Department of Geosciences and Geography, University of Helsinki, FI-00014 Helsinki, Finland.
Ecology. 2013 Mar;94(3):671-82. doi: 10.1890/12-1482.1.
Studies of species range determinants have traditionally focused on abiotic variables (typically climatic conditions), and therefore the recent explicit consideration of biotic interactions represents an important advance in the field. While these studies clearly support the role of biotic interactions in shaping species distributions, most examine only the influence of a single species and/or a single interaction, failing to account for species being subject to multiple concurrent interactions. By fitting species distribution models (SDMs), we examine the influence of multiple vertical (i.e., grazing, trampling, and manuring by mammalian herbivores) and horizontal (i.e., competition and facilitation; estimated from the cover of dominant plant species) interspecific interactions on the occurrence and cover of 41 alpine tundra plant species. Adding plant-plant interactions to baseline SDMs (using five field-quantified abiotic variables) significantly improved models' predictive power for independent data, while herbivore-related variables had only a weak influence. Overall, abiotic variables had the strongest individual contributions to the distribution of alpine tundra plants, with the importance of horizontal interaction variables exceeding that of vertical interaction variables. These results were consistent across three modeling techniques, for both species occurrence and cover, demonstrating the pattern to be robust. Thus, the explicit consideration of multiple biotic interactions reveals that plant-plant interactions exert control over the fine-scale distribution of vascular species that is comparable to abiotic drivers and considerably stronger than herbivores in this low-energy system.
传统上,物种分布范围决定因素的研究主要集中在非生物变量(通常是气候条件)上,因此最近对生物相互作用的明确考虑是该领域的一个重要进展。虽然这些研究清楚地支持生物相互作用在塑造物种分布方面的作用,但大多数研究只考察了单一物种和/或单一相互作用的影响,而没有考虑到物种受到多种同时发生的相互作用的影响。通过拟合物种分布模型(SDMs),我们研究了多种垂直(即食草动物的放牧、践踏和施肥)和水平(即竞争和促进;根据优势植物物种的盖度估计)种间相互作用对 41 种高山冻原植物物种出现和盖度的影响。将植物-植物相互作用添加到基本 SDM(使用五个现场量化的非生物变量)中,显著提高了模型对独立数据的预测能力,而与食草动物相关的变量只有微弱的影响。总的来说,非生物变量对高山冻原植物分布的个体贡献最强,水平相互作用变量的重要性超过垂直相互作用变量。这一结果在三种建模技术中均具有一致性,无论是物种出现还是覆盖,都证明了这种模式是稳健的。因此,对多种生物相互作用的明确考虑表明,植物-植物相互作用对维管束物种的细尺度分布具有控制作用,这种作用与非生物驱动因素相当,在这个低能量系统中比食草动物的作用要强得多。