Predictive Landscape Genetics
We use landscape genetics as a predictive tool to assess how species will shift their ranges to track changes in climatic suitability and inform conservation measures that will facilitate movement.
Ecological connectivity in sky island bats of the Ethiopian Highlands
Tropical highland ecosystems are highly sensitive to global change, especially in under-studied areas like Ethiopia that are threatened by extensive anthropogenic habitat loss and degradation. We are studying how these sky islands and the intervening landscape matrix shape the genetic diversity and distribution of their unique fauna, focusing on the little known diversity of the Ethiopian Highlands’ Plecotus bat community.
Landscape Genetics: the effect of environmental heterogeneity on movement ecology and range shifts
Combining spatial ecology and population genetics
Landscape Genetics across spatial scales
We combine population genetics with species distribution modelling and geographical information. Our work has shown the scale-dependent effect of the landscape on gene flow and population structure in bats.
Developing an integrated framework to investigate biodiversity responses to global change
NERC research fellowship project
Bats are important components of ecosystems and providers of ecosystem services that are potential bio-indicators of environmental change because they can represent the response of
What is an integrated approach? Integrating different drivers of change: climate change and anthropogenic habitat loss. Integrating different levels of biodiversity from genes, through individuals
Photos of bats from fieldwork
Phylogeography and evolutionary history
Combining genetic and environmental data with spatial modelling and inference of evolutionary history to show how past climatic changes shaped patterns of genetic variation.
Field work photos
photos from field work in England, Spain, Portugal and Ethiopia 2010-2015