Assessing Nonlinearity in Fish Habitat Preference of Japanese Medaka (Oryzias latipes) Using Genetic Algorithm ^|^ndash; Optimized Habitat Prediction Models

• FUKUDA Shinji

  Institute of Tropical Agriculture, Kyushu University

• OKUSHIMA Shuji

  Department of Planning and General Administration, National Institute for Rural Engineering

書誌事項

タイトル別名

• Assessing Nonlinearity in Fish Habitat Preference of Japanese Medaka (<I>Oryzias latipes</I>) Using Genetic Algorithm – Optimized Habitat Prediction Models
• Assessing nonlinearity in fish habitat preference of Japanese medaka (Oryzias latipes) using genetic algorithm-optimized habitat prediction models

抄録

The present study assessed nonlinearity in habitat preferences of Japanese medaka (Oryzias latipes) using genetic algorithm-optimized fuzzy habitat preference models incorporating the environmental factors of water depth (depth), current velocity (velocity), lateral cover ratio (cover), and percent vegetation coverage (vegetation). A linear relationship appeared between habitat preferences for cover and vegetation, which suggest the independent relationship between two factors. The habitat preference for velocity was found to have a nonlinear relationship with those for cover and vegetation, which appeared as different preference curves evaluated by the single-factor model. The habitat preference curves were affected by interactions between the environmental factors, especially those with nonlinear relationships, which resulted in different predictions of spatial distribution of the fish. Based on the present results, the use of a multiplex modeling approach, as applied in this study, would be appropriate to achieve better prediction accuracy, thus leading to more reliable habitat evaluation.

収録刊行物

• Japan Agricultural Research Quarterly: JARQ

  Japan Agricultural Research Quarterly: JARQ 42 (2), 97-107, 2008

  国立研究開発法人　国際農林水産業研究センター

キーワード

• freshwater fish
• fuzzy reasoning
• habitat evaluation
• paddy environment
• parameter optimization,

詳細情報

• CRID: 1390001204701795968
• NII論文ID: 130003377721
• DOI: 10.6090/jarq.42.97
• ISSN: 21858896
• ISSN: 00213551
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可