An Integrated Biosecurity Risk Assessment Model (IBRAM) for evaluating the risk of import pathways for the establishment of invasive species

Lisa E. Jamieson, Owen Woodberry, Steven Mascaro, Nicolas Meurisse, Rodelyn Jaksons, Samuel D.J. Brown, Michael Ormsby

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

An important aspect of analyzing the risk of unwanted organisms establishing in an area is understanding the pathways by which they arrive. Evaluating the risks of these pathways requires use of data from multiple sources, which frequently are uncertain. To address the needs of agencies responsible for biosecurity operations, we present an Integrated Biosecurity Risk Assessment Model (IBRAM) for evaluating the risk of establishment and dispersal of invasive species along trade pathways. The IBRAM framework consists of multiple linked models which describe pest entry into the country, escape along trade pathways, initial dispersal into the environment, habitat suitability, probabilities of establishment and spread, and the consequences of these invasions. Bayesian networks (BN) are used extensively to model these processes. The model includes dynamic BN components and geographic data, resulting in distributions of output parameters over spatial and temporal axes. IBRAM is supported by a web-based tool that allows users to run the model on real-world pest examples and investigate the impact of alternative risk management scenarios, to explore the effect of various interventions and resource allocations. Two case studies are provided as examples of how IBRAM may be used: Queensland fruit fly (Bactrocera tryoni) (Diptera: Tephritidae) and brown marmorated stink bug (Halyomorpha halys) (Hemiptera: Pentatomidae) are unwanted organisms with the potential to invade Aotearoa New Zealand, and IBRAM has been influential in evaluating the efficacy of pathway management to mitigate the risk of their establishment in the country.

Original languageEnglish
Number of pages21
JournalRisk Analysis
DOIs
Publication statusAccepted/In press - 8 Dec 2021

Keywords

  • Bayesian network
  • climate modeling
  • pathway risk management
  • pest risk analysis

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