摘要
用聚块样方方差分析法、灰色关联度分析法、空间格局聚集强度指数法和ρ指数法对安徽省潜山县茶园茶尺蠖及其8种蜘蛛之间的关系进行分析.结果表明:与茶尺蠖空间上跟随关系密切的天敌是三突花蟹蛛(关联度值为0.8568)和八点球腹蛛(0.7888),跟随关系较不密切的天敌是鞍形花蟹蛛(0.6312)和日本球腹蛛(0.5698);聚块样方方差分析和聚集强度分析表明,在聚块内有1~32个基本样方时,随着聚块内基本样方数的增多,聚集格局的扩散系数 C值不断增大,均匀和随机格局的扩散系数C值不断减小;茶尺蠖及其蜘蛛在聚块基本样方数为2、4、8、16和32时与为1时之间的空间分布聚集程度差异均不显著;茶尺蠖的种群聚集均数λ在多数情况下大于2,聚集是由其本身原因造成的,在种群聚集均数为正值时,随着聚块内基本样方数的增加,种群聚集均数不断增大;用茶尺蠖不同大小聚块的ρ指数判断其聚集时个体群的最小范围表明,茶尺蠖个体群聚集格局的最小面积是聚块中具有1个基本样方,即该文的1.7m2,这为对该害虫抽样时确定样方大小提供了科学依据.
Summary The relationships between insect pests and their natural enemies include the quantitative relations of their occurrence , the temporal relationships of their occurrence as well as their spatial distribution patterns . In previous studies , the quantitative relationships between tea pests and their spider natural predators have been researched by grey correlation degree analysis . In addition , the niche overlap index and niche similarity coefficient analysis methods have been used to assess the natural predators of pests , which studied the spatial and temporal relationships of the insect pests and their natural predators . Moreover , the ranges of spatial dependence ( RSDs) of natural enemies and insect pests were respectively calculated by the method of geostatistics . Then the RSDs were analyzed using grey correlation degree analysis to systematically investigate the spatial relationships between pests and enemies .
出处
《浙江大学学报(农业与生命科学版)》
CAS
CSCD
北大核心
2015年第2期133-146,共14页
Journal of Zhejiang University:Agriculture and Life Sciences
基金
国家自然科学基金(30871444)
安徽省教育厅重点项目(KJ2008A139)
关键词
茶尺蠖
蜘蛛类天敌
空间关系
聚块样方方差分析
灰色关联度分析
Ectropis oblique hypulina
spider natural enemy
spatial relationship
blocked quadrat variance analysis
grey correlation degree analysis