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Analysis of data for Effects of formaldehyde (Parasite-S) on biofilter nitrification from a cold- and a warm freshwater RAS

This repository contains the code used to analyzed the water quality from a formalin study. We examined how formalin affected the total nitrogen and nitrite nitrogen in water that was passed through a biofilter.

quarto-utils

This python package works with Quarto MarkDown files to allow authors to supply dois for references while writing a document. Tools in this utilities package provide the ability to automatically query https://doi.org to return valid BiBTeX entries from dois. Further utilities allow users to supply a list of dois, look up the BiBTeX entries, and update them into a new or existing BiBTeX file. Final

Quarto template for the Journal of Fish and Wildlife Management

This repository contains a journal template for the Journal of Fish and Wildlife Management. The template uses Quarto, a Markdown-based "open-source scientific and technical publishing system." The template uses an MS Word file as a template to format a manuscript for the Journal of Fish and Wildlife Management. Users will want to edit the qmd file and the bib file if they adapt this template for

Example application of MetaIPM to the Illinois River v2.0

This repository contains an example application of the Meta-IPM Python package (https://doi.org/10.5066/P9427H6M). The specific application focuses on the Illinois River using existing public data. The code for this project assumes the reader is familiar with Jupyter Notebooks, enough Conda and Python to install the Meta-IPM package, and population ecology. The example also assumes the user is fam

MetaIPM: A Meta-population Integral Projection Model v 2.0

MetaIPM is a Python package (Python Software Foundation 2020) that models meta-population dynamics and continuous growth rates via an integral projection model (IPM) for species living in distinct habitat patches. The package stems from a model that compares invasive carp population control strategies (Erickson et al. 2018). For example, Erickson et al. (2017) used an R predecessor version of this

Python for Hydrology Self Study Curriculum

This repository contains study materials for python programming for hydrologic applications and a focus on groundwater modeling with flopy. The materials are used in an in-person curriculum at the USGS and provided here for reference for the larger hydrologic community.

GW-NDST software v 1.1.0

Official version 1.1.0 software release of the Groundwater-Nitrate Decision Support Tool (GW-NDST) for Wisconsin. This release (v1.1.0) is matched with and described by Juckem, P.F., Corson-Dosch, N.T., Schachter, L.A., Green, C.T., Ferin, K.M., Booth, E.G., Kucharik, C.J., Austin, B.P., and Kauffman, L.J., 2024, Design and calibration of a Nitrate Decision Support Tool for Groundwater wells in W

Comparing maximum likelihood and Bayesian methods for fitting Hidden Markov Models to multi-state capture recapture data of invasive Silver Carp in the Illinois River

This repository contains the data, code for modeling and analysis, and publication markdown documents for a comparison of various methods for fitting multi-state models, including maximum likelihood and Bayesian approaches via R.

NO3GWT version 1.0.0

A groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST was reviewed and approved by the journal via this official USGS appr

Monosex control within integrated pest management

This repository contains code to simulate the use of YY-males and direct mortality such as harvest or pesticide applicaion as a control tools for different aquatic invasive species.

Simulations for assessing the suitability of YY-males as a control method across life histories

This repository contains code to simulate the use of YY-males as a control tool for different aquatic invasive species. The code uses the Meta-IPM Python package (https://doi.org/10.5066/P9PW673G) The code for this project assumes the reader is familiar with Jupyter Notebooks, enough Conda and Python to install the Meta-IPM package, and population ecology.

Application of the SEICarP Model to the Illinois River

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.