Present address: Department of Natural Resource Ecology and Management, 124 Science II, Iowa State University, Ames, IA 50011-3221, U.S.A.
Size-specific growth of bluegill, largemouth bass and channel catfish in relation to prey availability and limnological variables
Article first published online: 4 JAN 2007
2007 The Fisheries Society of the British Isles
Journal of Fish Biology
Volume 70, Issue 1, pages 21–34, January 2007
How to Cite
Shoup, D. E., Callahan, S. P., Wahl, D. H. and Pierce, C. L. (2007), Size-specific growth of bluegill, largemouth bass and channel catfish in relation to prey availability and limnological variables. Journal of Fish Biology, 70: 21–34. doi: 10.1111/j.1095-8649.2006.01204.x
- Issue published online: 4 JAN 2007
- Article first published online: 4 JAN 2007
- (Received 29 June 2005, Accepted 23 May 2006)
- channel catfish;
- largemouth bass;
Growth of sympatric populations of three important sport fish species: bluegill Lepomis macrochirus, largemouth bass Micropterus salmoides and channel catfish Ictalurus punctatus, in 14 Illinois reservoirs was assessed in an attempt to relate size-specific growth to environmental conditions. Multiple regression relationships for most species and size classes explained a large percentage of the variation in growth. Growth of small bluegill (50 mm total length, LT) showed a strong negative relationship with bluegill catch per unit effort (cpue), per cent littoral area and pH. Large bluegill (150 mm LT) growth was negatively related to Daphnia spp. and benthic macroinvertebrate abundance and lake volume, and positively related to bluegill cpue. Growth of small (100 mm LT) and large (250 mm LT) largemouth bass was not well explained by any of the measured variables. Growth of both small (300 mm LT) and large (450 mm LT) channel catfish was strongly positively related to forage fishes and ichthyoplankton abundance, and per cent littoral area while negatively related to benthic macroinvertebrates. By identifying environmental conditions associated with increased growth rates, these models provide direction for managing fish populations and suggest testable hypotheses for future study of the complex interactions between environmental conditions and growth.