基于气候修正与模型集成的农牧交错带碳储量时空动态及多情景模拟
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1.水利部牧区水利科学研究所;2.内蒙古自治区地质调查研究院

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内蒙古科技计划项目(2025YFHH0185);内蒙古自然基金项目(2025MS05130);国家自然科学基金面上项目(52179019)


Carbon storage spatiotemporal dynamic and multi scenario simulation in an agropastoral ecotones based on climatic correction and integrated modeling
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    摘要:

    [目的]农牧交错带作为重要的生态屏障区和农畜产品供给区,揭示其碳储量动态变化及未来发展趋势,对服务区域“双碳”目标和国土空间规划具有理论和实践意义。[方法]以内蒙古塔布农牧交错带为对象,引入降水和气温因子对碳密度进行年际动态修正,基于2000—2025年时间序列的土地利用、气候环境与社会经济数据,集成应用PLUS-InVEST-OPGD模型,辨析碳储量时空动态变化与驱动因子,并模拟2030年多种情景下的碳汇格局。[结果]①2000—2025年研究区多年平均碳储量为834.29×106 t,呈波动增加趋势(P>0.05,Cv=0.13);空间上呈稳定的南高北低梯度;中、低覆盖度草地与农田贡献碳储总量的82.8%;②土地利用类型(q=1.00)和植被指数(q=0.52)为核心驱动因子,GDP与人类足迹解释力持续增强,因子之间普遍呈双因子增强交互效应;③基于历史发展趋势,2030年惯性发展、社会经济发展、“三生”协同发展情景碳储量较基准年(2022年)分别增加101.52×106 t、121.97×106 t和152.91×106 t。[结论]中低覆盖度草地和农田是农牧交错带的主要碳库,区域碳储量空间分异是多维因素耦合的结果,且人类活动的影响持续增强。“三生”协同发展情景更符合农牧交错带生态屏障功能与农牧产品供给的双重需求。

    Abstract:

    [Objective] Agropastoral ecotones serve as crucial ecological shields and key supply areas for agricultural and livestock products, revealing the dynamics and future changes of carbon storage (CS) in these areas hold both theoretical and practical significance for achieving regional “Dual Carbon” goals and optimizing territorial spatial planning. [Methods] Taking the Tabu agropastoral ecotone in Inner Mongolia as the study area, the carbon density values were modified yearly based on precipitation and temperature. Based on long time-series land use and land cover (LULC), climatic, and socio-economic data from 2000 to 2025, the spatiotemporal dynamics and driving mechanisms of CS were analyzed by integrating the framework of PLUS–InVEST–OPGD models, and its spatial patterns under multiple scenarios in 2030 were simulated. [Results] ① From 2000 to 2025, the multi-year average CS in the study area was 834.29×106, exhibiting a fluctuating increase (P>0.05,Cv=0.13). Spatially, CS presented a stable gradient characterized by higher levels in the south and lower levels in the north. Moderate- and low-FVC grasslands and farmland contributed up to 82.8% of the regional CS. ② LULC(q=1.00) and the enhanced vegetation index (EVI, q=0.52) were the key factors driving CS dynamics, while the explanatory power of GDP and human footprint increased over time. Interactions among factors were predominantly characterized by bivariate enhancement. ③ Based on historical development trends, CS under inertial development, socio-economic development, and production-living-ecology coordinated development scenarios in 2030 increased by 101.52×106 t, 121.97×106 t and 152.91×106 t compared with the base year (2022). [Conclusion] Medium- and low-FVC grasslands and farmland are the primary carbon pools in the agropastoral ecotone. The spatial variance of regional CS results from the coupling of multi-dimensional factors, with the influence of human activities continuously strengthening. The production-living-ecology coordinated development scenario better satisfies the dual demands of maintaining ecological shield functions and ensuring the supply of agricultural and livestock products in agropastoral ecotones.

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  • 收稿日期:2025-12-29
  • 最后修改日期:2026-04-07
  • 录用日期:2026-04-08
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