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基于主成分分析与聚类分析的滩地环境抑螺效果评价
  • ISSN号:1673-923X
  • 期刊名称:《中南林业科技大学学报》
  • 时间:0
  • 分类:X173[环境科学与工程—环境科学] S161[农业科学—农业气象学;农业科学—农业基础科学]
  • 作者机构:[1]湖北省林业科学研究院,湖北武汉430079, [2]中国林业科学研究院林业研究所,北京100091, [3]西南大学资源环境学院,重庆400716
  • 相关基金:国家自然科学基金项目资助(30671818); 国家“十一五”林业科技支撑项目(2006BAD03A15)资助
中文摘要:

以李家洲林场为研究区域,选择典型样地为评价单元,选取与林地环境密切相关的8个因子构建指标体系,运用主成分分析法及聚类分析法对长江外滩7个样地抑螺效果进行了定量研究。采用主成分分析将8个指标提取出3个主成分,应用分层聚类分析法对该3个主成分的因子得分进行聚类,在此基础上,将主成分得分与其对应的特征值相乘,得到环境抑螺效果评价指数,最后将样地划分为4类,取其平均值对每一类确定抑螺效果等级。结果表明:农林、农药间种的抑螺防病林抑螺效果相对较好,且间种时间越长抑螺效果越好。3年生杨树纯林与油茶间种的复合林抑螺效果最为明显,而1年生的杨树纯林同1年生杨树与小麦的林农复合林二者环境抑螺效果最低。

英文摘要:

Through taking the forest farm of Lijiazhou as a case and choosing field plot scale as the assessment unit,and selecting the 8 factors closely related to forest land environment to construct evaluation indicator system,the snail controlling effects of 7 plots on the beaches of the Yangtze River were quantitatively studied by means of principal component analysis(PCA) and clustering analysis.Three principal components were extracted from the 8 factors by using PCA,the cluster analysis of factor scores of the three principal components was made by employing hierarchical cluster method.On the basis of the clusterings,the index of effect evaluation of the environment to control Oncomelania was obtained by means of multiplying each of the principal component score with its corresponding eigenvalue,and the plots were divided into 4 types and the Oncomelania control effect of every plot type was determined by the average value of the index.The results show that 3-year-old complex forest of poplar and Camellia had the most significant effect of snail prevention,while 1-year-old pure poplars,1-year-old complex forest of poplars and wheat had the lowest presented effects.

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期刊信息
  • 《中南林业科技大学学报》
  • 北大核心期刊(2011版)
  • 主管单位:湖南省教育厅
  • 主办单位:中南林业科技大学
  • 主编:赵运林
  • 地址:湖南长沙市韶山南路498号
  • 邮编:410004
  • 邮箱:xb-csfu@163.com
  • 电话:0731-85623395 85623278
  • 国际标准刊号:ISSN:1673-923X
  • 国内统一刊号:ISSN:43-1470/S
  • 邮发代号:
  • 获奖情况:
  • 1999年被评为全国高优秀学报二等奖,湖南省高校优秀学报一等奖
  • 国内外数据库收录:
  • 美国化学文摘(网络版),日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:11201