Key themes running through my research are: finding simple models to understand complex ecological problems; using noisy or sparse data to find quantitative solutions for real life problems; and developing novel ways to teach, disseminate research, and engage people in the biosciences.
Two broad areas of research are currently of interest to me:
- Quantifying and predicting in ecology: spatial patterns, resources, dispersal and connectivity across landscapes, probability of detection issues, and effective use of scarce, uncertain or ordinal data. Real world applications include models to assess and predict herbivore density-damage impacts on plants, and interactions between climate, plant productivity and animal populations in resource pulse-driven ecosystems.
- Games with a purpose: multiplayer games to understand perceptions of, and educate about, sustainable and economic use of shared resources, and as a communication conduit between multiple stakeholders in wicked ecological problems, and games to motivate, support and improve learning in higher education.