Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover

Spatial turnover of biological communities is determined by both dispersal and environmental constraints. However, we lack quantitative predictions about how these factors interact influence across genealogical scales. In this study, have implemented a predictive framework based on approximate Bayesian computation (ABC) to quantify the signature constraints in community turnover. First, simulated distribution haplotypes, intra-specific lineages species under different strengths Our simulations show that spatial rate invariant scales when limitation determines ranges. constraint limits ranges, rates vary These were used an ABC role 16 empirical sampled from local continental scales, including several groups insects (both aquatic terrestrial), molluscs bats. seven datasets, observed invariance turnover, assessed with distance–decay curves, suggests dispersal-limited scenario. remaining variance curves was best explained various combinations study illustrates modelling at multiple (species intraspecific lineages) provides relevant insights into relative