MuleDeerMigrationUpperWindRiverStopoverAreas

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WGFD编辑的统计型多边形数据，其源自对杜波依斯骡鹿（Mule Deer）种群单元（MD642）内147头迁徙骡鹿采集的GPS项圈数据。本数据集的源数据来自四项独立的GPS项圈研究，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追踪工作。数据采集时段为2014年至2023年。针对上述GPS数据，研究团队采用300米线缓冲区（Line Buffer）法划分高、中、低使用等级，并结合布朗运动桥移动模型（Brownian Bridge Movement Model, BBMM）分析停歇点位；该分析基于动物从冬季栖息地向夏季栖息地（及返程）的移动路径，以及它们在沿途的停留时长，生成了对应的多边形数据。鉴于WGFD在土地利用规划工作中需与土地管理机构协作，原始数据已完成编辑优化，以提升野外实地使用的便捷性。注：构成完整廊道数据集的其余要素类（Feature Classes, FCs）均采用了相同的元数据内容。