A particle model reproducing the effect of a conflicting flight information on the honeybee swarm guidance

Sara Bernardi, A. Colombi
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引用次数: 2

Abstract

Abstract The honeybee swarming process is steered by few scout individuals, which are the unique informed on the location of the target destination. Theoretical and experimental results suggest that bee coordinated flight arises from visual signals. However, how the information is passed within the population is still debated. Moreover, it has been observed that honeybees are highly sensitive to conflicting directional information. In fact, swarms exposed to fast-moving bees headed in the wrong direction show clear signs of disrupted guidance. In this respect, we here present a discrete mathematical model to investigate different hypotheses on the behaviour both of informed and uninformed bees. In this perspective, numerical realizations, specifically designed to mimic selected experiments, reveal that only one combination of the considered assumptions is able to reproduce the empirical outcomes, resulting thereby the most reliable mechanism underlying the swarm dynamics according to the proposed approach. Specifically, this study suggests that (i) leaders indicate the right flight direction by repeatedly streaking at high speed pointing towards the target and then slowly coming back to the trailing edge of the bee cloud; and (ii) uninformed bees, in turn, gather the route information by adapting their movement to all the bees sufficiently close to their position.
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一个粒子模型再现了飞行信息冲突对蜂群制导的影响
摘要蜜蜂群集的过程是由少数侦察个体控制的,这些侦察个体是了解目标目的地位置的唯一个体。理论和实验结果表明,蜜蜂协调飞行是由视觉信号引起的。然而,如何在人群中传递信息仍存在争议。此外,据观察,蜜蜂对相互矛盾的方向信息非常敏感。事实上,暴露在朝着错误方向快速移动的蜜蜂面前的蜂群显示出明显的引导中断迹象。在这方面,我们提出了一个离散的数学模型来研究关于知情和不知情蜜蜂行为的不同假设。从这个角度来看,专门为模拟选定实验而设计的数值实现表明,只有一个所考虑的假设组合能够再现经验结果,从而根据所提出的方法,产生了最可靠的群体动力学机制。具体而言,这项研究表明:(i)领导者通过反复高速朝着目标裸奔,然后慢慢回到蜜蜂云的后缘,来指示正确的飞行方向;以及(ii)不知情的蜜蜂反过来通过使它们的运动适应足够靠近它们位置的所有蜜蜂来收集路线信息。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
3
审稿时长
16 weeks
期刊介绍: Communications in Applied and Industrial Mathematics (CAIM) is one of the official journals of the Italian Society for Applied and Industrial Mathematics (SIMAI). Providing immediate open access to original, unpublished high quality contributions, CAIM is devoted to timely report on ongoing original research work, new interdisciplinary subjects, and new developments. The journal focuses on the applications of mathematics to the solution of problems in industry, technology, environment, cultural heritage, and natural sciences, with a special emphasis on new and interesting mathematical ideas relevant to these fields of application . Encouraging novel cross-disciplinary approaches to mathematical research, CAIM aims to provide an ideal platform for scientists who cooperate in different fields including pure and applied mathematics, computer science, engineering, physics, chemistry, biology, medicine and to link scientist with professionals active in industry, research centres, academia or in the public sector. Coverage includes research articles describing new analytical or numerical methods, descriptions of modelling approaches, simulations for more accurate predictions or experimental observations of complex phenomena, verification/validation of numerical and experimental methods; invited or submitted reviews and perspectives concerning mathematical techniques in relation to applications, and and fields in which new problems have arisen for which mathematical models and techniques are not yet available.
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