Department of Entomology, 501 ASI Building, Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Ecology. 2010 Jan;91(1):106-18. doi: 10.1890/08-1246.1.
Many defoliating forest lepidopterans cause predictable periodic deforestation. Several of these species exhibit geographical variation in both the strength of periodic behavior and the frequency of cycles. The mathematical models used to describe the population dynamics of such species commonly predict that gradual variation in the underlying ecological mechanisms may lead to punctuated (subharmonic) variation in outbreak cycles through period-doubling cascades. Gypsy moth, Lymantria dispar, in its recently established range in the northeastern United States may represent an unusually clear natural manifestation of this phenomenon. In this study we introduce a new statistical spatial-smoothing method for estimating outbreak periodicity from space-time defoliation data collected with spatial error. The method statistically confirms the existence of subharmonic variation in cyclicity among different forest types. Some xeric forest types exhibit a statistical 4-5 year period in outbreak dynamics, some mesic forest types a 9-10 year period, and some intermediate forest types a dominant 9-10 year period with a 4-5 year subdominant superharmonic. We then use a theoretical model involving gypsy moth, pathogens, and predators to investigate the possible role of geographical variation in generalist predator populations as the cause of this variation in dynamics. The model predicts that the period of gypsy moth oscillations should be positively associated with predator carrying capacity and that variation in the carrying capacity provides a parsimonious explanation of previous reports of geographical variation in gypsy moth periodicity. Furthermore, a two-patch spatial extension of the model shows that, in the presence of spatial coupling, subharmonic attractors can coexist whereas nonharmonic attractors (i.e., where the cycle lengths are not integer multiples of one another) cannot.
许多落叶性森林鳞翅目昆虫会导致可预测的周期性森林砍伐。这些物种中有几种在周期性行为的强度和周期频率方面存在地理变异。用于描述此类物种种群动态的数学模型通常预测,潜在生态机制的逐渐变化可能会通过倍周期级联导致爆发周期的(亚谐)间断变化。在美国东北部新建立的范围内,舞毒蛾(Lymantria dispar)可能代表了这种现象的一个异常清晰的自然表现。在本研究中,我们引入了一种新的统计空间平滑方法,用于从带有空间误差的时空落叶数据中估计爆发周期性。该方法从统计上证实了不同森林类型之间周期性变化中存在亚谐变化。一些干旱森林类型表现出爆发动态中的统计上 4-5 年周期,一些中湿森林类型表现出 9-10 年周期,一些中间森林类型表现出主要的 9-10 年周期,以及次要的 4-5 年超谐周期。然后,我们使用一个涉及舞毒蛾、病原体和捕食者的理论模型来研究地理上一般捕食者种群变化作为这种动态变化的原因的可能性。该模型预测,舞毒蛾振荡的周期应该与捕食者承载能力呈正相关,而承载能力的变化为之前关于舞毒蛾周期性的地理变异的报告提供了一个简单的解释。此外,模型的两个斑块空间扩展表明,在存在空间耦合的情况下,亚谐吸引子可以共存,而非谐吸引子(即,周期长度不是彼此的整数倍)则不能。