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首页> 外文期刊>Philosophical Transactions of the Royal Society of London, Series B. Biological Sciences >The signal detection problem of aposematic prey revisited: integrating prior social and personal experience
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The signal detection problem of aposematic prey revisited: integrating prior social and personal experience

机译:重新审议视野猎物的信号检测问题:以前的社会和个人体验整合

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摘要

Ever since Alfred R. Wallace suggested brightly coloured, toxic insects warn predators about their unprofitability, evolutionary biologists have searched for an explanation of how these aposematic prey evolve and are maintained in natural populations. Understanding how predators learn about this widespread prey defence is fundamental to addressing the problem, yet individuals differ in their foraging decisions and the predominant application of associative learning theory largely ignores predators' foraging context. Here we revisit the suggestion made 15 years ago that signal detection theory provides a useful framework to model predator learning by emphasizing the integration of prior information into predation decisions. Using multiple experiments where we modified the availability of social information using video playback, we show that personal information (sampling aposematic prey) improves how predators (great tits, Parus major) discriminate between novel aposematic and cryptic prey. However, this relationship was not linear and beyond a certain point personal encounters with aposematic prey were no longer informative for prey discrimination. Social information about prey unpalatability reduced attacks on aposematic prey across learning trials, but it did not influence the relationship between personal sampling and discrimination. Our results suggest therefore that acquiring social information does not influence the value of personal information, but more experiments are needed to manipulate pay-offs and disentangle whether information sources affect response thresholds or change discrimination.
机译:自从阿尔弗雷德华莱士建议鲜艳,有毒的昆虫警告捕食者关于他们无法控制的掠夺者,进化生物学家已经搜索了这些所谓的猎物如何进化和维持在天然群体的解释。了解捕食者如何了解这一广泛的猎物救护者是解决问题的基础,但个人在他们的觅食决策中不同,以及联想学习理论的主要应用在很大程度上忽略了捕食者的觅食背景。在这里,我们通过强调先前信息集成到捕食决策,重新审视了15年前的建议,以通过强调将先前信息集成到捕食决策,提供了模拟捕食者学习的有用框架。使用多个实验,我们通过视频播放修改了社交信息的可用性,我们表明个人信息(采样的evosematic猎物)改善了捕食者(伟大的山雀,Parus Major)如何区分新型的视野和隐秘猎物。然而,这种关系并不是线性的,除了某种观点的特定点,具有视野猎物的个人遭遇不再是猎物歧视的信息。关于猎物unpalatability的社会信息减少了对学习试验的攻击攻击,但它没有影响个人采样与歧视之间的关系。因此,我们的结果表明,获取社会信息不会影响个人信息的价值,但需要更多的实验来操纵薪酬和解散信息来源是否影响响应阈值或变更歧视。

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