Guo Jin, Wei Xiao-Jian, Zhang Fu-Qing, Cai Jin, Ding Yu-Bo
Jiangxi Key Laboratory of Watershed Ecological Process and Information, East China University of Technology, Nanchang 330013, China.
Nanchang Key Laboratory of Landscape Process and Territorial Spatial Ecological Restoration, East China University of Technology, Nanchang 330013, China.
Huan Jing Ke Xue. 2025 Jul 8;46(7):4545-4557. doi: 10.13227/j.hjkx.202406285.
The Yangtze River Middle Reaches Urban Agglomeration， is a crucial city cluster in central China and plays an important role in promoting urban biodiversity conservation and sustainable development through its ecosystem health. Based on multisource remote sensing data， a comprehensive "Vigor-Organization-Resilience" model was used to systematically evaluate urban ecosystem health. Further， the geographic convergence cross-mapping （GCCM） model was employed to identify key driving factors of ecosystem health and reveal the causal relationships between ecosystem health and its drivers. The study showed that： ① Over 20 years， the ecosystem health level of the Yangtze River Middle Reaches Urban Agglomeration improved， increasing from 0.784 in 2010 to 0.801 in 2020. The overall ecosystem health was better in the northeastern and western regions compared to that in the central and southern regions， with notable differentiation. ② Based on the GCCM model， human activities and ecosystem health had a relatively stable mutual influence， while the interaction between the natural environment and ecosystem health was unstable. For human landscape indicators， GDP and POP had consistent interaction directions with EH. For natural landscape indicators， TA， MAP， HLI， NDVI， and NPP had inconsistent interaction directions with EH. ③ The GCCM model ranked the driving forces as follows： normalized vegetation index > GDP > nighttime light index > annual precipitation > average annual temperature > population density > net primary productivity. The normalized vegetation index was the most important driving factor， with GDP， nighttime light index， annual precipitation， and average annual temperature being the main driving factors， while population density and net primary productivity contributed less to ecosystem health. This study analyzes the ecosystem functions and changes in the Yangtze River Middle Reaches Urban Agglomeration， providing a scientific basis for future ecosystem management， and has significant theoretical and practical implications for sustainable urban ecosystem health governance and preventive policy formulation.
长江中游城市群是中国中部的一个重要城市群，通过其生态系统健康状况在促进城市生物多样性保护和可持续发展方面发挥着重要作用。基于多源遥感数据，采用综合的“活力—组织—韧性”模型对城市生态系统健康状况进行系统评估。此外，运用地理收敛交叉映射（GCCM）模型识别生态系统健康的关键驱动因素，并揭示生态系统健康与其驱动因素之间的因果关系。研究表明：①20多年来，长江中游城市群的生态系统健康水平有所提高，从2010年的0.784提高到2020年的0.801。与中部和南部地区相比，东北部和西部地区的整体生态系统健康状况更好，存在明显差异。②基于GCCM模型，人类活动与生态系统健康具有相对稳定的相互影响，而自然环境与生态系统健康之间的相互作用不稳定。对于人类景观指标，GDP和POP与EH的相互作用方向一致。对于自然景观指标，TA、MAP、HLI、NDVI和NPP与EH的相互作用方向不一致。③GCCM模型对驱动因素的排序如下：归一化植被指数＞GDP＞夜间灯光指数＞年降水量＞年均气温＞人口密度＞净初级生产力。归一化植被指数是最重要的驱动因素，GDP、夜间灯光指数、年降水量和年均气温是主要驱动因素，而人口密度和净初级生产力对生态系统健康的贡献较小。本研究分析了长江中游城市群的生态系统功能及其变化，为未来的生态系统管理提供了科学依据，对城市生态系统健康的可持续治理和预防性政策制定具有重要的理论和实践意义。
