University of Aberdeen
Key Research Interests
- Causes and consequences of movement (dispersal, migration, foraging); implications for landscape connectivity.
- The ecological, evolutionary and genetic dynamics of range expansions and range shifts.
- Forecasting ecological futures using eco-evolutionary models and linking these models to land-use and climate models.
- Understanding the drivers of eukaryotic and prokaryotic diversity in Wallacea (newly funded project and interest)
- Applying AI approaches to ecological forecasting and management (another newly funded project and new interest.)
Recent Key Papers
- Urban MC, 20 authors, Travis JMJ. 2016. Improving the forecast for biodiversity under climate change. Science 353: aad8466.
- Coulon A, Aben J, Palmer SCF, Stevens VM, Callens T, Strubbe D, Lens L, Matthysen E, Baguette M, Travis JMJ. 2015. A stochastic movement simulator improves estimates of connectivity. Ecology 96: 2203-2213.
- Santini L, Cornulier T, Bullock JM, Bullock JM, Palmer SCF, White SM, Hodgson JA, Bocedi G, Travis JMJ. 2016. A traitbased approach for predicting species responses to environmental change from sparse data: how well might terrestrial mammals track climate change? Global Change Biology 22: 2415-2424.
Summary Title of Current Studentships
- Developing a Marine RangeShifter to investigate the causes and consequences of dispersal in environments dominated by currents.
- Applying AI and machine learning to improve forecasts for and management of biodiversity under environmental change.
- QUADRAT DTP student, Cristina Rueda-Uribe: Understanding and managing connectivity across habitat types: the case of avian pollinators with altitudinal movement in the tropical Andes mountains