4.7 Article

Multi-decadal trends in global terrestrial evapotranspiration and its components

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SCIENTIFIC REPORTS
卷 6, 期 -, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/srep19124

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资金

  1. Australian Research Council DECRA Fellowship [DE140100200]
  2. AmeriFlux (U.S. Department of Energy, Biological and Environmental Research, Terrestrial Carbon Program) [DE-FG02-04ER63917, DE-FG02-04ER63911]
  3. CFCAS
  4. NSERC
  5. BIOCAP
  6. Environment Canada
  7. NRCan
  8. CarboEuropeIP
  9. FAO-GTOS-TCO
  10. iLEAPS
  11. Max Planck Institute for Biogeochemistry
  12. National Science Foundation
  13. University of Tuscia
  14. Universite Laval
  15. US Department of Energy
  16. Div Of Chem, Bioeng, Env, & Transp Sys
  17. Directorate For Engineering [1264808] Funding Source: National Science Foundation
  18. Australian Research Council [DE140100200] Funding Source: Australian Research Council

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Evapotranspiration (ET) is the process by which liquid water becomes water vapor and energetically this accounts for much of incoming solar radiation. If this ET did not occur temperatures would be higher, so understanding ET trends is crucial to predict future temperatures. Recent studies have reported prolonged declines in ET in recent decades, although these declines may relate to climate variability. Here, we used a well-validated diagnostic model to estimate daily ET during 1981-2012, and its three components: transpiration from vegetation (Et), direct evaporation from the soil (E-s) and vaporization of intercepted rainfall from vegetation (E-i). During this period, ET over land has increased significantly (p < 0.01), caused by increases in E-t and E-i, which are partially counteracted by E-s decreasing. These contrasting trends are primarily driven by increases in vegetation leaf area index, dominated by greening. The overall increase in E-t over land is about twofold of the decrease in E-s. These opposing trends are not simulated by most Coupled Model Intercomparison Project phase 5 (CMIP5) models, and highlight the importance of realistically representing vegetation changes in earth system models for predicting future changes in the energy and water cycle.

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