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Type: Pré-print
Title: Global transpiration data from sap flow measurements: the SAPFLUXNET database
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.
Aparecida, Luiza Maria
Mitchell, Patrick
Mölder, Meelis
Montagnani, Leonardo
Moore, Georgianne W.
Nakada, Ryogo
Niu, Furong
Nolan, Rachael H.
Norby, Richard
Novick, Kimberly
Oberhuber, Walter
Arain, M. Altaf
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
Aranda, Ismael
Pockman, William T.
Preisler, Yakir
Rascher, Katherine
Robinson, George
Rocha, Humberto
Rocheteau, Alain
Röll, Alexander
Rosado, Bruno
Rowland, Lucy
Rubtsov, Alexey V.
Asbjornsen, Heidi
Sabaté, Santiago
Salmon, Yann
Salomón, Roberto L.
Costa, Elisenda Sánchez
Schäfer, Karina V. R.
Schuldt, Bernhard
Shashkin, Alexandr
Stahl, Clément
Stojanović, Marko
Suárez, Juan Carlos
Baxter, Robert
Sun, Ge
Szatniewska, Justyna
Tatarinov, Fyodor
Tesař, Miroslav
Tor-ngern, Frank M.
Tor-ngern, Pantana
Urban, Josef
Valladares, Fernando
van der Tol, Christiaan
van Meerveld, Ilja
Beamesderfer, Eric
Varlagin, Andrej
Voigt, Holm
Warren, Jeffrey
Werner, Christiane
Werner, Willy
Wieser, Gerhard
Wingate, Lisa
Wullschleger, Stan
Yi, Koong
Zweifel, Roman
Berry, Z. Carter
Steppe, Kathy
Mencuccini, Maurizio
Martínez-Vilalta, Jordi
Berveiller, Daniel
Blakely, Bethany
Boggs, Johnny
Bohrer, Gil
Bolstad, Paul V.
Bonal, Damien
Bracho, Rosvel
Brodeur, Patricia BritoJason
Casanoves, Fernando
Chave, Jérôme
Chen, Hui
Cisneros, Cesar
Clark, Kenneth
Cremonese, Edoardo
David, Jorge S.
David, Teresa S.
Delpierre, Nicolas
Desai, Ankur R.
Do, Frederic C.
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
Hasselquist, Niles J.
Heinrich, Ingo
Hernandez-Santana, Virginia
Herrmann, Valentine
Hölttä, Teemu
Holwerda, Friso
Hongzhong, Dang
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
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, 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. 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, visualise and process SAPFLUXNET data is available from CRAN.
Subject: Plantas
Country: Alemanha
Editor: Copernicus GmbH
Rights: Aberto
Identifier DOI: 10.5194/essd-2020-227
Date Issue: 2016
Appears in Collections:IB - Artigos e Outros Documentos

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