Lisa N. Barrow results 8
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Machine learning and phylogenetic models identify predictors of genetic variation in Neotropical amphibiansNARA Subscribed
Aim Intraspecific genetic variation is key for adaptation and survival in changing environments and is known to be influenced by many factors, including population size, dispersal and life‐history traits. We investigated genetic variation within Neotropical amphibian species to provide insights into how natural history traits, phylogenetic relatedness, climatic and geographic characteristics can explain intraspecific genetic d...
Variation in susceptibility is ubiquitous in multi‐host, multi‐parasite assemblages, and can have profound implications for ecology and evolution in these systems. The extent to which susceptibility to parasites is phylogenetically conserved among hosts can be revealed by analysing diverse regional communities. We screened for haemosporidian parasites in 3983 birds representing 40 families and 523 species, spanning ~ 4500 m el...
Evaluating hypotheses of expansion from refugia through comparative phylogeography of south‐eastern Coastal Plain amphibiansNARA Subscribed
Aim Early genetic studies in the south‐eastern United States provided the foundation for ideas in the field of comparative phylogeography, but few direct comparisons with consistent sampling across taxa exist for this region. We investigate the influence of historical processes and species‐level characteristics on phylogeographic structure within four anuran species, evaluate previously described biogeographic patterns, and te...
Phylogeographic inference using Bayesian model comparison across a fragmented chorus frog species complexNARA Subscribed
Fragmented species complexes provide an interesting system for investigating biogeographic history and the present distribution of genetic variation. Recent advances in sequencing technology and statistical phylogeography enable the collection and rigorous analysis of large multilocus data sets, but designing studies that produce meaningful phylogeographic inferences remains challenging. We implemented a Bayesian model compari...
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