Landscape ecological risk assessment and driving factor analysis in Dongjiang river watershed

The ecological and environmental quality of Dongjiang river watershed has great influence on Guangdong, Hong Kong and Macao. The landscape ecological risk assessment model could effectively monitor and assess environmental quality. In this study, spatial autocorrelation and geographic detector methods were used to explore the spatial characteristics of landscape ecological risk and their driving factors in the Dongjiang river watershed for four decades. The results showed that the ecological risks of Dongjiang River Source Watershed are mainly classified as low and intermediate, which are distributed in the hilly regions and the marginal mountainous regions at the junction of the Xunwu and Dingnan counties. From 1980 to 2018, the area of regions with the low ecological risk increased by 587.01 km(2). The size of regions with moderate, high and severe ecological risk decreased by 165.6 km(2), 258.82 km(2) and 162.58 km(2), respectively. Moreover, landscape ecological risk values exhibited an apparent spatial dependency, and high-risk areas cluster together. Among influencing factors, population density has the most significant impact on the change of landscape ecological risk in the Dongjiang river watershed, followed by elevation (DEM), human interface, vegetation index (NDVI), and urbanization level. However, the interaction of driving factors has a greater impact on the ecological risk of the Dongjiang river watershed than a single driving factor. The research provides good knowledge for environmental quality management, and the proposed methods can be used for other regions.

Automated summary

This study explores the spatial characteristics and driving factors of landscape ecological risk in the Dongjiang river watershed using spatial autocorrelation and geographic detector methods. The results show that the ecological risks mainly concentrate in hilly and marginal mountainous regions, exhibiting apparent spatial dependence. Population density has the most significant impact on ecological risk change in the watershed.