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The probabilistic niche model reveals substantial variation in the niche structure of empirical food webs

机译:概率生态位模型揭示了经验食物网的生态位结构的巨大变化

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The structure of food webs, complex networks of interspecies feeding interactions, plays a crucial role in ecosystem resilience and function, and understanding food web structure remains a central problem in ecology. Previous studies have shown that key features of empirical food webs can be reproduced by low-dimensional ''niche'' models. Here we examine the form and variability of food web niche structure by fitting a probabilistic niche model to 37 empirical food webs, a much larger number of food webs than used in previous studies. The model relaxes previous assumptions about parameter distributions and hierarchy and returns parameter estimates for each species in each web. The model significantly outperforms previous niche model variants and also performs well for several webs where a body-size-based niche model performs poorly, implying that traits other than body size are important in structuring these webs' niche space. Parameter estimates frequently violate previous models' assumptions: in 19 of 37 webs, parameter values are not significantly hierarchical, 32 of 37 webs have nonuniform niche value distributions, and 15 of 37 webs lack a correlation between niche width and niche position. Extending the model to a twodimensional niche space yields networks with a mixture of one- and two-dimensional niches and provides a significantly better fit for webs with a large number of species and links. These results confirm that food webs are strongly niche-structured but reveal substantial variation in the form of the niche structuring, a result with fundamental implications for ecosystem resilience and function.
机译:食物网的结构,种间相互作用的复杂网络在生态系统的复原力和功能中起着至关重要的作用,而了解食物网的结构仍然是生态学中的核心问题。先前的研究表明,经验食物网的关键特征可以通过低维“利基”模型来再现。在这里,我们通过将概率生态位模型拟合到37个经验食物网来检验食物网生态位结构的形式和变异性,这比以前的研究中使用的食物网数量大得多。该模型放宽了有关参数分布和层次结构的先前假设,并返回了每个网络中每个物种的参数估计值。该模型明显优于以前的利基模型变体,并且在基于人体尺寸的利基模型性能较差的几个网中也表现良好,这意味着除体型以外的其他特征对于构建这些网的利基空间很重要。参数估计经常违反先前模型的假设:在37个网中的19个中,参数值不是显着分层的,37个网中的32个具有不均匀的利基值分布,而37个网中的15个在利基宽度和利基位置之间缺乏相关性。将模型扩展到二维生态位空间,可以生成一维和二维生态位混合的网络,并为具有大量种类和链接的网络提供了明显更好的拟合。这些结果证实了食物网具有很强的生态位结构,但揭示了生态位结构形式的实质性变化,这一结果对生态系统的复原力和功能具有根本意义。

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