Population dynamics and seasonal migration patterns of Spodoptera exigua in northern China based on 11 years of monitoring data

The beet armyworm, (Hübner), is an important agricultural pest worldwide that has caused serious economic losses in the main crop-producing areas of China. To effectively monitor and control this pest, it is crucial to investigate its population dynamics and seasonal migration patterns in northern C...

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Vydáno v:PeerJ (San Francisco, CA) Ročník 12; s. e17223
Hlavní autoři: Ma, Hao-Tian, Zhou, Li-Hong, Tan, Hao, Xiu, Xian-Zhi, Wang, Jin-Yang, Wang, Xing-Ya
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States PeerJ. Ltd 10.04.2024
PeerJ Inc
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ISSN:2167-8359, 2167-8359
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Shrnutí:The beet armyworm, (Hübner), is an important agricultural pest worldwide that has caused serious economic losses in the main crop-producing areas of China. To effectively monitor and control this pest, it is crucial to investigate its population dynamics and seasonal migration patterns in northern China. In this study, we monitored the population dynamics of using sex pheromone traps in Shenyang, Liaoning Province from 2012 to 2022, combining these data with amigration trajectory simulation approach and synoptic weather analysis. There were significant interannual and seasonal variations in the capture number of and the total number of exceeded 2,000 individuals in 2018 and 2020. The highest and lowest numbers of were trapped in September and May, accounting for 34.65% ± 6.81% and 0.11% ± 0.04% of the annual totals, respectively. The average occurrence period was 140.9 ± 9.34 days during 2012-2022. In addition, the biomass of also increased significantly during these years. The simulated seasonal migration trajectories also revealed varying source regions in different months, primarily originated from Northeast China and East China. These unique insights into the migration patterns of will contribute to a deeper understanding of its occurrence in northern China and provide a theoretical basis for regional monitoring, early warning, and the development of effective management strategies for long-range migratory pests.
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ISSN:2167-8359
2167-8359
DOI:10.7717/peerj.17223