School of Mathematical Sciences, The University of Adelaide, Adelaide, SA, Australia.
School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia.
Risk Anal. 2019 Jan;39(1):35-53. doi: 10.1111/risa.12870. Epub 2017 Aug 10.
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.
理解与特定运输途径和源地区相关的生物入侵风险对于实施有效的生物安保管理至关重要。这可能需要对区域之间的物理连通性进行建模,以及对环境相似性进行度量,以便量化物种从给定区域被运输并在目的地区域存活的潜力。我们基于来自每个全球地缘政治区域的航班和航运数据,对澳大利亚的综合生物安保风险进行了分析,并对“范围装袋”方法进行了改编,以确定区域之间的环境匹配程度。在这里,我们描述了环境匹配的全球模式,并强调了那些具有许多物理连接的区域。我们根据全球入侵风险(高到低)将模式分类为澳大利亚各州和领地。我们通过与 844 种植食性昆虫害虫物种的全球存在数据进行比较来验证我们的分析,并列出了以前未知在澳大利亚存在的高风险物种。我们确定,在所使用的验证昆虫害虫物种中,最有可能在澳大利亚存在的物种是那些与澳大利亚具有高运输连通性的地缘政治区域以及那些地理位置相近且环境相似的物种。