Analysis of characteristics of vegetation ecological quality changes in recent 20 years and driving forces of spatial variability in Jinhua City
Jiaqian FANG , Yuyue FAN , He FANG , Zhengquan LI , Shouhai SHI , Yanting YE , Furong HAN
Water Resources and Hydropower Engineering ›› 2025, Vol. 56 ›› Issue (6) : 51 -63.
[Objective] To explore the spatial and temporal variation characteristics of vegetation ecological quality in Jinhua City in the past 20 years, and to analyze the driving factors of its spatial distribution, in order to provide important theoretical support for the study of dynamic changes of vegetation ecosystem and the protection of vegetation resources in Jinhua City. [Methods] Based on meteorological satellite remote sensing data, the vegetation ecological quality of Jinhua City in the past 20 years was analyzed and studied by using linear regression and geographical detector. [Results] The vegetation ecological quality in Jinhua City has continued to improve over the past 20 years. The vegetation coverage has significantly increased, with the average vegetation coverage increasing from 56.3% in 2003 to 65.4% in 2022; The net primary productivity of vegetation has increased by an average of 4.9 gC·m-2 annually; More than 90% of the areas have shown continuous improvement in the Vegetation Ecological Quality Index(VEQI). The four factors of land use, elevation, landform type, and nighttime lighting have a significant impact on the spatial differentiation of VEQI in Jinhua City. The single-factor explanation of night lighting in 2020 is the strongest, and its interaction with natural environmental factors has a stronger explanatory power. Meanwhile, there are significant differences between night lighting and all other factors. [Conclusion] The interaction between climate, surface, and human activities affects vegetation growth in a nonlinear manner, and human activities have a significant impact on the spatial differentiation pattern of VEQI.
ecology / remote sensing / vegetation / geographical detector / influencing factors
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