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<p>Habitat quality serves as a fundamental criterion of biodiversity, ecosystem services and human wellbeing. Currently, comprehensive research into what drives habitat quality change in resource-based cities (CRBCs) is still lacking. This study selects Jining, a representative coal-mining city in China to quantify its habitat quality changes during 2000–2020. Utilize optimal parameter geographic detector (OPGD) and Random Forest (RF) model to identify contributing forces and further explores the unique driving mechanism. The research shows that:(i) Between 2000 and 2020, the average habitat quality value in Jining experienced a decline, registering a fall from 0.214 to 0.197. The habitat quality within mining region was significantly lower than that of non-mining region, with 19.2% of habitats experiencing severe degradation. (ii) A defining feature observed was the conversion of cultivated areas to urban and water surfaces. Observed habitat quality decline is largely attributable to urban sprawl over cropland, whereas the creation of new water-covered areas from former farmland significantly boosted habitat quality across the region. (iii) Habitat quality in CRBCs resulted from the synergistic effects, with urbanization serving as the dominant driver. Natural factors account for 44.2% of the explanatory power in non-mining region, while mining activity factors reach a strongest explanatory power of 12.17% in mining region, also generating spillover effects across the entire city. This research offers valuable insights for habitat studies in urban areas marked by intensive mining activities and high population density.</p>

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Spatially explicit habitat quality from land use: dynamics, driving forces, and integrated modeling in Jining, a typical coal resource-based city of Eastern China

  • 期刊论文

  • 发表日期：

    2026年3月3日

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  • Mengze Wei,
  • Xiangyu Min,
  • Chenxing Liu,
  • Qianjiao Wang,
  • Yongsheng Wang

摘要

Habitat quality serves as a fundamental criterion of biodiversity, ecosystem services and human wellbeing. Currently, comprehensive research into what drives habitat quality change in resource-based cities (CRBCs) is still lacking. This study selects Jining, a representative coal-mining city in China to quantify its habitat quality changes during 2000–2020. Utilize optimal parameter geographic detector (OPGD) and Random Forest (RF) model to identify contributing forces and further explores the unique driving mechanism. The research shows that:(i) Between 2000 and 2020, the average habitat quality value in Jining experienced a decline, registering a fall from 0.214 to 0.197. The habitat quality within mining region was significantly lower than that of non-mining region, with 19.2% of habitats experiencing severe degradation. (ii) A defining feature observed was the conversion of cultivated areas to urban and water surfaces. Observed habitat quality decline is largely attributable to urban sprawl over cropland, whereas the creation of new water-covered areas from former farmland significantly boosted habitat quality across the region. (iii) Habitat quality in CRBCs resulted from the synergistic effects, with urbanization serving as the dominant driver. Natural factors account for 44.2% of the explanatory power in non-mining region, while mining activity factors reach a strongest explanatory power of 12.17% in mining region, also generating spillover effects across the entire city. This research offers valuable insights for habitat studies in urban areas marked by intensive mining activities and high population density.