Restoration of Ecological Connectivity in Zhaotong City Under the Interference of Human Activities

Bo Wen (), Chenxi Liu, Jingchao Cai, Jing Guo and Guoping Ren
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Bo Wen: College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
Chenxi Liu: College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
Jingchao Cai: China Construction First Group The Fifth Construction Co., Ltd., Beijing 100024, China
Jing Guo: China Construction First Group The Fifth Construction Co., Ltd., Beijing 100024, China
Guoping Ren: China Construction First Group The Fifth Construction Co., Ltd., Beijing 100024, China

Sustainability, 2025, vol. 17, issue 3, 1-20

Abstract: Plateau ecological vulnerability areas are experiencing substantial ecological challenges that threaten the integrity of ecological networks (ENs) due to irrational human activities, leading to habitat fragmentation and ecological connectivity degradation. The objectives of this study focus on understanding the structure, connectivity, and responses of ENs to construction land, crucial for maintaining ecological sustainability. Employing the circuit theory, the Minimum Cumulative Resistance (MCR) model, and complex network analysis methods, the ENs are constructed and the evolution characteristics are analyzed. The Geographically Weighted Regression (GWR) model is used to explore the correlation between construction land and ecological pinch points. The number of ecological corridors increased by 42, and the total length was reduced by 432.85 km, for a reduction of 15.25%. The proportion of highest-level ecological pinch points declined from 0.95% to 0.67%, indicating enhanced overall connectivity. Complex network analysis showed declining betweenness centrality in eight ecological sources over two periods, indicating reduced connectivity in partial northern and central regions. Correlation analysis showed the interaction of regional economic development policies and regional ecological restoration measures on the ecological networks. In areas with positive correlations, six ecological conservation areas were designated to maintain existing connectivity. In regions with negative correlations, seven ecological restoration areas were planned to improve ecological connectivity through scientific ecological restoration methods. This research provides a framework for optimizing regional ecological networks and enhancing ecological connectivity in plateau ecological vulnerability areas. It offers significant insights into the optimization of the ecological security pattern and practical guidance for policymakers and planners seeking to maintain ecological sustainability and resilience.

Keywords: ecological networks; circuit theory; complex network; InVEST model; ecological protection (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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