Abrams Peter A, Brassil Chad E, Holt Robert D
Department of Zoology, The University of Toronto, 25 Harbord Street, Toronto, Ont., Canada M5S 3G5.
Theor Popul Biol. 2003 Sep;64(2):163-76. doi: 10.1016/s0040-5809(03)00067-4.
Two or more competing predators can coexist using a single homogeneous prey species if the system containing all three undergoes internally generated fluctuations in density. However, the dynamics of species that coexist via this mechanism have not been extensively explored. Here, we examine both the nature of the dynamics and the responses of the mean densities of each predator to mortality imposed upon it or its competitor. The analysis of dynamics uncovers several previously undescribed behaviors for this model, including chaotic fluctuations, and long-term transients that differ significantly from the ultimate patterns of fluctuations. The limiting dynamics of the system can be loosely classified as synchronous cycles, asynchronous cycles, and chaotic dynamics. Synchronous cycles are simple limit cycles with highly positively correlated densities of the two predator species. Asynchronous cycles are limit cycles, frequently of complex form, including a significant period during which prey density is nearly constant while one predator gradually, monotonically replaces the other. Chaotic dynamics are aperiodic and generally have intermediate correlations between predator densities. Continuous changes in density-independent mortality rates often lead to abrupt transitions in mean population sizes, and increases in the mortality rate of one predator may decrease the population size of the competing predator. Similarly, increases in the immigration rate of one predator may decrease its own density and increase the density of the other predator. Proportional changes in one predator's birth and death rate functions can have significant effects on the dynamics and mean densities of both predator species. All of these responses to environmental change differ from those observed when competitors coexist stably as the result of resource (prey) partitioning. The patterns described here occur in many other competition models in which there are cycles and differences in the linearity of the responses of consumers to their resources.
如果包含所有这三个物种的系统在密度上经历内源性波动,那么两种或更多相互竞争的捕食者可以利用单一的同质猎物物种共存。然而,通过这种机制共存的物种动态尚未得到广泛研究。在这里,我们研究了动态的本质以及每个捕食者的平均密度对施加于自身或其竞争者的死亡率的响应。对动态的分析揭示了该模型几种先前未描述的行为,包括混沌波动以及与最终波动模式有显著差异的长期瞬态。系统的极限动态可以大致分为同步周期、异步周期和混沌动态。同步周期是简单的极限环,两种捕食者物种的密度高度正相关。异步周期是极限环,通常形式复杂,包括一个显著时期,在此期间猎物密度几乎恒定,而一种捕食者逐渐、单调地取代另一种捕食者。混沌动态是非周期性的,捕食者密度之间通常具有中等相关性。与密度无关的死亡率的持续变化常常导致平均种群大小的突然转变,一种捕食者死亡率的增加可能会降低竞争捕食者的种群大小。同样,一种捕食者迁入率的增加可能会降低其自身密度并增加另一种捕食者的密度。一种捕食者的出生率和死亡率函数的比例变化会对两种捕食者物种的动态和平均密度产生显著影响。所有这些对环境变化的响应都不同于当竞争者由于资源(猎物)划分而稳定共存时所观察到的情况。这里描述的模式出现在许多其他竞争模型中,在这些模型中存在周期以及消费者对其资源响应的线性差异。