基于模糊综合评判的森林群落稳定性评价体系模型构建——以黄龙山主要森林群落为例

基于模糊综合评判理论,以黄龙山分布的油松林、油松+辽东栎林、辽东栎林和白桦林4种森林群落类型为例,选择反映森林群落基本特征的种群更新潜力、林地土壤肥力、林地生产力、物种多样性和人为干扰这5项指标(共15个因子),构建森林群落稳定性评价模型,通过计算该评价模型的隶属函数值来评判森林群落稳定性.结果表明:黄龙山4种主要森林群落稳定性表现为辽东栎林>油松+辽东栎林>油松林>白桦林,评判结果符合当地森林群落发育状况;评价模型中评价因子的选择反映了森林群落稳定性的基本特征,突出了常用方法对群落调查获取的林业数据的应用;评价过程避免了繁琐的数学计算,可操作性强,具有较好的推广应用价值.基于5项指标的模糊综合评判的森林群落稳定性评价模型可以应用于森林群落稳定性评价.

Establishment of an Evaluation Model of the Forest Community Stability Based on Fuzzy Synthetic Evaluation: A Case Study of Main Forest Communities in Huanglong Mountains

The forest community stability was evaluated by calculating subordinate function values of a model which was established based on fuzzy synthetic evaluation by five indices of population regeneration, soil fertility, woodland productivity, species diversity and anthropogenic destroy in main forest communities of Huanglong Mountains. The results showed that forest community stability evaluation of main forest communities in Huanglong Mountains ranked in the decreasing order of community of Quercus liaotungensis forest, Pinus tabulaeformis + Quercus liaotungensis forest, Pinus tabulaeformis forest and Betida platyphylla forest. The result was consistent with development status of the local forest community. The selected indices of this model reflected forest community stability, and highlighted forestry data application. Whole process of evaluation in this model avoided complicated calculation, and was easy to operate. Therefore, this model is suitable for extending its application in forest community stability judgment.