北京市东城区2014－2019年蝇密度监测及季节消长分析

doi:10.11853/j.issn.1003.8280.2020.06.013

摘要/Abstract

摘要： 目的掌握北京市东城区蝇类密度及季节消长规律，为蝇类防制工作提供参考依据。方法采用笼诱法，于2014－2019年每年的4－10月对东城区7个监测点进行蝇密度监测。采用Excel 2007软件对监测数据进行统计分析。结果 2014－2019年东城区蝇类以麻蝇（35.16%）、厩腐蝇（18.92%）、家蝇（16.83%）和丝光绿蝇（13.19%）为优势蝇种，这4类蝇种占捕蝇总数的84.10%；2014－2019年蝇类总密度呈下降趋势；蝇密度高峰期在7月；在不同生境中，绿化带蝇密度最高为6.20只/笼，其次为宾馆饭店和居民区，分别为5.49和4.88只/笼；绿化带以麻蝇为优势种，居民区以家蝇为优势种。结论基本掌握了东城区蝇类密度、种群构成及季节消长情况。蝇类防制应以绿化带和宾馆饭店为重点场所；7月为蝇密度高峰期，提示应注意在高峰期到来前采取防制措施。

关键词: 蝇密度, 监测, 种群构成, 季节消长

Abstract: Objective To investigate the fly density and its seasonal fluctuation in Dongcheng district of Beijing, China, and to provide a reference for fly control. Methods From 2014 to 2019, fly density was monitored by the cage trapping method at seven surveillance sites in Dongcheng district from April to October. The surveillance data were statistically analyzed by Excel 2007 software. Results From 2014 to 2019, the dominant fly species in Dongcheng district were Sarcophagidae (35.16%), Muscina stabulans (18.92%), Musca domestica (16.83%), and Lucilia sericata (13.19%), accounting for 84.10% of the total fly counts. The overall fly density decreased from 2014 to 2019. The fly density peaked in July. In terms of different habitats, greenbelt had the highest fly density (6.20 flies/cage), followed by hotels (5.49 flies/cage) and residential areas (4.88 flies/cage). The dominant fly species in greenbelt and residential areas were Sarcophagidae and M. domestica, respectively. Conclusion This study reveals the fly density, species composition, and seasonal fluctuation in Dongcheng district. Fly control should focus on greenbelt and hotels. The fly density peaks in July, suggesting that fly control measures should be taken before the peak.

Key words: Fly density, Surveillance, Species composition, Seasonal fluctuation

中图分类号:

R384.2

马卓, 魏绪强, 阙燃, 张雨侬. 北京市东城区2014－2019年蝇密度监测及季节消长分析[J]. 中国媒介生物学及控制杂志, 2020, 31(6): 690-694.

A Zhuo, WEI Xu-qiang, QUE Ran, ZHANG Yu-nong. Surveillance and analysis of fly density and seasonal fluctuation in Dongcheng district of Beijing, China, 2014-2019[J]. Chines Journal of Vector Biology and Control, 2020, 31(6): 690-694.

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