2014—2017年遵义市蝇类种群密度监测及季节消长分析
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摘要
目的了解2014—2017年遵义市蝇类种群密度及季节消长情况,为有效防治蝇类提供科学依据。方法采用笼诱法,5—10月调查蝇类种群密度。结果共捕获蝇类8种2 233只,平均密度为0. 839只/笼,2014—2017年4个年度的蝇种群监测密度分别为0. 240、0. 203、0. 209和0. 188只/笼。家蝇、市蝇、大头金蝇和厕蝇密度居前4位,10月蝇类的密度最高,为1. 05只/笼; 5月蝇类密度最低,为0. 58只/笼。不同生境蝇类的平均密度以农贸市场最高,为1. 13只/笼;其次为餐馆(0. 68只/笼)、居民区(0. 38只/笼);绿化带最低,为0. 23只/笼。结论初步掌握了遵义市蝇类的种群密度和季节消长规律,为蝇类防治及蝇类传播疾病的预防提供了科学依据。
Objective To understand the fly density and its seasonal dynamics in Zunyi City from 2014 to 2017,and provide scientific basic for fly control. Methods Cage trap method was used to capture flies from May to October.Results Totally 2 233 files belonging to 8 species were captured. The overall average density was 0. 840 flies per cage,and the annual fly densities were 0. 240,0. 203,0. 209 and 0. 188 insects per cage respectively for the year of2014,2015,2016 and 2017. Musca domestica,Musca sorbens,Chrysomyiam egacephala and Fannia prisca were the dominant species. The fly density reached the peak as 1. 05 insects per cage in October. The highest fly density of1. 13 per cage was found in the farmers' markets,followed by restaurants( 0. 68 insects per cage) and residential areas( 0. 38 insects per cage),while the lowest as 0. 23 per cage in the green belt. Conclusion The fly population densities and seasonal fluctuation in Zunyi City of Guizhou Province are mastered,which provides scientific basis for fly control.
Objective To understand the fly density and its seasonal dynamics in Zunyi City from 2014 to 2017,and provide scientific basic for fly control. Methods Cage trap method was used to capture flies from May to October.Results Totally 2 233 files belonging to 8 species were captured. The overall average density was 0. 840 flies per cage,and the annual fly densities were 0. 240,0. 203,0. 209 and 0. 188 insects per cage respectively for the year of2014,2015,2016 and 2017. Musca domestica,Musca sorbens,Chrysomyiam egacephala and Fannia prisca were the dominant species. The fly density reached the peak as 1. 05 insects per cage in October. The highest fly density of1. 13 per cage was found in the farmers' markets,followed by restaurants( 0. 68 insects per cage) and residential areas( 0. 38 insects per cage),while the lowest as 0. 23 per cage in the green belt. Conclusion The fly population densities and seasonal fluctuation in Zunyi City of Guizhou Province are mastered,which provides scientific basis for fly control.
引文
[1]王陇德.病媒生物防制实用指南[M].第1版.北京:人民卫生出版社,2010:242,244-254.
[2]曹毓存,王伟杰.蝇类种群密度监测方法的探讨[J].中国媒介生物学及控制杂志,1995,6(3):175-178.
[3]冷培恩,曾晓芃,赵彤言,等.病媒生物监测方法蝇类:GB/T23798-2009[S].北京:中国标准出版社,2012.
[4]薛万琦,赵建铭.中国蝇类[M].第1版.沈阳:辽宁科学技术出版社,1996:4-5,17.
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[6]冷培恩,王明福,莫建初,等.蝇类防制工作进展与发展展望[J].中国媒介生物学及控制杂志,2015,26(3):217-222.
[7]杨雪帆,何亚明,季恒青,等.重庆市2014-2017年蝇密度监测分析[J].中华卫生杀虫药械,2017,23(3):235-237.
[8]王欣,庞松涛,雷晓岗,等.西安市2009-2012年蝇类监测结果分析[J].中国媒介生物学及控制杂志,2014,25(3):270-272.
[9]运玲,王福才,张秋芬,等. 2011-2016年唐山市蝇类种群密度及多样性分析[J].现代预防医学,2017,44(16):3048-3051.
[10]李鸿宝,李生娣.农贸市场蝇类控制不同方法比较[J].上海预防医学杂志,2009,21(12):623-624.
[11]姬淑红,冷培恩,陆崇华,等.上海市杨浦区4种不同生境蝇类种群及季节消长[J].中国媒介生物学及控制杂志,2014,25(6):577-580.
[12]周祎,庞为,邢俊. 2013年大连市不同生态环境蝇类密度及种群结构分析[J].中国校医,2014,28(11):839-841.
[13]李寿江,雷波,刘贵强,等.格尔木市2017年蝇类控制效果评估[J].中华卫生杀虫药械,2018,24(5):444-446.
[14]裘炯良,周力沛,郑剑宁,等.机器学习技术与病媒生物种属鉴定[J].中华卫生杀虫药械,2017,23(5):436-439.
[2]曹毓存,王伟杰.蝇类种群密度监测方法的探讨[J].中国媒介生物学及控制杂志,1995,6(3):175-178.
[3]冷培恩,曾晓芃,赵彤言,等.病媒生物监测方法蝇类:GB/T23798-2009[S].北京:中国标准出版社,2012.
[4]薛万琦,赵建铭.中国蝇类[M].第1版.沈阳:辽宁科学技术出版社,1996:4-5,17.
[5]徐友祥,冷培恩,王韶华,等.蝇类监测中不同饵料诱蝇效果的对比研究[J].中国媒介生物学及控制杂志,2012,23(6):522-524.
[6]冷培恩,王明福,莫建初,等.蝇类防制工作进展与发展展望[J].中国媒介生物学及控制杂志,2015,26(3):217-222.
[7]杨雪帆,何亚明,季恒青,等.重庆市2014-2017年蝇密度监测分析[J].中华卫生杀虫药械,2017,23(3):235-237.
[8]王欣,庞松涛,雷晓岗,等.西安市2009-2012年蝇类监测结果分析[J].中国媒介生物学及控制杂志,2014,25(3):270-272.
[9]运玲,王福才,张秋芬,等. 2011-2016年唐山市蝇类种群密度及多样性分析[J].现代预防医学,2017,44(16):3048-3051.
[10]李鸿宝,李生娣.农贸市场蝇类控制不同方法比较[J].上海预防医学杂志,2009,21(12):623-624.
[11]姬淑红,冷培恩,陆崇华,等.上海市杨浦区4种不同生境蝇类种群及季节消长[J].中国媒介生物学及控制杂志,2014,25(6):577-580.
[12]周祎,庞为,邢俊. 2013年大连市不同生态环境蝇类密度及种群结构分析[J].中国校医,2014,28(11):839-841.
[13]李寿江,雷波,刘贵强,等.格尔木市2017年蝇类控制效果评估[J].中华卫生杀虫药械,2018,24(5):444-446.
[14]裘炯良,周力沛,郑剑宁,等.机器学习技术与病媒生物种属鉴定[J].中华卫生杀虫药械,2017,23(5):436-439.