Department of Biology, Federal University of Lavras, Brazil.
Ecol Lett. 2018 Aug;21(8):1237-1243. doi: 10.1111/ele.13096. Epub 2018 Jun 6.
For decades, food web theory has proposed phenomenological models for the underlying structure of ecological networks. Generally, these models rely on latent niche variables that match the feeding behaviour of consumers with their resource traits. In this paper, we used a comprehensive database to evaluate different hypotheses on the best dependency structure of trait-matching patterns between consumers and resource traits. We found that consumer feeding behaviours had complex interactions with resource traits; however, few dimensions (i.e. latent variables) could reproduce the trait-matching patterns. We discuss our findings in the light of three food web models designed to reproduce the multidimensionality of food web data; additionally, we discuss how using species traits clarify food webs beyond species pairwise interactions and enable studies to infer ecological generality at larger scales, despite potential taxonomic differences, variations in ecological conditions and differences in species abundance between communities.
几十年来,食物网理论提出了生态网络底层结构的现象学模型。通常,这些模型依赖于潜在的生态位变量,这些变量将消费者的觅食行为与其资源特征相匹配。在本文中,我们使用一个综合数据库来评估关于消费者和资源特征之间最佳特征匹配模式的依存结构的不同假设。我们发现,消费者的觅食行为与资源特征之间存在复杂的相互作用;然而,很少有维度(即潜在变量)可以再现特征匹配模式。我们根据三个旨在再现食物网多维性的食物网模型来讨论我们的发现;此外,我们还讨论了如何使用物种特征来澄清超越物种两两相互作用的食物网,并使研究能够推断更大尺度上的生态普遍性,尽管存在潜在的分类学差异、生态条件的变化以及不同群落中物种丰度的差异。