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南京城区美国白蛾发生规律探析

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2019-2023年对美国白蛾在南京市主城4区(鼓楼区、建邺区、秦淮区、玄武区)的发生规律进行了调查和分析,根据这5 a内美国白蛾成虫种群动态变化,幼虫危害情况及每年越冬蛹基数的调查,总结得出南京市主城区美国白蛾生活史.根据气象因子的数据汇总,并选取几种气象因子与每代成虫发生量进行相关性分析得出:与越冬代成虫羽化量最显著相关的气象因子为旬平均相对湿度,相关性R2=0.912 5;与第1代成虫羽化量最显著相关的气象因子为旬平均相对湿度,相关性R2=0.612 4;与第2代成虫羽化量最显著相关的气象因子为旬总降雨量,R2=0.999 8.利用回归法建立了南京市主城区美国白蛾发生期预测模型,以期为长江中下游其他城市地区预测美国白蛾发生趋势和开展防治工作提供一定参考.
Analysis of the occurrence patterns of Hyphantria cunea Drury in urban areas of Nanjing
From 2019 to 2023,an investigation was conducted on the occurrence patterns of Hyphantria cunea Drury in the four main urban areas of Nanjing City(Gulou District,Jianye District,Qinhuai District,and Xuanwu District).Based on the dynamic changes of the adult population,larval infestation status,and the annual overwintering pupal counts of H.cunea Drury over these five years,the author has summarized the life history of the pest in Nanjing.By summarizing the meteorological factor data and performing a correlation analysis between several factors and the number of emerging adults in each generation,it was found that the meteorological factor most significantly correlated with the emergence of the overwin-tering generation was the decadal average relative humidity,with R2 value of 0.912 5.The most significant meteorological factor correlated with the emergence of the first generation adults was also the decadal average relative humidity,with R2 value of 0.612 4.For the second generation,the most significant factor was the decadal total rainfall,with an R2 value of 0.999 8.A forecasting model for the occurrence period of H.cunea Drury in Nanjing was established using regression meth-ods,aiming to providing a reference for predicting the trend of the H.cunea Drury occurrence and carrying out prevention and control efforts in other cities and regions in the middle and lower reaches of the Yangtze River.

Hyphantria cunea DruryOccurrence patternMeteorological factorUrban area of Nanjing

戴伟、奚月明、游琳琳、刘贺佳、冯婷

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南京市林业站,江苏 南京 210000

南京沐森林业科技有限公司,江苏 南京 210000

美国白蛾 发生规律 气象因子 南京城区

江苏省林业科技创新与推广项目

LYKJ[2019]04

2024

江苏林业科技
江苏省林业科学研究院 江苏省林业科技情报中心

江苏林业科技

影响因子:0.461
ISSN:1001-7380
年,卷(期):2024.51(2)