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Software

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Code to fit Integral Projection Models and simulate population reintroductions for San Francisco Gartersnakes, Thamnophis sirtalis tetrataenia

This repository contains code to fit Integral Projection Models and simulate population reintroductions for San Francisco gartersnakes (Thamnophis sirtalis tetrataenia) This repository specifically contains code to reproduce analyses in: Rose, J.P., Kim, R., Schoenig, E.J., Lien, P.C., and Halstead, B.J. in-review. Comparing reintroduction strategies for the endangered San Francisco gartersnake (

Code for Multiple Population Viability Analysis of egg mass time series from the Foothill Yellow-legged Frogs (Rana boylii) in California

Code to fit a Multiple Population Viability Analysis (MPVA) to time series of Foothill yellow-legged frog (Rana boylii) egg mass counts. Rose, J.P., and Halstead, B.J., 2023, Code for Multiple Population Viability Analysis of egg mass time series from the Foothill Yellow-legged Frogs (Rana boylii) in California: U.S. Geological Survey software release, https://doi.org/10.5066/P9QWX2GR. This code

Code for a hierarchical model of raven densities linked with sage-grouse nest survival to help guide management of subsidized avian predators, version 1.0

This repository includes R code to conduct hierarchical density surface modeling of common raven (Corvus corax) point count data and hierarchical shared frailty modeling of Greater sage-grouse (Centrocercus urophasianus) nest fates. The model components are quantitatively linked, such that estimates of raven density from the hierarchical distance sampling component are spatially registered to sage

Conservation Planning Tool for the Bi-State Distinct Population Segment of Greater Sage-grouse

The Bi-State conservation planning tool provides a science-based approach for prioritizing pinyon (Pinus spp.) and juniper (Juniperus osteosperma, J. occidentalis), hereafter, 'conifer', removal to improve habitat for greater sage-grouse (Centrocercus urophasianus) in the Bi-State Distinct Population Segment (DPS, U.S. Fish and Wildlife Service 2010). Conifer negatively affects sage-grouse surviva

Code to Examine How the Influence of Fine-Scale Habitat Characteristics on Greater Sage-Grouse (Centrocercus urophasianus) Nest Site Selection and Nest Survival Varies by Mesic and Xeric Site Conditions version 1.0

This repository centralizes R code used to examine how the influence of fine-scale habitat characteristics on Greater sage-grouse (Centrocercus urophasianus) nest site selection and nest survival varies by mesic and xeric site conditions, utilizing data collected from a wide range of study sites in Nevada and California, USA. The R script "nest_selection_model.R" provides code for a GLMM framewor

rsgis v1.0

rsgis: A package to facilitate greater sage-grouse management in the western US The rsgis package centralizes several publicly available geospatial datasets that are essential to mapping and modeling for Greater sage-grouse (Centrocercus urophasianus) management applications, including important habitat and breeding areas for sage-grouse and political/regional boundaries. To cite the package, plea

raventools v1.0

raventools: A package to facilitate raven management in the western U.S. The raventools package centralizes several publicly available geospatial datasets that are essential to mapping and modeling for common raven (Corvus corax) management applications, including raven occurrence and density data, sensitive species distribution data, raven subsidy data, and Greater sage-grouse (Centrocercus uroph

Code to analyze multi-state, multi-scale dynamic occupancy models for amphibians in Yosemite National Park

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

Code to analyze survival data for Giant gatersnakes, Thamnophis gigas in Sacramento County, California from 2018 to 2021

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

Code to Analyze Occupancy Data for Dixie Valley Toads, Anaxyrus williamsi in Churchill County, Nevada from 2018 to 2021

-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

Science-based Management of Ravens Tool (SMaRT)

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 to analyze Capture-Mark-Recapture data of San Francisco gartersnakes (Thamnophis sirtalis tetrataenia)

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