Modeling mountain pine beetle infestation with an agent-based approach at two spatial scales

Authored by Liliana Perez, Suzana Dragicevic

Date Published: 2010-02

DOI: 10.1016/j.envsoft.2009.08.004

Sponsors: National Science and Engineering Research Council of Canada (NSERC)

Platforms: Repast

Model Documentation: UML Other Narrative Pseudocode

Model Code URLs: Model code not found

Abstract

Extensive outbreaks of tree-killing insects have been occurring in many parts of North America, including the province of British Columbia, raising concerns about the health of pine forest ecosystems. The dynamic phenomenon of mountain pine beetle (MPB), Dendroctonus ponderosae Hopkins, infestation outbreaks is an inherent spatial and temporal complex process. Agent-based modeling (ABM) facilitates simulating spatial interactions that describe the ecological context in which insect populations spread. The main objective of this study was to develop a model of the MPB forest infestation dynamics. This spatially explicit model integrates geographic information systems (GISs) and ABM to simulate MPB outbreaks at the tree and landscape scales, providing spatiotemporal information of annual distribution and patterns of MPB outbreaks. This prototype was implemented with geographic data generated from aerial overview surveys carried out by the B.C. Ministry of Forests and Range, for the study site in Kamloops, Canada. Results show the direct influence that vigorous forest stands and trees have on higher breeding rates, and therefore in the MPB population increment at a tree scale, in a period of 5 years. The simulation results at the landscape level help to determine the most probable locations of future MPB infestations in a time frame of 10 years. (C) 2009 Elsevier Ltd. All rights reserved.

Tags

Forest disturbances Mountain pine beetle (MPB) Spatiotemporal modeling Agent-Based Models (ABM) Complex systems modeling Geographic information systems (GISs)