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最佳根除:何时停止寻找入侵植物。

Optimal eradication: when to stop looking for an invasive plant.

作者信息

Regan Tracey J, McCarthy Michael A, Baxter Peter W J, Dane Panetta F, Possingham Hugh P

机构信息

The Ecology Centre, School of Integrative Biology, The University of Queensland, St Lucia, QLD 4072, Australia.

出版信息

Ecol Lett. 2006 Jul;9(7):759-66. doi: 10.1111/j.1461-0248.2006.00920.x.

Abstract

The notion of being sure that you have completely eradicated an invasive species is fanciful because of imperfect detection and persistent seed banks. Eradication is commonly declared either on an ad hoc basis, on notions of seed bank longevity, or on setting arbitrary thresholds of 1% or 5% confidence that the species is not present. Rather than declaring eradication at some arbitrary level of confidence, we take an economic approach in which we stop looking when the expected costs outweigh the expected benefits. We develop theory that determines the number of years of absent surveys required to minimize the net expected cost. Given detection of a species is imperfect, the optimal stopping time is a trade-off between the cost of continued surveying and the cost of escape and damage if eradication is declared too soon. A simple rule of thumb compares well to the exact optimal solution using stochastic dynamic programming. Application of the approach to the eradication programme of Helenium amarum reveals that the actual stopping time was a precautionary one given the ranges for each parameter.

摘要

由于检测不完善和种子库持续存在,确信已彻底根除入侵物种的想法是不切实际的。根除通常是基于临时决定、种子库寿命的概念,或者设定物种不存在的1%或5%置信度的任意阈值来宣布的。我们没有在某个任意置信水平宣布根除,而是采用一种经济方法,即当预期成本超过预期收益时就停止搜寻。我们建立理论来确定为使净预期成本最小化所需的未进行调查的年数。鉴于物种检测不完善,最优停止时间是继续调查成本与过早宣布根除时逃逸和造成损害成本之间的权衡。一个简单的经验法则与使用随机动态规划的精确最优解相比效果良好。将该方法应用于苦味堆心菊的根除计划表明,考虑到每个参数的范围,实际停止时间是一种预防措施。

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