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 driver...
| Main Authors: | , , , , , , , , , , , |
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Copernicus Publications
2021
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| Online Access: | http://hdl.handle.net/20.500.12123/9646 https://essd.copernicus.org/articles/13/2607/2021/essd-13-2607-2021.html https://doi.org/10.5194/essd-13-2607-2021 |
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| author | 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. Peri, Pablo Luis Martínez-Vilalta, Jordi |
| author_browse | Adams, Mark A. Adorján, Balázs Aguadé, David Aidar, Marcos P. M. Allen, Scott Alvarado-Barrientos, M. Susana Anderson-Teixeira, Kristina J. Flo, Víctor Granda, Víctor Martínez-Vilalta, Jordi Peri, Pablo Luis 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. Peri, Pablo Luis Martínez-Vilalta, Jordi |
| author_sort | Poyatos, Rafael |
| collection | INTA Digital |
| 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. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (https://doi.org/10.5281/zenodo.3971689; Poyatos et al., 2020a). The “sapfluxnetr” R package – designed to access, visualize, and process SAPFLUXNET data – is available from CRAN. |
| format | info:ar-repo/semantics/artículo |
| id | INTA9646 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Copernicus Publications |
| publisherStr | Copernicus Publications |
| record_format | dspace |
| spelling | INTA96462021-06-23T12:37:39Z Global transpiration data from sap flow measurements: the SAPFLUXNET database 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. Peri, Pablo Luis Martínez-Vilalta, Jordi Sap Translocation Physiological Response Software Development Transpiration Vegetation Water Supply Trees Forest Ecosystems Radiation Water Balance Savia Traslocación Respuesta Fisiológica Desarrollo de Programas Informáticos Transpiración Vegetación Suministro de Agua Árboles Ecosistemas Forestales Radiación Balance de Agua Ecophysiology Evaporative Flux Sap Flow Ecofisiología Flujo Evaporativo Flujo de Savia 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. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (https://doi.org/10.5281/zenodo.3971689; Poyatos et al., 2020a). The “sapfluxnetr” R package – designed to access, visualize, and process SAPFLUXNET data – is available from CRAN. EEA Santa Cruz Fil: Poyatos, Rafael. Universitat Autònoma de Barcelona. Bellaterra (Cerdanyola del Vallès); España Fil: Poyatos, Rafael. CREAF. Bellaterra (Cerdanyola del Vallès); España Fil: Granda, Víctor. Universitat Autònoma de Barcelona. Bellaterra (Cerdanyola del Vallès); España Fil: Granda, Víctor. Joint Research Unit CREAF-CTFC. Bellaterra; España Fil: Flo, Víctor. Universitat Autònoma de Barcelona. Bellaterra (Cerdanyola del Vallès); España Fil: Adams, Mark A. Swinburne University of Technology. Faculty of Science Engineering and Technology; Australia. Fil: Adams, Mark A. University of Sydney. School of Life and Environmental Sciences; Australia. Fil: Adorján, Balázs. University of Debrecen. Faculty of Science and Technology. Department of Botany; Hungría Fil: Aguadé, David. Universitat Autònoma de Barcelona. Bellaterra (Cerdanyola del Vallès); España Fil: Aidar, Marcos P. M. Institute of Botany. Plant Physiology and Biochemistry; Brasil Fil: Allen, Scott. University of Nevada. Department of Natural Resources and Environmental Science; Estados Unidos Fil: Alvarado-Barrientos, M. Susana. Instituto de Ecología A.C. Red Ecología Funcional; México. Fil: Anderson-Teixeira, Kristina J. Center for Tropical Forest Science-Forest Global Earth Observatory, Smithsonian Tropical Research Institute; Panamá Fil: Anderson-Teixeira, Kristina J. Conservation Ecology Center. Smithsonian Conservation Biology Institute; Estados Unidos Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Martínez-Vilalta, Jordi. CREAF. Bellaterra (Cerdanyola del Vallès); España Fil: Martínez-Vilalta, Jordi. Universitat Autònoma de Barcelona. Bellaterra (Cerdanyola del Vallès); España 2021-06-23T12:17:42Z 2021-06-23T12:17:42Z 2021-06-14 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/9646 https://essd.copernicus.org/articles/13/2607/2021/essd-13-2607-2021.html Poyatos, R., Granda, V., Flo, V., Adams, M. A., Adorján, B., Aguadé, D., Aidar, M. P. M., Allen, S., Alvarado-Barrientos, M. S., Anderson-Teixeira, K. J., Aparecido, L. M., Arain, M. A., Aranda, I., Asbjornsen, H., Baxter, R., Beamesderfer, E., Berry, Z. C., Berveiller, D., Blakely, B., Boggs, J., Bohrer, G., Bolstad, P. V., Bonal, D., Bracho, R., Brito, P., Brodeur, J., Casanoves, F., Chave, J., Chen, H., Cisneros, C., Clark, K., Cremonese, E., Dang, H., David, J. S., David, T. S., Delpierre, N., Desai, A. R., Do, F. C., Dohnal, M., Domec, J.