Software

The purpose of this study was to evaluate how extreme variation in precipitation in the Sierra Nevada of California, USA, in the early 21st Century affected adult occupancy and the probability of reproduction of amphibians. The study used a 15-year data set to relate site characteristics to initial probability of occurrence of adults, and additional site-specific and dynamic (e.g., weather) variab

The purpose of this study was to estimate the survival of giant gartersnakes (Thamnophis gigas) prior to and following translocation, as well as to evaluate the use of captive rearing as a conservation tool for giant gartersnakes. We used Kaplan-Meier and Cox Proportional Hazards models to estimate survival rates and estimate the effects of group identity (marsh donor, rice donor, and translocatio

-R code to create and fit dynamic occupancy models to Dixie Valley Toad survey data in JAGS and produce useful summaries of model results. This script will perform the Gibbs Variable Selection (GVS) using the initial set of environmental covariates, and then fit the "final" model using only important environmental covariates. The dynamic occupancy model is adapted from the model published by Duart

The Science-based Management of Ravens Tool (SMaRT) supports a science-based adaptive management framework that incorporates recent quantitative analyses and mapping products for addressing areas with elevated common raven (Corvus corax) numbers and minimizing potential adverse impacts to sensitive species, agricultural damage, and human safety (Dettenmaier et al. 2021). This is a web-based applic

Code files "growth_analysis.R" -An R script to fit the von Bertalanffy growth model to growth data from San Francisco gartersnakes. The von Bertalanffy growth model is fit using JAGS software (Plummer 2003), and is based on the model presented in Armstrong and Brooks (2013). "survival_analysis.R" -An R script to fit the robust-design Cormack-Jolly-Seber model to capture-mark-recapture data from

poscrptR is a simple R package with the sole purpose of distributing a shiny app for predicting post-fire conifer regeneration. Learn more about shiny apps here.

Mojave Seed Menus is a spatial decision-support tool designed to help land managers create suitable seed mixes for restoration sites, such as a burned area or other mapped spatial feature. The application provides coverage for the Mojave Desert ecoregion. Seed menus are based on a combination of habitat suitability models for 50 priority restoration plant species. Species are selected based on the