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The joint influence of competition and mutualism on the biodiversity of mutualistic ecosystems

机译:竞争与共生对共同生态系统生物多样性的共同影响

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In the past years, there have been many advances –but also many debates– around mutualistic communities, whose structural features appear to facilitate mutually beneficial interactions and increase biodiversity, under some given population dynamics. However, most approaches neglect the structure of inter-species competition by adopting a mean-field perspective that does not deal with competitive interactions properly. Here, we build up a multilayer network that naturally accounts for mutualism and competition and show, through a dynamical population model and numerical simulations, that there is an intricate relation between competition and mutualism. Specifically, the multilayer structure is coupled to a dynamical model in which the intra-guild competitive terms are weighted by the abundance of shared mutualistic relations. We find that mutualism does not have the same consequences on the evolution of specialist and generalist species, and that there is a non-trivial profile of biodiversity in the parameter space of competition and mutualism. Our findings emphasize how the simultaneous consideration of positive and negative interactions derived from the real networks is key to understand the delicate trade-off between topology and biodiversity in ecosystems and call for the need to incorporate more realistic interaction patterns when modeling the structural and dynamical stability of mutualistic systems.
机译:在过去的几年中,围绕互惠互助的社区取得了许多进展,但也引起了许多辩论,在某些给定的人口动态下,互惠社区的结构特征似乎促进了互利互惠的互动并增加了生物多样性。但是,大多数方法通过采用均值场的观点而忽略了种间竞争的结构,这种观点不能正确处理竞争性相互作用。在这里,我们建立了一个多层网络,自然地解决了互助与竞争问题,并通过动态种群模型和数值模拟证明了竞争与互惠关系之间存在着复杂的关系。具体而言,多层结构与动力学模型耦合,在该动力学模型中,行内竞争条款通过共享的相互关系的丰富性来加权。我们发现,共生对专业和通才物种的进化不会产生相同的影响,并且在竞争和共生的参数空间中,生物多样性具有非平凡的分布。我们的发现强调如何同时考虑从真实网络中产生的正向和负向相互作用是理解生态系统中拓扑与生物多样性之间微妙权衡的关键,并呼吁在对结构和动态稳定性进行建模时需要纳入更现实的相互作用模式互惠系统。

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