Senckenberg Biodiversity and Climate Research Centre, 60325 Frankfurt am Main, Germany;
Department of Botany and Biodiversity Research, University of Vienna, 1030 Vienna, Austria.
Proc Natl Acad Sci U S A. 2018 Mar 6;115(10):E2264-E2273. doi: 10.1073/pnas.1719429115. Epub 2018 Feb 5.
Our ability to predict the identity of future invasive alien species is largely based upon knowledge of prior invasion history. Emerging alien species-those never encountered as aliens before-therefore pose a significant challenge to biosecurity interventions worldwide. Understanding their temporal trends, origins, and the drivers of their spread is pivotal to improving prevention and risk assessment tools. Here, we use a database of 45,984 first records of 16,019 established alien species to investigate the temporal dynamics of occurrences of emerging alien species worldwide. Even after many centuries of invasions the rate of emergence of new alien species is still high: One-quarter of first records during 2000-2005 were of species that had not been previously recorded anywhere as alien, though with large variation across taxa. Model results show that the high proportion of emerging alien species cannot be solely explained by increases in well-known drivers such as the amount of imported commodities from historically important source regions. Instead, these dynamics reflect the incorporation of new regions into the pool of potential alien species, likely as a consequence of expanding trade networks and environmental change. This process compensates for the depletion of the historically important source species pool through successive invasions. We estimate that 1-16% of all species on Earth, depending on the taxonomic group, qualify as potential alien species. These results suggest that there remains a high proportion of emerging alien species we have yet to encounter, with future impacts that are difficult to predict.
我们预测未来入侵外来物种身份的能力在很大程度上取决于对先前入侵历史的了解。新兴外来物种——以前从未作为外来物种遇到过的物种——因此对全球生物安全干预构成了重大挑战。了解它们的时间趋势、起源以及传播驱动因素对于改进预防和风险评估工具至关重要。在这里,我们使用了一个包含 45984 个 16019 个已建立的外来物种首次记录的数据库,来研究全球新兴外来物种出现的时间动态。即使经过了几个世纪的入侵,新外来物种的出现率仍然很高:在 2000-2005 年期间记录的首次记录中,有四分之一是以前在任何地方都没有被记录为外来物种的物种,尽管在不同分类群之间存在很大的差异。模型结果表明,新兴外来物种的高比例不能仅仅用进口商品数量等已知驱动因素的增加来解释,这些驱动因素来自历史上重要的来源地区。相反,这些动态反映了新地区被纳入潜在外来物种库的情况,这可能是贸易网络和环境变化扩大的结果。这一过程通过连续的入侵来弥补历史上重要的来源物种库的枯竭。我们估计,根据分类群的不同,地球上有 1%-16%的物种可能是外来物种。这些结果表明,我们还有很大一部分尚未遇到的新兴外来物种,它们的未来影响难以预测。