文献类型：期刊文献

英文题名：Spatio-temporal patterns of evaporative fraction in vegetation ecosystem based on remote sensing data and its responses to climatic factors in China

作者：Qiu, Kuanbiao[1] Jia, Baoquan[2,3,4] Zhang, Zhiqiang[1]

第一作者：Qiu, Kuanbiao

通信作者：Zhang, Zhiqiang

机构：[1] Key Laboratory of Soil and Water Conservation and Desertification Combating, College of Soil and Water Conservation, Beijing Forestry University, Beijing, 100083, China; [2] Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China; [3] Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing, 100091, China; [4] Research Centre of Urban Forestry, State Forestry Administration, Beijing, 100091, China

年份：2015

卷号：31

期号：19

起止页码：151-158

外文期刊名：Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

收录：EI(收录号：20154501494380);Scopus(收录号：2-s2.0-84945903294)

语种：英文

外文关键词：Climate change - Climate models - Coastal zones - Evapotranspiration - Forestry - Moisture - Radiometers - Remote sensing - Solar radiation - Vegetation

摘要：Evaporative fraction (EF) is an important parameter to estimate evapotranspiration (ET) for regional ecosystem, and also an indicator to evaluate the moisture status of the terrestrial ecosystem. Based on the climate data in China and moderate-resolution imaging spectroradiometer (MODIS) products such as MOD11B3, MOD13A3 and MOD12, this manuscript focused on the monthly mean EF estimation using the Priestley-Taylor model and EF validation using the ground-based eddy measurement data, analyzed the spatio-temporal patterns of monthly mean EF and evaluated its responses to the climate factors in the vegetated region in China, in order to obtain the seasonal change characteristics of EF and its sensitivity to climate. Results showed that monthly mean EF dynamics in the vegetation ecosystems had significant seasonal change characteristics. During the whole year, vegetation ecosystem in South China had a higher value than those in other regions in China. In spring, monthly mean EF increased in the south of Yangtze River and Sichuan Basin. And then the regions with high EF value expanded to the North China Plain and the Northeast China in summer. In autumn, the regions with high EF value shrank, and the distribution of monthly mean EF was similar to that in spring. The correlations between the spatial distribution of EF and climate factors showed seasonal variability. In spring and autumn, the EF was significantly correlated (P ?, 2015, Chinese Society of Agricultural Engineering. All right reserved.