Proceedings of the National Academy of Sciences · 2013 · 88 citations · 58 references
Life SciencesEcologyEntomologyCoevolutionHost-pathogen InteractionsInsect EcologyDisease DynamicsForest Insect Natural EnemiesForest Insect Outbreak DynamicsForest Insect PestsPlant-insect InteractionsPlant-pathogen InteractionsForest Pest EcologyForest Pest OutbreaksHost-pathogen Dynamics ModelsInduced DefensesInduced Plant DefensesInsect-host InteractionsPathogen-host InteractionsPest Natural Enemies
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.
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Mixed-Effects Models in S and S-PLUS
Technometrics · 2001 · 9.4K citations · Full text
Dispersal Data and the Spread of Invading Organisms
Mark Kot, Mark A. Lewis, P. van den Driessche · Ecology · 1996 · 1.5K citations · Full text
Life Sciences, Biology, Ecology +16