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鲁西南地区灯诱昆虫种类调查及优势种群动态分析
引用本文:王祥会,焦玉霞,王圣楠,惠祥海,闫硕.鲁西南地区灯诱昆虫种类调查及优势种群动态分析[J].中国农学通报,2021,37(2):116-122.
作者姓名:王祥会  焦玉霞  王圣楠  惠祥海  闫硕
作者单位:1.山东省邹城市农业技术推广服务中心,山东邹城 273500;2.济南祥辰科技有限公司,济南 251401;3.中国农业大学植保学院,北京 100193
基金项目:祥辰无偿科技资助项目“祥辰智能虫情测报灯的功能性研究与开发”(2019XCKJ02066)
摘    要:为了进一步明确鲁西南地区的农业昆虫发生种类及优势种群发生动态,2019年5—9月,笔者在山东省邹城市面坊片区和沈庄片区设置自动虫情测报灯,系统诱集昆虫并鉴定,并对该区域优势种群的发生动态进行分析。诱集结果表明:2019年鲁西南地区灯诱昆虫种类包含6目19科56种,共计53744头昆虫。发生期历时近180天,其中6月中旬—8月下旬为鲁西南地区昆虫的发生盛期,笔者并对危害当地的重要害虫优势种群进行消长动态分析。昆虫优势种群的种类调查和动态分析将有利于及时掌握当地的害虫发生情况,为今后的农业生产提供技术指导。

关 键 词:种群动态  虫情测报灯  发生盛期  预测预报  
收稿时间:2020-03-04

Insects by Light Trap in Southwest Shandong: Species Investigation and Dominant Population Dynamics
Wang Xianghui,Jiao Yuxia,Wang Shengnan,Hui Xianghai,Yan Shuo.Insects by Light Trap in Southwest Shandong: Species Investigation and Dominant Population Dynamics[J].Chinese Agricultural Science Bulletin,2021,37(2):116-122.
Authors:Wang Xianghui  Jiao Yuxia  Wang Shengnan  Hui Xianghai  Yan Shuo
Institution:1.Zoucheng Agro-Technology Extension and Service Center, Zoucheng Shandong 273500;2.Jinan Xiangchen Technology Co., LTD., Jinan Shandong 251401;3.College of Plant Protection, China Agricultural University, Beijing 100193
Abstract:In order to clarify the insect species and the dominant population dynamics in southwest Shandong, the automatic forecast lamps were set up in Mianfang and Shenzhuang of Zoucheng from May to September, 2019. The trapped insects were identified and the population dynamics of dominant insect species were analyzed. The results revealed that there were 53744 insects in total, which belonged to 56 species, 19 families, and 6 orders. The occurrence period was nearly 180 d, the full occurrence was from mid-June to late August, and the population dynamics of dominant species were analyzed. The investigation of insect species and the analysis of dominant population dynamics will benefit the understanding of the occurrence of insect spests in southwest Shandong and provide references for local agricultural production.
Keywords:population dynamics  automatic forecast lamp  the peak of occurrence  prediction and forecast  
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