| 引用本文: | 寇杰锋,黄小龙,周 正,等.长江经济带典型资源型城市生境质量时空变化及影响因素分析[J].灌溉排水学报,2025,44(11):126-135. |
| KOU Jiefeng,HUANG Xiaolong,ZHOU Zheng,et al.长江经济带典型资源型城市生境质量时空变化及影响因素分析[J].灌溉排水学报,2025,44(11):126-135. |
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| 摘要: |
| 【目的】揭示铜陵市生境质量时空变化规律及影响因素，为长江经济带典型资源型城市生态环境保护和绿色高质量发展提供科技支撑。【方法】利用铜陵市2000、2005、2010、2015、2020年5期土地利用数据，借助InVEST模型定量分析生境质量的时空演变特征，结合地理探测器探究生境质量变化的主要影响因素。【结果】①2000—2020年铜陵市生境质量指数均值介于0.266~0.311，区域生境质量较脆弱；生境质量指数随时间推进呈逐渐降低的趋势，但其降幅逐渐减小。空间分布呈“中部-西北低、西部-东南高”的格局。②2000—2020年，铜陵市生境质量指数年均变化率介于-0.30~0.15，其中75.19%的区域生境质量显著退化，主要分布在铜官区中部、义安区东部和南部、郊区和枞阳县除去沿江及湖泊外的区域。12.91%区域的生境质量显著改善，主要集中在沿长江干流两侧，义安区南部和枞阳县也有零散分布。③对铜陵市2000—2020年生境质量影响最大的是DEM，其次是年均气温；此外DEM和年均降水量、GDP及人口密度对生境质量均表现为协同增强作用，共同对生境质量产生了显著影响。【结论】铜陵市生境质量逐渐降低，受自然因素和人为因素共同影响，应进一步加强城镇建设和矿产开发边界的管控，及时采取生态修复措施，并结合科学规划布局，实现由资源型城市向绿色发展型城市转变。 |
| 关键词: 生境质量；InVEST模型；地理探测器；铜陵市 |
| 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 |
