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Global transpiration data from sap flow measurements: The SAPFLUXNET database

  • Rafael Poyatos
  • , Víctor Granda
  • , Víctor Flo
  • , Mark A. Adams
  • , Balázs Adorján
  • , David Aguadé
  • , Marcos P.M. Aidar
  • , Scott Allen
  • , M. Susana Alvarado-Barrientos
  • , Kristina J. Anderson-Teixeira
  • , Luiza Maria Aparecido
  • , M. Altaf Arain
  • , Ismael Aranda
  • , Heidi Asbjornsen
  • , Robert Baxter
  • , Eric Beamesderfer
  • , Z. Carter Berry
  • , Daniel Berveiller
  • , Bethany Blakely
  • , Johnny Boggs
  • Gil Bohrer, Paul V. Bolstad, Damien Bonal, Rosvel Bracho, Patricia Brito, Jason Brodeur, Fernando Casanoves, Jérôme Chave, Hui Chen, Cesar Cisneros, Kenneth Clark, Edoardo Cremonese, Hongzhong Dang, Jorge S. David, Teresa S. David, Nicolas Delpierre, Ankur R. Desai, Frederic C. Do, Michal Dohnal, Jean Christophe Domec, Sebinasi Dzikiti, Colin Edgar, Rebekka Eichstaedt, Tarek S. El-Madany, Jan Elbers, Cleiton B. Eller, Eugénie S. Euskirchen, Brent Ewers, Patrick Fonti, Alicia Forner, David I. Forrester, Helber C. Freitas, Marta Galvagno, Omar Garcia-Tejera, Chandra Prasad Ghimire, Teresa E. Gimeno, John Grace, André Granier, Anne Griebel, Yan Guangyu, Mark B. Gush, Paul J. Hanson, Niles J. Hasselquist, Ingo Heinrich, Virginia Hernandez-Santana, Valentine Herrmann, Teemu Hölttä, Friso Holwerda, James Irvine, Supat Isarangkool Na Ayutthaya, Paul G. Jarvis, Hubert Jochheim, Carlos A. Joly, Julia Kaplick, Hyun Seok Kim, Leif Klemedtsson, Heather Kropp, Fredrik Lagergren, Patrick Lane, Petra Lang, Andrei Lapenas, Víctor Lechuga, Minsu Lee, Christoph Leuschner, Jean Marc Limousin, Juan Carlos Linares, Maj Lena Linderson, Anders Lindroth, Pilar Llorens, Álvaro López-Bernal, Michael M. Loranty, Dietmar Lüttschwager, Cate MacInnis-Ng, Isabelle Maréchaux, Timothy A. Martin, Ashley Matheny, Nate McDowell, Sean McMahon, Patrick Meir, Ilona Mészáros, Mirco Migliavacca, Patrick Mitchell, Meelis Mölder, Leonardo Montagnani, Georgianne W. Moore, Ryogo Nakada, Furong Niu, Rachael H. Nolan, Richard Norby, Kimberly Novick, Walter Oberhuber, Nikolaus Obojes, A. Christopher Oishi, Rafael S. Oliveira, Ram Oren, Jean Marc Ourcival, Teemu Paljakka, Oscar Perez-Priego, Pablo L. Peri, Richard L. Peters, Sebastian Pfautsch, William T. Pockman, Yakir Preisler, Katherine Rascher, George Robinson, Humberto Rocha, Alain Rocheteau, Alexander Röll, Bruno H.P. Rosado, Lucy Rowland, Alexey V. Rubtsov, Santiago Sabaté, Yann Salmon, Roberto L. Salomón, Elisenda Sánchez-Costa, Karina V.R. Schäfer, Bernhard Schuldt, Alexandr Shashkin, Clément Stahl, Marko Stojanović, Juan Carlos Suárez, Ge Sun, Justyna Szatniewska, Fyodor Tatarinov, Miroslav TesaÅ™, Frank M. Thomas, Pantana Tor-Ngern, Josef Urban, Fernando Valladares, Christiaan Van Der Tol, Ilja Van Meerveld, Andrej Varlagin, Holm Voigt, Jeffrey Warren, Christiane Werner, Willy Werner, Gerhard Wieser, Lisa Wingate, Stan Wullschleger, Koong Yi, Roman Zweifel, Kathy Steppe, Maurizio Mencuccini, Jordi Martínez-Vilalta
  • E08193 Bellaterra (Cerdanyola Del Vallès)
  • Autonomous University of Barcelona
  • Swinburne University of Technology
  • University of Sydney
  • University of Debrecen
  • Institute of Botany
  • University of Nevada, Reno
  • Instituto de Ecologia, A.C.
  • Smithsonian Institution
  • Texas A&M University
  • Arizona State University
  • McMaster University
  • Department of Forest Ecology and Genetics
  • University of New Hampshire
  • Durham University
  • Northern Arizona University
  • Chapman University
  • Université Paris-Saclay
  • University of Illinois at Urbana-Champaign
  • United States Department of Agriculture
  • Ohio State University
  • University of Minnesota Twin Cities
  • Université de Lorraine
  • University of Florida
  • University of La Laguna
  • Tropical Agricultural Research and Higher Education Center
  • National Centre for Scientific Research
