Global transpiration data from sap flow measurements: the SAPFLUXNET database
Authors: 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. , 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. , 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 J. , Hasselquist Niles J. , Heinrich Ingo , Hernandez-Santana Virginia , Herrmann Valentine , Hölttä Teemu , Holwerda Friso , Irvine James , Isarangkool Na Ayutthaya Supat , 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 H. P. , Rowland Lucy , Rubtsov Alexey V. , Sabaté Santiago , Salmon Yann , Salomón Roberto L. , Sánchez-Costa Elisenda , Schäfer Karina V. R. , 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 
Published: June 2021

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.