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Predicting the Risk of Biological Invasions Using Environmental Similarity and Transport Network Connectedness.
Cope, Robert C; Ross, Joshua V; Wittmann, Talia A; Watts, Michael J; Cassey, Phillip.
Afiliación
  • Cope RC; School of Mathematical Sciences, The University of Adelaide, Adelaide, SA, Australia.
  • Ross JV; School of Mathematical Sciences, The University of Adelaide, Adelaide, SA, Australia.
  • Wittmann TA; School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia.
  • Watts MJ; Information Technology Programme, AIS St Helens, Auckland, New Zealand.
  • Cassey P; School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia.
Risk Anal ; 39(1): 35-53, 2019 01.
Article en En | MEDLINE | ID: mdl-28796311
ABSTRACT
Understanding the risk of biological invasions associated with particular transport pathways and source regions is critical for implementing effective biosecurity management. This may require both a model for physical connectedness between regions, and a measure of environmental similarity, so as to quantify the potential for a species to be transported from a given region and to survive at a destination region. We present an analysis of integrated biosecurity risk into Australia, based on flights and shipping data from each global geopolitical region, and an adaptation of the "range bagging" method to determine environmental matching between regions. Here, we describe global patterns of environmental matching and highlight those regions with many physical connections. We classify patterns of global invasion risk (high to low) into Australian states and territories. We validate our analysis by comparison with global presence data for 844 phytophagous insect pest species, and produce a list of high-risk species not previously known to be present in Australia. We determined that, of the insect pest species used for validation, the species most likely to be present in Australia were those also present in geopolitical regions with high transport connectivity to Australia, and those regions that were geographically close, and had similar environments.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Medición de Riesgo / Insectos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals País/Región como asunto: Oceania Idioma: En Revista: Risk Anal Año: 2019 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Medición de Riesgo / Insectos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals País/Región como asunto: Oceania Idioma: En Revista: Risk Anal Año: 2019 Tipo del documento: Article País de afiliación: Australia