Software

Understanding how species are distributed in both space and time is a central question in ecology. Seemingly simple questions such as “How many individuals live in a particular patch?”, “Is a patch occupied by a target species?”, “How many species are there?”, and “what factors shape these pattern?” are questions routinely asked by ecologists. The tutorials in occupancyTuts will illustrate methods

Greater sage-grouse (Centrocercus urophasianus; hereafter referred to as sage-grouse) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the West (Hanser & Knick, 2011; Rowland et al., 2006). They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of

SurfVelTools is a Python application and user interface for computing parameters associated with the Probability Concept method (Fulton and others, in review) parameters using velocity profile data collected in the stationing where the maximum in-channel velocity occurs. SurfVelTools will also compute streamflow (discharge) for a given Probability Concept result given a known cross-sectional area,

R code to test for differences in DNA yield from of eight sample categories to gain insights into which provided adequate DNA to be used in ddRADseq or already developed SNP panels. We calculated mean, median and standard deviation with package psych using the describe() function. Additionally, we generated boxplots using package ggplot2 where the quantity for each tissue sample is categorized by

This repository contains code to run the Spatially Explicit Invasive Carp Population (SEICarP) model in the Illinois Rive. The code uses the `SEICarP` R package. The code for this project assumes the reader is familiar with R, population modeling, and quantitative fisheries methods.

SEIcarP is an R package (R Core Team 2021) implementing the Spatially Explicit Invasive Carp (SEICarP; sometimes stylize as SEIcarP) population model for the Illinois River. This repository contains the SEIcarP model plus two additional packages required for the main model package to run. These are the SEIcarP Bighead Carp (BH) data (SEIcarPdataBHCP) and the SEIcarP Silver Carp (SV) data (SEIcarPd

A software release of CoSMoS-COAST: The Coastal, One-line, Assimilated, Simulation Tool of the Coastal Storm Modeling System. The software (coded in Matlab) encapsulates a long-term shoreline change model that combines longshore and cross-shore transport and assimilates historical shoreline observations.

R code to evaluate the effects of wastewater reuse on smallmouth bass (Micropterus dolomieu) relative abundance in the Shenandoah River Watershed, USA

This model was written in python3 which can simulate water level fluctuations under different drawdown operation rules. We submitted the manuscript about this model to the Journal of Environmental Management. The model file was saved in directory “models/WDLake”, and you can reproduce the results by running the jupyter notebooks in “notebooks/”.

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

Software release for a topobathymetric DEM fusion approach. The operation, theory, and processes used in this software release can be used to fuse two topobathymetric digital elevation models (DEMs), creating seamless transitions around the two datasets' seamlines. This software heavily utilizes the arcpy python module, installation of ArcGIS Pro and a valid spatial analyst license is required.

This repository contains an example application of the `Meta-IPM` Python package (https://doi.org/10.5066/P9PW673G). The specific application focuses on the Illinois River using existing public data.