TY - JOUR
T1 - Response of global land evapotranspiration to climate change, elevated CO2, and land use change
AU - Liu, Jianyu
AU - You, Yuanyuan
AU - Li, Jianfeng
AU - Sitch, Stephen
AU - Gu, Xihui
AU - Nabel, Julia E.M.S.
AU - Lombardozzi, Danica
AU - Luo, Ming
AU - Feng, Xingyu
AU - Arneth, Almut
AU - Jain, Atul K.
AU - Friedlingstein, Pierre
AU - Tian, Hanqin
AU - Poulter, Ben
AU - Kong, Dongdong
N1 - Funding Information:
We would like to thank the TRENDY modeling group for providing the dataset. Besides, we thank Daniel Goll (dsgoll123@gmail.com) for the suggestions and comments. This study was supported by the National Natural Science Foundation of China ( 42001042 ), Visiting Researcher Fund Program of the State Key Laboratory of Water Resources and Hydropower Engineering Science ( 2020SWG02 ), Opening funding of the State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment , CAS ( SKLLQG2018 ), Opening funding of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute ( U2020nkms01 ), Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) ( CUG2106351 ), China Postdoctoral Science Foundation ( BX20190301 ), National Natural Science Foundation of China ( U1911205 , 41901041 , 41871029 ), Research Grants Council (RGC) of the Hong Kong Special Administrative Region, China (Project No. HKBU12302518 ), and the Pearl River Talent Recruitment Program of Guangdong Province, China ( 2017GC010634 ). The authors declare that they have no conflicts of interest. The data supporting the conclusions of this study can be obtained from the website listed in Section 2 .
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/12/15
Y1 - 2021/12/15
N2 - 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.
AB - 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.
KW - Budyko
KW - Climate change
KW - Detection and attribution
KW - Evapotranspiration
KW - Land use change
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U2 - 10.1016/j.agrformet.2021.108663
DO - 10.1016/j.agrformet.2021.108663
M3 - Article
AN - SCOPUS:85116704097
SN - 0168-1923
VL - 311
JO - Agricultural and Forest Meteorology
JF - Agricultural and Forest Meteorology
M1 - 108663
ER -