Global transpiration data from sap flow measurements: the SAPFLUXNET database

Show simple item record Poyatos, Rafael Granda, Víctor Flo, Víctor Adams, Mark A Adorján, Balázs Aguadé, David Aidar, Marcos PM Allen, Scott Alvarado-Barrientos, M Susana Anderson-Teixeira, Kristina J Aparecido, Luiza Maria Arain, M Altaf Aranda, Ismael Asbjornsen, Heidi Baxter, Robert Beamesderfer, Eric Berry, Z Carter Berveiller, Daniel Blakely, Bethany Boggs, Johnny Bohrer, Gil Bolstad, Paul V Bonal, Damien Bracho, Rosvel Brito, Patricia Brodeur, Jason Casanoves, Fernando Chave, Jérôme Chen, Hui Cisneros, Cesar Clark, Kenneth Cremonese, Edoardo Dang, Hongzhong David, Jorge S David, Teresa S Delpierre, Nicolas Desai, Ankur R C., Frederic Dohnal, Michal Domec, Jean-Christophe Dzikiti, Sebinasi Edgar, Colin Eichstaedt, Rebekka El-Madany, Tarek S Elbers, Jan Eller, Cleiton B Euskirchen, Eugénie S Ewers, Brent Fonti, Patrick Forner, Alicia Forrester, David I Freitas, Helber C Galvagno, Marta Garcia-Tejera, Omar Ghimire, Chandra Prasad Gimeno, Teresa E Grace, John Granier, André Griebel, Anne Guangyu, Yan Gush, Mark B Hanson, Paul J Hasselquist, Niles J Heinrich, Ingo Hernandez-Santana, Virginia Herrmann, Valentine Hölttä, Teemu Holwerda, Friso Irvine, James Ayutthaya, Supat Isarangkool Na Jarvis, Paul G Jochheim, Hubert Joly, Carlos A Kaplick, Julia Kim, Hyun Seok Klemedtsson, Leif Kropp, Heather Lagergren, Fredrik Lane, Patrick Lang, Petra Lapenas, Andrei Lechuga, Víctor Lee, Minsu Leuschner, Christoph Limousin, Jean-Marc Linares, Juan Carlos Linderson, Maj-Lena Lindroth, Anders Llorens, Pilar López-Bernal, Álvaro Loranty, Michael M Lüttschwager, Dietmar Macinnis-Ng, Cate Maréchaux, Isabelle Martin, Timothy A Matheny, Ashley McDowell, Nate McMahon, Sean Meir, Patrick Mészáros, Ilona Migliavacca, Mirco Mitchell, Patrick Mölder, Meelis Montagnani, Leonardo Moore, Georgianne W Nakada, Ryogo Niu, Furong Nolan, Rachael H Norby, Richard Novick, Kimberly Oberhuber, Walter Obojes, Nikolaus Oishi, A Christopher Oliveira, Rafael S Oren, Ram Ourcival, Jean-Marc Paljakka, Teemu Perez-Priego, Oscar Peri, Pablo L Peters, Richard L Pfautsch, Sebastian Pockman, William T Preisler, Yakir Rascher, Katherine Robinson, George Rocha, Humberto Rocheteau, Alain Röll, Alexander Rosado, Bruno HP Rowland, Lucy Rubtsov, Alexey V Sabaté, Santiago Salmon, Yann Salomón, Roberto L Sánchez-Costa, Elisenda Schäfer, Karina VR Schuldt, Bernhard Shashkin, Alexandr Stahl, Clément Stojanović, Marko Suárez, Juan Carlos Sun, Ge Szatniewska, Justyna Tatarinov, Fyodor Tesař, Miroslav Thomas, Frank M Tor-ngern, Pantana Urban, Josef Valladares, Fernando van der Tol, Christiaan van Meerveld, Ilja Varlagin, Andrej Voigt, Holm Warren, Jeffrey Werner, Christiane Werner, Willy Wieser, Gerhard Wingate, Lisa Wullschleger, Stan Yi, Koong Zweifel, Roman Steppe, Kathy Mencuccini, Maurizio Martínez-Vilalta, Jordi 2021-09-02T23:23:05Z 2021-09-02T23:23:05Z 2021-6-14
dc.identifier.citation Earth System Science Data 13(6):2607-2649 14 Jun 2021
dc.identifier.issn 1866-3508
dc.description.abstract <jats:p>Abstract. 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,, 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 (; Poyatos et al., 2020a). The “sapfluxnetr” R package – designed to access, visualize, and process SAPFLUXNET data – is available from CRAN. </jats:p>
dc.language en
dc.publisher Copernicus GmbH
dc.relation.ispartofseries Earth System Science Data
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.subject Science & Technology
dc.subject Physical Sciences
dc.subject Geosciences, Multidisciplinary
dc.subject Meteorology & Atmospheric Sciences
dc.subject Geology
dc.subject FLUX-DENSITY
dc.subject 0401 Atmospheric Sciences
dc.subject 0402 Geochemistry
dc.subject 0406 Physical Geography and Environmental Geoscience
dc.title Global transpiration data from sap flow measurements: the SAPFLUXNET database
dc.type Journal Article
dc.identifier.doi 10.5194/essd-13-2607-2021
pubs.issue 6
pubs.begin-page 2607
pubs.volume 13 2021-08-08T09:35:33Z
dc.rights.holder Copyright: The author en
pubs.end-page 2649
pubs.publication-status Published online
dc.rights.accessrights en
pubs.subtype Article
pubs.subtype Journal
pubs.elements-id 857771
dc.identifier.eissn 1866-3516 2021-6-14

Files in this item

Find Full text

This item appears in the following Collection(s)

Show simple item record


Search ResearchSpace