Nicolis S C
Biology Department, Concordia University, 7141 Sherbrooke W., Montreal, PQ, H4B 1R6, Canada.
Bull Math Biol. 2007 Oct;69(7):2387-403. doi: 10.1007/s11538-007-9224-y. Epub 2007 Jun 7.
A model for the kinetics of aggregation in social insects which accounts for stochastic effects arising from individual variability and covers both the early and the mature stages of the process is developed. Different aggregation scenarios are studied, depending on the degree of cooperativity and the mean population density. It is shown that under certain conditions, the system evolves slowly to a single cluster incorporating all individuals, or to two coexisting clusters of similar sizes.
建立了一个社会性昆虫聚集动力学模型,该模型考虑了个体变异性产生的随机效应,并涵盖了该过程的早期和成熟阶段。根据协同程度和平均种群密度,研究了不同的聚集情况。结果表明,在某些条件下,系统会缓慢演化为包含所有个体的单个集群,或演化为两个大小相似的共存集群。