-C., Dzikiti, S., Edgar, C., Eichstaedt, R., El-Madany, T. S., Elbers, J., Eller, C. B., Euskirchen, E. S., Ewers, B., Fonti, P., Forner, A., Forrester, D. I., Freitas, H. C., Galvagno, M., Garcia-Tejera, O., Ghimire, C. P., Gimeno, T. E., Grace, J., Granier, A., Griebel, A., Guangyu, Y., Gush, M. B., Hanson, P. J., Hasselquist, N. J., Heinrich, I., Hernandez-Santana, V., Herrmann, V., Hölttä, T., Holwerda, F., Irvine, J., Isarangkool Na Ayutthaya, S., Jarvis, P. G., Jochheim, H., Joly, C. A., Kaplick, J., Kim, H. S., Klemedtsson, L., Kropp, H., Lagergren, F., Lane, P., Lang, P., Lapenas, A., Lechuga, V., Lee, M., Leuschner, C., Limousin, J.-M., Linares, J. C., Linderson, M.-L., Lindroth, A., Llorens, P., López-Bernal, Á., Loranty, M. M., Lüttschwager, D., Macinnis-Ng, C., Maréchaux, I., Martin, T. A., Matheny, A., McDowell, N., McMahon, S., Meir, P., Mészáros, I., Migliavacca, M., Mitchell, P., Mölder, M., Montagnani, L., Moore, G. W., Nakada, R., Niu, F., Nolan, R. H., Norby, R., Novick, K., Oberhuber, W., Obojes, N., Oishi, A. C., Oliveira, R. S., Oren, R., Ourcival, J.-M., Paljakka, T., Perez-Priego, O., Peri, P. L., Peters, R. L., Pfautsch, S., Pockman, W. T., Preisler, Y., Rascher, K., Robinson, G., Rocha, H., Rocheteau, A., Röll, A., Rosado, B. H. P., Rowland, L., Rubtsov, A. V., Sabaté, S., Salmon, Y., Salomón, R. L., Sánchez-Costa, E., Schäfer, K. V. R., Schuldt, B., Shashkin, A., Stahl, C., Stojanović, M., Suárez, J. C., Sun, G., Szatniewska, J., Tatarinov, F., Tesař, M., Thomas, F. M., Tor-ngern, P., Urban, J., Valladares, F., van der Tol, C., van Meerveld, I., Varlagin, A., Voigt, H., Warren, J., Werner, C., Werner, W., Wieser, G., Wingate, L., Wullschleger, S., Yi, K., Zweifel, R., Steppe, K., Mencuccini, M., and Martínez-Vilalta, J.: Global transpiration data from sap flow measurements: the SAPFLUXNET database, Earth Syst. Sci. Data, 13, 2607–2649, https://doi.org/10.5194/essd-13-2607-2021, 2021. 1866-3508 1866-3516 https://doi.org/10.5194/essd-13-2607-2021 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Copernicus Publications Earth System Science Data 13 : 2607-2649. (2021) |
| spellingShingle | Sap Translocation Physiological Response Software Development Transpiration Vegetation Water Supply Trees Forest Ecosystems Radiation Water Balance Savia Traslocación Respuesta Fisiológica Desarrollo de Programas Informáticos Transpiración Vegetación Suministro de Agua Árboles Ecosistemas Forestales Radiación Balance de Agua Ecophysiology Evaporative Flux Sap Flow Ecofisiología Flujo Evaporativo Flujo de Savia 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. Peri, Pablo Luis Martínez-Vilalta, Jordi Global transpiration data from sap flow measurements: the SAPFLUXNET database |
| title | 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_short | Global transpiration data from sap flow measurements: the SAPFLUXNET database |
| title_sort | global transpiration data from sap flow measurements the sapfluxnet database |
| topic | Sap Translocation Physiological Response Software Development Transpiration Vegetation Water Supply Trees Forest Ecosystems Radiation Water Balance Savia Traslocación Respuesta Fisiológica Desarrollo de Programas Informáticos Transpiración Vegetación Suministro de Agua Árboles Ecosistemas Forestales Radiación Balance de Agua Ecophysiology Evaporative Flux Sap Flow Ecofisiología Flujo Evaporativo Flujo de Savia |
| url | http://hdl.handle.net/20.500.12123/9646 https://essd.copernicus.org/articles/13/2607/2021/essd-13-2607-2021.html https://doi.org/10.5194/essd-13-2607-2021 |
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