Scenario Analysis for Seeking Cost-Effective Management Using Cellular Automaton-based Model of Invasive Species

Volume: 1 Number: 2 October 21, 2013
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Scenario Analysis for Seeking Cost-Effective Management Using Cellular Automaton-based Model of Invasive Species

Abstract

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.

Keywords

References

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Details

Primary Language

English

Subjects

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Journal Section

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Publication Date

October 21, 2013

Submission Date

November 21, 2012

Acceptance Date

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Published in Issue

Year 2013 Volume: 1 Number: 2

APA
Konoshima, M., & Yoshimoto, A. (2013). Scenario Analysis for Seeking Cost-Effective Management Using Cellular Automaton-based Model of Invasive Species. Eurasian Journal of Forest Science, 1(2), 60-67. https://izlik.org/JA22RC99GG