Selecting Suitable Riparian Wildlife Passage Locations for Water Deer based on MaxEnt Model and Wildlife Crossing Analysis

Abstract

Stream restoration projects have become threats to riparian ecosystem in Rep. of korea. Riparian wildlife becomes isolated and the animals are often experience difficulties in crossing riparian corridors. The purposes of this study is to select suitable wildlife passages for wild animals crossing riparian corridors. Maximum entropy model and snow tracking data on embankment in winter seasons were used to develop species distribution models to select suitable wildlife passages for water deer. The analysis suggests the following. Firstly, most significant factors for water deer's habitat in area nearby riparian area are shown to distance to water, age-class, land cover, slope, aspect, digital elevation model, tree density, and distance to road. For the riparian area, significant factors are shown to be land cover, size of riparian area, distance to tributary, and distance to built-up. Secondly, the suitable wildlife passages are recommended to reflect areas of high suitability with Maximum Entropy model in riparian areas and

Spatial Characteristics of Wildlife-Vehicle Collisions of Water Deer in Korea Expressway

“…The land around Sections I and II had lower percentages of Forested Areas than the land in Sections III, IV, and V, and higher percentages of Used Area and Grassland. This result is consistent with that of a previous study on the suitability of water deer habitats with MaxEnt, which suggested that water deer prefer Used Areas among the different land cover types [42]. The WVC Hotspots were characterized by higher percentages of open terrains such as Used Area, Grassland, and Barren Land.…”

Selecting Core Areas for Conserving Riparian Habitat Using Habitat Suitability Assessment for Eurasian Otter

“…특히 로지스틱회귀모형(Logistic Regression)은 연속형과 범주형 자료를 다 포함 시킬 수 있으며, 자료의 통계적인 가정이 덜 제 약적이고 출현/비출현 자료를 데이터를 이용할 수 있는 장점을 가지고 있다(Song, 2011). 또한 모형 내에서 다른 변수를 효과를 조절할 수 있 기 때문에 특정 변수의 실제적인 효과를 측정하 는데 유용하다(Song, 2011;Jeong, 2015). z )…”