Abstract:

The study aims to systematically grasp the background and spatial distribution of ancient tree resources in Huzhou City, and support the precise protection of ancient trees and the integration of ecological networks. Based on the survey data of ancient trees in Huzhou City from 2023 to 2024, ArcGIS kernel density analysis and spatial overlay method were used to analyze the tree species composition, tree age structure, regional distribution and coupling characteristics with ecological sources. The results showed that a total of 8934 ancient trees were recorded, belonging to 40 families, 81 genera and 111 species. Among these，13 dominant species had more than 100 individuals each. Liquidambar formosana (1019 trees) and Ginkgo biloba (4691 trees) were the most abundant accounting for 63.91%. There were 185 first-class ancient trees (2.07%), including 35 trees over 1000 years old (0.39%) from 8 species (Platycladus orientalis, Torreya grandis, Pistacia chinensis, Podocarpus macrophyllus, Taxus mairei, Ginkgo biloba, Sabina chinensis and Bischofia Polycarpa). Second-class ancient trees numbered 469 (5.25%) and covered 32 species，while third-class ancient trees accounted for 8280 (92.68%) and included all species. The ancient trees were mainly distributed in Changxing County (48.29%) and Anji County (36.82%), showing significant differences in counties. The spatial distribution of ancient trees showed scattered and multi-group agglomeration. Superimposed with the ecological protection and natural protection areas, there were 6.02% located in and 10.85% far away. In summary, Huzhou ancient tree resources are rich, regional differences are obvious, and the coupling degree with ecological network space is insufficient. Accordingly, it is recommended to establish a fine protection system, strengthen the connectivity of ecological spaces, and promote the deep integration of ancient tree protection with cultural tourism and rural revitalization. This study provides a scientific basis for the protection of ancient tree resources and the optimization of ecological networks in the hilly areas of the Yangtze River Delta. In the future, long-term monitoring and digital twin technology can be combined to achieve intelligent management and protection.

Key words: ancient tree resources, ecological suitability, spatial distribution, ecological network, protection and utilization, Huzhou City