Cost-benefit analysis for intentional plant introductions under uncertainty

被引:0
作者
Hiroyuki Yokomizo
Hugh P. Possingham
Philip E. Hulme
Anthony C. Grice
Yvonne M. Buckley
机构
[1] Center for Environmental Risk Research,School of Biological Sciences
[2] National Institute for Environmental Studies,undefined
[3] CSIRO Ecosystem Sciences,undefined
[4] EcoSciences Precinct,undefined
[5] The University of Queensland,undefined
[6] The Bio-Protection Research Centre,undefined
[7] Lincoln University,undefined
[8] CSIRO Ecosystem Sciences,undefined
来源
Biological Invasions | 2012年 / 14卷
关键词
Commercial plant; Containment; Cost-benefit analysis; Information-gap decision theory; Invasive weed; Management;
D O I
暂无
中图分类号
学科分类号
摘要
Worldwide, we rely on introduced plants for the essentials of human life; however, intentional plant introductions for commercial benefit have resulted in invaders with negative environmental, economic or social impacts. We argue that plant species of low expected economic value should be less acceptable for introduction than species of high economic value if their other traits are similar; however, key traits such as likelihood of escape and costs of escape are often highly uncertain. Methods do not currently exist which allow decision makers to evaluate costs and benefits of introduction under uncertainty. We developed a cost-benefit analysis for determining plant introduction that incorporates probability of escape, expected economic costs after escape, expected commercial benefits, and the efficiency and cost of containment. We used a model to obtain optimal decisions for the introduction and containment of commercial plants while maximizing net benefit or avoiding losses. We also obtained conditions for robust decisions which take into account severe uncertainty in model parameters using information-gap decision theory. Optimal decisions for introduction and containment of commercial plants depended, not only on the probability of escape and subsequent costs incurred, but also on the anticipated commercial benefit, and the cost and efficiency of containment. When our objective is to maximize net benefit, increasing uncertainty in parameter values increased the likelihood of introduction; in contrast, if our objective is to avoid losses, more uncertainty decreased the likelihood of introduction.
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页码:839 / 849
页数:10
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