Software

The code herein uses a triple loop structure to simulate a spatially implicit stage structured matrix model for two species of western pond turtle with parametric uncertainty and temporal stochasticity.

Digger is a python package that provides a number of pre- and post-processing tools for working with the D-Claw model.

This R script is reproduces a Bayesian belief network built within the propriety software program, Netica. The R- and Netica-based belief networks were used in Dunn and Schumann et al. (in press), which presents an approach for calculating imperilment of freshwater fishes.

The goal of algaeClassify is to facilitate the analysis of taxonomic and functional trait data for phytoplankton.

Code for simulating Spot-tailed earless lizard populations under habitat loss and road mortality threats in central Texas

Predicting the effects of warming temperatures on the abundance and distribution of organisms under future climate scenarios often requires extrapolating species-environment correlations to thermal conditions not currently experienced by a species or to temperatures that exceed the range of observed data. For poikilotherms, incorporating species’ thermal physiology to inform extrapolations under

Results of 11 microsatellites for white-tailed deer collected in Maryland, New York, Ohio, Pennsylvania, and Virginia from 2014 to 2022 for genetic analysis. In this project we assessed genetic structure using different analyses, and evaluated the performance of assignment tests to correctly match deer to origin (defined as genetic cluster, state or physiographic province). This repository include

Estimating High Resolution Multi-Cropped Irrigated Land Use Using a Pesticide Use Reporting Database in California Estimating the amount of water needed for agriculture is vital for food and water security. These estimates rely on maps of crop type and acreage that have limited ground-truthing or represent multiple years or regional cropping patterns. In regions where crops change frequently or m

The Chronic Wasting Disease Surveillance Optimization Software Version 2 computes sampling recommendations to detect chronic wasting disease (CWD) in white-tailed deer (Odocoileus virginianus). Driven by a combinatorial optimization algorithm, the software maximizes the return-on-investment to the wildlife agency while keeping the overall surveillance program within budget. The software pinpoints

This software release contains the code necessary to run the chronic wasting disease (CWD) and elk habitat selection models used to support the U.S. Forest Service decision on whether to continue to permit supplemental feeding of elk on USFS land. The models allow for four different management alternatives: continued feeding, emergency feeding, phase-out after three years, or no feeding. The CWD m

This code solves optimal harvest policies under different scenarios of system change, represented as changes in demographic parameters over time. This document contains code to solve policies using backwards iteration stochastic dynamic programming, project populations forward to simulate the policies, and generate figures.