USGS scientists evaluated the utility of hidden Markov movement models to characterize seasonal movements of mule deer (Odecoileus hemionus) and pronghorn (Antilocapra americana) that were tracked with GPS collars in Wyoming, USA, during 2014-2021. Data include step lengths and turning angles for individual animals at daily time-steps throughout the tracking period. Models demonstrated distinct seasonal movements between species indicative of migratory behavior and enable analyses to identify influential factors that affect decisions to migrate by animals.
|Title||Seasonal movements of mule deer and pronghorn in Wyoming, 2014-2021|
|Authors||Aaron N Johnston, J. Terrill Paterson, Anna C. Ortega, Cody Wallace, Matthew J Kauffman|
|Product Type||Data Release|
|Record Source||USGS Digital Object Identifier Catalog|
|USGS Organization||Northern Rocky Mountain Science Center|