Global transpiration data from sap flow measurements: the SAPFLUXNET database
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...
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RepoCATIE99952023-11-16T16:37:28Z Global transpiration data from sap flow measurements: the SAPFLUXNET database Datos de transpiración global de las mediciones del flujo de savia: Base de datos SAPFLUXNET Poyatos, Rafael Granda, Víctor Flo, Víctor Adams, Mark A Adorján, Balázs Aguadé, David Aidar, Marcos P.M. Allen, Scott Alvarado-Barrientos, Susana Anderson-Teixeira, Kristina J. 152 autores más BASES DE DATOS FLUJO SAVIA ECOSISTEMA USO DEL AGUA ECOLOGIA TRANSPIRACION CUENCAS HIDROGRAFICAS ECOFISIOLOGIA AGRONOMIA HIDROLOGIA 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/). We harmonised 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… 2020-11-19T04:16:33Z 2020-11-19T04:16:33Z 2020 Artículo https://repositorio.catie.ac.cr/handle/11554/9995 en Earth System Science Data info:eu-repo/semantics/openAccess application/pdf |
institution |
Centro Agronómico Tropical de Investigación y Enseñanza |
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Repositorio CATIE |
language |
Inglés |
topic |
BASES DE DATOS FLUJO SAVIA ECOSISTEMA USO DEL AGUA ECOLOGIA TRANSPIRACION CUENCAS HIDROGRAFICAS ECOFISIOLOGIA AGRONOMIA HIDROLOGIA |
spellingShingle |
BASES DE DATOS FLUJO SAVIA ECOSISTEMA USO DEL AGUA ECOLOGIA TRANSPIRACION CUENCAS HIDROGRAFICAS ECOFISIOLOGIA AGRONOMIA HIDROLOGIA Poyatos, Rafael Granda, Víctor Flo, Víctor Adams, Mark A Adorján, Balázs Aguadé, David Aidar, Marcos P.M. Allen, Scott Alvarado-Barrientos, Susana Anderson-Teixeira, Kristina J. 152 autores más Global transpiration data from sap flow measurements: the SAPFLUXNET database |
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/). We harmonised 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… |
format |
Artículo |
author |
Poyatos, Rafael Granda, Víctor Flo, Víctor Adams, Mark A Adorján, Balázs Aguadé, David Aidar, Marcos P.M. Allen, Scott Alvarado-Barrientos, Susana Anderson-Teixeira, Kristina J. 152 autores más |
author_facet |
Poyatos, Rafael Granda, Víctor Flo, Víctor Adams, Mark A Adorján, Balázs Aguadé, David Aidar, Marcos P.M. Allen, Scott Alvarado-Barrientos, Susana Anderson-Teixeira, Kristina J. 152 autores más |
author_sort |
Poyatos, Rafael |
title |
Global transpiration data from sap flow measurements: the SAPFLUXNET database |
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 |
publishDate |
2020 |
url |
https://repositorio.catie.ac.cr/handle/11554/9995 |
work_keys_str_mv |
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