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杨小舟蛾短期预测预报研究
引用本文:侯丽伟,王福维,李晓颖,高立军,李贞淑,陈域横.杨小舟蛾短期预测预报研究[J].林业科学研究,1999,12(6):699-672.
作者姓名:侯丽伟  王福维  李晓颖  高立军  李贞淑  陈域横
作者单位:1. 吉林省林业生物防治中心站,吉林长春,130012
2. 吉林省长岭县森林病虫害防治站,吉林长岭,131506
摘    要:杨小舟蛾(MicromelophatroglodytaGraeser)是吉林省西部杨树(Populusspp.)主要食叶害虫,曾于1987~1988年和1997年在长岭、乾安、双辽、扶余等县(市)大面积发生,危害猖獗,在短期内将树叶全部吃光,造成了很大的经济损失。该虫种群增殖很快,极易在短期内暴发成灾,因此对杨小舟蛾预测预报的研究,不论在理论上还是在生产应用上都具有十分重要的意义。1 研究方法1.1 生物学特性的研究于1989年和1998年春在杨小舟蛾的发生区——吉林省长岭县太平川林场和前郭县王…

关 键 词:杨小舟蛾  杨树  预测预报:数学模型
文章编号:1001-1498(1999)06-0669-04
收稿时间:1998/9/11 0:00:00

Study on Shortern Forecast of Micromelopha troglodyta
HOU Li-wei,WANG Fu-wei,LI Xiao-ying,GAO Li-jun,LI Zhen-shu and CHEN Yu-heng.Study on Shortern Forecast of Micromelopha troglodyta[J].Forest Research,1999,12(6):699-672.
Authors:HOU Li-wei  WANG Fu-wei  LI Xiao-ying  GAO Li-jun  LI Zhen-shu and CHEN Yu-heng
Affiliation:Forest Biocontrol Central Station of Jilin Province, Changchun 130012, Jilin, China;Forest Biocontrol Central Station of Jilin Province, Changchun 130012, Jilin, China;Forest Biocontrol Central Station of Jilin Province, Changchun 130012, Jilin, China;Forest Biocontrol Central Station of Jilin Province, Changchun 130012, Jilin, China;Forest Biocontrol Central Station of Jilin Province, Changchun 130012, Jilin, China;Forest Disease and Pest Control and Quarantine Station of Changling County, Jilin Province, Changling 131506, Jilin, China
Abstract:This paper deals with the bionomics of Micromelopha troglodyta.The pest has 2 generations a year and overwinters in pupa in the fallen leaves.In the food lack condition,the last instar larvae is compelled to pupate in advance,the mass of the pupa is much lighter than that of normal pupa.If the mass of the pupa is below 90 mg,it can not emerge.The mathematical model between the probability of the female and the pupa mass is Yi=-6.22+3.256 logXi.The mathematical model between amount of the female eggs and the pupa mass is Yi'=-1 886.3+1 014.4 logXi.Applying these mathematical models,we can forecast the population dynamics of M.troglodyta.
Keywords:Micromelopha troglodyta  Populus  forecast  mathematical models
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