石头剪刀布模型中的移动不均匀性

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY
J. Menezes , S. Rodrigues , S. Batista
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引用次数: 2

摘要

我们研究了一个三营养系统,其循环优势是由石头剪刀布游戏模型。我们认为一个或两个物种的生物受到运动限制的影响,这使循环空间博弈不平衡。通过随机模拟,我们发现流动性不均匀控制着种群动态。在一个缓慢物种的情况下,优势物种取决于流动性限制的水平,如果流动性限制很大,则缓慢物种占优势。如果两个物种面临流动性限制,我们的研究结果表明,就种群增长而言,更高的分散性并不构成优势。相反,如果生物以更高的机动性移动,它们就会更频繁地暴露在敌人面前,更容易被消灭。最后,我们的研究结果表明,在物种减少的地区,生物多样性受益。对于循环系统中常见的高流动性生物来说,生物多样性的丧失是可以避免的,在强大的流动性限制下,共存概率更高。我们的研究结果可能有助于生物学家理解不平衡空间系统的动力学,其中生物的扩散是生物多样性保护的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobility unevenness in rock–paper–scissors models

We investigate a tritrophic system whose cyclic dominance is modelled by the rock–paper–scissors game. We consider that organisms of one or two species are affected by movement limitations, which unbalances the cyclic spatial game. Performing stochastic simulations, we show that mobility unevenness controls the population dynamics. In the case of one slow species, the predominant species depends on the level of mobility restriction, with the slow species being preponderant if the mobility limitations are substantial. If two species face mobility limitations, our outcomes show that being higher dispersive does not constitute an advantage in terms of population growth. On the contrary, if organisms move with higher mobility, they expose themselves to enemies more frequently, being more vulnerable to being eliminated. Finally, our findings show that biodiversity benefits in regions where species are slowed. Biodiversity loss for high mobility organisms, common to cyclic systems, may be avoided with coexistence probability being higher for robust mobility limitations. Our results may help biologists understand the dynamics of unbalanced spatial systems where organisms’ dispersal is fundamental to biodiversity conservation.

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来源期刊
Ecological Complexity
Ecological Complexity 环境科学-生态学
CiteScore
7.10
自引率
0.00%
发文量
24
审稿时长
3 months
期刊介绍: Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales. Ecological Complexity will publish research into the following areas: • All aspects of biocomplexity in the environment and theoretical ecology • Ecosystems and biospheres as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Complex systems approaches for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexity
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