Hill, Ryan Arnold

Effective population size (Ne) is a foundational concept in conservation biology, in part due to its relationship to the adaptive potential of populations. Although Ne is often estimated for wild populations, it is rarely calibrated against actual population estimates (Nc) other than to produce Ne/Nc ratios. This project used demographic and genetic data for from two intensively-studied populations of lake trout (Salvelinus namaycush) in Ontario's Experimental Lake Area (ELA) as baseline data for evaluating the performance of multiple Ne estimators. Several temporal and single-time (point) genetic methods of estimating Ne were compared against demographic Ne estimates and known population data, as well as variation and consistency within and among Ne estimators. Changes in genetic Ne estimates over time were also compared to changes in demographic structure and fluctuating census estimates, including the effect of an experimentally manipulated population bottleneck on demographic and genetic Ne estimates during population reduction and recovery. Sampling years that included the most pre-, during and post-bottleneck data revealed the lowest estimates using temporal estimators (Ne = 16 to 18) despite pre- and post-bottleneck census estimates of 591 and 565. Estimation of Ne had increasingly tighter confidence intervals as sample sizes approached the actual number of breeding individuals in each population. Performance differences among the tested estimators highlight their potential biases and reliance on different assumptions, illustrating their potential value and caveats for assessing adaptive potential of wild populations.

Author Keywords: Effective Population Size, Experimental Lakes Area, Fish Population Assessment, Lake Trout, Population Demographics, Population Genetics