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中国农学通报

中国农学通报 ›› 2026, Vol. 42 ›› Issue (7): 55-61.doi: 10.11924/j.issn.1000-6850.casb2025-0410

• 林学·园艺·园林 • 上一篇    下一篇

湖州市古树资源空间分布特征及保护策略

罗玉兰1(), 常旭2, 张冬梅1(), 赵得明3, 李鑫4   

  1. 1 上海市园林科学规划研究院， 上海 200232
    2 上海应用技术大学， 上海 201400
    3 中国科学院大气物理研究所， 北京 100029
    4 浙江大学湖州研究院， 浙江湖州 313000
  • 收稿日期:2025-05-28 修回日期:2026-03-15 出版日期:2026-04-15 发布日期:2026-04-15
  • 通讯作者:
    张冬梅，女，1970年出生，教授级高级工程师，博士，主要从事园林植物遗传育种。E-mail：。
  • 作者简介:

    罗玉兰，女，1975年出生，正高级工程师，硕士，主要从事园林植物引种、选育及工程应用。Tel：021-54357407，E-mail：。

  • 基金资助:
    国家重点研发计划“示范区协同降碳减污扩绿关键技术及评价方法”(2023YFC3804902)

Spatial Distribution Characteristic and Protection Strategy of Ancient Tree Resources in Huzhou City

LUO Yulan1(), CHANG Xu2, ZHANG Dongmei1(), ZHAO Deming3, LI Xin4   

  1. 1 Shanghai Academy of Landscape Architecture Science and Planning, Shanghai 200232
    2 Shanghai Institute of Technology, Shanghai 201400
    3 Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
    4 Huzhou Institute of Zhejiang University, Huzhou, Zhejiang 313000
  • Received:2025-05-28 Revised:2026-03-15 Published:2026-04-15 Online:2026-04-15

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摘要：

为系统掌握湖州市古树资源本底与空间分布规律，支撑古树精准保护与生态网络融合，基于2023—2024年湖州市全域古树调查数据，采用ArcGIS核密度分析与空间叠置法，分析树种组成、树龄结构、区域分布及与生态源地的耦合特征。结果表明：湖州市共有古树8934株，隶属于40科81属111种，数量达100株以上的优势树种13种，其中枫香（1019株）、银杏（4691株）数量较多，两者占比63.91%。从树龄结构看，一级古树185株，占2.07%，其中树龄高于1000年的古树35株，仅占比0.39%，分别为柏树、榧树、黄连木、罗汉松、南方红豆杉、银杏、圆柏、重阳木等8种；二级古树469株32种，占5.25%；三级古树8280株，占92.68%，种类涵盖了所有古树树种。古树主要分布于长兴县(48.29%)、安吉县(36.82%)，不同区县呈现出显著性差异。古树空间分布呈现分散、多组团集聚的格局，与湖州市生态保护、自然保护地进行叠加，6.02%位于生态源地、10.85%远离生态源地。研究认为，湖州古树资源丰富、区域分异明显、与生态网络空间耦合度不足。建议构建分级分类保护体系，强化生态空间连通性，推动古树保护与文化旅游、乡村振兴深度融合。本研究可为长三角低山丘陵区古树资源保护与生态网络优化提供科学依据，未来可结合长期监测与数字孪生技术实现智慧管护。

关键词: 古树资源, 生态适应性, 空间分布, 生态网络, 保护利用, 湖州市

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