金华市近20年植被生态质量变化特征及空间分异驱动力分析

Analysis of characteristics of vegetation ecological quality changes in recent 20 years and driving forces of spatial variability in Jinhua City

摘要

【目的】探究金华市近20年来植被生态质量的时空变化特征，并分析其空间分布的驱动因素，以期为金华市植被生态系统动态变化研究及植被资源保护提供重要的理论支撑。【方法】基于气象卫星遥感数据，利用一元线性回归和地理探测器模型等方法，开展金华市近20年植被生态质量的分析研究。【结果】金华市植被生态质量近20年来持续向好发展。植被覆盖度显著增加，平均植被覆盖度由2003年56.3%增加至2022年65.4%;植被净初级生产力平均每年增加4.9 gC·m^-2;90%以上区域植被生态质量指数(VEQI)一直在持续向好发展。其中土地利用、高程、地貌类型和夜间灯光这四个因子对金华市VEQI空间分异的影响力较大，2020年夜间灯光的单因子解释最强，且与自然环境因子的交互作用解释力更强，同时夜间灯光和其他所有因素之间都存在显著差异。【结论】气候、地表和人类活动之间的相互作用以非线性方式影响植被生长，其中人类活动对VEQI空间分异格局具有显著影响力。

Abstract

[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.

关键词

生态 / 遥感 / 植被 / 地理探测器 / 影响因素

Key words

ecology / remote sensing / vegetation / geographical detector / influencing factors

基金资助

浙江省自然科学基金(LZJMZ23D050001)

浙江省“尖兵” “领雁” 研发攻关计划项目(2023C03190)

浙江省气象局科技计划项目(2021YB07)

浙江省气象局科技计划项目(2023ZDZL05)

浙江省气象局科技计划项目(2024ZD09)

金华市科学技术协会学术研究项目(2024-18)

国家自然科学基金(42305153)

中国气象局青年创新团队项目(CMA2023QN12)