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arXiv 2301.01729q-bio.PEnlin.AOnlin.PSphysics.bio-phphysics.data-an
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石头-剪刀-布模型中死亡风险下生物的局部自适应聚集

Locally adaptive aggregation of organisms under death risk in rock-paper-scissors models

J. Menezes, E. Rangel

AI总结:

本研究通过空间版石头-剪刀-布博弈随机模拟,发现生物局部自适应聚集行为在对手密度≤30%时可降低死亡风险、提升共存概率以促进生物多样性,且结论在多物种复杂系统中成立。

摘要:

我们对空间版石头-剪刀-布博弈开展了随机模拟,假设个体利用感知能力扫描环境以侦测天敌存在。若局部危险度水平超过可耐受阈值,个体便会聚集而非在晶格上随机移动。我们通过测量单一物种生物占据的空间域的特征长度尺度,研究了局部自适应聚集对生物空间组织的影响。结果表明,当对手局部密度不超过30%时触发聚集是有利的;否则该行为策略可能因提升平均死亡风险而对个体造成危害。我们发现,若生物能感知更远的距离,便可精准扫描并解读来自邻域的信号,从而最大化局部自适应聚集对死亡风险的调控效果。最后,我们证实局部自适应聚集行为可促进生物多样性,且与生物的移动性无关。即便仅存在少量天敌,生物加入同种个体的行为也会提升共存概率。通过模拟含5个和7个物种的广义石头-剪刀-布模型,我们验证了上述结论在更复杂系统中同样成立。这些发现或有助于生态学家理解生物的自卫行为可适应当地环境线索的生态系统。

英文摘要:

We run stochastic simulations of the spatial version of the rock-paper-scissors game, considering that individuals use sensory abilities to scan the environment to detect the presence of enemies. If the local dangerousness level is above a tolerable threshold, individuals aggregate instead of moving randomly on the lattice. We study the impact of the locally adaptive aggregation on the organisms' spatial organisation by measuring the characteristic length scale of the spatial domains occupied by organisms of a single species. Our results reveal that aggregation is beneficial if triggered when the local density of opponents does not exceed $30\%$; otherwise, the behavioural strategy may harm individuals by increasing the average death risk. We show that if organisms can perceive further distances, they can accurately scan and interpret the signals from the neighbourhood, maximising the effects of the locally adaptive aggregation on the death risk. Finally, we show that the locally adaptive aggregation behaviour promotes biodiversity independently of the organism's mobility. The coexistence probability rises if organisms join conspecifics, even in the presence of a small number of enemies. We verify that our conclusions hold for more complex systems by simulating the generalised rock-paper-scissors models with five and seven species. Our discoveries may be helpful to ecologists in understanding systems where organisms' self-defence behaviour adapts to local environmental cues.

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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