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Plant–soil feedback contributes to predicting plant invasiveness of 68 alien plant species differing in invasive status
Oikos ( IF 3.4 ) Pub Date : 2020-05-18 , DOI: 10.1111/oik.07186
Anna Aldorfová 1, 2 , Pavlína Knobová 1 , Zuzana Münzbergová 1, 2
Affiliation  

Understanding what species characteristics allow some alien plants to become invasive while others fail is critical to our understanding of community assembly processes. While many characteristics have been shown to predict plant invasiveness, the importance of plant–soil feedback (PSF) in invasions has been difficult to assess since individual studies include only a few species and use disparate methodology. We studied PSF of 68 invasive and non‐invasive alien species in a single two‐phase common garden experiment, and compared the relative importance of PSF, residence time, phylogenetic novelty and plant traits for plant invasiveness. Additionally, we explored relationships between PSF, residence time and phylogenetic novelty. PSF for seedling establishment, but not for biomass, was a significant predictor of invasive status, with invasive species having more positive PSF than non‐invasive species. Its explanatory power was, however, much lower than that of specific leaf area, height and residence time. Phylogenetically novel species experienced less negative PSF than species with native congeners, suggesting they benefit more from enemy release. PSF of non‐invasive species, contrary to that of invasive species, was becoming more negative with increasing residence time. We demonstrated that PSF for seedling establishment plays a role in predicting plant invasiveness and is a better predictor than more commonly studied PSF for plant biomass. Other species traits, such as specific leaf area, however, predict plant invasiveness much better than the PSF.

中文翻译:

植物-土壤反馈有助于预测68种入侵状态不同的外来植物的植物入侵

了解什么物种特征可以使某些外来植物变得入侵,而另一些则失败,这对于我们对社区组装过程的理解至关重要。尽管已经显示出许多特征可以预测植物的入侵性,但是由于个别研究仅涉及少数物种并使用不同的方法,因此很难评估植物-土壤反馈(PSF)在入侵中的重要性。我们在一个单一的两阶段公共花园实验中研究了68种侵入性和非侵入性外来物种的PSF,并比较了PSF,停留时间,系统发育新颖性和植物性状对植物侵入性的相对重要性。此外,我们探索了PSF,停留时间和系统发育新奇之间的关系。用于幼苗建立而不是用于生物量的PSF是入侵状态的重要预测指标,入侵物种的PSF阳性率要高于非入侵物种。但是,它的解释力远低于特定的叶面积,高度和停留时间。在系统发生学上,新物种经历的PSF负性要少于天然同源物种,这表明它们从敌人释放中受益更多。与入侵物种相反,非入侵物种的PSF随着停留时间的增加而变得越来越负。我们证明,用于幼苗建立的PSF在预测植物入侵性方面发挥作用,并且比对植物生物量进行更广泛研究的PSF更好。然而,其他物种性状,例如特定的叶面积,则比PSF更好地预测了植物的入侵性。远低于特定的叶面积,高度和停留时间。在系统发生学上,新物种经历的PSF负性要少于天然同源物种,这表明它们从敌人释放中受益更多。与入侵物种相反,非入侵物种的PSF随着停留时间的增加而变得越来越负。我们证明,用于幼苗建立的PSF在预测植物入侵性方面发挥作用,并且比对植物生物量进行更广泛研究的PSF更好。然而,其他物种性状,例如特定的叶面积,则比PSF更好地预测了植物的入侵性。远低于特定的叶面积,高度和停留时间。在系统发生学上,新物种经历的PSF负性要少于天然同源物种,这表明它们从敌人释放中受益更多。与入侵物种相反,非入侵物种的PSF随着停留时间的增加而变得越来越负。我们证明,用于幼苗建立的PSF在预测植物入侵性方面发挥作用,并且比对植物生物量进行更广泛研究的PSF更好。但是,其他物种性状,例如特定的叶面积,则比PSF更好地预测了植物的入侵性。与入侵物种相反,随着停留时间的增加,它变得越来越不利。我们证明,用于幼苗建立的PSF在预测植物入侵性方面发挥作用,并且比对植物生物量进行更广泛研究的PSF更好。但是,其他物种性状,例如特定的叶面积,则比PSF更好地预测了植物的入侵性。与入侵物种相反,随着停留时间的增加,它变得越来越不利。我们证明,用于幼苗建立的PSF在预测植物入侵性方面发挥作用,并且比对植物生物量进行更广泛研究的PSF更好。然而,其他物种性状,例如特定的叶面积,则比PSF更好地预测了植物的入侵性。
更新日期:2020-05-18
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