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基于PLUS-InVEST模型的榆神府矿区生态系统碳储量时空演变及驱动机制研究

Spatiotemporal evolution and driving mechanisms of ecosystem carbon storage in the Yushenfu Mining Area based on the PLUS-InVEST model

  • 摘要: 矿区土地利用结构的持续演变对区域生态系统碳储量变化具有显著影响, 量化煤炭开发区不同发展情景下土地利用转型对碳储量的响应机制, 对于实现能源基地生态恢复与“碳达峰碳中和”目标具有重要意义。以榆神府矿区为研究对象, 基于1990—2021年遥感影像数据, 采用InVEST模型定量评估不同时期碳储量变化特征, 并通过PLUS模型模拟2035年在自然发展、耕地保护与生态保护3种情景下的土地利用分布, 结合地理探测器模型揭示碳储量空间分异的主导驱动因子及其交互机制。结果表明:①1990—2021年矿区土地利用格局显著变化, 建设用地持续扩张, 未利用地明显减少, 草地和林地面积增加使碳储量总体呈上升趋势; ②不同发展情景下碳储量响应显著, 生态保护情景碳储量增幅最大(13.94%), 耕地保护情景略有下降, 说明政策参数显式化在模拟中具有重要调控作用; ③碳储量空间分异受自然与人类双重驱动, 黄土区以人类活动强度为主导, 覆沙区受降水等自然因子约束。研究构建了“政策—情景—土地—碳储”链式耦合框架, 揭示了半干旱能源基地碳储量演变的自然—社会协同机制, 可为煤炭资源开发区生态修复、空间规划优化与区域碳管理提供科学支撑。

     

    Abstract: The continuous evolution of land use structure in mining areas exerts a significant impact on ecosystem carbon storage.Quantifying the response mechanisms of carbon storage to land-use transitions under different development scenarios in coal mining regions is essential for achieving ecological restoration of energy bases and the goals of "carbon peak and carbon neutrality".Taking the Yushenfu Mining Area as the study region, based on remote sensing image data from 1990 to 2021, the InVEST model was used to quantitatively evaluate the characteristics of carbon storage changes across different periods.The PLUS model was applied to simulate land-use patterns in 2035 under three development scenarios—natural development, farmland protection, and ecological protection—while the Geodetector model was used to identify the dominant driving factors and their interactions influencing the spatial heterogeneity of carbon storage.The results indicate that: (1) From 1990 to 2021, the land-use pattern in the mining area underwent significant changes.The continuous expansion of construction land and the notable reduction in unused land, coupled with the increase in grassland and forest area, contributed to an overall upward trend in carbon storage.(2) Carbon storage responses varied considerably under different development scenarios, with the ecological protection scenario showing the highest increase (13.94%), whereas the farmland protection scenario showed a slight decline, indicating that the explicit parameterization of policy constraints plays a key regulatory role in simulations.(3) The spatial differentiation of carbon storage was jointly driven by natural and anthropogenic factors.In loess regions, it is primarily dominated by the intensity of human activities, whereas in sand-covered areas, it is constrained by natural factors such as precipitation.The study constructed a "policy-scenario-land-carbon storage" chain-coupled framework, revealing the natural-social synergistic mechanisms driving the evolution of carbon storage in semi-arid energy bases.This provides scientific support for ecological restoration, spatial planning optimization, and regional carbon management in coal resource development areas.

     

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