[口头报告]Evaluation of ecological resilience and analysis of driving factors in the economic belt on the northern slope of the Tianshan Mountains
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[口头报告]Evaluation of ecological resilience and analysis of driving factors in the economic belt on the northern slope of the Tianshan Mountains

Evaluation of ecological resilience and analysis of driving factors in the economic belt on the northern slope of the Tianshan Mountains
编号:98 稿件编号:415 访问权限:仅限参会人 更新:2024-05-15 17:52:07 浏览:473次 口头报告

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摘要
As the research object of Tianshan North economic belt area, using the multiple evaluation model of ecological toughness evaluation, including ecological vulnerability evaluation based on Critic and AHP, using InVEST model for ecological health evaluation, using MSPA landscape connectivity evaluation, and then using the sequential polygon method of the study area in 2005-2020 ecological toughness multidimensional comprehensive assessment, using the moran index to explore the regional spatial and temporal differentiation characteristics, and finally using the geographical detector model driver analysis. The results show that: (1) from 2005 to 2020, the ecological toughness of the northern slope of Tianshan Mountains showed an overall upward trend, and there are obvious spatial heterogeneity, and the overall distribution pattern is high in the south and low in the north.(2) The main driving factors of the spatial heterogeneity in the Northern Slope of Tianshan Mountains are NPP, precipitation, NDVI, per capita GDP and other factors, indicating that its ecological resilience is closely related to the local natural environment, economic development and human activities.(3) Urban expansion and economic development are the main influencing factors of ecological resilience. The influence of human activities on ecological resilience is increasingly significant, and the enhancement of two factors is greater than that of non-linear factors among different factors.
 
关键字
The North Slope of the Tianshan Mountains Economic Belt;Ecological resilience;InVEST model;MSPA;Moran’s Ⅰ;Geographical detector
报告人
珂颀 李
学生 中国矿业大学

稿件作者
珂颀 李 中国矿业大学
庆武 闫 中国矿业大学
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