Th-114-17
All in the Family: Juvenile Sampling of Bull Trout for Genetic Monitoring

Stephen Amish , Division of Biological Sciences, Fish & Wildlife Genomics Group - University of Montana, Missoula, MT
Matthew C. Boyer , Montana Fish, Wildlife, and Parks, Kalispell, MT
Robb F. Leary , Division of Biological Sciences, Montana Fish, Wildlife & Parks - University of Montana, Missoula, MT
Seth Smith , Forestry and Conservation - Wildlife Biology, University of Montana, Missoula, MT
Angela Lodmell , Division of Biological Sciences, Fish & Wildlife Genomics Group - University of Montana
Gordon Luikart , Flathead Lake Biological Station, Fish & Wildlife Genomics Group - University of Montana, Missoula, MT
The presence of family spatial structure can bias results for some genetic estimators like the effective population size per generation (Ne) or the number of successful spawners per year (Nb). Ideally samples should contain a representative but random subset of individuals from all families while providing the minimum sample size required for precise estimates. In brook trout, work suggests a sample size of 75 age-0 fish collected from at least 3 different stream reaches is a successful strategy to estimate Nb. We used juvenile bull trout samples from three cohorts (age-0, age-1, age-2) collected from multiple stream reaches in each of three different streams to test for the effects of family structure on estimates of Nb. Similar to published results for brook trout, we found that samples from multiple stream reaches were required to account for family structure and accurately estimate Nb. Strong clustering of full sib pairs existed at distances up to approximately 600m, especially in age-0 fish, suggesting a minimum distance between sampling transects to reduce the potential of family bias.  Interestingly, cohort Nb estimates were smaller and showed less variation than observed in redd counts, varying from 9-26 successful spawners compared to 13-72 redds.