida; Estados Unidos
Fil: Brito, Patricia. Universidad de La Laguna; España
Fil: Brodeur, Jason. McMaster University; Canadá
Fil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Costa Rica
Fil: Chave, Jérôme. Université Paul Sabatier; Francia
Fil: Chen, Hui. Xiamen University; China
Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina - Materia
-
Sap flow
Plant transpiration
Woodland
Ecosystem flux networks - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/167717
Ver los metadatos del registro completo
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Global transpiration data from sap flow measurements: the SAPFLUXNET databasePoyatos, RafaelGranda, VíctorFlo, VíctorAdams, Mark A.Adorján, BalázsAguadé, DavidAidar, Marcos P. M.Allen, ScottAlvarado Barrientos, M. SusanaAnderson Teixeira, Kristina J.Aparecido, Luiza MariaArain, M. AltafAranda, IsmaelAsbjornsen, HeidiRobert BaxterBeamesderfer, EricCarter Berry, Z.Berveiller, DanielBlakely, BethanyBoggs, JohnnyGil BohrerBolstad, Paul V.Bonal, DamienBracho, RosvelBrito, PatriciaBrodeur, JasonCasanoves, FernandoChave, JérômeChen, HuiPeri, Pablo LuisSap flowPlant transpirationWoodlandEcosystem flux networkshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land?atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets,while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes.Fil: Poyatos, Rafael. Universitat Autònoma de Barcelona; EspañaFil: Granda, Víctor. Universitat Autònoma de Barcelona; EspañaFil: Flo, Víctor. Universitat Autònoma de Barcelona; EspañaFil: Adams, Mark A.. Swinburne University of Technology; Australia. University of Sydney; AustraliaFil: Adorján, Balázs. University of Debrecen; HungríaFil: Aguadé, David. Universitat Autònoma de Barcelona; EspañaFil: Aidar, Marcos P. M.. Institute of Botany; BrasilFil: Allen, Scott. University of Nevada; Estados UnidosFil: Alvarado Barrientos, M. Susana. Instituto de Ecología A.C.; MéxicoFil: Anderson Teixeira, Kristina J.. Smithsonian Tropical Research Institute; PanamáFil: Aparecido, Luiza Maria. Arizona State University; Estados Unidos. Texas A&M University; Estados UnidosFil: Arain, M. Altaf. McMaster University; CanadáFil: Aranda, Ismael. National Institute for Agricultural and Food Research and Technology; EspañaFil: Asbjornsen, Heidi. University of New Hampshire; Estados UnidosFil: Robert Baxter. Durham University; Reino UnidoFil: Beamesderfer, Eric. McMaster University; Canadá. Northern Arizona University; Estados UnidosFil: Carter Berry, Z.. Chapman University; Estados UnidosFil: Berveiller, Daniel. Université Paris Saclay; Francia. Centre National de la Recherche Scientifique; FranciaFil: Blakely, Bethany. University of Illinois at Urbana-Champaign; Estados UnidosFil: Boggs, Johnny. United States Forest Service; Estados UnidosFil: Gil Bohrer. Ohio State University; Estados UnidosFil: Bolstad, Paul V.. University of Minnesota; Estados UnidosFil: Bonal, Damien. Université de Lorraine; FranciaFil: Bracho, Rosvel. University of Florida; Estados UnidosFil: Brito, Patricia. Universidad de La Laguna; EspañaFil: Brodeur, Jason. McMaster University; CanadáFil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Costa RicaFil: Chave, Jérôme. Université Paul Sabatier; FranciaFil: Chen, Hui. Xiamen University; ChinaFil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; ArgentinaCopernicus Publications2021-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/167717Poyatos, Rafael; Granda, Víctor; Flo, Víctor; Adams, Mark A.; Adorján, Balázs; et al.; Global transpiration data from sap flow measurements: the SAPFLUXNET database; Copernicus Publications; Earth System Science Data; 13; 6-2021; 2607-26491866-3508CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.5194/essd-13-2607-2021info:eu-repo/semantics/altIdentifier/url/https://essd.copernicus.org/articles/13/2607/2021/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:34:22Zoai:ri.conicet.gov.ar:11336/167717instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:34:22.309CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Global transpiration data from sap flow measurements: the SAPFLUXNET database |
| title |
Global transpiration data from sap flow measurements: the SAPFLUXNET database |
| spellingShingle |
Global transpiration data from sap flow measurements: the SAPFLUXNET database Poyatos, Rafael Sap flow Plant transpiration Woodland Ecosystem flux networks |
| title_short |
Global transpiration data from sap flow measurements: the SAPFLUXNET database |
| title_full |
Global transpiration data from sap flow measurements: the SAPFLUXNET database |
| title_fullStr |
Global transpiration data from sap flow measurements: the SAPFLUXNET database |
| title_full_unstemmed |
Global transpiration data from sap flow measurements: the SAPFLUXNET database |
| title_sort |
Global transpiration data from sap flow measurements: the SAPFLUXNET database |
| dc.creator.none.fl_str_mv |
