JSM 2005 - Toronto

Abstract #303917

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 108
Type: Contributed
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #303917
Title: Agent-based Modeling of Invasive Species
Author(s): Weijie Cai*+ and James Gentle and Jeffrey Morisette
Companies: George Mason University and George Mason University and NASA Goddard Space Flight Center
Address: School of Computational Sciences, Fairfax, VA, 22030, United States
Keywords: agent-based modeling ; spatio-temporal model ; invasive species
Abstract:

Invasive species cause significant harm to the economy, to the environment, and to human health. It is important to identify susceptible geographical regions and to understand the mechanisms by which their spread is mitigated. This study of selected invasive vascular plants involves a range of statistical methods using data from ground-based observations of prevalence, soil and topographic maps, and satellite observations of various environmental features. The available data are quite sparse, especially over time periods that approach the lifespan of the plants. In addition to statistical analysis of data, we are developing agent-based models to study the spread of the invasive species and their response to various environmental factors. We treat each plant as an agent, then define activities for these agents within a specific landscape. The rules for agents incorporate environmental factors such as local meteorology, nutritional resources, and the competition for limited resources with adjacent plants. The results of the model may explain spatiotemporal invasion trends under the mixed influence of various environmental factors.

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Revised March 2005