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

  • Nelson JA Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Pérez-Priego O Department of Biological Sciences, Macquarie University, Sydney, NSW, Australia.
  • Zhou S Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA.
  • Poyatos R CREAF, Cerdanyola del Vallès, Spain.
  • Zhang Y Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA.
  • Blanken PD Department of Geography, University of Colorado, Boulder, CO, USA.
  • Gimeno TE Basque Centre for Climate Change, Scientific Campus of the University of the Basque Country, Leioa, Spain.
  • Wohlfahrt G Department of Ecology, University of Innsbruck, Innsbruck, Austria.
  • Desai AR Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, USA.
  • Gioli B Institute of Bioeconomy (IBE), National Research Council of Italy (CNR), Firenze, Italy.
  • Limousin JM CEFE, UMR 5175, CNRS, Univ Montpellier, Univ Paul Valéry Montpellier 3, EPHE, IRD, Montpellier, France.
  • Bonal D Université de Lorraine, AgroParisTech, INRA, UMR Silva, Nancy, France.
  • Paul-Limoges E Department of Geography, University of Zurich, Zurich, Switzerland.
  • Scott RL Southwest Watershed Research Center, USDA-ARS, Tucson, AZ, USA.
  • Varlagin A A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia.
  • Fuchs K Karlsruhe Institute of Technology (KIT) Institute of Meteorology and Climate Research - Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany.
  • Montagnani L Forest Service, Autonomous Province of Bolzano-Bozen, Bolzano-Bozen, Italy.
  • Wolf S Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland.
  • Delpierre N Ecologie Systématique Evolution, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Orsay, France.
  • Berveiller D Ecologie Systématique Evolution, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Orsay, France.
  • Gharun M Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland.
  • Belelli Marchesini L Department of Sustainable Agro-Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
  • Gianelle D Department of Sustainable Agro-Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
  • Šigut L Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic.
  • Mammarella I Institute for Atmospheric and Earth System Research INAR/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland.
  • Siebicke L Bioclimatology, University of Goettingen, Göttingen, Germany.
  • Andrew Black T Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada.
  • Knohl A Bioclimatology, University of Goettingen, Göttingen, Germany.
  • Hörtnagl L Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland.
  • Magliulo V Institute for Agricultural and Forest Systems in the Mediterranean (ISAFoM), National Research Council of Italy (CNR), Ercolano, Italy.
  • Besnard S Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Weber U Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Carvalhais N Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Migliavacca M Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Reichstein M Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Jung M Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
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  • 2020-10-06
Published in:
  • Global change biology. - 2020
FLUXNET
ecohydrology
eddy covariance
evaporation
evapotranspiration
transpiration
English 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.
Language
  • English
Open access status
hybrid
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https://sonar.ch/global/documents/164544
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