Failure to account for genetic variation can result in overestimating extinction risk
New research led by the University of Southampton has shown that the threat of range losses for some species as a result of climate change
PhD Studentship, University of Southampton, Sep 2017
How will greening the desert affect bats and the ecosystem services they provide? Supervisors: Dr Orly Razgour (University of Southampton) Dr Kelvin Peh (University of Southampton)
New paper out by undergraduate project student Megan Jones
Congratulations to Megan Jones for publishing her undergraduate research project on ‘Predicting the effect of interspecific competition on habitat suitability for the endangered African wild
ConGenomics Conference, CIBIO/InBio, Portugal, May 2016
Our work has been presented at the ConGenomics Conference at CIBIO/InBio, Portugal. It was great to hear about all the amazing research currently being carried out in
We made it to the cover of Molecular Ecology!
Our recent paper ‘Unravelling the evolutionary history and future prospects of endemic species restricted to former glacial refugia’ has made it to the cover of Molecular Ecology.
Links to some of the media coverage of our work including blogs
Unravelling the evolutionary history and future prospects of endemic species
We used an integrated approach, combining markers with different evolutionary rates and combining phylogenetic analysis with approximate Bayesian computation and species distribution modelling across temporal scales. We related
Contrasting population-level responses to Pleistocene climatic changes in widely distributed species
We sequenced the complete mitochondrial genome of a widely distributed Palearctic bat restricted to mountain ranges, the alpine long-eared bat, Plecotus macrobullaris. We integrated ecological niche modelling, approximate Bayesian
Shaping of genetic variation in edge of range populations under past and future climate change
We combined genetic analysis with ecological niche modelling across temporal scales and Approximate Bayesian Computation model-based inference of evolutionary history to research the effects of past
Adaptations to environmental change
Using genomic data and ecological analysis to identify signatures of climate-driven local adaptations in species of conservation concern.