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凯里市黑腹绒鼠种群数量变动规律
引用本文:杨再学,雷邦海,金星,郭永旺,杨通武.凯里市黑腹绒鼠种群数量变动规律[J].中国农学通报,2013,29(36):378-381.
作者姓名:杨再学  雷邦海  金星  郭永旺  杨通武
作者单位:1. 贵州省余庆县植保植检站2. 贵州省凯里市植保植检站3. 贵州省植保植检站4. 全国农业技术推广服务中心
基金项目:国家农业行业科研专项经费项目“主要农作物鼠害调查综合分析研究”;贵州省高层次人才科研条件特助经费项目“贵州省常见害鼠种群生态特征研究”
摘    要:为了摸清黑腹绒鼠种群组成及种群数量变动规律,给其防治提供科学依据。对1984-2012年贵州省凯里市历年鼠情系统监测资料分析。结果表明:黑腹绒鼠主要栖息于稻田、旱地耕作区,占总鼠数的6.60%,为当地常见鼠种之一;稻田、旱地耕作区平均捕获率为0.42%,不同月份种群数量波动较大,全年种群数量在5—6月和9—11月出现2个数量高峰,平均捕获率分别为0.50%~0.53%和0.43%~0.54%,呈典型的双峰型曲线。说明不同年度、季节种群数量存在显著差异,不同地区之间种群数量季节变化存在一定差异。每年4月和8月为当地该鼠的最佳防治时期。

关 键 词:防治措施  防治措施  
收稿时间:2012/12/20 0:00:00
修稿时间:1/9/2013 12:00:00 AM

Fluctuation Law of Population Quantity of Eothenomys melanogaster in Kaili City
Yang Zaixue,Lei Banghai,Jin Xing,Guo Yongwang,Yang Tongwu.Fluctuation Law of Population Quantity of Eothenomys melanogaster in Kaili City[J].Chinese Agricultural Science Bulletin,2013,29(36):378-381.
Authors:Yang Zaixue  Lei Banghai  Jin Xing  Guo Yongwang  Yang Tongwu
Institution:2 (1Plant Protection Station of Guizhou Yuqing County, Yuqing Guizhou 564400; 2plant Protection Station of Guizhou Kaili City, Guizhou Kaili 556000; 3Guizhou Plant Protection Station, Guizhou Guiyang 550001; 4National Agro-tech Extensions and Service Center, Beijing 100026)
Abstract:In order to find out population composition and population fluctuation law of Eothenomys melanogaster and provide scientific basis for control, the systematic monitoring results of rat situation in Kaili City, Guizhou Province from 1984 to 2012 were analyzed. The analysis results showed that the Eothenomys melanogaster mainly distribute in the paddyfield and dryland, accounting for 6.60% of the total quantity. It's one of the common rat kinds in local. The average capture rate in paddyfield and dryland was 0.42%. There was significant difference in population between different months. There were 2 population peaks in May to June and September to November within a year. The average capture rate were 0.50%-0.53% and 0.43%-0.54%, respectively. The peak presented a typical bimodal curve. Population quantity showed difference in different years and different seasons. Population quantity seasonal variation also showed difference in different regions. April and August was the best control period.
Keywords:Kaili City
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