Abstract

We quantified size-specific growth of small and large rock bass Ambloplites rupestris, bluegill Lepomis macrochirus, largemouth bass Micropterus salmoides, smallmouth bass M. dolomieu, and channel catfish Ictalurus punctatus from Illinois streams. Growth rates for each species fell within ranges previously reported for lakes and rivers in Illinois and adjacent states, although growth rates in our study averaged slightly lower. Intraspecific growth rate comparisons of small and large individuals were not significantly correlated for bluegill and rock bass. This suggests ontogenetic shifts occurred in diet or habitat use of these two species, similar to those reported for lentic populations. Using 12 biological, 22 physical, and 8 chemical variables collected concurrently with the fish, we developed simple- and multiple-regression models of growth for each species and size. Our best multiple-regression models accounted for 67–99% of the growth variation in seven species–size combinations, with substrate variables contributing to models for all species except rock bass. Although these models require testing against independent data for general applicability, they demonstrate the potential for predicting the growth of stream fish from commonly collected, and often readily available, habitat data. These empirical relationships with environmental variables may also enhance the efficiency of stream fisheries management by providing an inexpensive, a priori basis for directing management efforts.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.