Drake Research Group
Odum School of Ecology, University of Georgia
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Our research areas are population dynamics, species niche modeling, and applications of each to environmental management and policy. Our group tries to ask questions of greater generality than to a single organism or ecological relationship but with enough specificity to provide a particular interesting twist or challenge. Experimental work has used water fleas (Daphnia spp.) as a model organism, but some projects have used flour beetles (Tribolium spp.) and springtails (Folsomia spp.). This work aims to understand basic but still poorly understood small-population phenomena: demographic stochasticity, Allee effects, and extinction. Complementing this basic research, applied projects have focused on aquatic invasive species to answer questions like how many individuals it takes to establish a viable population, what characteristics predispose species to being good colonizers or having strong impacts on ecosystems, and where and how fast invading species will spread. New projects are aimed at extending tools and theory used in these projects to understanding outbreaks of emerging infectious diseases (SARS, West Nile Virus, Avian Influenza Viruses) and for forecasting biogeographic range shifts from global and regional changes in climate. Plans for future work include:
  • Experimental extinction with Daphnia and Folsomia
  • Population dynamics of West Nile virus in urban environments
  • Computational methods for niche identification from non-equilibrium populations and applications to disease risk mapping and species redistribution from climate change
  • Evolutionary ecology, population biology, and conservation of aquatic invertebrates in temporary habitats

POPULATION DYNAMICS

» Extinction in experimental populations

» Aging, reproduction, and life history in fluctuating environments

» Population dynamics of West Nile Virus

» Dynamics of seasonally forced populations

» Allee effects in extinction and colonization

NICHE THEORY

» Computational methods for disease risk mapping

» Non-probabilistic ecological niche identification and hypothesis testing

» Predicting species range fluctuations from introduction and climate forced migration
ECOLOGICAL APPLICATIONS

» Forecasting and managing biological invasions in the North American Great Lakes from discharged ballast water

» Risk classification for weeds and invasive species

» Controlling outbreaks of the invasive herb garlic mustard

» Predicting and controlling outbreaks of emerging infectious diseases


COLLABORATIVE PROJECTS

» NCEAS Working Group on Ecological Applications of Machine Learning
» Integrated System for Invasive Species (ISIS) Project


©
John M. Drake, Odum School of EcologyUniversity of Georgia
 Athens, GA 30602
Ph. 706.583.5538 FAX 706.542.3344