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arXiv 1002.0470q-bio.PE
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复杂食物网上的种群动力学

Population Dynamics on Complex Food Webs

Gian Marco Palamara, Vinko Zlatic, Antonio Scala, Guido Caldarelli

摘要:

在这项工作中,我们分析了复杂的食物网,即生态位模型的一个简单的模型的拓扑和动力学性质。为了强调物种之间的竞争,我们引入了“猎物”和“捕食者”的加权重叠图来自生态位模型和比较合成的食物网与真实的数据。这样做,我们找到了新的测试的合成食物网〈动〉<动>模型的善良,并指出现有的可能的改进方向。然后,我们利用加权重叠图定义了Lotka-Volterra种群动力学的竞争核,并发现对于这样的模型,食物网的稳定性随着生态系统的复杂性而降低.

英文摘要:

In this work we analyse the topological and dynamical properties of a simple model of complex food webs, namely the niche model. In order to underline competition among species, we introduce "prey" and "predators" weighted overlap graphs derived from the niche model and compare synthetic food webs with real data. Doing so, we find new tests for the goodness of synthetic food web models and indicate a possible direction of improvement for existing ones. We then exploit the weighted overlap graphs to define a competition kernel for Lotka-Volterra population dynamics and find that for such a model the stability of food webs decreases with its ecological complexity.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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