Temporal and spatial responses of ecological resilience to climate change and human activities in the economic belt on the northern slope of the Tianshan Mountains, China

作     者：ZHANG Shubao LEI Jun TONG Yanjun ZHANG Xiaolei LU Danni FAN Liqin DUAN Zuliang ZHANG Shubao;LEI Jun;TONG Yanjun;ZHANG Xiaolei;LU Danni;FAN Liqin;DUAN Zuliang

作者机构：State Key Laboratory of Desert and Oasis Ecology/Key Laboratory of Ecological Safety and Sustainable Development in Arid LandsXinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China University of Chinese Academy of SciencesBeijing 100049China Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China 

出 版 物：《Journal of Arid Land》 (干旱区科学（英文版）)

年 卷 期：2023年第15卷第10期

页      面：1245-1268页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 09[农学] 0903[农学-农业资源与环境] 0706[理学-大气科学] 0713[理学-生态学] 

基　　金：supported by the Third Xinjiang Scientific Expedition Program (2021xjkk0905) 

主　　题：ecological resilience ecosystem habitat quality ecosystem landscape stability ecosystem service value spatial autocorrelation analysis geographically weighted regression model economic belt on the northern slope of the Tianshan Mountains 

摘      要：In the Anthropocene era,human activities have become increasingly complex and *** natural ecosystems need higher ecological resilience to ensure regional sustainable development due to rapid urbanization and industrialization as well as other intensified human activities,especially in arid and semi-arid *** the study,we chose the economic belt on the northern slope of the Tianshan Mountains(EBNSTM)in Xinjiang Uygur Autonomous Region of China as a case *** collecting geographic data and statistical data from 2010 and 2020,we constructed an ecological resilience assessment model based on the ecosystem habitat quality(EHQ),ecosystem landscape stability(ELS),and ecosystem service value(ESV).Further,we analyzed the temporal and spatial variation characteristics of ecological resilience in the EBNSTM from 2010 to 2020 by spatial autocorrelation analysis,and explored its responses to climate change and human activities using the geographically weighted regression(GWR)*** results showed that the ecological resilience of the EBNSTM was at a low level and increased from 0.2732 to 0.2773 during 2010–*** spatial autocorrelation analysis of ecological resilience exhibited a spatial heterogeneity characteristic ofhigh in the western region and low in the eastern region,and the spatial clustering trend was enhanced during the study ***,Gobi and rapidly urbanized areas showed low level of ecological resilience,and oasis and mountain areas exhibited high level of ecological *** factors had an important impact on ecological ***,average annual temperature and annual precipitation were the key climate factors that improved ecological resilience,while average annual evapotranspiration was the main factor that blocked ecological *** the human activity factors,the distance from the main road showed a negative correlation with ecological *** night light index and PM2.5 concentration wer