A bioeconomic model for determining the optimal response strategies for a new weed incursion |
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Authors: | Rohan T Jayasuriya Randall E Jones Remy van de Ven |
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Institution: | (1) Environmental Protection Agency, Queensland Government, Queensland, QLD, Australia;(2) School for Environmental Research, Charles Darwin University, Darwin, NT, Australia;(3) Department Of Defence, Australian Government, Campbell Park, ACT, Australia;(4) Natural Resources, Environment, The Arts and Sport, Northern Territory Government, Darwin, NT, Australia |
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Abstract: | Invasions by non-indigenous plant species pose serious economic threats to Australian agricultural industries. When a new
invader is identified a rapid response is critical, particularly if the invasive species has the ability to spread rapidly.
An early decision is required whether to attempt to eradicate or contain the infestation, or do nothing and leave it to landholders
to manage. These decisions should be based on economic considerations that account for 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, from the
government’s perspective. The modelling framework is used to evaluate hypothetical case study invasive weed control scenarios
in the Australian cropping systems. The benefit–cost ratios of invasion control are shown to be generally very high and clearly,
there are significant benefits to be achieved by controlling highly invasive weeds when initial infestations are at a low
level. Even if the invasion cannot be eradicated due to its high invasiveness or budget constraints, it still pays to maintain
invasions at low levels. |
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