川滇生态屏障区碳储量时空演变及驱动因素研究

Study on spatiotemporal evolution and driving factors of carbon storage in the Sichuan-Yunnan ecological barrier region

  • 摘要: 土壤理化性质是碳储量的重要驱动因素,作为中国西南边境地区的关键生态屏障区,土壤理化性质对川滇生态屏障区碳储量的影响研究仍显不足。本研究耦合InVEST、OPGD-MGWR模型,分析川滇生态屏障区碳储量的时空演变格局及其空间异质性驱动因素。主要结果如下:2000-2020年,川滇生态屏障区碳储量整体降低,主要因低地河谷城市扩张和农业开发,但局部增长得益于森林扩张和退耕还林等生态工程。(2)NDVI、有机质含量和高程为主导因子,解释力超50%;多因子交互均为增强型,最强交互对为NDVI ∩ OC,揭示了生态-地形-土壤养分耦合机制的作用。(3)MGWR模型可较好分析不同驱动因子在川滇生态屏障区的空间异质性,表明土壤理化性质对碳储量分布和转移起到重要作用。本研究通过深入分析碳储量的时空变化及其驱动机制,为生态屏障区及类似区域的CS管理提供新型框架,结果对于缓解气候变化问题和促进生态保护具有重要意义。

     

    Abstract: Soil physicochemical properties are important driving factors of carbon storage. As a key ecological barrier area in China's southwestern border region, research on the impact of soil physicochemical properties on carbon storage in the Sichuan-Yunnan ecological barrier area remains insufficient. This study couples the InVEST and OPGD-MGWR models to analyze the spatiotemporal evolution patterns of carbon storage in the Sichuan-Yunnan ecological barrier area and the driving factors of its spatial heterogeneity. The main results are as follows: From 2000 to 2020, the overall carbon storage in the Sichuan-Yunnan ecological barrier area decreased, mainly due to urban expansion and agricultural development in lowland river valleys, but local increases benefited from forest expansion and ecological projects such as returning farmland to forests. (2) NDVI, OC, and DEM are the dominant factors, with explanatory power exceeding 50%; multi-factor interactions are all enhancement types, with the strongest interaction pair being NDVI ∩ OC, revealing the role of the ecology-terrain-soil nutrient coupling mechanism. (3) The MGWR model can effectively analyze the spatial heterogeneity of different driving factors in the Sichuan-Yunnan Ecological Barrier Zone, revealing that soil physicochemical properties play a significant role in the distribution and transfer of carbon storage. By deeply analyzing the spatiotemporal changes in carbon storage and its driving mechanisms, this study provides a new framework for CS management in ecological barrier areas and similar regions. The research results are of great significance for mitigating climate issues and promoting ecological protection.

     

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