Poyatos, Rafael Granda, Víctor Flo, Víctor Adams, Mark A. Adorján, Balázs Aguadé, David Aidar, Marcos P. M. Allen, Scott Alvarado Barrientos, M. Susana Anderson Teixeira, Kristina J. Aparecido, Luiza Maria Arain, M. Altaf Aranda, Ismael Asbjornsen, Heidi Robert Baxter Beamesderfer, Eric Carter Berry, Z. Berveiller, Daniel Blakely, Bethany Boggs, Johnny Gil Bohrer Bolstad, Paul V. Bonal, Damien Bracho, Rosvel Brito, Patricia Brodeur, Jason Casanoves, Fernando Chave, Jérôme Chen, Hui Peri, Pablo Luis |
| author |
Poyatos, Rafael |
| author_facet |
Poyatos, Rafael Granda, Víctor Flo, Víctor Adams, Mark A. Adorján, Balázs Aguadé, David Aidar, Marcos P. M. Allen, Scott Alvarado Barrientos, M. Susana Anderson Teixeira, Kristina J. Aparecido, Luiza Maria Arain, M. Altaf Aranda, Ismael Asbjornsen, Heidi Robert Baxter Beamesderfer, Eric Carter Berry, Z. Berveiller, Daniel Blakely, Bethany Boggs, Johnny Gil Bohrer Bolstad, Paul V. Bonal, Damien Bracho, Rosvel Brito, Patricia Brodeur, Jason Casanoves, Fernando Chave, Jérôme Chen, Hui Peri, Pablo Luis |
| author_role |
author |
| author2 |
Granda, Víctor Flo, Víctor Adams, Mark A. Adorján, Balázs Aguadé, David Aidar, Marcos P. M. Allen, Scott Alvarado Barrientos, M. Susana Anderson Teixeira, Kristina J. Aparecido, Luiza Maria Arain, M. Altaf Aranda, Ismael Asbjornsen, Heidi Robert Baxter Beamesderfer, Eric Carter Berry, Z. Berveiller, Daniel Blakely, Bethany Boggs, Johnny Gil Bohrer Bolstad, Paul V. Bonal, Damien Bracho, Rosvel Brito, Patricia Brodeur, Jason Casanoves, Fernando Chave, Jérôme Chen, Hui Peri, Pablo Luis |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Sap flow Plant transpiration Woodland Ecosystem flux networks |
| topic |
Sap flow Plant transpiration Woodland Ecosystem flux networks |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land?atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets,while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. Fil: Poyatos, Rafael. Universitat Autònoma de Barcelona; España Fil: Granda, Víctor. Universitat Autònoma de Barcelona; España Fil: Flo, Víctor. Universitat Autònoma de Barcelona; España Fil: Adams, Mark A.. Swinburne University of Technology; Australia. University of Sydney; Australia Fil: Adorján, Balázs. University of Debrecen; Hungría Fil: Aguadé, David. Universitat Autònoma de Barcelona; España Fil: Aidar, Marcos P. M.. Institute of Botany; Brasil Fil: Allen, Scott. University of Nevada; Estados Unidos Fil: Alvarado Barrientos, M. Susana. Instituto de Ecología A.C.; México Fil: Anderson Teixeira, Kristina J.. Smithsonian Tropical Research Institute; Panamá Fil: Aparecido, Luiza Maria. Arizona State University; Estados Unidos. Texas A&M University; Estados Unidos Fil: Arain, M. Altaf. McMaster University; Canadá Fil: Aranda, Ismael. National Institute for Agricultural and Food Research and Technology; España Fil: Asbjornsen, Heidi. University of New Hampshire; Estados Unidos Fil: Robert Baxter. Durham University; Reino Unido Fil: Beamesderfer, Eric. McMaster University; Canadá. Northern Arizona University; Estados Unidos Fil: Carter Berry, Z.. Chapman University; Estados Unidos Fil: Berveiller, Daniel. Université Paris Saclay; Francia. Centre National de la Recherche Scientifique; Francia Fil: Blakely, Bethany. University of Illinois at Urbana-Champaign; Estados Unidos Fil: Boggs, Johnny. United States Forest Service; Estados Unidos Fil: Gil Bohrer. Ohio State University; Estados Unidos Fil: Bolstad, Paul V.. University of Minnesota; Estados Unidos Fil: Bonal, Damien. Université de Lorraine; Francia Fil: Bracho, Rosvel. University of Florida; Estados Unidos Fil: Brito, Patricia. Universidad de La Laguna; España Fil: Brodeur, Jason. McMaster University; Canadá Fil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Costa Rica Fil: Chave, Jérôme. Université Paul Sabatier; Francia Fil: Chen, Hui. Xiamen University; China Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina |
| description |
Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land?atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets,while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-06 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/167717 Poyatos, Rafael; Granda, Víctor; Flo, Víctor; Adams, Mark A.; Adorján, Balázs; et al.; Global transpiration data from sap flow measurements: the SAPFLUXNET database; Copernicus Publications; Earth System Science Data; 13; 6-2021; 2607-2649 1866-3508 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/167717 |
| identifier_str_mv |
Poyatos, Rafael; Granda, Víctor; Flo, Víctor; Adams, Mark A.; Adorján, Balázs; et al.; Global transpiration data from sap flow measurements: the SAPFLUXNET database; Copernicus Publications; Earth System Science Data; 13; 6-2021; 2607-2649 1866-3508 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
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info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-13-2607-2021 info:eu-repo/semantics/altIdentifier/url/https://essd.copernicus.org/articles/13/2607/2021/ |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by/2.5/ar/ |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Copernicus Publications |
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Copernicus Publications |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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