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黄天来. 青田县古树名木资源空间分布研究[J]. 浙江林业科技, 2023, 43(6): 99-105. DOI: 10.3969/j.issn.1001-3776.2023.06.013
引用本文: 黄天来. 青田县古树名木资源空间分布研究[J]. 浙江林业科技, 2023, 43(6): 99-105. DOI: 10.3969/j.issn.1001-3776.2023.06.013
HUANG Tianlai. Spatial Distribution of Ancient and Famous Trees Resources in Qingtian County[J]. Journal of Zhejiang Forestry Science and Technology, 2023, 43(6): 99-105. DOI: 10.3969/j.issn.1001-3776.2023.06.013
Citation: HUANG Tianlai. Spatial Distribution of Ancient and Famous Trees Resources in Qingtian County[J]. Journal of Zhejiang Forestry Science and Technology, 2023, 43(6): 99-105. DOI: 10.3969/j.issn.1001-3776.2023.06.013

青田县古树名木资源空间分布研究

Spatial Distribution of Ancient and Famous Trees Resources in Qingtian County

  • 摘要: 本文基于GIS平台,使用核密度分析、缓冲区分析、基尼系数、洛伦兹曲线、优越度分析和规模度分析等方法对青田县2017年古树名木普查结果的9150株古树名木的空间分布格局进行研究。结果表明,青田县古树名木空间分布类型为聚集型,在章村乡、祯旺乡、舒桥乡、海口镇形成了4个高密度区,在季宅乡、阜山乡、万山乡、方山乡等乡镇形成了多个次高密度区域,古树名木多分布于以50m为缓冲半径的住宅区、水源、道路缓冲区范围内;全县古树名木资源分布极不均匀,基尼系数高达0.8837,规模度最高的区域为舒桥乡,优越度最高的区域为仁宫乡。本文基于GIS平台对青田县古树名木进行了空间拓扑分析,很好地揭示了古树名木空间分布类型、空间分布特征和空间分布均衡度,为林业部门开展古树名木保护工作提供了数据支持。

     

    Abstract: Based on a GIS platform with kernel density analysis, buffer analysis, Gini coefficient, Lorenz curve, dominance analysis and scale analysis, spatial distribution pattern of 9 150 ancient and famous trees in Qingtian county, Zhejiang province surveyed in 2017. The results indicated that the spatial distribution type of ancient and famous trees was aggregated in four towns, and four sub-high-density towns in Qingtian. Ancient and famous trees were mainly distributed within the buffer radius of 50 m of residential areas, water sources, and roads. The distribution of ancient and famous tree resources in the county was highly uneven, with a Gini coefficient as high as 0.883 7. Based on the GIS platform, this article has conducted spatial topological analysis on the ancient and famous trees in Qingtian County, revealing the spatial distribution type, spatial distribution characteristics, and spatial distribution balance of these trees, providing data support for carrying out the protection of ancient and famous trees for forestry departments.

     

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