基于多元统计分析的永寿县刺槐人工林健康评价研究

为了调查陕西省永寿县刺槐人工林的健康状况，以及建立更加客观、科学的森林健康评价体系，在永寿县布设45块刺槐人工林样地并调查，采用主成分分析和聚类分析评价刺槐样地健康状况，并采用判别分析对健康评价结果进行检验。结果表明，研究区刺槐人工林中健康林分占33.33%，亚健康占64.44%，不健康占2.22%，判别分析和聚类分析的结果具有较好的一致性。研究区内人工林需要进行疏伐等经营措施提高林分健康水平，且主成分分析和聚类分析相结合的方法能够用于森林健康评价中，且更具有科学性、客观性。

Health Assessment on Black Locust Plantations in Yongshou County Based on Multivariate Statistical Analysis

In order to investigate the health conditions of black locust (Robinia pseudoacacia) plantations in Yongshou County and to establish a more scientific and more subjective forest evaluation system,45 plots were set and surveyed.Principal component analysis and cluster analysis were adopted to assess the health status of each plot,and discriminant analysis was used to test the result.It was found that the percentage of healthy,sub-healthy and unhealthy plantations in surveyed areas were 33.33%,64.44%,and 2.22%,respectively,and the result of discriminant analysis agreed with that of cluster analysis.Measures,including thinning,should be taken to improve the forest health status in study area.The combination of principal component analysis and cluster analysis was effective way for health assessment,and it was more scientific and more objective.