MuleDeerMigrationUpperWindRiverHighUseCorridor

These data represent the WGFD-edited version of statistically-based polygons derived from GPS collar data collected from 147 Mule Deer migrating in the Dubois Mule Deer herd unit (MD642). There were four different GPS collar studies that contributed to this data set which included collaring efforts from Grand Teton National Park, the area around Dubois, and deer from the Wind River Indian Reservation. The data were collected from 2014 through 2023. The GPS data were analyzed using Line Buffer (300 meter) for the high, medium and low use levels and Brownian Bridge Movement Model (BBMM) for stopovers, which produced polygons based on where animals traversed from winter range to summer range (and back) and how much time they spent along the way. The original data were edited to be more manageable on the ground as the WGFD works with land management agencies during land use planning. NOTE: The same metadata content is used for the other FCs comprising the entire corridor dataset.本数据集为经怀俄明州游戏与鱼类局（Wyoming Game and Fish Department, WGFD）编辑后的统计衍生多边形数据，其源数据采自杜波依斯骡鹿种群单元（MD642）内147头迁徙骡鹿的GPS项圈（GPS collar）观测数据。本数据集共纳入四项独立的GPS项圈研究项目，数据来源涵盖大提顿国家公园、杜波依斯周边区域以及风河印第安保留地的骡鹿项圈工作。数据采集时段为2014年至2023年。针对该GPS观测数据，研究人员采用300米线缓冲区（Line Buffer）分析方法划分高、中、低三级利用强度，并通过布朗桥运动模型（Brownian Bridge Movement Model, BBMM）识别中途停留点；最终生成的多边形数据可反映骡鹿在冬季栖息地与夏季栖息地间（含返程）的移动路径，以及其在迁徙途中的停留时长。鉴于怀俄明州游戏与鱼类局需在土地利用规划工作中协同各类土地管理机构，原始数据已完成编辑以优化其实地使用便捷性。注意：构成完整廊道数据集的其他要素类（Feature Classes, FCs）均采用相同的元数据内容。