A bioeconomic model for determining the optimal response to a new weed incursion in Australian cropping systems
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Invasions by non-indigenous plant species pose serious economic threats to Australian
agricultural industries. When an invasion is discovered a decision has to be made as to
whether to attempt to eradicate it, contain it or do nothing. These decisions should be based
on long term benefits and costs. This paper describes a bioeconomic simulation framework
with a mathematical model representing weed spread linked to a dynamic programming
model to provide a means of determining the economically optimal weed management
strategies over time. The modelling framework is used to evaluate case study invasive weed
control problems in the Australian grains industry.
