NIMBioS logo banner.


Quantitative Bioscience at the University of Tennessee

Environmental Modeling

Environment image.

Environmental modeling helps improve the understanding of natural systems and how they react to changing conditions, such as exposure to hazardous substances and the temporal and dose effects from the exposure. Environmental modeling deals with representation of processes that occur in the real world in space and time. The processes that transform the environment through time are mostly described by dynamic models based on differential equations. Environmental modeling may be used purely for research purposes and improved understanding of environmental systems or for providing an interdisciplinary analysis that can inform decision making and policy.

Visit The Institute for Environmental Modeling (TIEM) at UT.

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
 photo. Michael J. Blum
Email
Ecology & Evolutionary Biology Aquatic ecology, socioecology, sustainability, conservation biology
L. Gross. Louis Gross
Email
Ecology & Evolutionary Biology; Mathematics Mathematical ecology. Director, NIMBioS; Director, The Institute for Environmental Modeling (TIEM)
Y. Jager photo. Yetta Jager
Email
Ecology & Evolutionary Biology; Environmental Sciences Division, Oak Ridge National Lab Quantitative ecology, hydropower, conservation biology
 photo. Nicholas Nagle
Email
Geography Spatial statistics and demography
S. Shaw photo. Shih-Lung Shaw
Email
Geography Transportation, GIS, space time analytics, human dynamics



NIMBioS
1122 Volunteer Blvd., Suite 106
University of Tennessee
Knoxville, TN 37996-3410
PH: (865) 974-9334
FAX: (865) 974-9300
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.