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Biotic interactions drive species occurrence and richness in dynamic beach environments

机译:生物相互作用推动了动态海滩环境中物种的发生和丰富

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Biotic interactions are predicted to have the strongest influence on species assemblages in extreme environments. We therefore test the hypothesis that in abiotically-severe beaches plant-plant interactions, specifically facilitation, are important relative to abiotic conditions. This hypothesis is tested by assessing the influence of dominant vascular plant species on the fine-scale occurrence and richness of vascular and cryptogam species using a unique dataset of boreal beaches along the Finnish Baltic Sea, characterized by strong post-glacial land uplift and large environmental gradients. We studied three different levels of vegetation patterns across a broad geographical scale; individual species, functional groups and the entire community. Results showed that dominant vascular species strongly drive species occurrence and richness in dynamic beach environments, with some species having an influence similar to that of key abiotic variables. In contrast to expectations, facilitative effects did not dominate in these harsh environments. Instead, the outcomes of biotic interactions were species-specific, and also differed between vascular and cryptogam species, with the former group most strongly influenced by a pioneer species and the latter by a late succession generalist. Our study highlights the importance of incorporating biotic interaction effects into models of multiple vegetation properties and cautions against overly simplistic generalizations to describe relatively idiosyncratic interaction effects.
机译:预计在极端环境下,生物相互作用对物种集合的影响最大。因此,我们检验了以下假设:在非生物严重的海滩上,植物与植物之间的相互作用(特别是促进作用)相对于非生物条件而言很重要。通过使用芬兰波罗的海沿岸独特海滩数据集评估优势维管植物物种对维管物种和隐藻物种的精细规模发生和丰富度的影响,验证了这一假设,其特征是强烈的冰川后土地隆升和大环境渐变。我们在广泛的地理范围内研究了三种不同水平的植被格局。单个物种,功能群体和整个社区。结果表明,优势脉管物种强烈地驱动着动态海滩环境中物种的发生和富集,其中某些物种的影响与关键非生物变量相似。与预期相反,在这些恶劣的环境中,促进作用并没有占主导地位。取而代之的是,生物相互作用的结果是特定于物种的,并且在血管物种和隐藻物种之间也有所不同,前者受到先驱物种的影响最大,而后者则受后期继承通才的影响最大。我们的研究突出了将生物相互作用效应纳入多种植被特性模型的重要性,并警告不要过于简单地概括性描述相对特质的相互作用效应。

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