PerezDragicevic2010

Reference

Perez, L., Dragicevic, S. (2010) Modeling mountain pine beetle infestation with an agent-based approach at two spatial scales. Environmental Modelling and Software, 25(2):223-236. (Scopus )

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. © 2009 Elsevier Ltd. All rights reserved.

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@ARTICLE { PerezDragicevic2010,
    AUTHOR = { Perez, L. and Dragicevic, S. },
    TITLE = { Modeling mountain pine beetle infestation with an agent-based approach at two spatial scales },
    JOURNAL = { Environmental Modelling and Software },
    YEAR = { 2010 },
    VOLUME = { 25 },
    PAGES = { 223-236 },
    NUMBER = { 2 },
    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. © 2009 Elsevier Ltd. All rights reserved. },
    ADDRESS = { Spatial Analysis and Modeling Laboratory, Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A1S6, Canada },
    COMMENT = { Cited By (since 1996):15 Export Date: 18 February 2014 Source: Scopus },
    KEYWORDS = { Agent-based models (ABM), Complex systems modeling, Forest disturbances, Geographic information systems (GISs), Mountain pine beetle (MPB), Spatiotemporal modeling },
    OWNER = { Luc },
    TIMESTAMP = { 2014.02.18 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-74249118232&partnerID=40&md5=c0abc40bc83a9ef3826c10e734db8a39 },
}

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