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野生鸟类蛋和雏鸟的检测:我们应该依赖视觉模型还是行为实验?

Avian egg and nestling detection in the wild: should we rely on visual models or behavioural experiments?

机构信息

Department of Functional and Evolutionary Ecology, Spanish Council for Research (EEZA-CSIC), Carretera de Sacramento s/n, 04120, La Cañada de San Urbano, E04120 Almería, Spain.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2020 Jul 6;375(1802):20190485. doi: 10.1098/rstb.2019.0485. Epub 2020 May 18.

Abstract

The fields of avian egg and nestling colour detection have rapidly advanced owing to the application of visual models, which have allowed assessing of evolutionary questions considering receiver perception. Here, I first review the literature aiming to identify patterns of avian visual model usage. Second, I elaborate on limitations in the application of the receptor-noise limited perceptual (RNL hereafter) model. A systematic literature review revealed that the RNL model was the most used approach (81% of studies) in the field, and that most studies (76%) were concerned with classic evolutionary questions in avian brood parasitism. Some known limitations of the RNL model deal with model assumptions and parameterization, or, a poor consideration of post-detection neural processes. Others, however, are specific of the fields of egg and nestling discrimination and deal with the highly variable nature of ambient light at the nests, the complex colour design of eggs and nestlings, the multi-dimensional nature of perception, and the possible implication of learning. I, therefore, conclude that visual models should be used with caution to establish inference about egg and nestling discrimination, and rather be used to provide reasonable hypotheses which need to be validated with behavioural experiments. This article is part of the theme issue 'Signal detection theory in recognition systems: from evolving models to experimental tests'.

摘要

由于视觉模型的应用,鸟类卵和雏鸟颜色检测领域取得了快速进展,这些模型允许根据接收者的感知来评估进化问题。在这里,我首先回顾了旨在确定鸟类视觉模型使用模式的文献。其次,我详细阐述了在应用受体噪声限制感知(以下简称 RNL)模型时的局限性。系统的文献回顾显示,RNL 模型是该领域最常用的方法(81%的研究),并且大多数研究(76%)都涉及鸟类巢寄生中的经典进化问题。RNL 模型的一些已知局限性涉及模型假设和参数化,或者对检测后神经过程的考虑不足。然而,其他一些局限性是特定于卵和雏鸟辨别领域的,涉及巢中环境光的高度可变性、卵和雏鸟的复杂颜色设计、感知的多维性质以及学习的可能影响。因此,我得出结论,在确定卵和雏鸟的辨别时,应谨慎使用视觉模型来进行推断,而应将其用于提供合理的假设,这些假设需要通过行为实验进行验证。本文是主题为“识别系统中的信号检测理论:从进化模型到实验测试”的一部分。

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