目的：了解芜湖地区粉尘螨的种群数量消长动态及其空间分布型。方法2012年11月至2013年10月选择芜湖市某面粉厂，每月5、15、25号定点采集样本，测定并记录温度和相对湿度，鉴定及计数。采用8种聚集度指标和6种回归模型确定粉尘螨种群的空间分布型和理论抽样数，并制定序贯抽样模型。结果粉尘螨种群数量高峰期出现在6月下旬和9月中旬，其空间分布特征为聚集分布，3～11月，其聚集由本身特性与环境因素导致；12月下旬至2月上旬，其聚集由环境因素导致。由各回归模型相关系数r知，兰星平C＇-m模型、张连翔Z-V模型和兰星平La-m模型为粉尘螨的最佳模型。最适抽样数公式：N＝t2D2[1．863m ＋0．073]，序贯抽样模型：T0（n），T1（n）＝20n ±1．96√37．26n＋29．2。结论粉尘螨在该面粉厂仓库中种群消长曲线呈双峰型，其空间格局是以个体群为基本成分呈聚集分布，且密度越高，聚集度越大。%Objective To study the seasonal dynamics and the spatial distribution pattern of Dermatophagoidesfarinae in Wuhu.Methods Samples were collected, identifiedand counted for D.farinae in every ten days from November 2012 to October 2013, relative humidity and temperature were recorded simultaneously.Eight kinds of aggregation index method and six kinds of regression model were used to test and determine the spatial distribution pattern of D.farinae, the theoretical sampling number and the sequential sampling model.Results There were two peaking periods in late June and Mid-September respectively.The spatial distribution pattern of D.farinae was aggregation distribution, in the midst of March and November, biological characteristics and environmental factors led to its aggregation, but in the period of late December and early February, the only aggregative cause was environmental factor.According to the correlation coefficient of those regression models, Lan Xing-ping's C'-m model, Zhang lian-xiang'sZ-V model and Lan Xing-ping's La-m model were the most available models for D.farinae.The theoretical formula of sampling number and sequential sampling were and respectively.Conclusions The growth and decline curve of D.farinae in the factory of flour mills is in bimodal pattern.The spatial distribution pattern of D.farinae is aggregation distribution.The basic component is clumps and the aggregation is increased with population density.
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