城步苗族自治县森林健康评价

Forest Health Evaluation of Chengbu Miao Autonomous County

采用主成分分析法筛选出森林健康评价体系的指标,通过Matlab构建SOM神经网络模型,计算出森林健康等级,得出结论:城步苗族自治县森林健康状况较为理想,较健康等级以上的森林面积占总面积的81.70%;在空间分布上呈现出优质健康和健康等级的森林主要集中在城步县中部偏北和中部偏西南,而不健康和亚健康的森林主要零散分布在城步县北部和西南部的特征,且与人为干扰存在一定的相关性;天然林的森林健康状况优于人工林;过熟林和成熟林因群落结构完善、生态系统稳定性高,其健康状况优于他龄组,森林群落结构的完整性和生态系统的稳定性是影响森林健康程度的主要因素.

This study used principal component analysis to screen and construct the forest health evaluation system of Chengbu Miao Autonomous County.The SOM neural network model of forest health assessment was constructed by Matlab,which was used to calculate the forest health grade of Chengbu Miao Autonomous County and reached the following conclusions.The forest health status of Chengbu Miao Autonomous County was relatively good.The forest was above healthy level(more healthy,healthy,high quality and healthy),accounting for 81.70%of the total forest area.The forests with high quality health and health grades were mainly concentrated in the north and central southwest of Chengbu County.The unhealthy and sub-health were mainly distributed in the north and southwest of the Chengbu Miao Autonomous County,and there were certain correlation with human disturbances.The forest health status of natural forest was better than that of plantation forest;over-ripe and mature forests in community structure were also higher than other age groups in ecosystem stability.Forest community structure integrity and ecosystem stability was the main factor affecting the health of the forest.