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利用模拟评估澳大利亚蜜蜂生物安全入侵检测时间。

Using simulation to evaluate time to detect incursions in honeybee biosecurity in Australia.

机构信息

CSIRO Mathematics, Informatics and Statistics, Australia.

出版信息

Risk Anal. 2011 Dec;31(12):1961-8. doi: 10.1111/j.1539-6924.2011.01607.x. Epub 2011 Mar 30.

DOI:10.1111/j.1539-6924.2011.01607.x
PMID:21449958
Abstract

A key determinant of the efficiency of a surveillance system for exotic mites is whether an incursion might be detected sufficiently quickly to allow successful management actions to occur. To assess this possibility we have developed a spatial modeling system and synthesized knowledge of honeybee and mite behavior to explore the potential spread of exotic mites and the likelihood of their detection in sentinel hives. We find that increasing the number of hives and the efficiency of the detection method are the most effective means of improving the time to detection.

摘要

一个监测外来螨效率的关键决定因素是,入侵是否能被及时发现,以便采取成功的管理措施。为了评估这种可能性,我们开发了一个空间建模系统,并综合了蜜蜂和螨虫行为的知识,以探索外来螨虫的潜在传播以及在哨兵蜂箱中检测到它们的可能性。我们发现,增加蜂箱数量和提高检测方法的效率是提高检测时间的最有效手段。

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