Real-time prediction system for migration of rice planthoppers Sogatella furcifera (Horvath) and Nilaparvata lugens (Stal) (Homoptera: Delphacidae)

• Otuka Akira

  Department of Information Science and Technology, National Agricultural Research Center, Japan

• Watanabe Tomonari

  Department of Information Science and Technology, National Agricultural Research Center, Japan

• Suzuki Yoshito

  Department of Information Science and Technology, National Agricultural Research Center, Japan

• Matsumura Masaya

  Department of Plant Protection, National Agricultural Research Center for Kyushu Okinawa Region, Japan

• Furuno Akiko

  Department of Environmental Science, Tokai Research Establishment, Japan Atomic Energy Research Institute

• Chino Masamichi

  Department of Environmental Science, Tokai Research Establishment, Japan Atomic Energy Research Institute

Abstract

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.

Journal

• Applied Entomology and Zoology

  Applied Entomology and Zoology 40 (2), 221-229, 2005

  JAPANESE SOCIETY OF APPLIED ENTOMOLOGY AND ZOOLOGY

Keywords

• <i>Sogatella furcifera</i>
• <i>Nilaparvata lugens</i>
• long-distance migration
• real-time prediction
• numerical simulation

Details

• CRID: 1390282681220498176
• NII Article ID: 110001263035
• NII Book ID: AA00543238
• DOI: 10.1303/aez.2005.221
• ISSN: 1347605X
• ISSN: 00036862
• NDL BIB ID: 7316019
• Web Site: http://id.ndl.go.jp/bib/7316019
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I7316019
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed