Spatial organization and interactions of harvester ants during foraging activity
Spatial organization and interactions of harvester ants during foraging activity
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DOI：
10.1098/rsif.2017.0413
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发表时间：
2017-10-01
影响因子：
3.9
通讯作者：
Gordon, Deborah M.
中科院分区：
文献类型：
--
作者：
Davidson, Jacob D.;Gordon, Deborah M.
当个人见面时，当地的互动可以规范集体行为。在没有任何中央控制的系统中，交互速率可能简单地取决于个人如何移动。但互动反过来又会影响运动;个体可能会寻求互动，或者他们对互动的反应会影响进一步的互动率。我们开发了一个通用的框架来解决这些问题，使用碰撞理论建立一个基线预期的相互作用的基础上接近的速度。我们使用采集蚁群的数据来测试模型。蚁群利用巢内相互作用的反馈来调节觅食活动。潜在的觅食者离开巢穴是为了回应与带着食物返回的觅食者的互动。蚂蚁的相互作用和局部密度的时间序列显示了密度热点如何导致在时间上聚集的相互作用。一个相关的随机游走零模型描述了潜在的和返回的觅食者的混合。碰撞理论的一个模型将行走速度和空间接近度与相互作用的概率联系起来。结果表明，虽然蚂蚁不均匀混合，互动模式的趋势可以简单地解释周围蚂蚁的步行速度和局部密度。
Local interactions, when individuals meet, can regulate collective behaviour. In a system without any central control, the rate of interaction may depend simply on how the individuals move around. But interactions could in turn influence movement; individuals might seek out interactions, or their movement in response to interaction could influence further interaction rates. We develop a general framework to address these questions, using collision theory to establish a baseline expected rate of interaction based on proximity. We test the models using data from harvester ant colonies. A colony uses feedback from interactions inside the nest to regulate foraging activity. Potential foragers leave the nest in response to interactions with returning foragers with food. The time series of interactions and local density of ants show how density hot-spots lead to interactions that are clustered in time. A correlated random walk null model describes the mixing of potential and returning foragers. A model from collision theory relates walking speed and spatial proximity with the probability of interaction. The results demonstrate that although ants do not mix homogeneously, trends in interaction patterns can be explained simply by the walking speed and local density of surrounding ants.