Both rapidly improved GPS relocation data and increased geographical data available have brought great chances for progressing habitat studies of elusive large fauna species previously regarded as very difficult in research. Furthermore, GIS based habitat modeling enables us to present visual consequences of predictions easy to grasp public concern.

We focused on resource selection functions (RSF) modeling to investigate habitat use by Asiatic black bears Ursus Thibetanus using GPS data and design Ⅲ procedure Manly’s defined accounting for individual differences in habitat use.

As a result, we found great potential in RSF modeling to highlight some areas with higher probability of bear use. Particularly in summer when the most human-bear interactions occur, such aggregation areas of bear use can be also high bear mortality areas. Therefore, for conserving local populations and mitigating human-bear conflicts, RSF modeling could be reliable and vigorous tool for identifying important areas in where we have to implement appropriate habitat management.