Childs Dylan Z, Bonsall Michael B, Rees Mark
Department of Biological Sciences, Natural Environment Research Council Centre for Population Biology, Imperial College at Silwood Park, Ascot, Berkshire, SL5 7PY, UK.
J Theor Biol. 2004 Mar 7;227(1):13-23. doi: 10.1016/S0022-5193(03)00293-5.
Within many agricultural systems, insect pests and their natural enemies are forced to persist as a metapopulation, continuously recolonizing patches following disturbance through harvesting or spraying with insecticides. Despite the need to understand factors influencing biocontrol success, few theoretical studies of host-parasitoid interactions have examined the potential impact of local disturbance within a metapopulation framework. Here, we add periodic local mortality to series of classical host-parasitoid models to examine its effect on host suppression and parasitoid persistence. Using a deterministic lattice model, we show that despite the wide range of complex dynamics generated at the patch level, the region wide pattern of disturbance is the key factor influencing host suppression. The level of host suppression achieved can be understood in terms of both the strength of density dependent parasitism, and the relative amounts of host and parasitoid mixing amongst patches of different ages. Local dispersal among patches is sufficient to ensure coexistence of the host and parasitoid, though persistence is not necessarily associated with the formation of self-organized spatial structures reported in previous studies. Finally, a stochastic version of the model is developed, in order to highlight how the effects of demographic stochasticity may influence biocontrol success in highly disturbed agricultural systems.
在许多农业系统中,害虫及其天敌被迫以集合种群的形式存在,在收获或喷洒杀虫剂造成干扰后,不断重新定殖斑块。尽管需要了解影响生物防治成功的因素,但很少有关于寄主 - 寄生蜂相互作用的理论研究在集合种群框架内考察局部干扰的潜在影响。在此,我们在一系列经典的寄主 - 寄生蜂模型中加入周期性局部死亡率,以考察其对寄主抑制和寄生蜂存续的影响。使用确定性格子模型,我们表明,尽管在斑块水平上产生了广泛的复杂动态,但区域范围内的干扰模式是影响寄主抑制的关键因素。所实现的寄主抑制水平可以通过密度依赖寄生的强度以及不同年龄斑块间寄主和寄生蜂的相对混合量来理解。斑块间的局部扩散足以确保寄主和寄生蜂共存,尽管存续不一定与先前研究中报道的自组织空间结构的形成相关。最后,开发了该模型的随机版本,以突出人口统计学随机性的影响如何可能影响高度干扰的农业系统中的生物防治成功。