Volume 10, Issue 2
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Individual-Based Models of the Spread of Disease, Weeds, and Insects
Several simulations of the spread of organisms are presented using spatially explicit, individual-based stochastic models. These models have proven to be useful tools for predicting the behaviour of populations based on scientific understanding of the behaviour of individuals.
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About the Authors
Art Diggle is a Senior Research Officer with the Department of Agriculture, Western Australia and a member of the Cooperative Research Centre for Australian Weed Management. He uses Mathematica primarily for modelling the spread of organisms and the selection of polygenic traits in plant populations. Moin Salam is a Research Officer with the Department of Agriculture, Western Australia. He develops simulation models and computer-based tools for the management of crop diseases. Marta Monjardino has until recently been a postdoctoral research fellow with the Cooperative Research Centre for Australian Weed Management based at the Department of Agriculture, Western Australia. She has developed simulation models of the spread of weeds and development of herbicide resistance in farming systems. Art Diggle Department of Agriculture, Western Australia 3 Baron-Hay Court South Perth WA 6151, Australia adiggle@agric.wa.gov.au Moin Salam Department of Agriculture, Western Australia P.O. Box 483 Northam WA 6401, Australia msalam@agric.wa.gov.au Marta Monjardino
Consultant, Agricultural Economics 7 Guilford Street Kensington Park SA 5068, Australia giesbertz@ozemail.com.au |
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