凤凰木夜蛾幼虫空间分布型及抽样技术  

Spatial distribution pattern of Pericyma cruegeri larva and sampling technique

作　　者：贾蕊娟 崔平越 周伟东 JIA Ruijuan, et al.(Shenzhen Guangxin Garden Construction Co. Ltd. , Shenzhen 518052, Chin)

机构地区：[1]深圳市广信园林建设有限公司,广东深圳518052 [2]深圳市梧桐山风景区管理处,广东深圳518004

出　　处：《中国森林病虫》2018年第2期28-31,共4页Forest Pest and Disease

基　　金：广东省科技计划项目(20160206);深圳市梧桐山风景区管理处科研基金(H16526)

摘　　要：作者应用分布型指数分析判定凤凰木夜蛾Pericyma cruegeri幼虫在凤凰木Delonix regia(Bojer)Raf.上的空间分布型,利用Iwao回归方程和Taylor幂法则分析聚集原因。结果表明,凤凰木夜蛾低龄(1~3龄)幼虫在凤凰木上呈聚集分布,分布的基本成分为个体群,其聚集强度随密度的升高而增大;高龄(4~6龄)幼虫在凤凰木上为均匀分布,且密度越高,种群分布越均匀。运用Iwao回归模型中的两个参数α和β值,确定了凤凰木夜蛾低龄和高龄幼虫的最适理论抽样数及序贯抽样表。Spatial distribution pattern of P. cruegeri larvae on flame tree was determined by spatial distribution pattern indices, and the assembling reason was analyzed using Iwao＇s regression equation and Taylor＇s power law. The results showed that 1 st-3 rd instar larvae of P. cruegeri presented a pattern of aggregation distribution with an individual group character, and the aggregation intensity increased with the increasing density. However, as the larvae grew up and dispersed, the spatial distribution pattern of 4 th-6 th instar larvae turned into an uniform distribution, and the uniform level increased with the increasing density. Based on the parameters α and β in Iwao＇s regression equation, the optimal sampling number and sequential sampling table for both young and old instar larvae of P. Cruegeri were calculated.

关 键 词：凤凰木夜蛾 空间分布型 抽样技术 

分 类 号：S763.42[农业科学—森林保护学]