Testing a simple stochastic model for the dynamics of waterfowl aggregations |
| |
Authors: | Emily D. Silverman Mark Kot Elizabeth Thompson |
| |
Affiliation: | 1.School of Natural Resources and Environment,University of Michigan,Ann Arbor,USA;2.Department of Applied Mathematics,University of Washington,Seattle,USA;3.Department of Statistics,University of Washington,Seattle,USA |
| |
Abstract: | We consider a simple stochastic model for the dynamics of mixed-species waterfowl aggregations and describe two methods for assessing the fit of this model to field data. The model does not incorporate species-specific behavior. It assumes that all birds act independently and incorrectly predicts an exponential distribution for inter-event times. We reject this model, show that 29% of the birds move in groups of two or more birds, and demonstrate that the distribution of inter-event times between the movements of groups of birds is exponential. We find no difference in movement rates or group sizes between seasons, and no difference between groups arriving into or departing from the observed aggregations. An analysis of group composition suggests that species at low abundance behave differently than species at high abundance: birds with few conspecifics are more likely to move in mixed-species groups than birds with many conspecifics. We suggest that simple stochastic models provide a useful way to explore the dynamics of animal behavior. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|