NIMBioS logo banner.


Quantitative Bioscience at the University of Tennessee

Biogeography/Physiology

Island image.

Biogeography is the study of the changing distributions of species and groups of species in space and time, and the physical, biological, and cultural factors that influence distribution patterns. Increasingly quantitative, statistical and inferential, biogeography uses phylogenetic and geological information to infer long-term and large-distance patterns in distribution of clades, including extinct species. Ecological approaches consider distribution of extant species as a function of modern conditions, such as climate and latitude. These approaches help scientists to understand species distributions and predict future changes.

Researcher Department Research Interests
P. Armsworth photo. Paul Armsworth
Email
Ecology & Evolutionary Biology Applications of mathematical modeling, statistics and optimization to inform conservation of biodiversity and the management of ecosystem services
O. Gaoue. Orou Gaoue
Email
Ecology & Evolutionary Biology Conservation biology, demography, plant-human interactions
X. Giam. Xingli Giam
Email
Ecology & Evolutionary Biology Conservation ecology, global environmental change
B. O'Meara. Brian O'Meara
Email
Ecology & Evolutionary Biology Phylogenetics, macroevolution
K. Sheldon. Kimberly Sheldon
Email
Ecology & Evolutionary Biology Biogeography, physiological ecology, tropical ecology
D. Simberloff. Daniel Simberloff
Email
Ecology & Evolutionary Biology Biological invasions, ecology, conservation biology, biogeography



NIMBioS
1122 Volunteer Blvd., Suite 106
University of Tennessee
Knoxville, TN 37996-3410
PH: (865) 974-9334
FAX: (865) 974-9461
Contact NIMBioS

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.
©2008-2021 National Institute for Mathematical and Biological Synthesis. All rights reserved.