| Budget Amount *help |
¥13,780,000 (Direct Cost: ¥10,600,000、Indirect Cost: ¥3,180,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2013: ¥8,970,000 (Direct Cost: ¥6,900,000、Indirect Cost: ¥2,070,000)
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| Outline of Final Research Achievements |
This project aimed at the application of biotelemtry for fish tracking as well as advanced computational intelligence such as random forests and other machine learning methods for predictive habitat modelling. We established a 430-m study reach in a river flowing through agriculture-dominated landscape in Fukuoka, Japan. Totaled 40 fish individuals, consisted of 4 species, were used as test fish. We successfully obtained movement tracks based on which habitat analyses have been done to identify diurnal changes in spatial distribution of each individual. The high-resolution fish positioning can be used in a small river, contributing to a better understanding and assessment of aquatic ecosystems for sustainable development.
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