Quantitative Bioscience at the University of Tennessee

Quantitative Ecology/Ethnoecology

Quantitative ecology/ethnoecology draws upon environmental science, agricultural sciences, research methodology, and biometrics to study how humans understand and interact with the ecosystems around them. The discipline applies biomathematics, environmental informatics, and biostatistical methods in the life and environmental sciences to data collection, data analysis, modeling, monitoring, evaluation, and data communication. A quantitative approach has great significance in ecology and ethnoecology where large quantities of observation, measurement, experiment, or literature data are available to describe and understand complex systems, processes, or phenomena.

	Department	Research Interests
Paul Armsworth Email	Ecology & Evolutionary Biology	Applications of mathematical modeling, statistics and optimization to inform conservation of biodiversity and the management of ecosystem services
Michael J. Blum Email	Ecology & Evolutionary Biology	Aquatic ecology, socioecology, sustainability, conservation biology
Orou Gaoue Email	Ecology & Evolutionary Biology	Conservation biology, demography, plant-human interactions
Xingli Giam Email	Ecology & Evolutionary Biology	Conservation ecology, global environmental change
Louis Gross Email	Ecology & Evolutionary Biology; Mathematics	Mathematical ecology. Director, NIMBioS; Director, The Institute for Environmental Modeling (TIEM)
Monica Papeş Email	Ecology & Evolutionary Biology; Director, Spatial Analysis Lab	Ecological niche modeling, conservation science, GIS and remote sensing

NIMBioS
1122 Volunteer Blvd., Suite 106
University of Tennessee
Knoxville, TN 37996-3410
PH: (865) 974-9334
FAX: (865) 974-9461
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From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.