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    基于PLUS-InVEST模型的长株潭城市群碳储量时空演变及情景模拟

    The spatio-temporal evolution and scenario simulation of carbon storage in the Chang-Zhu-Tan urban agglomeration based on the PLUS-InVEST model

    • 摘要: 探讨长株潭城市群土地利用变化与生态系统碳储量的关系,并通过设计不同的发展情景,预测碳储量变化趋势,为提高区域碳储量提供科学支撑,助力“双碳”战略目标实现。耦合PLUS-InVEST模型,在分析研究区域2000—2020年期间土地利用变化的基础上,探讨其碳储量的时空演变特征,并结合14个驱动因子,预测在自然发展、耕地保护、经济发展、生态保护情景下,2040年土地利用和碳储量变化趋势。结果显示:1)长株潭城市群2000—2020年期间耕地、林地、草地呈现减少趋势,水体和建设用地呈增长趋势,未利用地变化趋势平稳。2)2000—2020年长株潭城市群总碳储量呈减少趋势,2000、2005、2010、2015和2020年总碳储量分别为394.7×106、393.5×106、390.1×106、388.1×106和385.9×106t,总体呈“东南高、西北低”的空间分布特征,林地为主要碳汇。3)土地利用变化直接影响碳储量,2000—2020年林地向建设用地转换减少5.6×106t的碳储量,耕地向建设用地转化减少3.0×106t的碳储量,耕地向林地转换增加了2×106t的碳储量。4)预测2040年,自然发展、耕地保护、经济发展和生态保护情景的碳储量均为减少趋势,分别为382×106t、382.5×106、381.7×106和382.7×106t。研究表明林地、耕地等高碳储地类向建设用地等低碳储地类转变是碳储量减少的主要原因,未来需优化国土空间规划布局,提高区域碳储量。

       

      Abstract: Background Quantitative assessment and prediction of spatiotemporal changes in land use and ecosystem carbon storage are crucial for enhancing regional carbon sequestration and achieving China's Dual Carbon goals. Current research on carbon storage in urban agglomerations remains limited. This study investigates how land-use/cover change (LUCC) affects ecosystem carbon storage in the Changsha-Zhuzhou-Xiangtan (CZT) urban agglomeration. Through scenario-based modeling of different development pathways, we predict future carbon storage trends to provide scientific support for regional carbon management, thereby contributing to the realization of China's Dual Carbon strategy. Methods This study couples the PLUS-InVEST model to analyze land-use changes (2000–2020) and associated carbon storage dynamics in the study area. Based on 14 driving factors, we project 2040 land-use patterns and carbon storage under four scenarios: Business-as-Usual, Cropland Protection, Economic Development, and Ecological Conservation. The results reveal how different land-use policies influence carbon sequestration, providing a scientific basis for optimizing territorial spatial planning to enhance regional carbon storage capacity. Results 1) From 2000 to 2020, Cultivated land, forest land, and grassland showed a decreasing trend, while water bodies and built-up areas exhibited an increasing trend. The trend of unused land remained stable in the Chang-Zhu-Tan urban agglomeration. 2) From 2000 to 2020, the total carbon storage in the Chang-Zhu-Tan urban agglomeration showed a decreasing trend. The total carbon storage in 2000, 2005, 2010, 2015, and 2020 were 394.7×106t, 393.5×106t, 390.1×106t, 388.1×106t, and 385.9×106t, respectively. The spatial heterogeneity was remarkably distinct, exhibiting a characteristic "high in the southeast and low in the northwest" distribution pattern, with Forest areas served as the primary carbon source while maintaining substantial carbon storage capacity. 3) Land use changes directly impacted carbon storage. From 2000 to 2020, the conversion of forest land to built-up land resulted in a decrease of 5.6×106t in carbon storage, while the conversion of cultivated land to built-up land led to a reduction of 3.0×106t in carbon storage. The conversion of cultivated land to forest land increased carbon storage by 2×106t. 4) The predictions for 2040 indicate a decreasing trend in carbon storage across all four scenarios, with values of 382×106t, 382.5×106t, 381.7×106t, and 382.7×106t, respectively. Conclusions The study demonstrates that the conversion of high-carbon storage land types (e.g., forestland and cropland) to low-carbon types (e.g., construction land) is the primary driver of carbon stock reduction. To enhance regional carbon sequestration, future territorial spatial planning should consider the four scenarios proposed in this study: Business-as-Usual, Cropland Protection, Economic Development, and Ecological Conservation. These scenarios provide a scientific basis for optimizing land-use allocation to mitigate carbon loss while balancing socioeconomic development and ecological preservation needs.

       

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