摘要
在快速城市化建设的背景下,上海市碳储量动态演变对上海市实现“双碳”目标具有关键作用。本研究基于2000年、2010年和2020年土地利用数据,采用生态系统服务和权衡的综合评估(InVEST)模型分析碳储量时空演变特征,选用静态和动态驱动因子,结合最优参数地理探测器分析碳储量变化的驱动机制。结果显示:2000—2020年上海市碳储量呈现下降趋势,碳储量减少区域集中在郊环内及部分沿海区域,碳储量增加区域集中在崇明及临港部分片区;年均归一化植被指数(NDVI)和年均人口密度是碳储量变化最主要的影响因子,且二者的交互作用对碳储量变化解释力最强。本研究多维度挖掘了碳储量变化特征及驱动机制,为城市低碳发展及同类研究提供了一定的科学参考价值。
In the context of rapid urbanization,the dynamic evolution of carbon storage in Shanghai is essential for achieving carbon peaking and carbon neutrality goals.This study examined the spatiotemporal evolution characteristics of carbon stor⁃age by applying the integrated valuation of ecosystem services and trade-offs(InVEST)model to land use data from 2000,2010,and 2020.Through the integration of static and dynamic driving factors,the driving mechanisms behind carbon stor⁃age changes were analyzed,employing a geographical detector with optimized parameters.The results reveal a declining trend in Shanghai’s carbon storage from 2000 to 2020.Areas with reduced carbon storage are concentrated within the outer ring and some coastal areas,while areas with increased carbon storage are mainly found in Chongming Island and parts of the Lingang area.The annually averaged normalized difference vegetation index(NDVI)and the annually averaged population density are the main factors influencing variations in carbon storage.Moreover,the interaction between these two factors exhibits the strongest explanatory power for changes in carbon storage.This study conducts a multi-dimensional exploration of the characteristics and driving mechanisms of carbon storage changes,providing certain scientific reference value for urban low-carbon development and similar research.
作者
朱磊
ZHU Lei(Shanghai Surveying and Mapping Institute,Shanghai 200063,China)
出处
《北京测绘》
2025年第9期1287-1293,共7页
Beijing Surveying and Mapping
关键词
碳储量
时空演变
最优参数地理探测器
驱动因子
carbon storage
spatiotemporal evolution
geographical detector with optimized parameter
driving factor
