为了在自然环境中有效地觅食,生物体必须在多个时间尺度上适应食物来源的质量和产量的变化。集体觅食的个人根据他们的私人观察和邻居的意见行事。这些信息源如何在不断变化的环境中相互作用?我们在蜜蜂群落的背景下解决了这个问题,蜜蜂群落的抑制性社会相互作用促进了有效觅食所需的适应性和共识。在集体决策的数学模型中,个人和社会的相互作用决定了从具有时间转换质量的饲养者觅食的群体的营养产量。如果时间切换快或喂食器质量低,则社交互动可改善单个喂食器的觅食。当菌落从多个饲养者中选择时,社交互动最有益的形式是直接转换,由此,蜜蜂翻转了在低产量的饲养者处觅食的巢穴的观点。模型线性化表明,有效的社会互动增加了正确饲养者的菌落比例(共识)和蜜蜂到达该饲养者的速度(适应性)。我们的数学框架允许我们比较一套社会抑制机制,提出了在动态环境中揭示有效菌落觅食策略的实验方案。
To effectively forage in natural environments, organisms must adapt to changes in the quality and yield of food sources across multiple timescales. Individuals
foraging in groups act based on both their private observations and the opinions of their neighbours. How do these information sources interact in changing environments? We address this problem in the context of honeybee colonies whose inhibitory social interactions promote adaptivity and
consensus needed for effective
foraging. Individual and social interactions within a mathematical model of collective decisions shape the nutrition yield of a group foraging from feeders with temporally switching quality. Social interactions improve
foraging from a single feeder if temporal switching is fast or feeder quality is low. When the colony chooses from multiple feeders, the most beneficial form of social interaction is direct switching, whereby bees flip the opinion of nest-mates foraging at lower-yielding feeders. Model linearization shows that effective social interactions increase the fraction of the colony at the correct feeder (
consensus) and the rate at which bees reach that feeder (adaptivity). Our mathematical framework allows us to compare a suite of social inhibition mechanisms, suggesting experimental protocols for revealing effective colony foraging strategies in dynamic environments.