Department of Mathematics, University Walk, Bristol, BS8 1TW, UK.
Trends Ecol Evol. 2009 Dec;24(12):670-5. doi: 10.1016/j.tree.2009.05.011. Epub 2009 Aug 14.
Behavioural ecology often makes the assumption that animals can respond flexibly by adopting the optimal behaviour for each circumstance. However, as ethologists have long known, behaviour is determined by mechanisms that are not optimal in every circumstance. As we discuss here, we believe that it is necessary to integrate these separate traditions by considering the evolution of mechanisms, an approach referred to as 'Evo-mecho'. This integration is timely because there is a growing awareness of the importance of environmental complexity in shaping behaviour; there are established and effective computational procedures for simulating evolution and there is rapidly increasing knowledge of the neuronal basis of decision-making. Although behavioural ecologists have built complex models of optimal behaviour in simple environments, we argue that they need to focus on simple mechanisms that perform well in complex environments.
行为生态学通常假设动物可以通过采用每种情况下的最佳行为来灵活应对。然而,正如动物行为学家长期以来所知道的,行为是由在每种情况下都不是最佳的机制决定的。正如我们在这里讨论的,我们认为有必要通过考虑机制的进化来整合这些不同的传统,这种方法被称为“Evo-mecho”。这种整合是及时的,因为人们越来越意识到环境复杂性在塑造行为方面的重要性;已经有了用于模拟进化的成熟有效的计算程序,并且对决策的神经元基础的了解也在迅速增加。尽管行为生态学家已经在简单环境中构建了复杂的最佳行为模型,但我们认为他们需要关注在复杂环境中表现良好的简单机制。