Brian Beckage

Dr. Brian BeckageAssociate Professor of Plant Biology

Ph.D. 2000, Duke University

Email: Brian.Beckage@uvm.edu

Phone: 802-656-0197

Office: 125 Marsh Life Science Building

Research Area: Forest Ecology, Theoretical Ecology, Statistics

Courses Taught: Special Topics in Ecology (PBIO 295); Advanced Topics in Ecology (PBIO 296); Data Analysis for Biological & Environmental Scientists (PBIO 295)

Link to my Web Page

Summary of Research Program

I am an ecologist broadly interested in population and community dynamics including tree demography, maintenance of species richness, and the ecological effects of climate change. I emphasize the use of quantitative approaches to investigate the mechanisms structuring ecological systems, including statistical models, analytical models, and computer simulation models. There are four areas of research that I am currently most interested in:

(1) Disturbance and Savanna Dynamics. Disturbance frequency can exert a strong influence on patterns of diversity in forests and interactions between disturbances can have strong effects on community dynamics. I am currently studying the potential for fire and hurricane disturbance to mediate the transition between forests, savannas, and open grassland systems using both empirical field studies and models. We have developed a cellular automaton model of pine savanna dynamics and are expanding this model into a fully spatial, individual-based model that will also incorporate our data from field sites in southeastern pinelands.

(2) Climate Change and Ecological Communities.

(3) Tree Diversity. Identifying the mechanisms that maintain species diversity in forest stands is a central question in plant ecology. My past research in the southern Appalachians has examined the importance of several hypothesized mechanisms to maintaining species diversity. I have found little evidence supporting the role of regeneration niches, differential predation, or spatial heterogeneity in recruitment processes in contributing to species diversity within forest stands. I am interested in both empirical and theoretical studies of the role of neutral processes in forests.

(4) Complexity, NKS, and Ecology. Ecological communities are complex, nonlinear systems that often display emergent properties. I am interested in the potential for simple models such as cellular automata to capture complex behaviors and properties using simple rules.

Selected Publications