Predicting and modeling biodiversity pattern
How can we best use disparate data sources to predict biodiversity? Single species environmental niche models, such as BIOCLIM are one way. Another approach, Generalized Dissimilarity Modelling (GDM), couples biotic data with environmental data to model species turnover (compositional dissimilarity). GDM has been used in a variety of contexts, including in a global assessment of representativeness of protected areas.
Assessing climate change impacts on species and phylogenetic diversity
Palaeo environmental niche models can be useful for understanding current phylogeographic pattern and climate change impacts on species. Currently I am generating single species models and GDM predictions for current, palaeo (2100 ybp and 6000 ybp) and future (2100) climate scenarios. Model results will be evaluated by how well they predict known phylogeographic patterns. This work focuses on reptiles and amphibians in the Wet Tropics in North East Queensland.
Reserve design and conservation planning
major concern in conservation planning is minimizing the impact, both social
and economic, on local communities. I recently helped design a
framework to minimize opportunity costs in
to download results presented in
research was supported by the NSF EAPSI grant OISE-0513277 and a fellowship