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A new dimension: Evolutionary food web dynamics in two dimensional trait space.

机译:一个新的维度:二维特征空间中的进化食物网动态。

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摘要

Species within a habitat are not uniformly distributed. However this aspect of community structure, which is fundamental to many conservation activities, is neglected in the majority of models of food web assembly. To address this issue, we introduce a model which incorporates a second dimension, which can be interpreted as space, into the trait space used in evolutionary food web models. Our results show that the additional trait axis allows the emergence of communities with a much greater range of network structures, similar to the diversity observed in real ecological communities. Moreover, the network properties of the food webs obtained are in good agreement with those of empirical food webs. Community emergence follows a consistent pattern with spread along the second trait axis occurring before the assembly of higher trophic levels. Communities can reach either a static final structure, or constantly evolve. We observe that the relative importance of competition and predation is a key determinant of the network structure and the evolutionary dynamics. The latter are driven by the interaction-competition and predation-between small groups of species. The model remains sufficiently simple that we are able to identify the factors, and mechanisms, which determine the final community state.
机译:栖息地内的物种分布不均。但是,社区结构的这一方面是许多保护活动的基础,但在大多数食物网装配模型中却被忽略了。为了解决这个问题,我们引入了一个模型,该模型将第二个维度(可以解释为空间)整合到进化食物网模型所使用的特征空间中。我们的结果表明,附加的特征轴可以使具有更大范围网络结构的社区出现,类似于在实际生态社区中观察到的多样性。而且,所获得的食物网的网络性质与经验食物网的网络性质非常一致。群落出现遵循一致的模式,沿着第二性状轴传播,发生在较高营养级别的装配之前。社区可以达到静态的最终结构,也可以不断发展。我们观察到竞争和掠夺的相对重要性是网络结构和进化动力学的关键决定因素。后者是由一小群物种之间的相互作用,竞争和捕食驱动的。该模型保持足够简单,因此我们能够确定决定最终社区状态的因素和机制。

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