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This study employed the InVEST model and various statistical methods to explore the spatiotemporal variations and the underlying mechanisms affecting carbon storage in the Poyang Lake Basin (PYLB) from 2000 to 2020. The results revealed that 93.29% of the PYLB exhibited a decline in carbon stock, with a distinct spatial pattern of “high in the south and low in the north, as well as high around the periphery and low in the central region.” Climatic factors and human activities primarily negatively impact carbon storage, with the degree of influence being more pronounced in the northern regions than the southern ones. Meanwhile, soil moisture, elevation, and NDVI all contribute positively to carbon storage, with their influence gradually diminishing from the water system towards its surroundings. The overall impact of topography, soil, and NDVI on carbon storage was significant, with coefficients of 0.570, 0.153, and 0.269, respectively. In contrast, climate and human activities had adverse effects, with negative coefficients of −0.119 and −0.092, respectively.

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Spatiotemporal Pattern and Drivers of Carbon Storage from 2000 to 2020 in the Poyang Lake Basin, China

  • 会议论文

  • 发表日期：

    2025年

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  • Yitong Chen,
  • Hua Zhu

摘要

This study employed the InVEST model and various statistical methods to explore the spatiotemporal variations and the underlying mechanisms affecting carbon storage in the Poyang Lake Basin (PYLB) from 2000 to 2020. The results revealed that 93.29% of the PYLB exhibited a decline in carbon stock, with a distinct spatial pattern of “high in the south and low in the north, as well as high around the periphery and low in the central region.” Climatic factors and human activities primarily negatively impact carbon storage, with the degree of influence being more pronounced in the northern regions than the southern ones. Meanwhile, soil moisture, elevation, and NDVI all contribute positively to carbon storage, with their influence gradually diminishing from the water system towards its surroundings. The overall impact of topography, soil, and NDVI on carbon storage was significant, with coefficients of 0.570, 0.153, and 0.269, respectively. In contrast, climate and human activities had adverse effects, with negative coefficients of −0.119 and −0.092, respectively.