| 摘要: |
| 利用森林资源二类调查数据库，基于林地小班尺度，运用主成分分析法筛选出了平均胸径、 平均树高、郁闭度等 12 个评价因子，将初筛因子按照各主成分分析综合为森林生产力、森林立地质量和 林分稳定性描述，将其作为层次分析法准则层来构建县域森林质量评价指标体系，获得了层次总排序指 标权重并通过一致性检验。最终将全县森林质量等级划分为 4 个等级，分别为优、中、差、劣，同时也 得出了全县整体森林质量指数为 0.53，表明县域森林质量处于中等水平，全县森林质量水平提升空间较 大。同时利用 GIS 技术对森林质量评价结果和森林属性数据进行数据对比分析，结果表明，全县林地小 班急需进行精准森林经营来提高森林质量。基于森林资源二类调查数据库合理建立森林质量评价体系， 掌握县域森林资源质量状况，可以为制定科学合理的县域森林经营方案、规划等提供重要依据。 |
| 关键词: 森林资源 森林质量 主成分分析法 层次分析法 森林经营 |
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| Research on Forest Quality Evaluation in County Based on the Subcompartment Scale |
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zhangfeng, zhanglijun, huwei, liangchengjian
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Forestry research institute of Zhaoqing
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| Abstract: |
| Using the forest resource secondary survey database, based on the subcompartment scale, 12 evaluation factors such as average diameter at breast height（DBH）, average tree height and canopy density were selected by principal component analysis. The primary screening factors were integrated into forest productivity and forest according to each principal component analysis. The site quality and stand stability description were used as the analytic hierarchy process to construct the county forest quality evaluation index system, and the weight of the total ranking index was obtained and passed the consistency test. Finally, the county’s forest quality grade is divided into four levels, which are excellent, medium, poor and inferior. At the same time, the overall forest quality index is 0.53 in the county, indicating that the forest quality is at a medium level and the county’s forest quality level. At the same time, using GIS technology to compare the forest quality evaluation results and forest attribute data. The results show that the county’s small forest land groups urgently need precision forest management to improve forest quality. Based on the forest resource survey database, the establishment of a forest quality evaluation system and the quality of county forest resources can provide an important basis for the formulation of scientifific and rational county forest management plans and plans. |
| Key words: forest resources forest quality principal component analysis analytic hierarchy process forest management |
