Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803.
Proc Natl Acad Sci U S A. 2013 Sep 10;110(37):14978-83. doi: 10.1073/pnas.1300759110. Epub 2013 Aug 21.
Cyclic outbreaks of defoliating insects devastate forests, but their causes are poorly understood. Outbreak cycles are often assumed to be driven by density-dependent mortality due to natural enemies, because pathogens and predators cause high mortality and because natural-enemy models reproduce fluctuations in defoliation data. The role of induced defenses is in contrast often dismissed, because toxic effects of defenses are often weak and because induced-defense models explain defoliation data no better than natural-enemy models. Natural-enemy models, however, fail to explain gypsy moth outbreaks in North America, in which outbreaks in forests with a higher percentage of oaks have alternated between severe and mild, whereas outbreaks in forests with a lower percentage of oaks have been uniformly moderate. Here we show that this pattern can be explained by an interaction between induced defenses and a natural enemy. We experimentally induced hydrolyzable-tannin defenses in red oak, to show that induction reduces variability in a gypsy moth's risk of baculovirus infection. Because this effect can modulate outbreak severity and because oaks are the only genus of gypsy moth host tree that can be induced, we extended a natural-enemy model to allow for spatial variability in inducibility. Our model shows alternating outbreaks in forests with a high frequency of oaks, and uniform outbreaks in forests with a low frequency of oaks, matching the data. The complexity of this effect suggests that detecting effects of induced defenses on defoliator cycles requires a combination of experiments and models.
周期性的食叶昆虫爆发会给森林带来毁灭性的影响,但它们的成因还不太清楚。爆发周期通常被认为是由天敌导致的密度依赖型死亡率驱动的,因为病原体和捕食者会导致高死亡率,而且天敌模型可以再现食叶数据的波动。相比之下,诱导防御的作用往往被忽视,因为防御的毒性作用通常较弱,而且诱导防御模型对食叶数据的解释并不比天敌模型好。然而,天敌模型无法解释北美的舞毒蛾爆发,在这些爆发中,栎树比例较高的森林中的爆发呈现出严重和温和交替的模式,而栎树比例较低的森林中的爆发则一直较为温和。在这里,我们表明这种模式可以通过诱导防御和一种天敌之间的相互作用来解释。我们在红橡树上进行了水解单宁防御的诱导实验,以表明诱导可以降低舞毒蛾感染杆状病毒的风险的可变性。由于这种影响可以调节爆发的严重程度,而且栎树是唯一可以诱导的舞毒蛾宿主树的属,我们扩展了天敌模型,以允许在诱导能力上存在空间变异性。我们的模型表明,栎树比例较高的森林中会出现交替爆发,而栎树比例较低的森林中则会出现均匀爆发,与数据相符。这种效应的复杂性表明,检测诱导防御对食叶虫周期的影响需要实验和模型的结合。