论文标题
在游泳浮游生物中通过一对互动聚类
Clustering through pair interactions in swimming zooplankton
论文作者
论文摘要
这项工作着重于浮游动物中交配聚集体的形成。特别是，性接触的行为得到了男性积极游泳以寻找女性的行为支持，一旦发现了女性，就可以接近交配。尽管随机搜索导致个体的扩散通量，但接近遇到的接近支持吸引力。因此，我们询问这些扩散和吸引力的竞争机制是否可以支持聚集并导致交配簇的形成。为了回答我们的问题，我们制定了一个模型，在该模型中，执行随机步行的粒子可以与其他粒子彼此之间的特定距离内找到与其他粒子的接触。我们的分析表明，该模型以类似于胶体聚集过程的方式支持聚类。在此之后，我们分析了游泳copepods的3D轨迹的数据集，并表明结果与我们的模型进行了很好的比较。这些结果支持以下假设：配对促进浮游动物中的交配聚集体足以克服其伴侣搜索行为的扩散性。我们的结果对于理解浮游动物的小规模聚类很有用，这对于预测海洋中的相遇率和繁殖率至关重要。
This work focuses on the formation of mating aggregates in zooplankton. In particular, sexual encounters are behaviourally supported by males actively swimming in search for females, and approaching them for mating once they are found. While the random search leads to a diffusive flux of individuals, the approaching for encounter supports attraction. Thus, we ask whether these competing mechanisms of diffusion and attraction can support aggregation and lead to the formation of mating clusters. To answer our question we formulate a model in which particles performing random walks can briefly make contact with other particles if they are found within a particular distance from each other. Our analysis shows that this model supports clustering in a way analogous to the process of colloid aggregation. Following that, we analyze a dataset of 3D trajectories of swimming copepods and show that the results compare well with our model. These results support the hypothesis that pair-interactions promote mating aggregates in zooplankton and are sufficient to overcome the diffusive nature of their mate searching behavior. Our results are useful for understanding small-scale clustering of zooplankton, which is crucial for predicting encounter rates and reproduction rates in the ocean.
