Data from: A simulation–based evaluation of methods for inferring linear barriers to gene flow ...

Different analytical techniques used on the same data set may lead to different conclusions about the existence and strength of genetic structure. Therefore, reliable interpretation of the results from different methods depends on the efficacy and reliability of different statistical methods. In this paper we evaluate the performance of multiple analytical methods to detect the presence of a linear barrier dividing populations. We were specifically interested in determining if simulation conditions, such as dispersal ability and genetic equilibrium, affect the power of different analytical methods for detecting barriers. We evaluate two boundary–detection methods (Monmonier’s algorithm and WOMBLING), two spatial Bayesian clustering methods (TESS and GENELAND), an aspatial clustering approach (STRUCTURE), and two recently–developed, non–Bayesian clustering methods (PSMIX and DAPC). We found that clustering methods had higher success rates than boundary detection methods and also detected the barrier more ... : Data_MER120022R1To evaluate the utility of different methods for genetic barrier detection, we used data sets from Landguth et al. (2010), who conducted spatially–explicit, individual–based genetic divergence simulations in the program CDPOP (Landguth & Cushman 2010). Landguth et al. (2010) simulated genotypes for 1 000 individuals of an animal species within a study landscape of 70 x 100 km. Simulations were initiated with 30 loci and 30 alleles maximum per locus (resulting in 900 total possible alleles and mean Ho = 0.967), a k–allele mutation rate of 0.0005 in a two–sex mating structure with sex assigned randomly with equal probability (see Landguth et al. 2010 for details). Landscape resistances to movement were homogeneous and controlled by isolation-by-distance on either side of a complete (i.e., impermeable) linear barrier that bisected the landscape into a western and eastern half (500 individuals on either side). We used data from 10 independent Monte Carlo simulations and under two dispersal ...