国立研究開発法人 国際農林水産業研究センター | JIRCAS

Assessing Nonlinearity in Fish Habitat Preference of Japanese Medaka (<I>Oryzias latipes</I>) Using Genetic Algorithm ? Optimized Habitat Prediction Models

JARQ : Japan Agricultural Research Quarterly
ISSN
00213551
書誌レコードID(総合目録DB)
AA0068709X
本文フルテキスト

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.

刊行年月2008-04-01
作成者FUKUDA ShinjiOKUSHIMA Shuji
著者キーワード

freshwater fish

fuzzy reasoning

habitat evaluation

paddy environment

parameter optimization

公開者Japan International Research Center for Agricultural Sciences
データ作成日2008-04-01
国立情報学研究所メタデータ主題語彙集(資源タイプ)Journal Article
42
2
開始ページ97
終了ページ107
DOI10.6090/jarq.42.97
権利Japan International Research Center for Agricultural Sciences
言語eng