Spatiotemporal Evolution of NPP and Its Influencing Factors in Kunming City Based on the OPGD Model

• Published in: Shui tu bao chi xue bao Vol. 39; no. 2; pp. 298 - 308
• Main Authors: ZHANG Zhongzhi, ZHAO Junsan, CHEN Guoping, WANG Lin, LIN Yilin, ZHANG Dandan
• Format: Journal Article
• Language: Chinese
• Published: Editorial Department of Journal of Soil and Water Conservation 01.04.2025
• Subjects: bivariate spatial autocorrelation; kernel normalized difference vegetation index (kndvi); kunming city; net primary productivity of vegetation; optimal parameters-based geographical detectors model (opgd)
• ISSN: 1009-2242
• DOI: 10.13870/j.cnki.stbcxb.2025.02.024

［Objective］ Clarifying the changes in net primary productivity (NPP) and the driving factors is of great significance to measure the carbon sequestration capacity of vegetation and support carbon sink trading. ［Methods］ Net primary productivity data were obtained based on MODIS-NPP data, and combining the Theil-Sen Median trend analysis, Mann-Kendall test, and the characteristics of spatiotemporal variation of NPP in Kunming from 2001 to 2020 were revealed. The optimal parameters-based geographical detectors (OPGD) model was adopted to explore the fluencing mechanisms of climate, topography and anthropogenic factors on NPP. ［Results］ 1) The annual mean distribution of vegetation NPP in Kunming City was spatially and temporally heterogeneous, with a distribution pattern higher in the west and lower in the east, and increased significantly at an average annual growth rate of 7.08 g/(m2·a) (C-based). 2) The fragmentation degree of the vegetation landscape increased; the fragmentation degree was mismatched with v