Colorado Project
Movement of Pinnipeds
August 2014 - June 2017
Personnel
Participating Agencies
- NOAA Natl Marine Laboratory
Problem statement: Data associated with marine mammal tracking are often collected but the measures associated with data and the underlying movement process make it challenging to understand space use, interaction among individuals, and learn about movement patterns. So What? Why this research matters: The ability to formally make inferences about marine mammal space use and movement can lead to improved understanding of these important aquatic species. Collaboration/Partners: This project is in collaboration with scientists at the National Oceanic and Atmospheric Administration. Research That Informs Decisions: Formal statistical models that account for the various sources of uncertainty in marine mammal telemetry data will lead to a better understanding of mechanisms that aid in the management of these aquatic wildlife populations.
| Research Publications | Publication Date |
|---|---|
| Scharf, H.R., M.B. Hooten, and D.S. Johnson. (2017). Imputation approaches for animal movement modeling. Journal of Agricultural, Biological, and Environmental Statistics, 22: 335-352. | June 2017 |
| Hanks, E.M., D.S. Johnson, and M.B. Hooten. (2017). Reflected stochastic differential equation models for constrained animal movement. Journal of Agricultural, Biological, and Environmental Statistics, 22: 353-372. | September 2017 |
| Brost, B.M., M.B. Hooten, and R.J. Small. (2020). Model-based clustering reveals patterns in central place use of a marine top predator. Ecosphere, 11: e03123. | May 2020 |
| Brost, B.M., M.B. Hooten, and R.J. Small. (2017). Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features. Ecology, 98: 12-20. | January 2017 |