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作为信号进化机制的峰值转移辨别学习

Peak shift discrimination learning as a mechanism of signal evolution.

作者信息

Lynn Spencer K, Cnaani Jonathan, Papaj Daniel R

机构信息

Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA.

出版信息

Evolution. 2005 Jun;59(6):1300-5.

PMID:16050106
Abstract

"Peak shift" is a behavioral response bias arising from discrimination learning in which animals display a directional, but limited, preference for or avoidance of unusual stimuli. Its hypothesized evolutionary relevance has been primarily in the realm of aposematic coloration and limited sexual dimorphism. Here, we develop a novel functional approach to peak shift, based on signal detection theory, which characterizes the response bias as arising from uncertainty about stimulus appearance, frequency, and quality. This approach allows the influence of peak shift to be generalized to the evolution of signals in a variety of domains and sensory modalities. The approach is illustrated with a bumblebee (Bombus impatiens) discrimination learning experiment. Bees exhibited peak shift while foraging in an artificial Batesian mimicry system. Changes in flower abundance, color distribution, and visitation reward induced bees to preferentially visit novel flower colors that reduced the risk of flower-type misidentification. Under conditions of signal uncertainty, peak shift results in visitation to rarer, but more easily distinguished, morphological variants of rewarding species in preference to their average morphology. Peak shift is a common and taxonomically widespread phenomenon. This example of the possible role of peak shift in signal evolution can be generalized to other systems in which a signal receiver learns to make choices in situations in which signal variation is linked to the sender's reproductive success.

摘要

“峰值转移”是一种源于辨别学习的行为反应偏差,在这种偏差中,动物对异常刺激表现出定向但有限的偏好或回避。其假定的进化相关性主要存在于警戒色和有限的两性异形领域。在这里,我们基于信号检测理论开发了一种新的峰值转移功能方法,该方法将反应偏差表征为源于刺激外观、频率和质量的不确定性。这种方法使峰值转移的影响能够推广到各种领域和感官模式下信号的进化。通过一项熊蜂(明亮熊蜂)辨别学习实验对该方法进行了说明。在人工贝氏拟态系统中觅食时,蜜蜂表现出了峰值转移。花朵丰度、颜色分布和访花奖励的变化促使蜜蜂优先访问能降低花型误认风险的新花色。在信号不确定的情况下,峰值转移导致蜜蜂优先访问奖励性物种中更稀少但更容易区分的形态变体,而非其平均形态。峰值转移是一种常见且在分类学上广泛存在的现象。峰值转移在信号进化中可能发挥的作用的这个例子可以推广到其他系统,在这些系统中,信号接收者在信号变化与信号发送者的繁殖成功相关联的情况下学习做出选择。

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