M. Dicke et Lem. Vet, Plant-carnivore interactions: evolutionary and ecological consequences forplant, herbivore and carnivore, HERBIVORES: BETWEEN PLANTS AND PREDATORS, 1999, pp. 483-520
Many terrestrial food webs are dominated by direct and indirect interaction
s among higher plants and arthropods. Direct interactions occur between a c
onsumer and its food. Indirect interactions do not involve consumption. The
y may occur when plants promote the effectiveness of carnivorous arthropods
by emitting herbivore-induced volatiles in response to herbivory. These vo
latiles are an important solution to a foraging problem of carnivorous enem
ies. The volatiles are emitted in large amounts and the blend composition c
an be specific for the plant species, plant genotype or for the herbivore s
pecies or instar damaging the plant. The characteristics of the chemical in
formation such as the degree of specificity and thus the information value
for the responding insects differ largely among plant species. After their
emission, the induced plant volatiles may also affect herbivores, other pla
nts, or competitors or predators of the carnivores. Thus, an information we
b is superimposed upon the food web. This information web is more complex t
han the food web itself. The information-mediated interactions that result
from the emission of herbivore-induced plant volatiles have consequences fo
r the ecology and evolution of plants, herbivores and carnivores in a food
web. For instance, other plants, neighbouring the signalling plants, may pr
ofit from the attracted carnivores, which may influence the strategy of the
signaller. Herbivores may exploit the information in selecting food plants
to avoid competition or enemy-rich space and carnivores may use the inform
ation in developing a flexible foraging strategy with maximal reproductive
success, e.g. through associative learning of the cues.
In this chapter we compare different simple multitrophic systems with the a
im of reaching generalities with regards to the ecological and evolutionary
consequences of the most important information flows.