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入侵植物具有更广泛的生理生态位。

Invasive plants have broader physiological niches.

机构信息

Department of Botany, University of Otago, Dunedin 9054, New Zealand; and

Centre for Invasion Biology and Department of Botany and Zoology, Stellenbosch University, Matieland 7602, South Africa.

出版信息

Proc Natl Acad Sci U S A. 2014 Jul 22;111(29):10610-4. doi: 10.1073/pnas.1406075111. Epub 2014 Jul 2.

Abstract

Invasive species cost the global economy billions of dollars each year, but ecologists have struggled to predict the risk of an introduced species naturalizing and invading. Although carefully designed experiments are needed to fully elucidate what makes some species invasive, much can be learned from unintentional experiments involving the introduction of species beyond their native ranges. Here, we assess invasion risk by linking a physiologically based species distribution model with data on the invasive success of 749 Australian acacia and eucalypt tree species that have, over more than a century, been introduced around the world. The model correctly predicts 92% of occurrences observed outside of Australia from an independent dataset. We found that invasiveness is positively associated with the projection of physiological niche volume in geographic space, thereby illustrating that species tolerant of a broader range of environmental conditions are more likely to be invasive. Species achieve this broader tolerance in different ways, meaning that the traits that define invasive success are context-specific. Hence, our study reconciles studies that have failed to identify the traits that define invasive success with the urgent and pragmatic need to predict invasive success.

摘要

入侵物种每年给全球经济造成数十亿美元的损失,但生态学家一直难以预测引入物种自然归化和入侵的风险。虽然需要精心设计实验才能充分阐明是什么使某些物种具有入侵性,但可以从涉及超出其自然范围引入物种的非故意实验中学到很多东西。在这里,我们通过将基于生理的物种分布模型与 749 种澳大利亚金合欢属和桉树树种的入侵成功数据相关联来评估入侵风险,这些树种在一个多世纪以来已在世界各地被引入。该模型正确预测了来自独立数据集的澳大利亚以外 92%的观测发生情况。我们发现,入侵性与生理生态位体积在地理空间中的投影呈正相关,从而表明能够耐受更广泛环境条件的物种更有可能具有入侵性。物种以不同的方式实现这种更广泛的耐受性,这意味着定义入侵成功的特征是具体情况具体分析的。因此,我们的研究调和了那些未能确定定义入侵成功的特征的研究,以及迫切和务实的预测入侵成功的需求。

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