[1]张顺祥,刘金良,赵忠*. 基于多元统计分析的永寿县刺槐人工林健康评价研究[J].西北林学院学报,2016,31(2):109-114.[doi:10.3969/j.issn.1001-7461.2016.02.19]
 ZHANG Shun-xiang,LIU Jin-liang,ZHAO Zhong*. Health Assessment on Black Locust Plantations in Yongshou County Based on Multivariate Statistical Analysis[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2016,31(2):109-114.[doi:10.3969/j.issn.1001-7461.2016.02.19]
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 基于多元统计分析的永寿县刺槐人工林健康评价研究()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第31卷
期数:
2016年第2期
页码:
109-114
栏目:
出版日期:
2016-03-31

文章信息/Info

Title:
 Health Assessment on Black Locust Plantations in Yongshou County Based on Multivariate Statistical Analysis
文章编号:
1001-7461(2016)02-0109-06
作者:
 张顺祥刘金良赵忠*
 (西北农林科技大学 西部环境与生态教育部重点实验室,陕西 杨陵 712100)
Author(s):
 ZHANG Shun-xiangLIU Jin-liangZHAO Zhong*
 (Key Laboratory of Environment and Ecology in Western China,Ministry of Education,Northwest A&F University,Yangling,Shaanxi 712100,China)
关键词:
 刺槐健康评价主成分分析聚类分析判别分析
Keywords:
 black locust health assessment principal component analysis cluster analysis discriminant analysis
分类号:
S792.27
DOI:
10.3969/j.issn.1001-7461.2016.02.19
文献标志码:
A
摘要:
 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。
Abstract:
 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.

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备注/Memo

备注/Memo:
 收稿日期:2015-05-29修回日期:2015-08-08
基金项目:国家“十二五”科技支撑计划项目“黄土高原人工林可持续经营技术研究与示范”(2012BAD22B0302)。
作者简介:张顺祥,男,在读硕士,研究方向:森林培育。E-mail:zhangshunxiang@foxmail.com
*通信作者:赵忠,男,教授,博士生导师,研究方向:森林培育。E-mail:zhaozh@nwsuaf.edu.cn
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