Reproductive Success from Movement Data
June 16, 2023
This software release includes code to conduct analyses presented in the manuscript titled: A hierarchical modeling framework for estimating individual- and population-level reproductive success from movement data
Citation Information
| Publication Year | 2023 |
|---|---|
| Title | Reproductive Success from Movement Data |
| DOI | 10.5066/P98BYRS4 |
| Authors | Joseph M Eisaguirre |
| Product Type | Software Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Alaska Science Center |
Related Content
A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data
Rapidly advancing animal telemetry technologies paired with new statistical models can provide insight into the behaviour of otherwise unobservable free-living animals. Changes in behaviour apparent from pairing telemetry with statistical models often occur as animals undertake key life-history activities, such as reproduction. For many species that are secretive or occupy remote areas, these life
Authors
Joseph Michael Eisaguirre, Perry J. Williams, Julia C. Brockman, Stephen B. Lewis, Christopher P. Barger, Greg A. Breed, Travis L. Booms
Related Content
A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data
Rapidly advancing animal telemetry technologies paired with new statistical models can provide insight into the behaviour of otherwise unobservable free-living animals. Changes in behaviour apparent from pairing telemetry with statistical models often occur as animals undertake key life-history activities, such as reproduction. For many species that are secretive or occupy remote areas, these life
Authors
Joseph Michael Eisaguirre, Perry J. Williams, Julia C. Brockman, Stephen B. Lewis, Christopher P. Barger, Greg A. Breed, Travis L. Booms