Department of Mathematics and Statistics, University of Melbourne, Melbourne VIC 3010, Australia.
Ecol Appl. 2012 Jul;22(5):1421-7. doi: 10.1890/12-0262.1.
In this short discussion, we point out that it is apparently as easy to be fooled by robustness as it is to be fooled by randomness. Our objective is to bring to the attention of applied ecologists that radius-of-stability robustness models are models of local robustness. As such, these models are utterly unsuitable for the treatment/management of a severe uncertainty characterized by a vast uncertainty space and a likelihood-free quantification of the uncertainty. This observation is particularly pertinent to applications of info-gap decision theory in ecology, conservation biology, and environmental management, where the objective is to identify decisions that are robust against a severe uncertainty of this type.
在本次简短的讨论中，我们指出，人们很容易被稳健性所欺骗，就像被随机性所欺骗一样。我们的目的是让应用生态学家注意到，稳定性半径稳健性模型是局部稳健性的模型。因此，这些模型完全不适合处理/管理具有广阔不确定性空间和不确定性可能性的严重不确定性。这一观察结果对于信息差距决策理论在生态学、保护生物学和环境管理中的应用尤其重要，在这些领域，目标是确定针对这种严重不确定性具有稳健性的决策。
