Browsing by Author "Ferguson, Jake M"

Now showing 1 - 4 of 4
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    Data and R code to support: Estimating densities of zebra mussels (Dreissena polymorpha) in early invasions using distance sampling
    (2019-01-18) Ferguson, Jake M; Fieberg, John R; McCartney, Michael A.; Blinick, Naomi S.; Schroeder, Leslie; jakeferg@umn.edu; Ferguson, Jake M; Minnesota Aquatic Invasive Species Research Center
    These files are the data and code needed to reproduce the analysis of the manuscript "Estimating densities of zebra mussels (Dreissena polymorpha) in early invasions using distance sampling". The data include spatial coordinates of transects used to survey for zebra mussels in Lake Sylvia and Lake Burgan in the summer of 2017, the counts of zebra mussels on each transect, and environmental covariates collected along transects and at each detection. We also provide the R code needed to process and analyze these data following the distance survey approach described in the manuscript. We provide code for a straightforward distance survey, which doesn't include any spatial covariate information, as well as a more computationally intensive analysis that does include spatial covariates.
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    R Code and Data Supporting: A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha)
    (2023-05-25) Ferguson, Jake M; Jimenez, Laura; Keyes, Aislyn A; Hilding, Austen; McCartney, Michael A; St. Clair, Katie; Johnson, Douglas H; Fieberg, John R; jfieberg@umn.edu; Fieberg, John R
    This repository contains data and R code supporting Ferguson et al. A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha).
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    R Code and Data Supporting: Ecological forecasts reveal limitations of common model selection methods: predicting changes in beaver colony densities
    (2020-04-20) Johnson-Bice, Sean M; Ferguson, Jake M; Erb, John D; Gable, Thomas D; Windels, Steve K; s.johnsonbice@gmail.com; Johnson-Bice, Sean M
    This repository contains the R and JAGS code supporting results reported in: Johnson-Bice, S.M., J.M. Ferguson, J.D. Erb, T.D. Gable, S.K. Windels (2020). Ecological forecasts reveal limitations of common model selection methods: predicting changes in beaver colony densities. Ecological Applications [In Press].
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    R Code and Output Supporting: Computational reproducibility in The Wildlife Society's flagship journals
    (2019-06-05) ArchMiller, Althea A; Johnson, Andrew D; Nolan, Jane; Edwards, Margaret; Elliot, Lisa H; Ferguson, Jake M; Iannarilli, Fabiola; Velez, Juliana; Vitense, Kelsey; Johnson, Douglas H; Fieberg, John R; ALTHEA.ARCHMILLER@GMAIL.COM; ArchMiller, Althea A
    The goal of this study was to gauge the level of computational reproducibility, which is the ability to reach the same results using the same data and analysis methods, in the field of wildlife sciences. We randomly selected 80 papers published in the Journal of Wildlife Management and Wildlife Society Bulletin between 1 June 2016 and 1 June 2018. Of those for which we could obtain data, we attempted to reproduce their quantitative results using the original methods and data. The dataset shared in this repository is the de-identified results of our review, and the code provided here produces the results and figures in our published manuscript.