caribouMetrics: caribouMetrics: Models and metrics of boreal caribou...

In LandSciTech/caribouMetrics: Models and Metrics of Boreal Caribou Demography and Habitat Selection

caribouMetrics: Models and metrics of boreal caribou responses to forest landscapes

Description

The caribouMetrics R package provides reproducible open source implementations of several models of Boreal woodland caribou (Rangifer tarandus caribou) demography and habitat use. A national two-stage demographic model with density dependence and interannual variability follows Johnson et. al. (2020) with modifications described in Dyson et al. (2022). Demographic rates vary with disturbance as estimated by Johnson et. al. (2020). The package also includes a Bayesian population model designed to integrate prior information from Johnson et al's national analysis of demographic-disturbance relationships with available local demographic data to reduce uncertainty in population viability projections. The Bayesian population model is an extension of work by Eacker et al. (2019). The national model can be used to simulate example population trajectories, and combined with a simple observation model and the Bayesian population model to show how monitoring requirements depend on landscape condition. Finally, caribouMetrics contains an implementation of Hornseth and Rempel's (2016) Ontario boreal caribou resource selection model as described in Dyson et al. (2022). Model implementation is intended to be modular and flexible, allowing reuse of components in a variety of contexts including projections of the cumulative effects of disturbance and climate change (e.g. Stewart et al. 2023) and a Shiny app designed to allow allow exploration of user-specified monitoring and disturbance scenarios.

LandSciTech/caribouMetrics documentation built on Feb. 3, 2024, 9:41 p.m.