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Abstract:The mountain hawk-eagle (Spizaetus nipalensis) is an endangered and an umbrella species ranking high in the food chain of the forest ecosystem. The objective of this study was to estimate the potential habitat of the mountain hawk-eagle in Yamagata prefecture, northern Japan. Habitat suitability of each grid was estimated using values of indices corresponding to terrain and vegetation features of the surroundings. Previous studies have computed terrain indices such as minimum and mean altitude and mean slope gradient within each grid-square of approximately km in size. To estimate potential habitat more accurately, we used 1 terrain and vegetation indices, including the valley distribution index that is important for the mountain hawk-eagle, and set a grid resolution of 0m to describe potential habitat map at fine scale. Since these indices would be sensitive to the analyzing window size placed around each grid, we examined this effect by changing radii as 0., 1, and km. Values of these indices were computed in each grid with a 0m digital elevation model (0m DEM) and a rasterized 1/0,000 digital vegetation map. By comparing Akaike's Information Criterion (AIC) values and accuracies among logistic regression models with different combinations from a set of 1 indices, an optimal model with the lowest AIC value and high accuracy was determined. The model used the distribution of valleys within 1km radius and the area of forest within km radius, which indicates the importance of valleys and forest for the mountain hawk-eagle's habitat. The potential habitat areas estimated by this model substantially corresponded (.0%) to the areas where the mountain hawk-eagle has been observed, with the overall accuracy of 1.%. We concluded that this model could accurately estimate the potential habitat of the mountain hawk-eagle.
Abstract:The mountain hawk-eagle (Spizaetus nipalensis) is an endangered and an umbrella species ranking high in the food chain of the forest ecosystem. The objective of this study was to estimate the potential habitat of the mountain hawk-eagle in Yamagata prefecture, northern Japan. Habitat suitability of each grid was estimated using values of indices corresponding to terrain and vegetation features of the surroundings. Previous studies have computed terrain indices such as minimum and mean altitude and mean slope gradient within each grid-square of approximately km in size. To estimate potential habitat more accurately, we used 1 terrain and vegetation indices, including the valley distribution index that is important for the mountain hawk-eagle, and set a grid resolution of 0m to describe potential habitat map at fine scale. Since these indices would be sensitive to the analyzing window size placed around each grid, we examined this effect by changing radii as 0., 1, and km. Values of these indices were computed in each grid with a 0m digital elevation model (0m DEM) and a rasterized 1/0,000 digital vegetation map. By comparing Akaike's Information Criterion (AIC) values and accuracies among logistic regression models with different combinations from a set of 1 indices, an optimal model with the lowest AIC value and high accuracy was determined. The model used the distribution of valleys within 1km radius and the area of forest within km radius, which indicates the importance of valleys and forest for the mountain hawk-eagle's habitat. The potential habitat areas estimated by this model substantially corresponded (.0%) to the areas where the mountain hawk-eagle has been observed, with the overall accuracy of 1.%. We concluded that this model could accurately estimate the potential habitat of the mountain hawk-eagle.
Conservation of appropriate wildlife habitats must take into account existing habitats as well as potential habitats from the viewpoint of the geographical environment. This study focused on the Mountain Hawk-Eagle (Spizaetus nipalensis), a large-size raptor that is listed as Category IB in the Red Data Book of Japan, published by the Ministry of the Environment. The decrease in the Mountain Hawk-Eagle population is a cause for anxiety. In this study, a habitat model was constructed using a multivariate analysis based on spatial data using the Geographic Information System (GIS), and potential habitats were estimated. A logistic regression analysis was performed using an environmental indicator whose database had been constructed using the thirdorder mesh (grid) unit as the independent variable and the existence of eyewitness information of Mountain Hawk-Eagle as the dependent variable. Consequently, a habitat model could be constructed that explained 64.1% of the eyewitness information. The model was used to draw a potential habitat map of the Mountain Hawk-Eagle, and then the relationships between potential habitats and planned roads were analyzed. As a result, vulnerable areas in potential habitats in Tottori Prefecture were then extracted. In the future, the potential habitats identified in this study will allow us to analyze environments used for behaviors such as nesting and hunting, to extract areas that are extremely important for habitation, and to develop proper measures to protect the Mountain HawkEagle.
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