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A classification system for predicting invasiveness using climatic niche traits and global distribution models: application to alien plant species in Chile
NeoBiota ( IF 3.8 ) Pub Date : 2020-12-10 , DOI: 10.3897/neobiota.63.50049
Ramiro O. Bustamante , Lúa Alves , Estefany Goncalves , Milen Duarte , Ileana Herrera

Functional traits that predict plant invasiveness are a central issue in invasion ecology. However, in many cases they are difficult to determine, especially for a large set of species. Climatic niche traits can overcome this problem due to the ease of acquiring them for a large number of species. This effort is critical given that knowledge of species invasiveness is necessary (although not sufficient) to anticipate/manage invasive species. In this study, we examined thermal and hydric niche traits to predict plant invasiveness. We used a set of 49 alien plant species, representative of the alien flora of Chile. Niche traits were obtained using environmental information (WorldClim) and global occurrences. Invasiveness was estimated using global niche models and projection of the potential distribution in Chile. As a final step, we reviewed the literature for a subset of species, documenting their impacts on a) biodiversity, b) crop agriculture and c) livestock. Thermal niche breadth and thermal niche position were the most important niche traits to predict potential distribution (a proxy of invasiveness). Using thermal niche breadth and niche position traits, we constructed a graphical model that classifies alien species as highly invasive (wide thermal niche breadth and low niche position) or low potential to be invasive (narrow niche breadth and high niche position). We also found no association between our invasiveness classification and the documented impact of alien species.

中文翻译:

利用气候生态位特征和全球分布模型预测入侵性的分类系统:在智利的外来植物物种中的应用

预测植物入侵性的功能性状是入侵生态学的中心问题。但是,在许多情况下很难确定它们,尤其是对于大量物种而言。气候利基性状可以克服这个问题,因为它很容易获得大量物种。鉴于对物种入侵性的了解对于预测/管理入侵物种是必要的(尽管不足),因此这一努力至关重要。在这项研究中,我们检查了热和水生利基性状,以预测植物的入侵性。我们使用了49种外来植物物种,代表了智利的外来植物区系。生态位特征是利用环境信息(WorldClim)和全球性事件获得的。入侵程度是使用全球利基模型和智利潜在分布的预测进行估算的。最后一步 我们回顾了一部分物种的文献,记录了它们对a)生物多样性,b)作物农业和c)牲畜的影响。热生态位宽度和热生态位位置是预测潜在分布(侵入性的代名词)的最重要的生态位特征。利用热生态位宽度和生态位位置特征,我们构建了一个图形模型,将外来物种分为高侵入性(宽热生态位宽度和低生态位位置)或低入侵潜力(窄生态位宽度和高生态位位置)。我们还发现我们的入侵性分类与记录的外来物种影响之间没有关联。热生态位宽度和热生态位位置是预测潜在分布(侵袭性的代名词)的最重要的生态位特征。利用热生态位宽度和生态位位置特征,我们构建了一个图形模型,将外来物种分为高侵入性(宽热生态位宽度和低生态位位置)或低入侵潜力(窄生态位宽度和高生态位位置)。我们还发现我们的入侵性分类与记录的外来物种影响之间没有关联。热生态位宽度和热生态位位置是预测潜在分布(侵入性的代名词)的最重要的生态位特征。利用热生态位宽度和生态位位置特征,我们构建了一个图形模型,将外来物种分为高侵入性(宽热生态位宽度和低生态位位置)或低入侵潜力(窄生态位宽度和高生态位位置)。我们还发现我们的入侵性分类与记录的外来物种影响之间没有关联。我们构建了一个图形模型,将外来物种分类为高侵入性(较窄的利基宽度和较高的利基位置)或高侵入性(较窄的利基位置和较低的利基位置)。我们还发现我们的入侵性分类与记录的外来物种影响之间没有关联。我们构建了一个图形模型,将外来物种分类为高侵入性(较窄的利基宽度和较高的利基位置)或高侵入性(较窄的利基位置和较低的利基位置)。我们还发现我们的入侵性分类与记录的外来物种影响之间没有关联。
更新日期:2020-12-10
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