  • Xiamen University
  • Universidad Nacional de Chimborazo
  • University of Twente
  • Saint Christophe
  • Chinese Academy of Forestry
  • University of Lisbon
  • Instituto Nacional de Investigação Agrária e Veterinária
  • Institut universitaire de France
  • University of Wisconsin–Madison
  • Institut de recherche pour le développement
  • Czech Technical University in Prague
  • INRAE
  • Duke University
  • Stellenbosch University
  • University of Alaska Fairbanks
  • Trier University
  • Max Planck Institute for Biogeochemistry
  • Wageningen University & Research
  • State University of Campinas
  • University of Wyoming
  • Swiss Federal Institute for Forest, Snow and Landscape Research
  • Centro de Investigaciones Sobre Desertificación (CSIC-UVEG-GV)
  • CSIC
  • Universidade Estadual Paulista Júlio de Mesquita Filho
  • Universidade de São Paulo
  • Torre Marimon
  • AgResearch
  • BC3 Basque Centre for Climate Change
  • Ikerbasque Basque Foundation for Science
  • University of Edinburgh
  • Umr Silva 1434
  • Western Sydney University
  • University of Melbourne
  • Royal Horticultural Society
  • Oak Ridge National Laboratory
  • Swedish University of Agricultural Sciences
  • Helmholtz Centre Potsdam - German Research Centre for Geosciences
  • University of Helsinki
  • National Autonomous University of Mexico
  • Khon Kaen University
  • Leibniz Centre for Agricultural Landscape Research
  • Brazilian Platform of Biodiversity and Ecosystem Services/BPBES
  • Brandenburg State Forestry Center of Excellence
  • The University of Auckland
  • Seoul National University
  • National Center for Agro Meteorology
  • University of Gothenburg
  • Hamilton College
  • Colgate University
  • Lund University
  • Referat für Gesundheit und Umwelt
  • State University of New York at Albany
  • University of Jaén
  • University of Göttingen
  • Université de Montpellier
  • Universidad Pablo de Olavide
  • University of Córdoba
  • University of Texas at Austin
  • Pacific Northwest National Laboratory
  • Australian National University
  • CSIRO
  • Free University of Bozen-Bolzano
  • Forest Services
  • Forestry and Forest Products Research Institute
  • University of Arizona
  • University of Tennessee, Knoxville
  • Indiana University Bloomington
  • University of Innsbruck
  • EURAC Research
  • Pratt School of Engineering
  • Macquarie University
  • National Agricultural Technology Institute
  • Río Gallegos
  • National University of Southern Patagonia
  • Ghent University
  • University of New Mexico
  • Weizmann Institute of Science
  • University of Cologne
  • Universidade do Estado do Rio de Janeiro
  • University of Exeter
  • Siberian Federal University
  • University of Barcelona
  • Technical University of Madrid
  • Rutgers, The State University of New Jersey
  • University of Würzburg
  • RAS - Sukachev Institute of Forest, Siberian Branch
  • Université des Antilles
  • Czech Academy of Sciences
  • Florencia
  • Universidad de la Amazonia
  • Chulalongkorn University
  • Mendel University in Brno
  • Universidad Rey Juan Carlos
  • University of Zurich
  • Russian Academy of Sciences
  • University of Bonn
  • University of Freiburg
  • Natural Hazards and Landscape (BFW)
  • University of Virginia
  • ICREA

Research output: Contribution to journalArticlepeer-review

153 Scopus citations

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, 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 (10.5281/zenodo.3971689; Poyatos et al., 2020a). The "sapfluxnetr"R package-designed to access, visualize, and process SAPFLUXNET data-is available from CRAN.

Original languageEnglish
Pages (from-to)2607-2649
Number of pages43
JournalEarth System Science Data
Volume13
Issue number6
DOIs
StatePublished - Jun 14 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

Scopus Subject Areas

  • General Earth and Planetary Sciences

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