| Content Provider |
World Health Organization (WHO)-Global Index Medicus |
| Author |
Van De Kerk, Madelon Onorato, David P. Criffield, Marc A. Bolker, Benjamin M. Augustine, Ben C. McKinley, Scott A. Oli, Madan K. |
| Spatial Coverage |
Florida |
| Description |
Country affiliation: United States Author Affiliation: van de Kerk M ( Department of Wildlife Ecology and Conservation, University of Florida, 110 Newins-Ziegler Hall, Gainesville, FL, 32611-0430, USA.); Onorato DP ( Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, 298 Sabal Palm Road, Naples, FL, 34114, USA.); Criffield MA ( Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, 298 Sabal Palm Road, Naples, FL, 34114, USA.); Bolker BM ( Departments of Mathematics & Statistics and Biology, McMaster University, 314 Hamilton Hall, Hamilton, Ontario, L8S 4K1, Canada.); Augustine BC ( Department of Statistics, University of Kentucky, Multidisciplinary Science Building 0082, Lexington, KY, 40536-0082, USA.); McKinley SA ( Department of Mathematics, University of Florida, 460 Little Hall, Gainesville, FL, 32611-0430, USA.); Oli MK ( Department of Wildlife Ecology and Conservation, University of Florida, 110 Newins-Ziegler Hall, Gainesville, FL, 32611-0430, USA.) |
| Abstract |
Animals must move to find food and mates, and to avoid predators; movement thus influences survival and reproduction, and ultimately determines fitness. Precise description of movement and understanding of spatial and temporal patterns as well as relationships with intrinsic and extrinsic factors is important both for theoretical and applied reasons. We applied hidden semi-Markov models (HSMM) to hourly geographic positioning system (GPS) location data to understand movement patterns of the endangered Florida panther (Puma concolor coryi) and to discern factors influencing these patterns. Three distinct movement modes were identified: (1) Resting mode, characterized by short step lengths and turning angles around 180(o); (2) Moderately active (or intermediate) mode characterized by intermediate step lengths and variable turning angles, and (3) Traveling mode, characterized by long step lengths and turning angles around 0(o). Males and females, and females with and without kittens, exhibited distinctly different movement patterns. Using the Viterbi algorithm, we show that differences in movement patterns of male and female Florida panthers were a consequence of sex-specific differences in diurnal patterns of state occupancy and sex-specific differences in state-specific movement parameters, whereas the differences between females with and without dependent kittens were caused solely by variation in state occupancy. Our study demonstrates the use of HSMM methodology to precisely describe movement and to dissect differences in movement patterns according to sex, and reproductive status. |
| File Format |
HTM / HTML |
| ISSN |
00218790 |
| e-ISSN |
13652656 |
| Journal |
Journal of Animal Ecology |
| Issue Number |
2 |
| Volume Number |
84 |
| Language |
English |
| Publisher |
Wiley-Blackwell |
| Publisher Date |
2015-03-01 |
| Publisher Place |
Great Britain (UK) |
| Access Restriction |
One Nation One Subscription (ONOS) |
| Subject Keyword |
Discipline Environmental Health Discipline Zoology Behavior, Animal Physiology Locomotion Animals Endangered Species Florida Gait Geographic Information Systems Markov Chains Models, Statistical Reproduction Seasons Sex Factors Research Support, Non-u.s. Gov't Research Support, U.s. Gov't, Non-p.h.s. |
| Content Type |
Text |
| Resource Type |
Article |
| Subject |
Animal Science and Zoology Ecology, Evolution, Behavior and Systematics |
