title: Establishment risks for invasive species.
abstract: This article presents a quantitative methodology for evaluating the probability of invasive pest species establishing persistent populations. The estimation of pest establishment relies on data and information describing the biology and ecology of the pest and its interactions with potential host species and the regional environment. This information is developed using a model construct borrowed from theoretical population ecology. The methodology for estimating the probability of pest establishment is part of an overall framework that explores the implications of reductions in pest invasions on subsequent establishment. The risk reduction framework integrates the engineering aspects of different technologies for reducing pest entry, the biology and ecology of pest species, the suitability of potentially susceptible hosts, and the quality of available habitats. The methodology for estimating the risk of establishment is presented using an example pest, the Asian longhorned beetle (Anoplophora glabripennis), which has been introduced into the United States via solid wood packing materials (SWPM) used in international commerce. Uncertainties inherent to the estimation of model parameters that determine the risk of establishment are defined, quantified, and propagated through the population model. Advantages and limitations of the proposed methodology are discussed along with recommendations to make the approach more useful in the management of risks posed by the establishment of pest populations.
authors.affiliation: The Cadmus Group, Inc., 339 Whitecrest Dr., Maryville, TN 37801, USA. sbartell@cadmusgroup.com
authors.forename: Steven M
authors.initials: SM
authors.lastname: Bartell
authors.forename: Shyam K
authors.initials: SK
authors.lastname: Nair
mesh_terms: D000465:Algorithms; D000818:Animals; D001517:Coleoptera; D003710:Demography; D004463:Ecology / Q000379:methods*; D017753:Ecosystem; D004777:Environment; D007300:Insect Control; D008962:Models, Theoretical; D011157:Population Dynamics; D011336:Probability; D011679:Pupa / Q000502:physiology; D012306:Risk; D018570:Risk Assessment; D013997:Time Factors