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Logan Sleezer

Logan is an Ecologist at the Columbia Environmental Research Center.

Logan joined the Columbia Environmental Research Center as part of the Comprehensive Sturgeon Research team in 2023 and his research interests include species distribution modeling, landscape and community ecology, invasion ecology, and species imperilment risk assessment. His current research areas include

  • Supporting geospatial data and statistical science components of research and decision analysis relating to ongoing monitoring, management, and conservation of the endangered pallid sturgeon in the Missouri River and
  • Developing decision support tools for species status assessments of aquatic species in the southeast US.

Professional Experience

  • 2023 – present: Ecologist, USGS Columbia Environmental Research Center, Columbia, MO

  • 2021 – 2023: Research Associate, Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University, Mississippi State, MS

  • 2020: Instructor, Department of Physical Sciences, Emporia State University, Emporia, KS

Education and Certifications

  • MS in Fish and Wildlife Conservation, Virginia Polytechnic and State University, 2020

  • BS in Biology and Earth Science, Emporia State University, 2016

Science and Products

Non-USGS Publications**

Sleezer, L. J., Angermeier, P. L., and Frimpong, E. A, 2021, A new composite abundance metric detects stream fish declines and community homogenization during six decades of invasions: Diversity and Distributions, v. 27, no. 11, p. 2136-2156. https://doi.org/10.1111/ddi.13393
Deweber, J. T., Sleezer, L. J., and Frimpong, E. A., 2019, A new regionalization framework to quantify how physiography mediates the effect of land use on stream fishes: American Fisheries Society Symposium, v. 90, p. 321–350.

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

R code for calculating imperilment of freshwater fish with a Bayesian belief network

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.
By
Cooperative Research Units

Science and Products

Non-USGS Publications**

Sleezer, L. J., Angermeier, P. L., and Frimpong, E. A, 2021, A new composite abundance metric detects stream fish declines and community homogenization during six decades of invasions: Diversity and Distributions, v. 27, no. 11, p. 2136-2156. https://doi.org/10.1111/ddi.13393
Deweber, J. T., Sleezer, L. J., and Frimpong, E. A., 2019, A new regionalization framework to quantify how physiography mediates the effect of land use on stream fishes: American Fisheries Society Symposium, v. 90, p. 321–350.

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

R code for calculating imperilment of freshwater fish with a Bayesian belief network

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.
By
Cooperative Research Units