Predicting Forest Understory Vegetation Types for Wildlife Management : A Case Study for Japanese Serow (Caricornis crispus) protection area in the Upper Miya River Basin, Mie Prefecture

概要

論文の詳細を見る
This paper proposes a simple model to use in mapping forest understory vegetation types. Cartographic modeling, with the aid of GIS (Geographic Information System) technologies, was used for this study. Understory vegetation maps were produced by GIS-based prediction, and the result was applied to the analysis of the Japanese serow (Caricornis crispus) protection area in the upper Miya River Basin, Mie Prefecture, Japan. We used a simple boolean logic known as crosstab with a raster-based GIS. Our procedure and approach were focused on verification and effective use of what resource managers already know. The existing information on forest ecosystems, which included soil moisture, bioclimate, and overstory vegetation types, was used to predict forest understory vegetation. The results of our study showed there were various forest understory stratum types (bamboos, ferns, shrubs, and lower tree layers) in the species' protection area, and these varieties were considered to be preferred diet sources for serows.
森林計画学会の論文