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

Jianyu Liu; Yuanyuan You; Jianfeng Li; Stephen Sitch; Xihui Gu; Julia E.M.S. Nabel; Danica Lombardozzi; Ming  Luo; Xingyu Feng; Almut Arneth; Atul K. Jain; Pierre Friedlingstein; Hanqin  Tian; Ben Poulter; Dongdong Kong

doi:10.1016/j.agrformet.2021.108663

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

Jianyu Liu, Yuanyuan You, Jianfeng Li, Stephen Sitch, Xihui Gu^*, Julia E.M.S. Nabel, Danica Lombardozzi, Ming Luo, Xingyu Feng, Almut Arneth, Atul K. Jain, Pierre Friedlingstein, Hanqin Tian, Ben Poulter, Dongdong Kong^*

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › peer-review

86 Citations (Scopus)

Abstract

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.

Original language	English
Article number	108663
Journal	Agricultural and Forest Meteorology
Volume	311
Early online date	8 Oct 2021
DOIs	https://doi.org/10.1016/j.agrformet.2021.108663
Publication status	Published - Dec 2021

User-Defined Keywords

Evapotranspiration
Detection and attribution
Land use change
Climate change
Budyko

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.agrformet.2021.108663

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Liu, J., You, Y., Li, J., Sitch, S., Gu, X., E.M.S. Nabel, J., Lombardozzi, D., Luo, M., Feng, X., Arneth, A., K. Jain, A., Friedlingstein, P., Tian, H., Poulter, B., & Kong, D. (2021). Response of global land evapotranspiration to climate change, elevated CO2, and land use change. Agricultural and Forest Meteorology, 311, Article 108663. https://doi.org/10.1016/j.agrformet.2021.108663

@article{e13f6210238c4166af70128d5e7e07d6,

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

abstract = "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.",

keywords = "Evapotranspiration, Detection and attribution, Land use change, Climate change, Budyko",

author = "Jianyu Liu and Yuanyuan You and Jianfeng Li and Stephen Sitch and Xihui Gu and {E.M.S. Nabel}, Julia and Danica Lombardozzi and Ming Luo and Xingyu Feng and Almut Arneth and {K. Jain}, Atul and Pierre Friedlingstein and Hanqin Tian and Ben Poulter and Dongdong Kong",

note = "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 ).",

year = "2021",

month = dec,

doi = "10.1016/j.agrformet.2021.108663",

language = "English",

volume = "311",

journal = "Agricultural and Forest Meteorology",

issn = "0168-1923",

publisher = "Elsevier B.V.",

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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 - E.M.S. Nabel, Julia

AU - Lombardozzi, Danica

AU - Luo, Ming

AU - Feng, Xingyu

AU - Arneth, Almut

AU - K. Jain, Atul

AU - Friedlingstein, Pierre

AU - Tian, Hanqin

AU - Poulter, Ben

AU - Kong, Dongdong

N1 - 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 ).

PY - 2021/12

Y1 - 2021/12

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 - Evapotranspiration

KW - Detection and attribution

KW - Land use change

KW - Climate change

KW - Budyko

U2 - 10.1016/j.agrformet.2021.108663

DO - 10.1016/j.agrformet.2021.108663

M3 - Journal article

SN - 0168-1923

VL - 311

JO - Agricultural and Forest Meteorology

JF - Agricultural and Forest Meteorology

M1 - 108663

ER -

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

Abstract

User-Defined Keywords

UN SDGs

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