| Title | Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years |
| Authors | Li, Xiangyi He, Yue Zeng, Zhenzhong Lian, Xu Wang, Xuhui Du, Mingyuan Jia, Gensuo Li, Yingnian Ma, Yaoming Tang, Yanhong Wang, Weizhen Wu, Zhixiang Yan, Junhua Yao, Yitong Ciais, Philippe Zhang, Xianzhou Zhang, Yiping Zhang, Yu Zhou, Guangsheng Piao, Shilong |
| Affiliation | Peking Univ, Coll Urban & Environm Sci, Sinofrench Inst Earth Syst Sci, Beijing 100871, Peoples R China. UVSQ, CNRS, CEA, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France. Natl Agr & Food Res Org, Inst Agroenvironm Sci, Tsukuba, Ibaraki 3058604, Japan. Chinese Acad Sci, Inst Atmospher Phys, CAS Key Lab Reg Climate Environm Temp East Asia, Beijing 100029, Peoples R China. Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Xining 810008, Qinghai, Peoples R China. Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing 100085, Peoples R China. Chinese Acad Sci, Ctr Excellence Tibetan Earth Sci, Beijing 100085, Peoples R China. Peking Univ, Coll Urbanand Environm Sci, Dept Ecol, Beijing 100871, Peoples R China. Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Gansu, Peoples R China. Chinese Acad Trop Agr Sci, Rubber Res Inst, Danzhou 571737, Peoples R China. Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China. Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China. Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Mengla 666303, Yunnan, Peoples R China. Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China. Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China. |
| Keywords | China Eddy covariance Evapotranspiration Model tree ensemble (MTE) Spatio-temporal change Land surface model LAND EVAPOTRANSPIRATION GLOBAL EVAPOTRANSPIRATION WORLDWIDE ANALYSIS SOIL EVAPORATION CLIMATE-CHANGE WATER MODEL CARBON FLUXES ENERGY |
| Issue Date | 2018 |
| Publisher | AGRICULTURAL AND FOREST METEOROLOGY |
| Citation | AGRICULTURAL AND FOREST METEOROLOGY. 2018, 259, 131-140. |
| Abstract | Evapotranspiration (ET) is one of the most important fluxes in terrestrial ecosystems that regulate atmosphere -hydrosphere-biosphere interactions. Several studies have suggested that global ET has significantly increased in the past several decades, and that such increase has exhibited big spatial variability, but there are few detailed studies on the spatio-temporal change in ET over China. Here, we developed a high-resolution data oriented monthly ET product in China between 1982 and 2015 by integrating remote-sensing and the eddy covariance technique observed ET data in a machine learning approach (model tree ensemble, MTE). We showed that the mean annual ET over China is 552 +/- 14 nun yr(-1), which is comparable to the estimate from a MTE-derived product based on water balance, but is larger than that from both previous MTh-derived global product and process-based land surface models. ET in China significantly increased with a rate of 10.7 mm yr(-1) per decade over the past 30 years (p < 0.05). The largest increases in ET ( > 60 mm yr(-1) per decade) occurred in the eastern periphery of Sichuan, southern Taiwan, and central China, which was attributed to the increases in temperature and solar radiation, as well as the enhanced vegetation productivity. About 22% of the area showed a decreasing trend in ET, mainly in parts of southeastern, southwestern, and northeastern China. The regional decrease in ET was likely due to decreasing precipitation and/or vegetation browning. Although our finding of the significant increase in China's ET at the country scale is supported by five different ET products, there are still less agreement on the change in ET at the regional scale among different ET products. |
| URI | http://hdl.handle.net/20.500.11897/517319 |
| ISSN | 0168-1923 |
| DOI | 10.1016/j.agrformet.2018.04.020 |
| Indexed | SCI(E) |
| Appears in Collections: | 城市与环境学院 |
