A new framework for predicting invasive plant species
A new framework for predicting invasive plant species
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DOI：
10.1111/j.1365-2745.2007.01332.x
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发表时间：
2007-11
影响因子：
5.5
通讯作者：
A. Moles;M. Gruber;S. Bonser
中科院分区：
文献类型：
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作者：
A. Moles;M. Gruber;S. Bonser
1. 许多研究都在寻找成功入侵物种的特征。不幸的是，这项工作很少得出普遍性结论。似乎成功入侵物种的特征是独特的且取决于环境。除非我们对每个潜在入侵物种在每个可能的目标群落中逐一进行研究，否则我们将需要一种新的方法。
2. 我们引入了一个框架，用于预测在给定生态系统中可能带来成功的特征。我们的方法考虑了主要的环境条件、本地物种的特征以及潜在入侵物种的特征。
3. 我们的方法可应用于环境条件和/或干扰状况近期发生变化的生态系统，以预测以下几类物种所占据的特征空间范围：(i) 面临局部灭绝风险的本地物种；(ii) 在当前条件下能够持续生存的本地物种；(iii) 成功的入侵物种。我们的方法还可用于识别可能面临入侵风险的未被占据的可行特征空间（即空生态位）。
4. 综述。理解由环境条件快速变化导致的入侵以及由空生态位的殖民化导致的入侵，对于入侵生物学来说将是向前迈出的重要一步。这里描述的概念框架不限于植物入侵：相同的方法可用于任何分类群（例如昆虫、鱼类、哺乳动物和海洋无脊椎动物），也可用于预测物种对环境变化的反应。
1 Many studies have searched for traits that characterize successful invaders. Unfortunately, very few generalizations have emerged from this work. It seems that the traits of successful invaders are idiosyncratic and context‐dependent. Unless we are to study each potential invader in each possible target community individually, we will need a new approach. 2 We introduce a framework for predicting traits that are likely to confer success in a given ecosystem. Our approach considers the prevailing environmental conditions, the traits of resident species, and the traits of potentially invading species. 3 Our approach can be applied to ecosystems where the environmental conditions and/or disturbance regime have recently changed, to predict the range of trait space occupied by (i) native species at risk of local extinction, (ii) native species that can persist under the present conditions, and (iii) successful invaders. Our approach can also be used to identify unoccupied viable trait space (i.e. vacant niches) that might be at risk of invasion. 4 Synthesis. Understanding invasions resulting from rapid changes in environmental conditions and invasions resulting from the colonization of vacant niches would be a major step forward for invasion biology. The conceptual framework described here is not limited to plant invasions: the same approach can be used for any taxa (e.g. insects, fish, mammals and marine invertebrates) and could also be used to predict species responses to environmental change.