Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites

We apply and compare three widely applicable methods for estimating ecosystem transpiration (T) from eddy covariance (EC) data across 251 FLUXNET sites globally. All three methods are based on the coupled water and carbon relationship, but they differ in assumptions and parameterizations. Intercomparison of the three daily T estimates shows high correlation among methods (R between.89 and.94), but a spread in magnitudes of T/ET (evapotranspiration) from 45% to 77%. When compared at six sites with concurrent EC and sap flow measurements, all three EC-based T estimates show higher correlation to sap flow-based T than EC-based ET. The partitioning methods show expected tendencies of T/ET increasing with dryness (vapor pressure deficit and days since rain) and with leaf area index (LAI). Analysis of 140 sites with high-quality estimates for at least two continuous years shows that T/ET variability was 1.6 times higher across sites than across years. Spatial variability of T/ET was primarily driven by vegetation and soil characteristics (e.g., crop or grass designation, minimum annual LAI, soil coarse fragment volume) rather than climatic variables such as mean/standard deviation of temperature or precipitation. Overall, T and T/ET patterns are plausible and qualitatively consistent among the different water flux partitioning methods implying a significant advance made for estimating and understanding T globally, while the magnitudes remain uncertain. Our results represent the first extensive EC data-based estimates of ecosystem T permitting a data-driven perspective on the role of plants’ water use for global water and carbon cycling in a changing climate. © 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd

Authors
Nelson J.A.1 , Pérez-Priego O.2 , Zhou S.3, 4, 5 , Poyatos R.6, 7 , Zhang Y. 3 , Blanken P.D.8 , Gimeno T.E.9, 10 , Wohlfahrt G.11 , Desai A.R.12 , Gioli B.13 , Limousin J.-M.14 , Bonal D.15 , Paul-Limoges E.16 , Scott R.L.17 , Varlagin A.18 , Fuchs K.19 , Montagnani L.20 , Wolf S.21 , Delpierre N.22 , Berveiller D.22 , Gharun M.21 , Belelli Marchesini L. , Gianelle D.23 , Šigut L.25 , Mammarella I.26 , Siebicke L.27 , Andrew Black T. , Knohl A.27, 29 , Hörtnagl L.30 , Magliulo V.31 , Besnard S.1, 32 , Weber U.1 , Carvalhais N.1, 33 , Migliavacca M.1 , Reichstein M.1, 34 , Jung M.1
Publisher
Blackwell Publishing Ltd
Language
English
Status
Published
Year
2020
Organizations
  • 1 Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
  • 2 Department of Biological Sciences, Macquarie University, Sydney, NSW, Australia
  • 3 Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, United States
  • 4 Earth Institute, Columbia University, New York, NY, United States
  • 5 Department of Earth and Environmental Engineering, Columbia University, New York, NY, United States
  • 6 CREAF, Cerdanyola del Vallès, Spain
  • 7 Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
  • 8 Department of Geography, University of Colorado, Boulder, CO, United States
  • 9 Basque Centre for Climate Change, Scientific Campus of the University of the Basque Country, Leioa, Spain
  • 10 IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
  • 11 Department of Ecology, University of Innsbruck, Innsbruck, Austria
  • 12 Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, United States
  • 13 Institute of Bioeconomy (IBE), National Research Council of Italy (CNR), Firenze, Italy
  • 14 CEFE, UMR 5175, CNRS, Univ Montpellier, Univ Paul Valéry Montpellier 3, EPHE, IRD, Montpellier, France
  • 15 Université de Lorraine, AgroParisTech, INRA, UMR Silva, Nancy, France
  • 16 Department of Geography, University of Zurich, Zurich, Switzerland
  • 17 Southwest Watershed Research Center, USDA-ARS, Tucson, AZ, United States
  • 18 A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russian Federation
  • 19 Karlsruhe Institute of Technology (KIT) Institute of Meteorology and Climate Research – Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany
  • 20 Forest Service, Autonomous Province of Bolzano-Bozen, Bolzano-Bozen, Italy
  • 21 Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
  • 22 Ecologie Systématique Evolution, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Orsay, France
  • 23 Department of Sustainable Agro-Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all’Adige, Italy
  • 24 Department of Landscape Design and Sustainable Ecosystems, Agrarian-Technological Institute, RUDN University, Moscow, Russian Federation
  • 25 Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic
  • 26 Institute for Atmospheric and Earth System Research INAR/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
  • 27 Bioclimatology, University of Goettingen, Göttingen, Germany
  • 28 Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada
  • 29 Centre of Biodiversity and Sustainable Land Use, University of Goettingen, Goettingen, Germany
  • 30 Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland
  • 31 Institute for Agricultural and Forest Systems in the Mediterranean (ISAFoM), National Research Council of Italy (CNR), Ercolano, Italy
  • 32 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research Center, Wageningen, Netherlands
  • 33 Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, Lisbon, Portugal
  • 34 Michael-Stifel-Center Jena for Data-Driven and Simulation Science, Jena, Germany
Keywords
ecohydrology; eddy covariance; evaporation; evapotranspiration; FLUXNET; transpiration
Date of creation
02.11.2020
Date of change
02.11.2020
Short link
https://repository.rudn.ru/en/records/article/record/65693/
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