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Joshuah Perkin

Perkin, Joshuah
Joshuah Perkin
Assistant Professor
222 WFES
Undergraduate Education
Bachelor of Science, Aquatic Biology, Texas State University, 2006
Graduate Education
Master of Science, Aquatic Resources, Texas State University, 2009
Doctor of Philosophy, Biology, Kansas State University, 2012

Recent Publications

George, Stephanie D.*, Amanda K. Pinion*, Kevin W. Conway, Thomas C. Heard and Joshuah S. Perkin. (2019) Observations on habitat use of age-0 Rio Grande Blue Sucker (Cycleptus sp. cf. elongatus), Western North American Naturalist 79: 3, 15, https://scholarsarchive.byu.edu/wnan/vol79/iss3/15.

Perkin, Joshuah S., Trevor A. Starks, Casey A. Pennock, Keith B. Gido, Garrett W. Hopper and Skyler C. Hedden. (2019) Extreme drought causes fish recruitment failure in a fragmented Great Plains riverscape, Ecohydrology, https://doi.org/10.1002/eco.2120.

Perkin, Joshuah S., Shannon P. Murphy, Christopher M. Murray, W. Keith Gibbs and Amy E. Gebhard. (2019) If you build it, they will go: A case study of stream fish diversity loss in an urbanizing riverscape, Aquatic Conservation, https://doi.org/10.1002/aqc.3090.

McManamay, R. A., J. S. Perkin and H. I. Jager. (2019) Commonalities in stream connectivity restoration alternatives: an attempt to simplify barrier removal optimization, Ecosphere 10(2):e02596.

Wellemeyer, Juju C., Joshuah S. Perkin, Mary Liz Jameson, Katie H. Costigan and Ryan Waters. (2019) Hierarchy theory reveals multiscale predictors of Arkansas darter (Etheostoma cragini) abundance in a Great Plains riverscape, Freshwater Biology, https://doi.org/10.1111/fwb.13252.

About the Lab

Work in our Riverscape Ecology Lab focuses on the conservation and sustainable management of freshwater fish diversity, understanding reasons for its decline, and developing approaches for mitigating threats in Texas, the southern Great Plains, and beyond. We address questions regarding species- and community-level change across spatial and temporal scales using a variety of study approaches, including meta-analyses, field experiments, natural snapshot and trajectory experiments, landscape modeling, and molecular techniques.