Geospatial pest-parasitoid agent based model for optimizing biological control of forest insect infestation
Authored by Taylor M Anderson, Suzana Dragicevic
Date Published: 2016
DOI: 10.1016/j.ecolmodel.2016.07.017
Sponsors:
National Science and Engineering Research Council of Canada (NSERC)
Platforms:
Repast
Java
Model Documentation:
ODD
Flow charts
Mathematical description
Model Code URLs:
Model code not found
Abstract
Forest insect infestations behave as complex systems and can be
represented using agent-based modeling (ABM) approaches to explore and
optimize eradication strategies such as biological control. This study
develops novel geospatial agent-based EAB-BioCon model for the
interactions of emerald ash borer (EAB) with the parasitoid Tetrastichus
planipennisi (TP) wasp in order to evaluate the spread of forest
infestations. The model is implemented on geospatial data from City of
Oakville, Canada and is composed of: (1) EAB-Baseline model, representing EAB geospatial dynamics; and (2) EAB-TP model that employs
scenarios to measure EAB response to variations in TP-based biological
control strategies. The EAB-BioCon model simulation results indicate
that variations of TP densities, timing of TP release, and number of TP
release points are important considerations in the EAB biological
control and thus providing useful conclusions in decision making and
management. (C) 2016 Elsevier B.V. All rights reserved.
Tags
Spread
North-america
Fraxinus spp.
Life-history
Emerald ash borer
Tetrastichus-planipennisi hymenoptera
Oobius-agrili
hymenoptera
Coleoptera buprestidae
Fairmaire
coleoptera
Eulophidae