徐来仙, 姚兰, 郭秋菊, 等. 鄂西南利中盆地马尾松天然次生林森林健康评价[J]. 西南林业大学学报(自然科学), 2021, 41(3): 69–77 . DOI: 10.11929/j.swfu.202005047
引用本文: 徐来仙, 姚兰, 郭秋菊, 等. 鄂西南利中盆地马尾松天然次生林森林健康评价[J]. 西南林业大学学报(自然科学), 2021, 41(3): 69–77 . DOI: 10.11929/j.swfu.202005047
Laixian Xu, Lan Yao, Qiuju Guo, Xunru Ai, Jiang Zhu. Forest Health Assessment of Pinus massoniana Natural Secondary Forest in Lizhong Basin in Southwestern Hubei[J]. Journal of Southwest Forestry University, 2021, 41(3): 69-77. DOI: 10.11929/j.swfu.202005047
Citation: Laixian Xu, Lan Yao, Qiuju Guo, Xunru Ai, Jiang Zhu. Forest Health Assessment of Pinus massoniana Natural Secondary Forest in Lizhong Basin in Southwestern Hubei[J]. Journal of Southwest Forestry University, 2021, 41(3): 69-77. DOI: 10.11929/j.swfu.202005047

鄂西南利中盆地马尾松天然次生林森林健康评价

Forest Health Assessment of Pinus massoniana Natural Secondary Forest in Lizhong Basin in Southwestern Hubei

  • 摘要: 以鄂西南利中盆地马尾松天然次生林为研究对象,以群落稳定性、群落持续性和群落结构功能完备性为评价标准,在采用复合结构功能指标法构建森林健康评价指标体系基础上,运用层次分析法、均方差决策综合分析法和评价指标分值法对马尾松天然次生林的健康状况进行评价。结果表明:3种评价方法的评价结果总体为“健康”;在马尾松天然次生林的34块调查样地中,23个“健康”等级的样地占比达69.85%,16.18%的样地为“良好健康”,处于“亚健康”样地占总数的13.97%,无不健康林分。根据该区域林分实际情况以及考虑评价方法的客观性,均方差决策综合分析法为最优评价方法。Pearson相关分析显示,影响鄂西南利中盆地马尾松天然次生林森林健康状况的主要因子为腐殖层厚度、人为干扰指数、草本盖度、枯损率、优势种幼苗率、树高生长率、立地指数、物种丰富度和物种多样性指数等指标。

     

    Abstract: The Pinus massoniana natural secondary forest in Lizhong basin of Southwest Hubei was as taken as the research object, and taking community stability, community sustainability and community structure function completeness as the evaluation criteria, the analytic hierarchy process, comprehensive analysis of mean squared decision and evaluation index score methods were used to evaluate the health status of P. massoniana natural secondary forest in Lizhong basin on the basis of constructing the forest health evaluation index system. The results showed that the overall evaluation results of the 3 evaluation methods were healthy. Among the 34 survey plots of P. massoniana natural secondary forest, 23 plots were accounted for 69.85% presented as the healthy grade, 16.18% were 'good health' plots, and 13.97% of the total plots were sub-healthy plots, no unhealthy forest stands. According to actual situation of the forest stand in the region, and considering the objectivity of the evaluation method, the comprehensive analysis of mean squared decision was the optimal evaluation method. Pearson correlation analysis showed that humus thickness, anthropogenic interference index, herb coverage, mortality rate, seedling rate of dominant species, tree height growth rate, site index, species richness and species diversity index were the main factors affecting the forest health of P. massoniana natural secondary forest in the Lizhong basin, Southwest Hubei.

     

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