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基于intPLUS-InVEST-OPGD模型的澧水流域碳储量时空演变及驱动因素

The spatiotemporal evolution and driving factors of carbon storage in Lishui River Basin based on the intPLUS-InVEST-OPGD model

  • 摘要: 在“双碳”目标背景下,明晰澧水流域碳储量的时空演变特征及其驱动机制,对于提升区域生态系统固碳能力与优化国土空间格局具有重要意义。本文基于intPLUS–InVEST耦合模型,系统分析澧水流域2000—2020年碳储量的时空演变特征,并预测2040年不同发展情景下碳储量变化趋势,同时结合最优参数地理探测器(OPGD)识别其空间分异的关键驱动因素。结果表明:1)2000—2020年澧水流域土地利用结构发生明显调整,耕地与草地持续减少,而林地、水域及建设用地总体呈增加趋势;2)研究期内碳储量整体呈阶段性波动变化特征,表现为下降-上升-下降的演变过程,总体变化幅度较为有限;3)土地利用类型转化是碳储量变化的重要驱动因素,其中林地转出导致碳储量减少约5.20×106 t;4)情景模拟结果显示,相较于2020年,2040年自然发展、耕地保护、城镇发展与生态优先情景下碳储量分别减少约0.64×106 t、0.28×106 t、0.75×106 t和0.10×106 t,其中生态优先情景下降幅度最小;5)驱动因素分析表明,交通可达性与地形条件是影响碳储量空间分异的关键因素,其中距高速公路距离、坡度及距二级道路距离解释力较高,距三级道路距离与年均降水量的交互作用表现出显著的增强效应。研究表明,澧水流域碳储量变化主要源于高碳密度土地类型向低碳密度用地转化,未来应进一步强化流域生态保护与修复,优化土地利用结构与国土空间布局,以提升区域整体固碳增汇能力。

     

    Abstract: Under the background of China’s carbon peaking and carbon neutrality goals, clarifying the spatiotemporal evolution of carbon storage and its driving mechanisms in the Lishui River Basin is of great significance for enhancing regional carbon sequestration capacity and optimizing territorial spatial patterns. In this study, an integrated intPLUS-InVEST framework was employed to systematically analyze the spatiotemporal evolution of carbon storage in the Lishui River Basin from 2000 to 2020 and to predict future carbon storage under different development scenarios in 2040. Meanwhile, the Optimal Parameters-Based Geographical Detector (OPGD) was used to identify the key drivers of spatial differentiation in carbon storage. The results showed that: 1) significant changes occurred in land-use structure from 2000 to 2020, with continuous decreases in cropland and grassland, while forestland, water bodies, and built-up land generally increased; 2) carbon storage exhibited a fluctuating trend characterized by a decline-increase-decline pattern during the study period, although the overall magnitude of change was relatively small; 3) land-use conversion was an important driver of carbon storage change, with forestland conversion resulting in a carbon storage loss of approximately 5.20×106 t; 4) compared with 2020, carbon storage in 2040 was projected to decrease by approximately 0.64×106 t, 0.28×106 t, 0.75×106 t, and 0.10×106 t under the natural development, cropland protection, urban development, and ecological priority scenarios, respectively, with the ecological priority scenario exhibiting the smallest decline; and 5) transportation accessibility and topographic conditions were identified as the dominant factors affecting the spatial differentiation of carbon storage. Among them, the distance to highways, slope, and distance to secondary roads showed relatively high explanatory power, while the interaction between the distance to tertiary roads and annual precipitation exhibited a significant enhancement effect. The findings indicate that the decline in carbon storage in the Lishui River Basin is mainly attributed to the conversion of high-carbon-density land-use types into low-carbon-density land-use types. Therefore, strengthening ecological conservation and restoration, optimizing land-use structure and territorial spatial planning, and enhancing regional carbon sequestration capacity should be prioritized in future watershed management.

     

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