LandSciTech/caribouMetrics: Models and Metrics of Boreal Caribou Responses to Forest Landscapes

caribouMetrics provides implementations of several different models. Firstly, it implements the population and demographic models in "Science to inform policy: linking population dynamics to habitat for a threatened species in Canada" by Johnson et. al. (2020) <doi:10.1111/1365-2664.13637>. These functions allow users to calculate metrics of disturbance, predict demographic rates for a given level of disturbance and simulate population growth over time. In addition to these national scale models, we provide a simple Bayesian integrated population model that integrates prior information from national analysis of demographic-disturbance relationships with available local demographic data to reduce uncertainty in population viability projections. Our model is an extension of work by Eacker et al. (2019) <doi:10.1002/wsb.950> with some modifications and an added ability to simulate observation data given parameters that define a common caribou monitoring program. The package also includes an implementation of the caribou resource selection probability functions described in Hornseth and Rempel (2016) <doi:10.1139/cjz-2015-0101> "Seasonal resource selection of woodland caribou (Rangifer tarandus caribou) across a gradient of anthropogenic disturbance". This allows for a spatial prediction of caribou habitat use across 13 caribou ranges in Ontario.

Getting started

Package details

LicenseGPL-3 + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
LandSciTech/caribouMetrics documentation built on Sept. 23, 2023, 1:51 p.m.