An Adaptive Modeling Technique for Instream Fish Habitat Preference of Japanese Medaka (Oryzias Latipes) - 九大コレクション

＜紀要論文＞
An Adaptive Modeling Technique for Instream Fish Habitat Preference of Japanese Medaka (Oryzias Latipes)

作成者	作成者名 Fukuda, Shinji 福田, 信二フクダ, シンジ所属機関所属機関名 Graduate School of Bioresource and Bioenvironmental Sciences
	著者識別子 K001582 作成者名 Hiramatsu, Kazuaki 平松, 和昭ヒラマツ, カズアキ所属機関所属機関名 Faculty of Agriculture, Kyushu Unviersity
	著者識別子 K001643 作成者名 Mori, Makito 森, 牧人モリ, マキト所属機関所属機関名 Faculty of Agriculture, Kyushu Unviersity
	作成者名 Shikasyo, Shiomi 四ヶ所, 四男美シカショ, シオミ所属機関所属機関名 Professor Emeritus of Kyushu University
本文言語	英語
出版者	Faculty of Agriculture, Kyushu University
出版者	九州大学大学院農学研究院
発行日	2005-10-01
収録物名	九州大学大学院農学研究院紀要
巻	50
号	2
開始ページ	363
終了ページ	373
出版タイプ	Version of Record
アクセス権	open access
Crossref DOI	https://doi.org/10.5109/4649
関連情報	Journal of the Faculty of Agriculture, Kyushu University \|\| 50(2) \|\| p363-373
	九州大学大学院農学研究院紀要 \|\| 50(2) \|\| p363-373
	http://www.agr.kyushu-u.ac.jp/index.html

ファイル	ファイルタイプ	サイズ	閲覧回数	説明
p363	pdf	703 KB	235

PISSN	0023-6152
NCID	AA00697606
レコードID	4649
査読有無	査読無
ISSN	0023-6152
NCID	AA00697606
注記	It is widely known that habitat selections of riverine fish differ within and between rivers. In our past study, the preference intensity of Japanese Medaka (Oryzias latipes) to three environmental factors of water depth, current velocity and cover ratio was quantified on laboratory open-channel experiments for developing a general habitat preference model. A simplified fuzzy reasoning method was introduced in consideration of essential vagueness of fish behaviors. The fuzzy preference intensity model was then optimally searched with a simple genetic algorithm and was successfully verified by both labotory water tank experiments and on-the-spot examination. The results indicated that this general model showed agreement between predicted and observed spatial distribution of target fish, but the habitat preference models are still desired to be developed through field studies. In this study, we propose and adaptive modeling technique for instream fish habitat preference by conjugating the fish preference intensify model developed in laboratory experiments. The adaptive prediction model was also determined by simple genetic algorithm, which enabled us to model the habitat preference of instream resident fosh with insufficient data.
登録日	2009.04.22
更新日	2022.11.11