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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:
      目的 本研究聚焦长株潭城市群土地利用/覆被变化(LUCC)与生态系统碳储量之间的耦合关系。通过构建多种发展情景,预测未来碳储量变化趋势,以期为提升区域碳储量、助力实现我国“双碳”战略目标提供科学依据,为优化国土空间规划、提升区域碳储量提供支撑。
      方法 本研究耦合PLUS–InVEST模型,分析研究区2000—2020年土地利用变化及其引起的碳储量演变,结合14个驱动因子,设置自然发展、耕地保护、经济发展与生态保护四种情景,并预测2040年土地利用格局及碳储量变化,揭示不同土地利用政策对固碳能力的影响。
      结果 1)2000—2020年,耕地、林地与草地总体呈减少趋势,水域与建设用地呈增加趋势,未利用地变化相对稳定。2)2000—2020年,长株潭城市群总碳储量总体下降,2000、2005、2010、2015和2020年分别为394.7 × 106 、393.5 × 106 、390.1 × 106 、388.1 × 106 和385.9 × 106 t。碳储量空间异质性显著,呈现“东南高、西北低”的分布特征,其中林地为主要碳汇并保持较高的碳储能力。3)土地利用变化直接影响碳储量:2000—2020年林地转为建设用地导致碳储量减少5.6 × 106 t,耕地转为建设用地导致碳储量减少3.0 × 106 t;耕地转为林地使碳储量增加2 × 106 t。4)2040年预测结果显示4种情景下碳储量均呈下降趋势,分别为382 × 106 t、382.5 × 106 t、381.7 × 106 t和382.7 × 106 t。
      结论 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。为提升区域固碳能力,未来国土空间规划应综合考虑自然发展、耕地保护、经济发展与生态保护4种情景结果,在兼顾社会经济发展与生态保护需求的同时优化土地利用配置,为减缓碳损失提供科学依据。

       

      Abstract:
      Objective This study focuses on the coupled relationship between land-use/cover change (LUCC) and ecosystem carbon stock in the Changsha–Zhuzhou–Xiangtan urban agglomeration. By developing multiple development scenarios, we project future carbon stock trends, providing a scientific basis for enhancing regional carbon stocks and contributing to the achievement of China’s “Dual Carbon” strategic goals.
      Methods This study couples the PLUS-InVEST model to analyze land-use changes (2000–2020) and associated carbon stocks dynamics in the study area. Based on 14 driving factors, we project 2040 land-use patterns and carbon stocks under four scenarios: Natural development, 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, cropland, forestland, and grassland showed a decreasing trend, while waterbody 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 stocks in the Chang-Zhu-Tan urban agglomeration showed a decreasing trend. The total carbon stocks in 2000, 2005, 2010, 2015, and 2020 were 394.7 × 106 t, 393.5 × 106 t, 390.1 × 106 t, 388.1 × 106 t, and 385.9 × 106 t, respectively. The spatial heterogeneity was remarkably distinct, exhibiting a characteristic "high in the southeast and low in the northwest" distribution pattern, with forestland areas served as the primary carbon source while maintaining substantial carbon stoock capacity. 3) Land use changes directly impacted carbon stocks. From 2000 to 2020, the conversion of forestland to built-up land resulted in a decrease of 5.6 × 106 t in carbon stocks, while the conversion of cultivated land to built-up land led to a reduction of 3.0 × 106 t in carbon stocks. The conversion of cultivated land to forestland increased carbon stocks by 2 × 106 t. 4) The predictions for 2040 indicate a decreasing trend in carbon stocks across all four scenarios, with values of 382 × 106 t, 382.5 × 106 t, 381.7 × 106 t, and 382.7 × 106 t, 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 stocks reduction. To enhance regional carbon sequestration, future territorial spatial planning should consider the four scenarios proposed in this study: Natural development, 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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