Developing integrated pest management systems requires detailed quanti
tative knowledge of the interactions between the crop and its pests (i
nsects, diseases and weeds) to identify intervention points and to pre
dict effects through damage relationships or yield loss functions. Bec
ause of the complexity of such systems, models at different levels of
detail are needed to provide insight into the mechanisms of crop-pest
interactions. These insights may form the basis prediction and decisio
n support systems. Several approaches have been developed to link pest
models with crop models. Several coupling points for pest-crop models
were identified for different pest-crop combinations. These were mode
led on the basis of experimental research on the quantification of the
physiological damage mechanisms. Examples are given of the rue of the
models that simulate the impact of pests on crops as an important res
earch tool. Recently, approaches to simulate multiple pest damage have
been developed and evaluated Special attention is given to the use of
such models to understand and predict the effects of weeds on crops.
The approach of linking pest and crop models provides a tool vith whic
h to explore the dynamics of the interactions and optimize pest manage
ment strategies.