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Shading and litter mediate the effects of soil fertility on the performance of an understorey herb

机译:遮荫和凋落物调节土壤肥力对下层草本植物性能的影响

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摘要

>Background and Aims Soil fertility and topographic microclimate are common determinants of plant species distributions. However, biotic conditions also vary along these abiotic gradients, and may mediate their effects on plants. In this study, we investigated whether soils and topographic microclimate acted directly on the performance of a focal understorey plant, or indirectly via changing biotic conditions.>Methods We examined direct and indirect relationships between abiotic variables (soil fertility and topographic microclimate) and biotic factors (overstorey and understorey cover, litter depth and mycorrhizal colonization) and the occurrence, density and flowering of a common understorey herb, Trientalis latifolia, in the Klamath-Siskiyou Mountains, Oregon, USA.>Results We found that the positive effects of soil fertility on Trientalis occurrence were mediated by greater overstorey shading and deeper litter. However, we did not find any effects of topographic microclimate on Trientalis distribution that were mediated by the biotic variables we measured. The predictive success of Trientalis species distribution models with soils and topographic microclimate increased by 12 % with the addition of the biotic variables.>Conclusions Our results reinforce the idea that species distributions are the outcome of interrelated abiotic gradients and biotic interactions, and suggest that biotic conditions, such as overstorey density, should be included in species distribution models if data are available.
机译:>背景和目标土壤肥力和地形微气候是决定植物种类分布的常见因素。但是,生物条件也会沿着这些非生物梯度变化,并可能介导其对植物的影响。在这项研究中,我们调查了土壤和地形微气候是直接作用于局地下层植物的性能,还是通过改变生物条件间接作用。>方法我们研究了非生物变量(土壤肥力和土壤水分)之间的直接和间接关系。地形微气候)和生物因子(地上和下层覆盖,凋落物深度和菌根定植)以及常见的下层草本植物Trientalis latifolia在美国俄勒冈州克拉马斯-斯基斯基尤山的发生,密度和开花。>结果< / strong>我们发现,土壤肥力对Trientalis的积极影响是由较高的遮荫和较深的垫料介导的。但是,我们没有发现地形微气候对Trientalis分布的任何影响,这些影响是由我们测量的生物变量介导的。通过添加生物变量,具有土壤和地形微气候的Trientalis物种分布模型的预测成功率提高了12%。>结论。我们的结果强化了以下观点:物种分布是非生物梯度和生物相关的结果相互作用,并建议应在物种分布模型中包括生物条件,例如过高的密度。

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