| 基于林内色彩斑块的油松人工风景林定量分类的研究 |
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| 引用本文： | 毛斌,徐程扬,彭立群.基于林内色彩斑块的油松人工风景林定量分类的研究[J].西北林学院学报,2014,29(4):169-174. |
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| 作者姓名： | 毛斌 徐程扬 彭立群 |
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| 作者单位： | （北京林业大学 省部共建森林培育和保护教育部重点实验室，干旱半干旱地区森林培育和生态系统国家林业局重点实验室，北京 100083） |
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| 摘 要： | 利用景观生态学的景观空间格局分析原理，以照片的色彩斑块结构分析为基础开展风景林定量研究。为能充分反映林内景观特征，选取16个景观斑块指数，应用因子分析进行研究。结果表明，提取累积贡献率达88.43%的4个公因子，将16个景观指数分为F1-斑块多样性因子；F2-斑块破碎因子；F3-斑块格局因子和F4-斑块形状因子4大类综合因子。依据4公因子的得分利用聚类法将油松林分为5个类型，同时针对各类型景观特征提出相应的管理措施。
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| 关 键 词： | 风景林 林内景观 景观板块 定量分类 |
Color Patches of In-forest Based Study on Planted Pinus tabulaeformis Scenic Forest Quantitative Classification |
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| MAO Bin,XU Cheng-yang,PENG Li-qun. Color Patches of In-forest Based Study on Planted Pinus tabulaeformis Scenic Forest Quantitative Classification[J].Journal of Northwest Forestry University,2014,29(4):169-174. |
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| Authors: | MAO Bin XU Cheng-yang PENG Li-qun |
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| Institution: | （The Key Laboratory for Silviculture and Conservation of Ministry of Education，Beijing Forestry University, The Key Laboratory for Silviculture and Ecological System of the State Forestry Administration, Arid and Semi-arid Region, Beijing 100083, China） |
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| Abstract: | Based on the principles of the analysis of landscape spatial pattern in landscape ecology, quantitative classification was conducted by analyzing the structure of the color plaques of photos. In order to fully reflect the characteristics of in-forest landscape, 16 landscape patch indices were selected to carry out factor analysis and cluster analysis. The results showed that 4 comprehensive factors could explain about 88.43% of the variation in the 16 metrics, and the 16 landscape patch indices were classified into 4 comprehensive factors, i.e., F1 patch diversity factor, F2 patch fragmentation factor, F3 patch pattern factor, and F4 patch shape factor. According to the scores of the factors, planted Pinus tabulaeformis scenic forest was classified into 5 types by using cluster analysis. Corresponding management measures were put forward according to the types of landscape features. |
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| Keywords: | scenicvforest in-forest landscape landscape patch quantitative classification |
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