Ise&Mitsuhashi(2006)
Abstract : In planning habitat conservation, potential habitats must be considered by elucidating relationships between large-scale environmental variables and real distribution. Species-environment relationships at broad scale are usually nonlinear and they involve effects of interactions. The commonly used regression models are not capable of explaining such relationships, however no standardized modeling method have been established. We examined the current distribution of theForest green tree frogs (Rhacophorus arboreus) to predict the potential distribution in relation to five environmental variables. For these variables, thresholds were detected by applying a rule-based tree model with/without neighborhood effects. In addition, we evaluated the present conservation status of the tree frog by gap analysis between potential distribution and preserved areas. These models, significantly included the five variables, showed little fitting without neighborhood effect (accuracy = 75%) but the fitting was improved with it (accuracy = 95%). Map of the potential distribution showed that the areas unsuitable for it were good fit in Kii-Peninsular, Shikoku-Island, Kyushu-Island, a part of the Kanto-Region where is distribution blank in common knowledge, and that inaccuracy area were dected in several regions. Finally, gap analysis represented the extent of suitable habitat and its coverage of preserved area in each local government. The results could nominate the high priority areas for conservation and habitat management.
Abstract : In planning habitat conservation, potential habitats must be considered by elucidating relationships between large-scale environmental variables and real distribution. Species-environment relationships at broad scale are usually nonlinear and they involve effects of interactions. The commonly used regression models are not capable of explaining such relationships, however no standardized modeling method have been established. We examined the current distribution of the
Key words: large-scale environmental factors, habitat models, amphibian, conservation planning, gap analysis
