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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

Predicting the Risk of Biological Invasions Using Environmental Similarity and Transport Network Connectedness

Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

(Uploaded by Plazi for the IPBES Invasive Alien Species Assessment) 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.

Indexed from repository: Zenodo (zenodo.org)

Document Information

Document Title Predicting the Risk of Biological Invasions Using Environmental Similarity and Transport Network Connectedness
Author / Organization Cope, Robert C., Ross, Joshua V., Wittmann, Talia A., Watts, Michael J., Cassey, Phillip
Subject & Discipline Scientific Research & Data
Categories Science & Mathematics
Publication Year 2019
License / Rights Creative Commons Attribution 4.0
Resource Verification Listed PDF (Verification Pending)
Original Host Website Zenodo (zenodo.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-2512
Original Source Link Visit Source Page on zenodo.org »