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聚块大小对双斑长跗萤叶甲空间分布的影响

作  者:
毕守东;张书平;余燕;王振兴;李尚;周夏芝;邹运鼎;王建盼;郎坤
单  位:
安徽农业大学理学院
关键词:
双斑长跗萤叶甲;空间分布格局;聚块样方方差分析;种群聚集均数
摘  要:
为了明确聚块大小对茶园双斑长跗萤叶甲空间分布的影响,为确定最佳样方面积提供科学依据。用聚块样方方差分析方法和聚集强度指数法研究两种茶园两年双斑长跗萤叶甲空间分布的规律性,聚集格局的差异和种群聚集均数变化。不同大小聚块的均方差均出现1~2个峰值,聚块中有1~8个基本样方(K)时,随着K的增大,聚集格局的扩散系数C和种群聚集均数λ都不断增大,其他格局时C和λ不断变小,聚块内基本样方数K为2、4、8时与K为1时的聚集程度|w|值均小于|w|_(0.05)。茶园双斑长跗萤叶甲存在1~2种不同尺度的聚集空间,空间分布具有规律性,个体群占据最小范围为2个基本样方,即4 m~2,为最佳样方的选择提供了科学依据。
译  名:
Effects of cluster size on the spatial distribution of Monolepta hieroglyphica
作  者:
BI Shoudong;ZHANG Shuping;YU Yan;WANG Zhenxing;LI Shang;ZHOU Xiazhi;ZOU Yunding;WANG Jianpan;LANG Kun;College of Science,Anhui Agricultural University;College of Forestry and Landscape Architecture, Anhui Agricultural University;
单  位:
BI Shoudong%ZHANG Shuping%YU Yan%WANG Zhenxing%LI Shang%ZHOU Xiazhi%ZOU Yunding%WANG Jianpan%LANG Kun%College of Science,Anhui Agricultural University%College of Forestry and Landscape Architecture, Anhui Agricultural University
关键词:
Monolepta hieroglyphica;;spatial distribution pattern;;blocked quadrat variance analysis;;population density
摘  要:
Clarifying the influence of cluster size on the spatial dynamics of Monolepta hieroglyphica in tea gardens helps provide the basis for scientific sampling. In combination with the results of blocked quadrat variance and aggregated-intensity analysis, the regularity of spatial variation, diversity and intensity of aggregation pattern of M.hieroglyphica in two tea plantations were studied. The mean square variance of different cluster sizes all exhibited 1-2 peaks: When there were 1-8 basic samples(K), the diffusion coefficient C and the aggregation mean λ increased with the increase of K, and the C and λ decreased with the increase of K in other patterns. The aggregation degrees with the basic sample number K as 2, 4, 8 and 1 were all lower than 0.05. There were 1-2 kinds of different scale aggregation spaces in the tea garden. The spatial distribution was regular, and the minimum area for individual group was two basic samples(that is 4 m~2), which provides the scientific basis for selection of the best sample square.

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