Spatiotemporal variation and driving factors of water yield services on the Qingzang Plateau

作     者：Xiaofeng Wang Bingyang Chu Xiaoming Feng Yuehao Li Bojie Fu Shirong Liu Jiming Jin Xiaofeng Wang;Bingyang Chu;Xiaoming Feng;Yuehao Li;Bojie Fu;Shirong Liu;Jiming Jin

作者机构：College of Land EngineeringChang’an UniversityXi’an 710054China Shaanxi Provincial Key Laboratory of Land EngineeringXi’an 710054China National key laboratory of urban and regional ecologyChinese academy of sciencesBeijing 100085China Institute of land surface system science and sustainable developmentBeijing normal universityBeijing 100875China Key Laboratory of Forest Ecology and EnvironmentChina’s National Forestry and Grassland AdministrationInstitute of Forest EcologyEnvironment and ProtectionChinese Academy of ForestryNo.2 DongxiaofuHaidian DistrictBeijing 100091China Department of Watershed SciencesUtah State UniversityLoganUT 84322USA 

出 版 物：《Geography and Sustainability》 (地理学与可持续性（英文）)

年 卷 期：2021年第2卷第1期

页      面：31-39页

学科分类：120301[管理学-农业经济管理] 12[管理学] 1203[管理学-农林经济管理] 

基　　金：supported by The Second Tibetan Plateau Scientific Expedition and Research(Grant No.2019QZKK0405) the Chinese Academy of Sciences through the Strategic Pilot Science and Technology Special Project(Category A)(Grant No.XDA2002040201) the Shaanxi Provincial Key Laboratory of Land Management Open Fund(Grant No.2018-ZD01) 

主　　题：Qingzang Plateau Water yield GWR models 

摘      要：Water resources are a basic need for social sustainable development and human *** an important national strategy for water resources security,spatial and temporal patterns and driving mechanisms of water yield ecosystem services on the Qingzang Plateau(QP)are critical for water resources management,optimal water allocation and the improvement of ecological water protection ***,only a few relevant studies are currently *** this study,we simulated the water yield(WY)of the QP over 34 years,from 1982 to 2015,using the InVEST model and analyzed the spatiotemporal dynamic relationships between WY and climate change as well as between WY and vegetation change,using geographically weighted regression(GWR)*** results showed that:1)from 1982 to 2015,the WY of the QP increased at an average rate of 3.8 mm/yr;2)WY presented a reduced spatial pattern from southeast to northwest;and 3)the WY driving factors have individual and spatial *** terms of the area percentage in promoting WY when analyzing each driving factor,precipitation(99.8%)and air pressure(53.3%)played the major roles in promoting WY,while temperature(71.9%),wind speed(57.2%),net primary productivity(87.2%),radiation(68.3%)and lake(87.7%)played negative *** areas where WY are dominated by temperature are the largest(41.1%),and followed by areas dominated by pressure(19.7%)and precipitation(18.5%).The results of this study provide scientific support for formulating regional water resources policy,social and economic development planning and other macro decisions for the QP.