Spatial and Temporal Evolution Assessment of Landscape Ecological Resilience Based on Adaptive Cycling in Changsha–Zhuzhou–Xiangtan Urban Agglomeration, China DOI Creative Commons

H Q Peng,

H. C. Lou,

Yifan Liu

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 709 - 709

Опубликована: Март 26, 2025

Urban agglomeration ecosystems are impacted by human activities and natural disasters, so analyzing the spatial temporal evolution of landscape ecological resilience from perspective adaptive cycling is crucial. Using Changsha–Zhuzhou–Xiangtan urban in China as a case study, this research constructs “Risk-Potential-Connectivity” framework to evaluate resilience. This applies exploratory data analysis methods examine spatiotemporal associated patterns Geodetector model measure driving factors variation. study an cycle based on analysis, integrating potential connectivity indices classify development stages regions dynamically. The results showed that overall distribution pattern risk decreased center outward, whereas increased. average index 2000 2020 was 0.31, with declining trend shifting gravity northwest southeast. toughness exhibited high low aggregation, Moran greater than 0.75. Land-use intensity had strongest explanatory power (q = 0.3662) for differentiation drivers joint effects factor interaction higher single factors. Adaptive revealed Furong District protection stage, Xiangtan County Liling City reorganization no region yet release stage. findings offer better understanding interactive adaptation characteristics evolutionary social-ecological systems over extended periods, providing scientific support formulation strategies respond dynamic changes ecosystems.

Язык: Английский

Spatial and Temporal Evolution Assessment of Landscape Ecological Resilience Based on Adaptive Cycling in Changsha–Zhuzhou–Xiangtan Urban Agglomeration, China DOI Creative Commons

H Q Peng,

H. C. Lou,

Yifan Liu

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 709 - 709

Опубликована: Март 26, 2025

Urban agglomeration ecosystems are impacted by human activities and natural disasters, so analyzing the spatial temporal evolution of landscape ecological resilience from perspective adaptive cycling is crucial. Using Changsha–Zhuzhou–Xiangtan urban in China as a case study, this research constructs “Risk-Potential-Connectivity” framework to evaluate resilience. This applies exploratory data analysis methods examine spatiotemporal associated patterns Geodetector model measure driving factors variation. study an cycle based on analysis, integrating potential connectivity indices classify development stages regions dynamically. The results showed that overall distribution pattern risk decreased center outward, whereas increased. average index 2000 2020 was 0.31, with declining trend shifting gravity northwest southeast. toughness exhibited high low aggregation, Moran greater than 0.75. Land-use intensity had strongest explanatory power (q = 0.3662) for differentiation drivers joint effects factor interaction higher single factors. Adaptive revealed Furong District protection stage, Xiangtan County Liling City reorganization no region yet release stage. findings offer better understanding interactive adaptation characteristics evolutionary social-ecological systems over extended periods, providing scientific support formulation strategies respond dynamic changes ecosystems.

Язык: Английский

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