Online Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 207 - Ecology and Animal Movement
Type: Contributed
Date/Time: Tuesday, August 4, 2020 : 10:00 AM to 2:00 PM
Sponsor: Section on Statistics and the Environment
Abstract #313529
Title: Two-Stage Bayesian Approach for Fitting Animal Movement Models
Author(s): Hanna M McCaslin* and Abigail M Feuka and Mevin Hooten
Companies: Colorado State University and Colorado State University and Colorado State University
Keywords: Ecology; Potential function; Recursive; Spatial ; Spatio-temporal; Stochastic differential equation
Abstract:

Telemetry data and animal movement models allow ecologists to study how animals interact with their environments as they move through them. For example, as birds move through the aerial environment, atmospheric processes such as wind induced by pressure change can impact movement passively through drift and actively by affecting decision-making. We developed a continuous-time movement model based on a mixture of stochastic differential equations to examine how the dynamics of wind influence avian movement and used a hierarchical framework to scale inference to the population level. We fit our model using a two-stage recursive Bayesian approach and demonstrate that using a transformation between the modeling stages can ease computation and interpretation of parameters. We applied our methods to model seasonal movements of migratory species and understand how environmental features influenced migratory route and stopover decisions at multiple scales.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2020 program