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<p>Carbon stock and habitat quality are critical indicators of ecosystem health, particularly in alpine valleys like the Yanni Valley, which hold high ecological significance. This study employed the Patch-Generating Land Use Simulation (PLUS) model to predict land use changes in 2035 under three scenarios: natural development (ND), economic development (ED), and ecological protection (EP). The Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model was used to assess habitat quality and carbon storage based on 12 datasets, including Digital Elevation Model (DEM), Land Use and Land Cover Change (LUCC), Gross domestic product (GDP), soil, and socio-economic data. An integrated ecological quality index was developed using weighted habitat quality and carbon stock. Results showed: (1) The PLUS and InVEST models effectively simulated land use and ecological changes, ensuring reliable outcomes; (2) From 2000 to 2020, forest loss and the expansion of grassland, cropland, and construction land led to a rise and then decline in habitat quality and carbon stock; (3) High-quality habitats and carbon stock were concentrated in forest and grassland areas, with forest degradation being the main driver of ecological decline; (4) Over 75% of the region was classified as medium to high ecological quality, indicating overall stability These findings highlight the current ecological condition of the Yanni Valley and provide guidance for sustainable development and protection in similar alpine regions.</p>

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Spatiotemporal analysis of habitat quality and carbon storage in the Yanni Valley, Southwest China

  • 期刊论文

  • 发表日期：

    2025年12月8日

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  • Jinkai Gu,
  • Xingle Qu,
  • Wanchi Li,
  • Shengjian Xiang,
  • Qingwan Li,
  • Shunbin Wang,
  • Guoyong Tang

摘要

Carbon stock and habitat quality are critical indicators of ecosystem health, particularly in alpine valleys like the Yanni Valley, which hold high ecological significance. This study employed the Patch-Generating Land Use Simulation (PLUS) model to predict land use changes in 2035 under three scenarios: natural development (ND), economic development (ED), and ecological protection (EP). The Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model was used to assess habitat quality and carbon storage based on 12 datasets, including Digital Elevation Model (DEM), Land Use and Land Cover Change (LUCC), Gross domestic product (GDP), soil, and socio-economic data. An integrated ecological quality index was developed using weighted habitat quality and carbon stock. Results showed: (1) The PLUS and InVEST models effectively simulated land use and ecological changes, ensuring reliable outcomes; (2) From 2000 to 2020, forest loss and the expansion of grassland, cropland, and construction land led to a rise and then decline in habitat quality and carbon stock; (3) High-quality habitats and carbon stock were concentrated in forest and grassland areas, with forest degradation being the main driver of ecological decline; (4) Over 75% of the region was classified as medium to high ecological quality, indicating overall stability These findings highlight the current ecological condition of the Yanni Valley and provide guidance for sustainable development and protection in similar alpine regions.