中国陆地生态系统年实际蒸散量的空间格局及其影响因素（英文）

编号 zgly0001584530

文献类型 期刊论文

文献题名 中国陆地生态系统年实际蒸散量的空间格局及其影响因素（英文）

作者 郑涵  于贵瑞  王秋凤  朱先进  何洪林  王艳芬  张军辉  李英年  赵亮  赵风华  石培礼  王辉民  闫俊华  张一平 

作者单位 SynthesisResearchCenterofChineseEcosystemResearchNetwork  KeyLaboratoryofEcosystemNetworkObservationandModeling  InstituteofGeographicSciencesandNaturalResourcesResearch  CAS  StateKeyLaboratoryofLoessandQuaternaryGeology  Inst 

母体文献 Journal of Geographical Sciences 

年卷期 2016年10期

年份 2016 

分类号 P426.2 

关键词 evapotranspiration  waterbudget  spatialvariation  eddycovariance  terrestrialecosystem  ChinaFLUX 

文摘内容 Understanding the spatial variation in annual actual evapotranspiration(AET) and its influencing factors is crucial for a better understanding of hydrological processes and water resources management. By synthesizing ecosystem-level observations of eddy-covariance flux sites in China(a total of 61 sites), we constructed the most complete AET dataset in China up to now. Based on this dataset, we quantified the statistic characteristics of AET and water budgets(defined as the ratio of AET to annual mean precipitation(MAP), AET/MAP) of terrestrial ecosystems in China. Results showed that AET differed significantly among both different vegetation types and climate types in China, with overall mean AET of 534.7±232.8 mm yr-1. AET/MAP also differed significantly among different climate types, but there were no distinct differences in AET/MAP values across vegetation types, with mean AET/MAP of 0.82±0.28 for non-irrigated ecosystems. We further investigated how the main climatic factors and vegetation attributes control the spatial variation in AET. Our findings revealed that the spatial variation of AET in China was closely correlated with the geographical patterns of climate and vegetation, in which the effects of total annual net radiation(Rn), MAP and mean annual air temperature(MAT) were dominant. Thus, we proposed an empirical equation to describe the spatial patterns of AET in China, which could explain about 84% of the spatial variation in AET of terrestrial ecosystems in China. Based on the constructed dataset, we also evaluated the uncertainties of five published global evapotranspiration products in simulatingsite-specific AET in China. Results showed that large biases in site-specific AET values existed for all five global evapotranspiration products, which indicated that it is necessary to involve more observation data of China in their parameterization or validation, while our AET dataset would provide a data source for it.