dc.contributor.author | Hu, G | |
dc.contributor.author | Lu, MH | |
dc.contributor.author | Reynolds, DR | |
dc.contributor.author | Wang, HK | |
dc.contributor.author | Chen, X | |
dc.contributor.author | Liu, WC | |
dc.contributor.author | Zhu, F | |
dc.contributor.author | Wu, XW | |
dc.contributor.author | Xia, F | |
dc.contributor.author | Xie, MC | |
dc.contributor.author | Cheng, XN | |
dc.contributor.author | Lim, KS | |
dc.contributor.author | Zhai, BP | |
dc.contributor.author | Chapman, JW | |
dc.date.accessioned | 2018-10-31T14:25:28Z | |
dc.date.issued | 2018-07-24 | |
dc.description.abstract | Rice planthoppers and associated virus diseases have become the most important pests threatening food security in China and other Asian countries, incurring costs of hundreds of millions of US dollars annually in rice losses, and in expensive, environmentally harmful, and often futile control efforts. The most economically damaging species, the brown planthopper, Nilaparvata lugens (Hemiptera: Delphacidae), cannot overwinter in temperate East Asia, and infestations there are initiated by several waves of windborne spring or summer migrants originating from tropical areas in Indochina. The interaction of these waves of migrants and synoptic weather patterns, driven by the semi-permanent western Pacific subtropical high-pressure (WPSH) system, is of critical importance in forecasting the timing and intensity of immigration events and determining the seriousness of subsequent planthopper build-up in the rice crop. We analysed a 26-year data set from a standardised light trap network in Southern China, showing that planthopper aerial transport and concentration processes are associated with the characteristics (strength and position) of the WPSH in the year concerned. Then, using N. lugens abundance in source areas and indices of WPSH intensity or related sea surface temperature anomalies, we developed a model to predict planthopper numbers immigrating into the key rice-growing area of the Lower Yangtze Valley. We also demonstrate that these WPSH-related climatic indices combined with early-season planthopper catches can be used to forecast, several months in advance, the severity of that season’s N. lugens infestations (the correlation between model predictions and outcomes was 0.59), thus allowing time for effective control measures to be implemented. | en_GB |
dc.description.sponsorship | GH’s visiting scholarship at the University of Exeter was funded by the China Scholarship Council. The project was supported by the National Natural Science Foundation of China (NSFC) Grant (31772155) and the Natural Science Foundation of Jiangsu Province, China (BK20170026) to GH, and Biotechnology and Biological Sciences Research Council (BBSRC) grant (BB/J004286/1) to JWC. Rothamsted Research is a national institute of bioscience strategically funded by the UK Biotechnology and Biological Sciences Research Council. | en_GB |
dc.identifier.citation | Published online 24 July 2018 | en_GB |
dc.identifier.doi | 10.1007/s10340-018-1022-9 | |
dc.identifier.uri | http://hdl.handle.net/10871/34571 | |
dc.language.iso | en | en_GB |
dc.publisher | Springer Verlag | en_GB |
dc.rights | © 2018, The Author(s). Open Access.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | en_GB |
dc.subject | Nilaparvata lugens | en_GB |
dc.subject | Windborne insect migration | en_GB |
dc.subject | Atmospheric circulation | en_GB |
dc.subject | Rice pests | en_GB |
dc.subject | Planthopper risk prediction | en_GB |
dc.subject | Western Pacific subtropical high-pressure system | en_GB |
dc.title | Long-term seasonal forecasting of a major migrant insect pest: the brown planthopper in the Lower Yangtze River Valley | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-10-31T14:25:28Z | |
dc.identifier.issn | 1612-4758 | |
dc.description | This is the final version. Available on open access from Springer Verlag via the DOI in this record | en_GB |
dc.identifier.journal | Journal of Pest Science | en_GB |