文献类型：期刊文献

英文题名：Spatiotemporal variations in the ratio of transpiration to evapotranspiration and its controlling factors across terrestrial biomes

作者：Cao, Ruochen[1,2] Huang, Hui[3] Wu, Genan[4,5] Han, Daorui[1] Jiang, Zhiyun[1,6] Di, Kai[1] Hu, Zhongmin[1,7,8]

第一作者：Cao, Ruochen

通信作者：Hu, ZM[1];Hu, ZM[2];Hu, ZM[3]

机构：[1]South China Normal Univ, Sch Geog, Shipai Campus, Guangzhou 510631, Peoples R China;[2]Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, State Key Lab Tree Genet & Breeding, Key Lab Tree Breeding & Cultivat State Forestry Ad, Beijing, Peoples R China;[4]Acad Mil Med Sci, Ctr Assessment & Demonstrat Res, Beijing 100091, Peoples R China;[5]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;[6]Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China;[7]Hainan Univ, Coll Ecol & Environm, Haikou 570228, Peoples R China;[8]southern Marine Sci & Engn Guangdong Lab, Zhuhai 519082, Peoples R China

年份：2022

卷号：321

外文期刊名：AGRICULTURAL AND FOREST METEOROLOGY

收录：;Scopus(收录号：2-s2.0-85129695736);WOS:【SCI-EXPANDED(收录号:WOS:000806491800002)】；

基金：This research was jointly supported by the National Natural Science Foundation of China (Grant NO. 31922053) , National Key R & D Program of China (2017YFA0604801) , and the Talent Project of Hainan University (KYQD (ZR) 21096) . This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, China-Flux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, and USCCC. The ERA-Interim reanalysis data are provided by ECMWF and processed by LSCE. The FLUXNET eddy covariance data processing and harmonization was carried out by the European Fluxes Database Cluster, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of CDIAC and ICOS Ecosystem Thematic Center, and the OzFlux, ChinaFlux and AsiaFlux offices. In addition, the authors appreciated the constructive comments from anonymous reviewers to improve the quality of this article.

语种：英文

外文关键词：Evapotranspiration partitioning; Controlling factors; Spatiotemporal variation; Model comparison

摘要：Quantifying the ratio of transpiration (T) to evapotranspiration (ET), T/ET, is crucial for understanding and predicting the water cycle and energy balance between the land and atmosphere. Here, we used three well-validated ET partitioning models to estimate T/ET at global fluxnet sites. The models are the Shuttleworth-Wallace-Hu (SWH) model, the Priestley-Taylor Jet Propulsion Lab (PT-JPL) model, and the underlying water use efficiency (uWUE) method. SWH illustrated the most reliable estimate in both the magnitude and the across-site variability of T/ET among three models. Mean annual T/ET derived from SWH, PT-JPL, and uWUE were 0.61 +/- 0.14, 0.52 +/- 0.12 and 0.59 +/- 0.07, respectively. Leaf area index (LAI) was the key driver of spatial variations in T/ET across sites, as well as seasonal variations in T/ET in ecosystems in most climatic zones except for the tropical and arid regions. However, there were discrepancies in factors controlling inter-annual variations in T/ET among the models. SWH and PT-JPL showed that the inter-annual variation in T/ET was more related to LAI than climatic factors but an opposite result was found by uWUE due to the simple structure and less forcing data of uWUE. The findings of our research highlight the importance of capturing the controls of LAI on ET partitioning for predicting future water cycle with land models. We appeal for direct measurements of ET components at the flux tower sites for validating the models and reduce model uncertainties.