摘要
目的调查四川省城镇和农村人居环境鼠形动物(以下简称“鼠”)种群构成、季节消长和密度情况,为指导鼠类防控提供科学依据。方法2021年选择四川省14个市作为监测点,采用夹夜法进行鼠密度监测,每月1次,每个监测点包括城镇和农村人居环境两种生境类型。采用Excel 2013和SPSS 20.0软件对监测数据进行统计分析,鼠密度差异比较采用χ^(2)检验。结果2021年共捕获鼠500只,平均密度为0.74%;城镇生境鼠密度为0.58%,农村生境鼠密度为0.90%,不同生境鼠密度差异有统计学意义(χ^(2)=7.798,P=0.005);城镇生境以褐家鼠为主要优势种,农村生境以四川短尾鼩为主要优势种;全年总体鼠密度呈不规则分布。结论此次研究已基本掌握四川省鼠类种群构成及季节消长情况,建议继续加强鼠类综合治理工作,将鼠密度控制在较低水平。
Objective To investigate the composition,seasonal regression,and densities of rodent populations in urban and rural human settlements in Sichuan Province,so as to provide a scientific basis for guiding the prevention and control of rodents.Methods In 2021,fourteen cities were selected as surveillance sites in Sichuan Province.Rodent density was monitored monthly.Each monitoring site included two habitat types,urban and rural human settlements.Statistical analyses of surveillance data were performed using Excel 2013 and SPSS 20.0 software,with rodent density disparities assessed through Chi-square tests.Results In 2021,a total of 500 rodents were captured,with an average density of 0.74%.Density in urban habitat of rodents was 0.58%,while in rural habitat of rodents was 0.90%.The disparity in rodent densities between different habitats was statistically significant(χ^(2)=7.798,P=0.005).It was found that Rattus norvegicus was the dominant species in urban habitat,whereas Anourosorex squamipes was the dominant species in rural habitat.Overall,rodent density displayed irregular distribution throughout the year.Conclusion This study has basically grasped the composition and seasonal regression of the rodent population in Sichuan Province.It is recommended to strengthen integrated rodent management efforts to maintain rodent density at lower levels.
作者
余技钢
胡雅劼
李观翠
李玲玲
李宇斯
YU Jigang;HU Yajie;LI Guancui;LI Lingling;LI Yusi(Sichuan Center for Disease Control and Prevention,Chengdu,Sichuan 610041,China)
出处
《医学动物防制》
2024年第9期866-869,共4页
Journal of Medical Pest Control
基金
2021年四川省卫生健康委员会医学科技项目(21PJ122)
2021年中央补助基本公共卫生服务项目(川财社[2021]165号)。
关键词
鼠
密度
监测
种群构成
季节消长
控制
Rodent
Density
Surveillance
Species composition
Seasonal regression
Control
