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| DOI：10.13522/j.cnki.ggps.2025200 |
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| Modelling the spatiotemporal dynamics and driving factors of habitat quality of typical resource-based cities in the Yangtze River Belt |
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KOU Jiefeng, HUANG Xiaolong, ZHOU Zheng, SUN Tingting, DAI Xiaoying, YANG Chao
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1. Changjiang Basin Ecology and Environment Monitoring and Scientific Research Center, Changjiang Basin Ecology and Environment Administration, Ministry of Ecology and Environment, Wuhan 430010, China;
2. Hubei Key Laboratory of Intelligent Monitoring, Early Warning and Protection for Basin Aquatic Ecology, Wuhan 430010, China
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| Abstract: |
| 【Objective】Habitat quality is a critical indicator of ecological security and a guide for sustainable urban development, particularly in resource-based cities. Using Tongling City, a representative resource-based city in the Yangtze River Economic Belt, as a case study, this paper investigates the spatiotemporal variation of habitat quality, identifies its key determinants. 【Method】 Land-use data from 2000 to 2020 were analyzed to assess the spatiotemporal evolution of habitat quality. The InVEST model was employed for quantitative assessment, while geodetector was applied to identify and evaluate the driving factors influencing habitat quality changes. 【Result】① From 2000 to 2020, the average habitat quality index ranged from 0.266 to 0.311, indicating a fragile ecological status. Habitat quality showed a gradual decline, with low-quality areas concentrated in central and northwestern regions, and high-quality areas mainly in the western and southeastern regions. ② The annual average rate of habitat quality change ranged from -0.3 to 0.15. Approximately 75.19% of the region experienced significant degradation, particularly in central Tongguan District, eastern and southern Yi’an District, and most of Zongyang County. Meanwhile, 12.91% of the area exhibited improvement, primarily along both sides of the Yangtze River and in southern Yi’an District and Zongyang County. ③ Elevation (DEM) was the most influential factor affecting habitat quality changes, followed by mean annual temperature, with DEM acting synergistically with precipitation, GDP, and population density. 【Conclusion】The gradual decline in habitat quality in Tongling City from 2000 to 2020 is driven by both natural and anthropogenic factors. Effective management of urban expansion and mineral resource exploitation, combined with ecological restoration and planned land-use strategies, is essential to support the city’s transition from a resource-dependent economy to sustainable green development. |
| Key words: habitat quality; InVEST model; geodetector; Tongling City |
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