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Topological properties of food webs: from real data to community assembly models

机译:食物网的拓扑特性:从真实数据到社区组装模型

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We explore patterns of trophic connections between species in the largest and highest-quality empirical food webs to date, introducing a new topological property called the link distribution frequency (i.e. degree distribution), defined as the frequency of species S-L with L links. Non-trivial differences are shown in link distribution frequencies between species-rich and species-poor communities, which might have important consequences for the responses of ecosystems to disturbances. Coarse-grained topological properties observed, as species richness-connectance and number of links-species richness relationships, provide no support for the theory of links-species scaling law or constant connectance across empirical food webs investigated. We further explore these observations by means of simulated food webs resulting from multitrophic assembly models using different functional responses between species. Species richness-connectance and links-species richness relationships of empirical food webs are reproduced by our models, but degree distributions are not properly predicted, suggesting the need of new theoretical approximations to food web assembly. The best agreement between empirical and simulated webs occurs for low values of interaction strength between species, corroborating previous empirical and theoretical findings where weak interactions govern food web dynamics.
机译:我们探索了迄今为止最大和最高质量的经验食物网中物种之间的营养联系方式,引入了一种新的拓扑特性,称为链接分布频率(即度分布),定义为具有L个链接的物种S-L的频率。在物种丰富的社区和物种贫乏的社区之间的链路分布频率中显示出非同小可的差异,这可能对生态系统对干扰的响应产生重要影响。观察到的粗粒度拓扑特性,即物种丰富度-连通性和链接数-物种-丰富度关系的数量,对所研究的经验食物网中的链接-物种比例定律或恒定连接性理论不提供任何支持。我们通过利用多种物种之间不同功能响应的多营养装配模型产生的模拟食物网进一步探索这些观察。我们的模型再现了经验食物网的物种丰富度-联系度和链接-物种丰富度关系,但是没有正确预测度数分布,这表明需要对食物网的装配建立新的理论近似。经验网和模拟网之间的最佳一致性是由于物种之间的相互作用强度较低而产生的,这证实了以前的经验和理论发现,其中弱相互作用控制着食物网的动力学。

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