4.7 Article

Response of global land evapotranspiration to climate change, elevated CO2, and land use change

期刊

AGRICULTURAL AND FOREST METEOROLOGY
卷 311, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.agrformet.2021.108663

关键词

Evapotranspiration; Detection and attribution; Land use change; Climate change; Budyko

资金

  1. National Natural Science Foundation of China [42001042, U1911205, 41901041, 41871029]
  2. Visiting Researcher Fund Program of the State Key Laboratory of Water Resources and Hydropower Engineering Science [2020SWG02]
  3. State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, CAS [SKLLQG2018]
  4. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute [U2020nkms01]
  5. Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) [CUG2106351]
  6. China Postdoctoral Science Foundation [BX20190301]
  7. Research Grants Council (RGC) of the Hong Kong Special Administrative Region, China [HKBU12302518]
  8. Pearl River Talent Recruitment Program of Guangdong Province, China [2017GC010634]

向作者/读者索取更多资源

Climate change, elevated CO2 concentration, and land use change have significantly altered land evapotranspiration, with climate change being the primary driver of increased evapotranspiration. However, CO2 and land use change also play distinct roles in affecting evapotranspiration in different regions.
Climate change (CLI), elevated CO2 concentration (CO2), and land use change (LUC) have strongly altered land evapotranspiration (ET) during the recent decades. The fingerprints of these drivers in ET change, however, have not previously been detected due to the lack of these three scenarios from global climate models (GCMs). Here we applied an optimal fingerprint method to detect and attribute ET change by integrated utilization of state-of-the-art global ecosystem models and GCMs. Results indicate that CLI provides the greatest contribution to increasing ET, and its fingerprint is detectable at different timescales. CO2 reduces ET in most areas covered by forests. LUC decreases ET over the tropics, while increases ET over temperate and high-latitude regions. To further subdivide the impacts of CLI, we extend the Budyko framework to quantify the contribution of precipitation (P) and potential evapotranspiration (PET) and find that the dominant role of CLI mainly depends on the contribution of P.

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