Spatial Distribution Pattern and Sampling Technique of Myzus Persicae in Liangshan Tobacco Regions of Sichuan Province
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摘要: 为明确四川省凉山主要烟区烟蚜空间分布格局，给通过释放天敌控制烟蚜技术提供理论依据，运用2种回归方法和8个聚集度指标对烟蚜盛发期种群的空间格局进行了分析，同时通过Southwood的Kc法、Iwao回归法和Taylor幂法计算烟蚜种群理论抽样数，用Iwao和kuno序贯抽样技术拟合烟蚜的序贯抽样模型。结果表明，烟蚜种群呈聚集分布，聚集强度随种群密度的升高而增加，且符合负二项分布，其聚集原因是由烟蚜习性与环境因素共同引起的；通过种群密度与聚集度指标相关性分析表明，用平均拥挤度（m*/m）、负二项分布指标（K），久野指数（CA）及L*/（m+1）分析烟蚜空间分布型更具说服力。本研究利用空间格局参数确定了理论抽样数和序贯抽样模型，明确了四川省凉山主要烟区烟蚜种群呈聚集分布，是由烟蚜习性与环境因素共同决定的。Abstract: In order to better understand the occurrence regularity of Myzus persicae (Sulzer) (Hemiptera:aphidiae) and to provide theory evidence to the method that the natural enemies are used to control Myzus persicae in Liangshan tobacco regions of Sichuan Province, two regression models[Iwao's regression and Taylor's power principle] and eight indices of aggregation[K, C, CA, I, M*, m*/m, L*, L*/(1+m)] were used to test the spatial distribution patterns of Myzus persicae population. The results indicated that the distribution patterns of Myzus persicae population, which accords with minus binomial distribution belong to an aggregated distribution. The aggregated mean indice(λ) suggested that aggregation was caused by biological characteristics of Myzus persicae and environmental factors. In addition, the aggregation indexs[K, CA, m*/m, L*/(1+m)] can explain the spatial distribution patterns of Myzus persicae population better. The equation of theoretical sampling number and sequential sampling model were inferred from the sptial pattern parameters. In conclusion, the distribution patterns of Myzus persicae population was an aggregated distribution and their aggregation seemed to be due to both the biological characters of population and environmental factors.
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