Invasion biology in the bigger picture

人类活动造成的物种扩散程度是前所未有的，而且随着全球交通量的增加可能会增加。虽然大多数非本地物种（NIS）不会造成明显的问题，但有些物种会造成巨大的环境和经济损失。了解哪些物种可能造成问题，它们在哪里传播，它们的影响是什么以及如何管理它们至关重要。因此，我的长期目标是利用现有的最佳数据，在区域、国家和国际范围内了解和预测物种入侵过程的所有阶段。我将在过去十年中取得的重大进展的基础上，从更大的角度研究生物入侵。我们正处于一个令人兴奋的节点，在入侵过程的每个阶段都存在许多预测模型，同时，数据库和“大数据”变得越来越可用。我将集中在本提案中的三个主题- 1）预测模型的合成（跨入侵组件），2）广义入侵模型（跨物种），3）国际规模的入侵。

The extent of species dispersal, mediated through human activity, is unprecedented and likely to increase as global traffic increases. Although most non-indigenous species (NIS) do not cause obvious problems, some species cause immense environmental and economic damages. Understanding which species are likely to cause problems, where they spread, what are their impacts and how to manage them is critical. Thus, my long-term objective is to understand and predict all stages of the species invasion process, across suites of species, at regional, national and international scales, using the best data available. I will examine biological invasions in the bigger picture, building on the substantial advances that have occurred over the last decade. We are at an exciting nexus, where numerous predictive models exist for each stage of the invasion process and simultaneously, databases and “big data” have become increasingly available. I will focus on three themes in this proposal - 1) Synthesis of predictive models (across invasion components), 2) Generalized invasion models (across species), 3) Invasions at the international scale.