THE LONG-TERM ILLINOIS RIVERS FISH POPULATION MONITORING PROGRAM 2014

Jason A. DeBoer, Mark W. Fritts, Benjamin J. Lubinski, Jerrod Parker, Edward F. Culver, Daniel K. Gibson-Reinemer, John E. Epifanio, John H. Chick, Yong Cao, Andrew F. Casper

Research output: Book/Report/Conference proceedingTechnical report

Abstract

This report presents a summary of those data collected during segment 26(2014-15) of the Long-term Illinois Rivers Fish Population Monitoring Program(LTEF), an annual survey executed by members of the Illinois Natural History Survey with funds administered by the U.S. Fish and Wildlife Service and the Illinois Department of Natural Resources. Sampling for the LTEF program was conducted on: six reaches of the Illinois River Waterway, six segments or pools of the Mississippi River, and navigable portions of the Iroquois and Kankakee Rives. In all segments of the LTEF program, all fish species collected were accurately identified, tallied, measured, and weighed. The catch rates of sportfish species were calculated as the number of individuals collected per hour (CPUEN± standard error). Structural indices [Proportional Size Distribution (PSD) and Relative Weight (Wr)] were also calculated for species of interest to regional managers. Catch rates and species richness varied greatly among all sampling locations and sampling periods. Emerald Shiners and Gizzard Shad comprised the majority of the individuals caught, and Silver Carp and Common Carp accounted for the greatest proportion of the biomass collected in most sampling areas of the survey. The analysis of CPUEN and PSD trends in sportfish populations sampled by the program may indicate inter-annual recruitment patterns in sportfish populations around the state. Both Shovelnose Sturgeon and Blue Catfish were the two species most commonly encountered in the gill net surveys.
Original languageEnglish (US)
PublisherIllinois Natural History Survey
StatePublished - Jun 30 2015

Publication series

NameINHS Technical Report 2015 (23)
No.23

Keywords

  • INHS

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