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2022—2023年山东省金乡县蝇类密度监测情况分析

Analysis of fly density monitoring in Jinxiang County,Shandong Province from 2022 to 2023
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摘要 目的 掌握金乡县人居及周边环境蝇类种群构成、密度、分布特点和季节消长规律,为蝇类防控工作提供科学依据。方法 以红糖食醋为诱饵,采用笼诱法在每年3—11月监测不同生境、不同种群的蝇类密度进行统计分析。结果 以厩腐蝇和麻蝇为主要优势蝇种,构成比分别为38.92%和21.34%。蝇类密度高峰期为6—9月;在农贸市场、绿化带、餐饮外环境、居民区生境中,蝇密度依次为18.25、11.72、6.25、4.53只/笼。结论 厩腐蝇、麻蝇为优势蝇种,6—9月是蝇类发生关键时期,农贸市场和绿化带是蝇类发生的重点环境,应注意在高峰期前对蝇类采取防控措施。 Objective To understand the population composition,density,distribution characteristics and seasonal fluctuation of flies in human settlements and surrounding environments in Jinxiang County,and provide scientific basis for the control of flies.Methods Using brown sugar and vinegar as bait,the density of flies in different habitats and populations was monitored by cage-trapping method from March to November each year.Results Muscina stabulans and Sarcophagidae were the dominant species,with a composition ratio of 38.92%and 21.34%,respectively.The peak density of flies was from June to September.Among different habitats such as farmers’market,green belt,outside catering environment and residential area,the density of flies was 18.25,11.72,6.25 and 4.53 flies/cage respectively.Conclusion Muscina stabulans and Sarcophagidae are the dominant species.The key period for the occurrence of flies is from June to September.Farmers’market and green belt are the key environments for the occurrence of flies.So,attention should be paid to fly control measures before the peak period.
作者 鲍丽华 杨琳琳 程鹏 王海防 BAO Lihua;YANG Linlin;CHENG Peng;WANG Haifang(Jinxiang County Center for Disease Control and Prevention,Jining,Shandong 272200,China;Jining Center for Disease Control and Prevention,Jining,Shandong 272000,China;Shandong First Medical University&Shandong Academy of Medical Sciences,Shandong Institute of Parasitic Diseases,Jining,Shandong 272033,China)
出处 《中华卫生杀虫药械》 CAS 2024年第3期245-247,250,共4页 Chinese Journal of Hygienic Insecticides and Equipments
基金 山东省医学科学院医药卫生科技创新工程 山东省医药卫生科技发展计划项目(202101050203)。
关键词 蝇类 监测 种群构成 生境 季节消长 flies monitor population composition habitats seasonal fluctuation
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