Real-time prediction system for migration of rice planthoppers Sogatella furcifera (Horvath) and Nilaparvata lugens (Stal) (Homoptera: Delphacidae)
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- Otuka Akira
- Department of Information Science and Technology, National Agricultural Research Center, Japan
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- Watanabe Tomonari
- Department of Information Science and Technology, National Agricultural Research Center, Japan
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- Suzuki Yoshito
- Department of Information Science and Technology, National Agricultural Research Center, Japan
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- Matsumura Masaya
- Department of Plant Protection, National Agricultural Research Center for Kyushu Okinawa Region, Japan
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- Furuno Akiko
- Department of Environmental Science, Tokai Research Establishment, Japan Atomic Energy Research Institute
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- Chino Masamichi
- Department of Environmental Science, Tokai Research Establishment, Japan Atomic Energy Research Institute
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抄録
The white-backed planthopper, Sogatella furcifera, and the brown planthopper, Nilaparvata lugens, are pests of rice and migrate from south China to Japan in the rainy season of early summer. In order to achieve high-precision migration prediction, a real-time prediction system was developed. In this system, the latest meteorological data are supplied online to an advanced numerical weather prediction model, MM5. The model forecasts three-dimensional atmospheric fields at one-hour intervals. In these fields, a planthopper migration simulation model, GEARN, calculates movement of a number of modeled planthoppers and predicts their relative aerial density at three-hour intervals. The results are converted to maps and become available on the Internet. The maps of relative aerial density provide information about the timing and area of migrations over the next two days. During the main migration season in June and July 2003, the system achieved a prediction quality that was comparable to that of rainfall forecasts by the Japanese Meteorological Agency.
収録刊行物
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- Applied Entomology and Zoology
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Applied Entomology and Zoology 40 (2), 221-229, 2005
日本応用動物昆虫学会
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詳細情報 詳細情報について
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- CRID
- 1390282681220498176
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- NII論文ID
- 110001263035
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- NII書誌ID
- AA00543238
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- ISSN
- 1347605X
- 00036862
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- NDL書誌ID
- 7316019
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 使用不可