11-10 Effects of Prey and Tissue Type on δ13C and δ15N Fractionation and Turnover Rates, and Assimilation Efficiency of Rainbow Trout

Jonathan M. Flinders , Idaho Department of Fish and Game, Salmon, ID
Daniel D. Magoulick , US Geological Survey, Arkansas Cooperative Fish and Wildlife Research Unit, Fayetteville, AR
Stable isotope analysis is increasingly used in ecological studies to examine dietary patterns of consumers, yet little attention has been given to some of the underlying assumptions.  Critical assumptions of stable isotope mixing models include knowledge of δ13C and δ15N fractionation (D) and turnover rates in each tissue examined along with assimilation efficiencies.  We conducted laboratory experiments to examine effects of prey (sculpin and chironomid) and tissue type (blood, liver and white muscle) on δ13C and δ15N fractionation and turnover rates in rainbow trout, along with determining assimilation efficiencies.  Liver showed the most rapid turnover times for both δ15N and δ13C (T95 = 4-6 months), followed by blood (T95 = 4-7 months) and then white muscle tissue (T95 = 7-9 months).  Turnover rates were metabolically dominated (82-93% of turnover), with the exception of δ13C of blood in rainbow trout fed a chironomid diet (33%).  Fractionation rates differed by tissue and diet.   Based on the hatchery diet, Dδ15N was 3.8‰ (95% CI 3.3-4.3) for white muscle, 2.9‰ (2.4-3.4) for blood and 2.5‰ (1.9-3.1) for liver, whereas Dδ13C was 1.9‰ (1.7-2.1) for liver, 1.7‰ (1.4-2.0) for white muscle, and 1.5‰ (1.3-1.7) for blood.  Assimilation efficiency averaged 55.8% (SE + 0.90) and 64.5% (SE + 1.98) at the 10% and 25% ration level, respectively.  Based on the turnover rates we observed many food web studies using stable isotope analysis are likely to violate the assumption that δ15N and δ13C values of tissues are in equilibrium with a given diet.  Additionally, fractionation rates of Dδ15N, and to a lesser extent Dδ13C, need to be considered in the context of inter-tissue variability.  Knowledge of fractionation rates, tissue turnover rates and assimilation efficiency can be crucial to effectively using stable isotope mixing models to assess dietary source contributions.