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基于空间聚类法的郧阳区林地资源质量评价研究 被引量:1

The quality evaluation of forest land resources in Yunyang county based on spatial clustering
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摘要 以郧阳区为例,统筹兼顾林地资源的自然、经济、景观等多种功能,结合景观生态学、GIS、RS、空间聚类等技术手段,探讨了郧阳区林地资源质量的空间分布规律。从自然经济质量和景观质量2个维度,构建了5个因素15个因子的林地资源质量评价指标体系;获取各指标属性数据后根据各指标特性按离散型、阈值型和空间扩散型分别对各指标属性数据进行归一化处理;空间聚类结果显示研究区的林地自然经济质量以Ⅰ、Ⅱ类为主,约占57.14%;林地景观质量整体一般,Ⅰ、Ⅱ类约仅占36.45%。研究结果对全方位、多尺度掌握林地资源质量的空间分布、合理确定林地资源的重点保护区和生态保护区具有参考价值。 Taking Yunyang county as an example,according to the natural,economic,landscape and other functions of forest land resources,the characteristics of the spatial distribution of forest land quality were studied and discussed with the guidance of landscape ecology theory and the application of GIS and RS technology. From the two dimensions of natural economic quality and landscape quality of forest land resources,the forest land quality evaluation indexes with 5 elements and 15 factors were constructed. After obtaining the attribute data of each index,the attribute datum of each index was normalized according to the numerical type,linguistic type and spatial diffusion type. The spatial clustering results showed that the natural economic quality of forest land was mainly in level Ⅰ andⅡ,and the area was about 57.14%. The overall quality of the forest landscape was general,and the area was only 36.45% belonging to level Ⅰ and Ⅱ. The results of this study are of great reference value to understand the spatial distribution of forest resource quality in an all-round and multi-scale way,and reasonably determine the key protection areas and ecological protection areas of forest resources.
作者 胡彦 聂艳 于雷 何新莹 沈洁 HU Yan;NIE Yan;YU Lei;HE Xin-ying;SHEN Jie(Wuhan Hongfang Appraisal of Real Estate and Land Co.,Ltd.,Wuhan 430070,China;Hubei Provincial Key Laboratory for Geographical Process Analysis and Simulation,Central China Normal University,Wuhan 430079,China)
出处 《湖北农业科学》 2022年第11期27-31,共5页 Hubei Agricultural Sciences
基金 国家自然科学基金项目(71403095) 中国土地估价师与土地登记代理人协会课题(201905)。
关键词 林地资源 质量评价 空间聚类 郧阳区 forest land resources quality evaluation spatial clustering Yunyang county
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