Timothy H Keitt

Department of Integrative Biology

Phone: 512-471-5004

Office Location
BIO 223B

Postal Address
The University of Texas at Austin
Department of Integrative Biology, College of Natural Sciences
2415 Speedway
Austin, TX 78712

Research Summary: 

My research addresses broadly the structure and dynamics of ecological systems. The major question of my research program is how can we use modeling to scale-up microecological mechanisms related to individual traits and physical processes to predict macroecological outcomes such as population persistence, community organization, ecosystem function, biogeographic patterns and climate change impacts. Some of the tools I use include individual-based modeling, wavelet-based time series analysis and hierarchical Bayesian estimation. I collaborate broadly with empirical and experimental scientists and the majority of my students pursue field studies. We have worked in a variety of environments including Madagascar, Brazil, Southern Africa, Fiji, Micronesia, China, Taiwan, Baja California, Veracruz and Texas.

Some recent projects include:
Collaborating with Panthera.Org, I am evaluating range-wide habitat connectivity of the Jaguar and developing new methods to quantify dispersal capacity of landscape using a maximum flow approach. I am extending this approach to include multispecies optimization approaches to habitat-base conservation planning.
"The Physiological Genomics of Panicum: Exploring switchgrass responses to climate change" (NSF funded). In collaboration with plant geneticists and experimentalists we are combining landscape ecological, experimental and genomic approaches to understand the genetic basis of phenotypic responses to environmental stress. My lab is pursing novel statistical techniques to identify signatures of local adaptation in genomic data. We are building models to evaluate future biomass production potential under climate change scenarios. A key question is the tradeoffs among biofuel production, food production and biodiversity conservation.
"Genetic connectivity and evolution of resiliency to stress in Micronesian corals" (NOAA funded). In collaboration with marine biologists, we are using molecular methods to map population connectivity among Micronesian coral atolls.
"Incorporating physiological variation in mechanistic range models for ecological forecasting" (NSF funded). We are using advanced biophysical models, parametrized with field and laboratory data, to forecast Sceloporus lizard reponses to climate change.