Cooperative Research Centre for National Plant Biosecurity, Bruce, Australia.
PLoS One. 2012;7(9):e44589. doi: 10.1371/journal.pone.0044589. Epub 2012 Sep 6.
Species can sometimes spread significant distances beyond their natural dispersal ability by anthropogenic means. International shipping routes and the transport of shipping containers, in particular are a commonly recognised pathway for the introduction of invasive species. Species can gain access to a shipping container and remain inside, hidden and undetected for long periods. Currently, government biosecurity agencies charged with intercepting and removing these invasive species when they arrive to a county's border only assess the most immediate point of loading in evaluating a shipping container's risk profile. However, an invasive species could have infested a container previous to this point and travelled undetected before arriving at the border. To assess arrival risk for an invasive species requires analysing the international shipping network in order to identify the most likely source countries and the domestic ports of entry where the species is likely to arrive. We analysed an international shipping network and generated pathway simulations using a first-order Markov chain model to identify possible source ports and countries for the arrival of Khapra beetle (Trogoderma granarium) to Australia. We found Kaohsiung (Taiwan) and Busan (Republic of Korea) to be the most likely sources for Khapra beetle arrival, while the port of Melbourne was the most likely point of entry to Australia. Sensitivity analysis revealed significant stability in the rankings of foreign and Australian ports. This methodology provides a reliable modelling tool to identify and rank possible sources for an invasive species that could arrive at some time in the future. Such model outputs can be used by biosecurity agencies concerned with inspecting incoming shipping containers and wishing to optimise their inspection protocols.
物种有时可以通过人为手段在其自然扩散能力之外传播到很远的距离。国际航运路线和运输集装箱,特别是被广泛认为是入侵物种引入的途径。物种可以进入一个集装箱并在里面隐藏起来,长时间不被发现。目前,负责在这些入侵物种到达一个国家边境时进行拦截和清除的政府生物安全机构,仅在评估集装箱的风险概况时,评估最接近的装货点。然而,在到达边境之前,一种入侵物种可能已经在一个集装箱中繁殖并在未被发现的情况下进行了长途运输。要评估入侵物种的到达风险,需要分析国际航运网络,以确定最有可能的来源国家和该物种可能到达的国内入境港口。我们分析了一个国际航运网络,并使用一阶马尔可夫链模型生成了路径模拟,以确定到达澳大利亚的麦蛾(Trogoderma granarium)的可能来源港口和国家。我们发现高雄(中国台湾)和釜山(韩国)是麦蛾到达的最可能的来源,而墨尔本港是到达澳大利亚的最可能的入境点。敏感性分析显示,外国和澳大利亚港口的排名具有显著的稳定性。这种方法为识别和排名未来某个时候可能到达的入侵物种的可能来源提供了一个可靠的建模工具。生物安全机构可以使用这种模型输出来检查入境集装箱,并希望优化他们的检查协议。