北京林业大学学报2026，Vol.48Issue(2)：198-208,11.DOI:10.12171/j.1000-1522.20250091
2000-2020年中国主要城市景观连通性演化及驱动因素
Evolution of landscape connectivity and driving factors in major Chinese cities from 2000 to 2020
摘要
Abstract
[Objective]To clarify the temporal and spatial evolution characteristics of landscape connectivity in major cities in China and its differential driving mechanism,so as to provide a scientific basis for the construction of urban ecological network and biodiversity conservation.[Method]Based on the land use data of 31 cities in China from 2000 to 2020,the probability of connectivity index(PC)was calculated by using the Graphab model to reveal its temporal and spatial variation.Key drivers of landscape connectivity were identified by correlation analysis and principal component analysis.[Result](1)The landscape connectivity level of 31 cities exhibited a spatial pattern of"high in the West and low in the East",and the overall trend was downward,with a decrease of 4.8%.Urban expansion was significantly negatively correlated with landscape connectivity,and different city types displayed diverse coupling pathways.(2)The proportion of blue-green space was the primary positive factor affecting landscape connectivity,with the highest correlation(r=0.69),which played a key role in supporting the ecological network structure,and exhibited a nonlinear relationship with PC.Urbanization indicators such as construction land area,population density and temperature showed negative correlations.(3)The distribution of cities in the two-dimensional principal component space displayed distinct regional clustering.Cities in the southwest and northwest generally possessed a favorable ecological foundation,while those in East China,South China,and North China were concentrated in areas with high urbanization levels.[Conclusion]The long-term evolution trend of urban landscape connectivity has been quantified at the national scale,revealing that the evolution of landscape connectivity is driven by both natural geographical conditions and urban development patterns.The results provide a theoretical basis for optimizing ecological networks and guiding region-specific strategies.关键词
景观连通性/生态网络/图论/城市扩张/蓝绿空间Key words
landscape connectivity/ecological network/graph theory/urban expansion/green-blue space分类
天文与地球科学引用本文复制引用
李豪,郑至恺,段维玥,黄心言,刘志成..2000-2020年中国主要城市景观连通性演化及驱动因素[J].北京林业大学学报,2026,48(2):198-208,11.基金项目
国家重大科技专项独立课题(2018ZX07101005),北京市共建项目专项"城乡生态环境北京实验室"(BLUREE02). （2018ZX07101005）
