正会員 博(工) 総合地球環境学研究所(〒603-8047 京都府京都市北区上賀本山457番地4)In recent years, forestation of rivers has become one of major problems in river management. In this study, we predicted potential habitat of willows, one of the major factors of forestation, by using vegetation map created by the Biodiversity Center of Japan, GIS, and maximum entropy modeling (Maxent). The base map for setting managerial objective and analyzing the factor of forestation was created by using potential distribution map and actual distribution data for willows. The results of Maxent show that the area under the curve (AUC) exceeded 0.7 and the sensitivity based on the vegetation map of the River Environment Database exceeded 0.9 in all cases. Thus, these results provided adequate accuracy that can explain the potential habitat of willows. In addition, in the case of the Saba River, density of the weir was higher in the area of actual than in the area of potential willow habitat.
In this study, we classified in river basins of Chugoku District and created a stream classification map by using GIS analysis and model based clustering. They are classified into 8 types. Then, we clarified basin characteristics of class A river based on above noted classification method. The results of clarification of basin characteristics are effective to express the basin characteristics. Furthermore, we found that faunas of genuine freshwater fish can be potentially explained by basin characteristics. From these, stream classification map can be applied for not only elucidation of water quality but also distribution of freshwater species.
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