Global transpiration data from sap flow measurements: the SAPFLUXNET database : научное издание
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https://elib.sfu-kras.ru/handle/2311/141718Автор:
Poyatos Rafael
Granda Victor
Flo Victor
Adams Mark A.
Adorjan Balazs
Aguade David
Aidar Marcos P. M.
Allen Scott
Susana Alvarado-Barrientos M.
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
Bonal Damien
Bracho Rosvel
Brito Patricia
Brodeur Jason
Casanoves Fernando
Chave Jerome
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 Eugenie S.
Ewers Brent
Fonti Patrick
Forner Alicia
Forrester David
Freitas Helber C.
Galvagno Marta
Garcia-Tejera Omar
Ghimire Chandra Prasad
Gimeno Teresa E.
Grace John
Granier Andre
Griebel Anne
Guangyu Yan
Gush Mark B.
Hanson Paul J.
Hasselquist Niles J.
Heinrich Ingo
Hernandez-Santana Virginia
Herrmann Valentine
Holtta 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 Victor
Lee Minsu
Leuschner Christoph
Limousin Jean-Marc
Linares Juan Carlos
Linderson Maj-Lena
Lindroth Anders
Llorens Pilar
Lopez-Bernal Alvaro
Loranty Michael M.
Luttschwager Dietmar
Macinnis-Ng Cate
Marechaux Isabelle
Martin Timothy A.
Matheny Ashley
McDowell Nate
McMahon Sean
Meir Patrick
Meszaros Ilona
Migliavacca Mirco
Mitchell Patrick
Molder 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
Roll Alexander
Rosado Bruno H. P.
Rowland Lucy
Rubtsov Alexey
Sabate Santiago
Salmon Yann
Salomon Roberto L.
Sanchez-Costa Elisenda
Schafer Karina V. R.
Schuldt Bernhard
Shashkin Alexandr
Stahl Clement
Stojanovic Marko
Suarez Juan Carlos
Sun Ge
Szatniewska Justyna
Tatarinov Fyodor
Tesar 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
Martinez-Vilalta Jordi
Дата:
2021Журнал:
EARTH SYSTEM SCIENCE DATAКвартиль журнала в Scopus:
даКвартиль журнала в Web of Science:
даСтатья из журнала. Научное издание.
Аннотация:
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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