Our research is providing the innovative thinking and tools required to better understand, predict, and mitigate the impacts of future threats posed by shifting climates, habitat degradation, over exploitation and the unceasing rain of exotic species being transported around the globe.
We combine data from fieldwork, experiments and species genes with ecological and evolutionary theory using computational models to improve forecasts of biodiversity loss and altered ecosystem processes due to global change.
Global Change Biology
We use ecological models that integrate demographic, physiological and evolutionary responses to well-established threats to biodiversity to improve predictions of future extinctions, design effective adaptation strategies for achieving ecological resilience to global change, and to better manage invasive species
By integrating biotic information from fossils and molecular logbooks into the latest biodiversity-conservation models we are improving predictions of species range shifts, identifying ecological traits that have made some species more (or less) prone to regional and range-wide extinctions, improving threatened-species assessment approaches and pinpointing habitats that support the persistence of species and populations in response to shifting climates.
Through a tighter integration of genetic data when constructing and validating range dynamics models, we are improving predictions of demographic and evolutionary responses to climate change; and helping conservation scientists to better connect theory to the on-ground design and implementation of effective measures to protect biodiversity.
Our climate research provides novel straightforward, consistent and defensible methods for ecologists and evolutionary biologists to generate estimates of past and future climate change at spatiotemporal resolutions suitable for discerning how climate fluctuations affected diversity.