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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 A
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 Click here
to download results presented in This
research was supported by the NSF EAPSI grant OISE-0513277 and a fellowship
from the |
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Graduate Group in Ecology ∙ Information Center for the Environment ∙ Dept. Environmental Science and Policy |