中国媒介生物学及控制杂志 ›› 2018, Vol. 29 ›› Issue (5): 494-498.DOI: 10.11853/j.issn.1003.8280.2018.05.019

• 调查研究 • 上一篇    下一篇

浙江省宁波地区2006-2016年蝇类种群监测及密度消长规律分析

王桂安, 徐荣, 朱光锋, 马晓   

  1. 宁波市疾病预防控制中心消毒与媒介生物防制所, 浙江 宁波 315010
  • 收稿日期:2018-05-10 出版日期:2018-10-20 发布日期:2018-10-20
  • 通讯作者: 马晓,Email:max@nbcdc.org.cn
  • 作者简介:王桂安,男,主管医师,主要从事病媒生物监测研究,Email:wangguian125@163.com
  • 基金资助:
    浙江省医学重点学科项目(07-013)

Analysis of population monitoring and density seasonal abundance of flies from 2006 to 2016 in Ningbo, China

WANG Gui-an, XU Rong, ZHU Guang-feng, MA Xiao   

  1. Ningbo Center for Disease Control and Prevention, Ningbo 315010, Zhejiang Province, China
  • Received:2018-05-10 Online:2018-10-20 Published:2018-10-20
  • Supported by:
    Support by the Zhejiang Province Key Subject of Medicine (No. 07-013)

摘要: 目的 掌握宁波地区蝇类种群构成及密度季节消长规律,为政府制订蝇类病媒生物防制策略提供科学依据。方法 以红糖食醋为诱饵,采用笼诱法在2006-2016年每年的3-12月监测不同生境、不同种群的蝇类密度,统计分析蝇类密度及构成。结果 大头金蝇、家蝇、丝光绿蝇和铜绿蝇为宁波地区的优势蝇种,4类蝇种占总捕蝇量的80.71%,每年5-10月为蝇类活跃期,总体蝇类密度峰值出现在6月,为23.67只/笼,但各年峰值期不一致,最晚出现在9月。2012年开始宁波市蝇类密度下降明显,从2013年开始家蝇密度超过大头金蝇。绿化带和居民区蝇密度季节消长趋势呈现双峰分布,峰值分别出现在7、9月和6、9月;餐饮外环境中蝇密度呈现以6月为峰值期的单峰分布,农贸市场蝇密度季节变化峰不突出,5-9月均较高。结论 宁波地区蝇类密度总体呈现下降趋势,但家蝇防制效果较其他蝇类要差,应重视对蝇类防制人员的技术培训,倡导对重点生境中优势蝇种采取综合治理措施,以降低蝇类传播疾病的发生。

关键词: 蝇密度, 监测, 季节消长

Abstract: Objective Master the population composition and seasonal abundance of the flies to provide scientific evidences for formulating vector control strategies by the government. Methods Monitoring the populations of flies from March to December in 2006-2016 in different environments with brown sugar and vinegar, to analyze the density and composition of flies. Results Chrysomya megacephala, Musca domestica, Lucilia sericata, and L. cuprina were the predominant species of flies in Ningbo area, which accounted for 80.71% of the total flies. The active phase of flies was from May to October each year, the peak of fly density occurred in June (23.67 flies/cage), but the peaks in different years were inconsistent and the latest appeared in September. The density of flies decreased obviously from 2012, density of M. domestica exceeded Chrysomya megacephala since 2013. The seasonal abundance of flies showed bimodal distribution in the green belts and residential areas, the peaks appeared in July and September, and in June and September, respectively. The density of flies in external environments associated with food processing facilities presented a unimodal distribution with peak in June. The peak of fly populations in market places was not prominent, density was higher during May to September than other months. Conclusion The density of flies generally showed a decreasing trend, but the control efficacy of house flies was lower than that of other flies. We should pay more attention to technical training of flies control persons, and to advocate integrated management of predominant fly species in key habitats to reduce the occurrence of flies-transmitted diseases.

Key words: Population density of flies, Monitoring, Seasonal fluctuation

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