谢振伦. 广州地区茶园昆虫群落结构年中变化的研究[J]. 华南农业大学学报, 1993, (3): 22-31.
    引用本文: 谢振伦. 广州地区茶园昆虫群落结构年中变化的研究[J]. 华南农业大学学报, 1993, (3): 22-31.
    Xie Zhenlun. A STUDY ON THE SEASONAL PATTERN OF COMMUNITY IN TEA PLANTATION GUANGZHOU[J]. Journal of South China Agricultural University, 1993, (3): 22-31.
    Citation: Xie Zhenlun. A STUDY ON THE SEASONAL PATTERN OF COMMUNITY IN TEA PLANTATION GUANGZHOU[J]. Journal of South China Agricultural University, 1993, (3): 22-31.

    广州地区茶园昆虫群落结构年中变化的研究

    A STUDY ON THE SEASONAL PATTERN OF COMMUNITY IN TEA PLANTATION GUANGZHOU

    • 摘要: 本文以广州地区茶园年中1~12月各月昆虫群落变化情况,根据种数、个体数量、多样性、优势度、均匀度、相似系数等特征,采用极点排序(PO)法进行类聚,可将群落季节格局明显地划分为4个序列;各月份昆虫群落沿群落最大变差的展开顺序依次为1月→2月→3月→12月→11月→8月→4月→10月→9月→7月→5月→6月.用模糊聚类分析法分析,结果相同.

       

      Abstract: This paper discusses the changes of tea plantation insect communities from January to December in Guangzhou by using the polar ordinal method (PO). Factors taken intoacoout included. Number of species, population density, diversity, degree of dominancy, uniformity of distribution, and similarity coefficient. The results showed that seasonal patterns of insect communities in tea plantations can be distinctly classified into four groups. The descending order of variations of insect communities was: January-February-March-December-November-August-April -October-September-July -May-June. The same conclusion was reached when applying Fuzzy clustering Analysis (FCA). This research indicated that FCA and PO used in forecasting changes of insect communities in tea plantations can reflect the real situatoin in the field.

       

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