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Effects of different dispersal patterns on the presence-absence of multiple species

机译:不同分散方式对多种生物存在的影响

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Predicting which species will be present (or absent) across a geographical region remains one of the key problems in ecology. Numerous studies have suggested several ecological factors that can determine species presence-absence: environmental factors (i.e. abiotic environments), interactions among species (i.e. biotic interactions) and dispersal process. While various ecological factors have been considered, less attention has been given to the problem of understanding how different dispersal patterns, in interaction with other factors, shape community assembly in the presence of priority effects (i.e. where relative initial abundances determine the long-term presence-absence of each species). By employing both local and non-local dispersal models, we investigate the consequences of different dispersal patterns on the occurrence of priority effects and coexistence in multi-species communities. In the case of non-local, but short-range dispersal, we observe agreement with the predictions of local models for weak and medium dispersal strength, but disagreement for relatively strong dispersal levels. Our analysis shows the existence of a threshold value in dispersal strength (i.e. saddle-node bifurcation) above which priority effects disappear. These results also reveal a co-dimension 2 point, corresponding to a degenerate transcritical bifurcation: at this point, the transcritical bifurcation changes from subcritical to supercritical with corresponding creation of a saddle-node bifurcation curve. We observe further contrasting effects of non-local dispersal as dispersal distance changes: while very long-range dispersal can lead to species extinctions, intermediate-range dispersal can permit more outcomes with multi-species coexistence than short-range dispersal (or purely local dispersal). Overall, our results show that priority effects are more pronounced in the non-local dispersal models than in the local dispersal models. Taken together, our findings highlight the profound delicacy in the mediation of priority effects by dispersal processes: "big steps" can have more influence than many "small steps". (C) 2017 Elsevier B.V. All rights reserved.
机译:预测地理区域中将存在(或不存在)哪些物种仍然是生态学中的关键问题之一。大量研究提出了几种可以决定物种是否存在的生态因素:环境因素(即非生物环境),物种之间的相互作用(即生物相互作用)和扩散过程。尽管已经考虑了各种生态因素,但对以下问题的关注较少,即了解不同的分散模式与其他因素的相互作用如何在存在优先效应的情况下塑造群落集聚(即,相对初始丰度决定了长期存在) -每个物种的缺失)。通过采用本地和非本地分散模型,我们研究了不同分散模式对多物种社区优先效应和共存发生的影响。在非局部但短程分散的情况下,我们观察到与局部模型对弱和中等分散强度的预测一致,但对于相对较强的分散水平却不一致。我们的分析表明,存在分散强度的阈值(即鞍节点分叉),在该阈值之上优先级效应消失了。这些结果还揭示了一个维数为2的点,对应于简并的跨临界分叉:在这一点上,跨临界分叉从亚临界变为超临界,并相应地创建了鞍节点分叉曲线。我们观察到随着散布距离的变化,非局部散布的进一步对比效应:虽然很远距离散布会导致物种灭绝,但与短距离散布(或纯局部散布)相比,中程散布与多物种共存可以提供更多结果)。总体而言,我们的结果表明,在非局部分散模型中,优先效应比在局部分散模型中更为明显。综上所述,我们的发现凸显了通过分散过程来调解优先效应的深奥技巧:“大步骤”比许多“小步骤”具有更大的影响力。 (C)2017 Elsevier B.V.保留所有权利。

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