The Effects of temperature and Density on year of young (YOY) Rock Bass (Ambloplites rupestris) Growth in Gull Lake Biotic and abiotic Factors that affect fish growth and survival • • • • • Food availability population density other potential competitors predation pressure temperature Temperature • Temperature affects environment of YOY fish, which in turn affects growth rates, metabolism and ingestion • Therefore growth is dependant on temperature, for which there is an Optimum temperature for Growth (Kelly,99) • Optimum Temp is calculated 2-3 degrees below temp where intake of food and metabolism is greatest Density • Definition: estimated # of fish in population • if population is high, competition and search for food s more intense therefore limiting growth in YOY (Leslie,93) • fish growth is influenced by quantity of energy expended for activity • activity levels are expected to rise with increasing population (Holm,99) Temperature Dependant Model • Only above a given temp. will fish begin to gain mass and promote growth (Kelly,99) • therefore as temperature increases so should YOY growth • must find the YOY length for Rock bass using Peterson Method, due to high variability std deviations were calculated • max length cut off was 55mm Temperature Dependant Model • Daily temperatures must be converted to Growing Degree Days (mean daily tempbase temp), 12c air temperature was used for base temperature for rock bass Density Dependant Model • Use seine haul results to estimate catch per unit effort • catch per unit effort gives an estimation on density of a population (Bagenal, 78) • its expected that a negative relationship would be shown between density and average fish length or as density increased, fish length decreased Results • 1992,96,97 had lowest amount of Growing degree days, 2000 was 856.1 GDD’s • 41mm was found to be average YOY length over ten years, 2000 YOY length was 42mm • 1992,96,97 showed YOY lengths below average • 1992,96,97 also showed low density numbers Interpretation of Data • Problems with a high degree of variability within data and small sample set, try to increase sample size in future • 1992,96,97 years that had smaller YOY lengths and the fewest GDD’s this would support the positive correlation that with increased GDD’s we should see increase in fish length Interpretation of Data • McClendon and Rabeni found that temperature has a major impact on fish growth when its below the fishes preferendum • Minden never reached this temp of 25 c set by Carlander for rock bass, therefore temperature dependant growth was obeserved, substatiating the temperature Dependant Model Interpretation of Data • Density dependant model was rejected, because we should have observed a increase in fish length as density decreased • however 1992,96 and 97 showed low densities and the fish size decreased • seine hauls should be increased for larger sample sizes • perhaps openings in nets at to small for YOY