A key parameter in the theory and application of population genetics is the effective population size (N e ): the number of breeding individuals in a conceptual, ideal population that would lose genetic diversity at the same rate as the real population being studied (Wright 1931;Charlesworth 2009). How a population responds to evolutionary forces depends on N e , rather than the actual number of individuals in the population (N, the census population size). Although direct estimates of N e can be calculated from demographic data, such data are often prohibitively difficult to obtain (Wang 2005). Given this limitation, and the importance of N e in population and conservation genetics, it is not surprising that considerable effort has been put into developing methods of using molecular genetic data to obtain indirect estimates of N e .With advances in these methods and with the increasing accessibility of multilocus genotype data, it has recently become practicable to estimate the effective sizes of many populations of the same species (Luikart et al. 2010;Waples and Do, 2010). Such an effort is highly worthwhile for a couple of reasons. First, by gathering estimates from multiple populations, investigators might identify a reasonably narrow range of typical N e values for a species, an "educated guess" for the value of this parameter in any given population. This information could be used to approximate N e in evolutionary modeling of the species. For example, an expected N e could be used as input for simulations of evolutionary processes or as a Bayesian prior in analyses used to infer other population genetic parameters, such as migration rates or selection coefficients. Expected N e values for a species would also be useful in conservation and management, in situations in which an estimate of N e for a population is desired but genetic and demographic data are unavailable. In such cases, it would be helpful to know if populations of the focal species typically have, for example, N e estimates less than 100. Furthermore, when estimates of both N e and N (census size) can be obtained for multiple populations, it may be possible to identify the typical range of N e /N for the species. If so, estimates of N for the species might then be used as proxies for N e , when the former are easier to obtain that the latter.Second, a comparative analysis of N e estimates from multiple populations across more than one species can help generate hypotheses about what particular biological factors influence N e within species. Consistent differences in N e among species might correspond to differences in habitat, dispersal capabilities, or breeding behaviors. Hypotheses generated in a comparative analysis could then be tested in subsequent studies. Similarly, the factors that influence N e within species can also be investigated by evaluating correlations between environmental variables and N e for multiple populations of a species.Despite the fact that such multipopulation, empirical investigations of N e can lead to valuable...