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The Influence of Typhoon Khanun on the Return Migration of Nilaparvata lugens (Stål) in Eastern China
Migratory insects adapt to and exploit the atmospheric environment to complete their migration and maintain their population. However, little is known about the mechanism of insect migration under the influence of extreme weather conditions such as typhoons. A case study was conducted to investigate...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3578852/ https://www.ncbi.nlm.nih.gov/pubmed/23468954 http://dx.doi.org/10.1371/journal.pone.0057277 |
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author | Hu, Gao Lu, Fang Lu, Ming-Hong Liu, Wan-Cai Xu, Wei-Gen Jiang, Xue-Hui Zhai, Bao-Ping |
author_facet | Hu, Gao Lu, Fang Lu, Ming-Hong Liu, Wan-Cai Xu, Wei-Gen Jiang, Xue-Hui Zhai, Bao-Ping |
author_sort | Hu, Gao |
collection | PubMed |
description | Migratory insects adapt to and exploit the atmospheric environment to complete their migration and maintain their population. However, little is known about the mechanism of insect migration under the influence of extreme weather conditions such as typhoons. A case study was conducted to investigate the effect of typhoon Khanun, which made landfall in the eastern China in Sept. 2005, on the migration of brown planthopper, Nilaparvata lugens (Stål). The migration pathways of N. lugens were reconstructed for the period under the influence of the typhoon by calculating trajectories using the MM5, a mesoscale numerical weather prediction model, and migration events were examined in 7 counties of the Yangtze River Delta region with ancillary information. The light trap catches and field observations indicated that the migration peak of N. lugens coincided with the period when the typhoon made landfall in this region. The trajectory analyses revealed that most emigrations from this region during this period were hampered or ended in short distances. The sources of the light-trap catches were mainly located the nearby regions of each station (i.e. mostly less than 100 km away, with a few exceeding 200 km but all less than 300 km). This disrupted emigration was very different from the usual N. lugens migration which would bring them to Hunan, Jiangxi, and southern Anhui from this region at this time of year. This study revealed that the return migration of N. lugens was suppressed by the typhoon Khanun, leading to populations remaining high in the Yangtze River Delta and exacerbating later outbreaks. |
format | Online Article Text |
id | pubmed-3578852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35788522013-03-06 The Influence of Typhoon Khanun on the Return Migration of Nilaparvata lugens (Stål) in Eastern China Hu, Gao Lu, Fang Lu, Ming-Hong Liu, Wan-Cai Xu, Wei-Gen Jiang, Xue-Hui Zhai, Bao-Ping PLoS One Research Article Migratory insects adapt to and exploit the atmospheric environment to complete their migration and maintain their population. However, little is known about the mechanism of insect migration under the influence of extreme weather conditions such as typhoons. A case study was conducted to investigate the effect of typhoon Khanun, which made landfall in the eastern China in Sept. 2005, on the migration of brown planthopper, Nilaparvata lugens (Stål). The migration pathways of N. lugens were reconstructed for the period under the influence of the typhoon by calculating trajectories using the MM5, a mesoscale numerical weather prediction model, and migration events were examined in 7 counties of the Yangtze River Delta region with ancillary information. The light trap catches and field observations indicated that the migration peak of N. lugens coincided with the period when the typhoon made landfall in this region. The trajectory analyses revealed that most emigrations from this region during this period were hampered or ended in short distances. The sources of the light-trap catches were mainly located the nearby regions of each station (i.e. mostly less than 100 km away, with a few exceeding 200 km but all less than 300 km). This disrupted emigration was very different from the usual N. lugens migration which would bring them to Hunan, Jiangxi, and southern Anhui from this region at this time of year. This study revealed that the return migration of N. lugens was suppressed by the typhoon Khanun, leading to populations remaining high in the Yangtze River Delta and exacerbating later outbreaks. Public Library of Science 2013-02-21 /pmc/articles/PMC3578852/ /pubmed/23468954 http://dx.doi.org/10.1371/journal.pone.0057277 Text en © 2013 Hu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hu, Gao Lu, Fang Lu, Ming-Hong Liu, Wan-Cai Xu, Wei-Gen Jiang, Xue-Hui Zhai, Bao-Ping The Influence of Typhoon Khanun on the Return Migration of Nilaparvata lugens (Stål) in Eastern China |
title | The Influence of Typhoon Khanun on the Return Migration of Nilaparvata lugens (Stål) in Eastern China |
title_full | The Influence of Typhoon Khanun on the Return Migration of Nilaparvata lugens (Stål) in Eastern China |
title_fullStr | The Influence of Typhoon Khanun on the Return Migration of Nilaparvata lugens (Stål) in Eastern China |
title_full_unstemmed | The Influence of Typhoon Khanun on the Return Migration of Nilaparvata lugens (Stål) in Eastern China |
title_short | The Influence of Typhoon Khanun on the Return Migration of Nilaparvata lugens (Stål) in Eastern China |
title_sort | influence of typhoon khanun on the return migration of nilaparvata lugens (stål) in eastern china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3578852/ https://www.ncbi.nlm.nih.gov/pubmed/23468954 http://dx.doi.org/10.1371/journal.pone.0057277 |
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