摘要
目的掌握长沙市鼠类分布情况,为制定科学合理的鼠类防制方案提供依据。方法 2006-2015年随机选取长沙市居民区、特殊行业和农村3种类型的监测点各1个,采用夹夜法,全年每月监测1次,并对数据进行统计学分析。利用差分自回归移动平均模型预测2016-2017年鼠密度。结果共捕获鼠类676只,平均密度为1.06%,褐家鼠为优势鼠种,占捕获总数的50.15%(339/676);不同生境鼠密度依次为特殊行业>农村>居民区;10年的月平均鼠密度高峰在3月,次高峰在6月;鼠密度随时间推移呈降低趋势。结论基本掌握了长沙市鼠类种群构成及季节消长情况,应根据不同生境及季节消长规律,合理制定鼠类防制方案,并坚持长期监测。
ObjectiveTo investigate the community composition of the rodents and their densities in different seasons andhabitats in Changsha city, China, and to provide a scientific basis for rodent control measures.MethodsOnce in everymonth of each year, the night trapping method was used to monitor the rodent densities at randomly selected sites, one inspecial industry, one in natural village, and one in residential community. The statistical analysis was applied to gathereddata, which was used to predict rodent density from 2016 to 2017 by autoregressive integrated moving average model.ResultsA total of 676 rodents were captured from 2006 to 2015, with a mean density of 1.06%. Of all the rodents, thepredominant species was Rattus norvegicus, amounting 50.15%(339/676). The density of the rodent was the highest in thespecial industry followed by the natural village and residential community. The monthly seasonal fluctuations of the rodentmean density during a 10- year period showed the first peak in March and the second peak in June. The density was founddecreasing with time during the study period.ConclusionCommunity composition and seasonal density fluctuation of therodents in Changsha city were acquired. It is suggested to take integrated rodent control measures and enhance long-termmonitoring, according to the habits and characteristics of the rodents and their seasonal density fluctuations.
出处
《中国媒介生物学及控制杂志》
CAS
CSCD
2016年第6期617-619,共3页
Chinese Journal of Vector Biology and Control
关键词
鼠密度
监测
差分自回归移动平均模型
Rodent density
Monitoring
Autoregressive integrated moving average model