Scenario Analysis for Seeking Cost-Effective Management Using Cellular Automaton-based Model of Invasive Species
In this study we evaluate and compare different invasive species management scenarios in order to investigate a cost-effective management strategy over space and time. Cost effectiveness matters because budget constraints limit the area that can be treated to mitigate the risk of invasion in any given year. The spatial nature of invasive species spread makes it important to effectively allocate budget resources to control spread over space and time. We develop and use a simulation model to examine and compare the effect of various management strategies on the pattern and extent of invasive species spread, as well as management costs. Our model is based on a biological model that captures the dynamic and spatial aspect of invasion, integrated with a spatially explicit dynamic decision tool. Our model explicitly integrates the tradeoff between management intensity and management cost, and quantifies this tradeoff, which is important information for allocating management efforts efficiently and effectively over space and time.
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