CLASSIFICATION TECHNIQUE OF MACHINE LEARNING AS SPECIES DISTRIBUTION MODEL FOR EXOTIC FISH IN RIVERS
Author:
Affiliation:
1. Dept. of Civil Engineering, Tokyo Institute of Technology
Publisher
Japan Society of Civil Engineers
Link
https://www.jstage.jst.go.jp/article/jscejhe/72/4/72_I_1153/_pdf
Reference28 articles.
1. 1) Guisan, A. & Thuiller, W. Predicting species distribution : Offering more than simple habitat models. Ecol. Lett. 8, 993-1009 (2005).
2. 2) Conti, L., Comte, L., Hugueny, B. & Grenouillet, G. Drivers of freshwater fish colonisations and extirpations under climate change. Ecography (Cop.). 38, 510-519 (2014).
3. 3) França, S. & Cabral, H. N. Predicting fish species richness in estuaries : Which modelling technique to use? Environ. Model. Softw. 66, 17-26 (2015).
4. 4) Ministry of Land Infrastructure Transport and Tourism. River Enviromental database. at <http://mizukoku.nilim.go.jp/ksnkankyo/>
5. 5) Ministry of Land Infrastructure Transport and Tourism. Fundamental servey manual. (2006).
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