Group size and labour demands determine division of labour as a consequence of demographic stochasticity.

IF 4.7 2区 生物学 Q1 BIOLOGY
Christoph Netz, Tim W Fawcett, Andrew D Higginson, Michael Taborsky, Barbara Taborsky
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Abstract

Division of labour (DoL) is most prominently observed in eusocial insects but also occurs in much smaller cooperative groups where all individuals could potentially perform any task. In such groups, previous experience and learning are the most important mechanisms underlying specialization. Using behavioural simulations, we investigate the dynamics of task specialization in groups of various sizes and with different constraints on the choice of task. We assume that individuals choose tasks by weighing their own competence to perform a task against the group requirement of how much that task needs to be performed. We find that task specialization occurs even if individuals choose tasks based solely on the group's needs rather than their own competence. As large groups are less affected by demographic stochasticity, they can more accurately distribute labour across tasks, and individuals become more effective due to a reduced need to switch between tasks. This effect is enhanced if groups must perform a larger number of tasks. However, from an evolutionary point of view, individuals in larger groups develop a greater responsiveness to group requirements than those in small groups when labour variation carries a fitness penalty and thus will more readily switch between tasks. Small groups thus seem less able to distribute labour optimally over tasks through increased switching, and therefore evolve to ignore task imbalances up to a higher level before the threshold to switch between tasks is crossed. Further, we find that selection on learning ability is stronger in small than in large groups. We conclude that the reason why DoL may emerge more readily in large groups might not be due to a group-size effect on optimal decision-making, but rather because of a lower degree of variation of the labour distribution as a consequence of demographic stochasticity.This article is part of the theme issue 'Division of labour as key driver of social evolution'.

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由于人口统计学的随机性,群体规模和劳动需求决定了劳动分工。
劳动分工(DoL)在群居昆虫中最为显著,但也发生在更小的合作群体中,所有个体都有可能完成任何任务。在这样的群体中,以往的经验和学习是专业化背后最重要的机制。使用行为模拟,我们研究了在不同规模和不同任务选择约束的群体中任务专业化的动态。我们假设个人选择任务是通过权衡他们自己执行任务的能力和团队对该任务需要执行多少的要求。我们发现,即使个人仅仅根据群体的需求而不是自己的能力来选择任务,任务专业化也会发生。由于大群体受人口随机性的影响较小,他们可以更准确地将劳动力分配到不同的任务上,而且由于减少了在不同任务之间切换的需要,个人也变得更有效率。如果组必须执行更多的任务,则这种效果会增强。然而,从进化的角度来看,当劳动差异带来适应性损失时,大群体中的个体比小群体中的个体对群体需求的反应更强,因此更容易在不同的任务之间切换。因此,通过增加切换,小群体似乎不太能够在任务之间最佳地分配劳动力,因此在跨越任务之间切换的阈值之前,进化到忽略任务不平衡的更高水平。此外,我们发现学习能力的选择在小群体中比在大群体中更强。我们的结论是,DoL在大群体中更容易出现的原因可能不是由于群体规模对最佳决策的影响,而是由于人口统计学随机性导致的劳动力分布的变化程度较低。本文是“劳动分工是社会进化的关键驱动力”主题的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
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