Theoretical and computational ecology laboratory
(1) The development of size- and stage-structured population and demographic models to understand fluctuating spatio-temporal patterns in ecological data.
(2) The mechanistic understanding of biodiversity community patterns through stochastic models in a wide range of ecological systems (coral reefs, microbial communities).
(3) The quantitative analysis and modelling high-throughput animal movement data, and the development of random search and foraging theory based on the use of model organisms (e.g. nematodes, ants).
(4) The modelling of invasive species (Aedes mosquitoes, marine species), for the case of mosquitoes including citizen science and smartphone technologies.
(5) The modelling of mosquito-borne diseases and zoonotic disease risk transmission.In sum, we are passionate about the discovery of general principles and how they may apply to ecology. We are interested in the application of universal principles of complex adaptive systems to ecology and value the mathematical approach as a way to develop predictive and conceptual models to bring light to current ecological problems.
Transience effect in capture-recapture studies: The importance of its biological meaning.
Future Directions in Conservation Research on Petrels and Shearwaters.
10.3389/fmars.2019.00094. Frontiers in Marine Science 18 March 2019