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Global transpiration data from sap flow measurements: the SAPFLUXNET database

Rafael Poyatos 1 Víctor Granda 1 Víctor Flo Mark Adams Balázs Adorján David Aguadé Marcos Aidar Scott Allen M Alvarado-Barrientos Kristina Anderson-Teixeira Luiza Aparecido M Arain Ismael Aranda Heidi Asbjornsen Robert Baxter Eric Beamesderfer Z Berry Daniel Berveiller Bethany Blakely Johnny Boggs Gil Bohrer Paul Bolstad Damien Bonal 2 Rosvel Bracho Patricia Brito Jason Brodeur Fernando Casanoves Jérôme Chave 3 Hui Chen Cesar Cisneros Kenneth Clark Edoardo Cremonese Hongzhong Dang Jorge David Teresa David Nicolas Delpierre Ankur Desai Frederic Do 4 Michal Dohnal Jean-Christophe Domec Sebinasi Dzikiti Colin Edgar Rebekka Eichstaedt Tarek El-Madany Jan Elbers Cleiton Eller Eugénie Euskirchen Brent Ewers Patrick Fonti Alicia Forner David Forrester Helber Freitas Marta Galvagno Omar Garcia-Tejera Chandra Ghimire Teresa Gimeno John Grace André Granier 2 Anne Griebel Yan Guangyu Mark Gush Paul Hanson Niles Hasselquist Ingo Heinrich Virginia Hernandez-Santana Valentine Herrmann Teemu Hölttä Friso Holwerda James Irvine Supat Isarangkool Na Ayutthaya Paul Jarvis Hubert Jochheim Carlos Joly Julia Kaplick Hyun Kim Leif Klemedtsson Heather Kropp Fredrik Lagergren Patrick Lane Petra Lang Andrei Lapenas Víctor Lechuga Minsu Lee Christoph Leuschner Jean-Marc Limousin Juan Linares Maj-Lena Linderson Anders Lindroth Pilar Llorens Álvaro López-Bernal Michael Loranty Dietmar Lüttschwager Cate Macinnis-Ng Isabelle Maréchaux 5 Timothy Martin Ashley Matheny Nate Mcdowell Sean Mcmahon Patrick Meir Ilona Mészáros Mirco Migliavacca Patrick Mitchell Meelis Mölder Leonardo Montagnani Georgianne Moore Ryogo Nakada Furong Niu Rachael Nolan Richard Norby Kimberly Novick Walter Oberhuber Nikolaus Obojes A Oishi Rafael Oliveira Ram Oren Jean-Marc Ourcival 6 Teemu Paljakka Oscar Perez-Priego Pablo Peri Richard Peters Sebastian Pfautsch William Pockman Yakir Preisler Katherine Rascher George Robinson Humberto Rocha Alain Rocheteau Alexander Röll Bruno Rosado Lucy Rowland Alexey Rubtsov Santiago Sabaté Yann Salmon Roberto Salomón Elisenda Sánchez-Costa Karina Schäfer Bernhard Schuldt Alexandr Shashkin Clément Stahl Marko Stojanović Juan Suárez Ge Sun Justyna Szatniewska Fyodor Tatarinov Frank 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
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 (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.
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https://hal.inrae.fr/hal-03261880
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Submitted on : Wednesday, June 16, 2021 - 10:46:39 AM
Last modification on : Friday, September 3, 2021 - 3:36:07 AM

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Rafael Poyatos, Víctor Granda, Víctor Flo, Mark Adams, Balázs Adorján, et al.. Global transpiration data from sap flow measurements: the SAPFLUXNET database. Earth System Science Data, Copernicus Publications, 2021, 13, pp.2607 - 2649. ⟨10.5194/essd-13-2607-2021⟩. ⟨hal-03261880⟩

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