超越噪音:种群动态对声音信号进化的影响

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Megha Suswaram, Uttam Bhat and Justin D Yeakel
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引用次数: 0

摘要

许多有性繁殖的物种都利用声信号来选择配偶和提高适应能力。然而,在密集的种群中,信号会产生听觉背景或合唱,这可能会干扰信号接收者的语音选择性或分辨个体信号的能力。个体信号的强度、发音选择性和种群规模之间的反馈可能会以复杂的方式相互作用,影响种群内信号的进化,从而可能导致沉默的出现。在这里,我们建立了一个能捕捉个体声音信号、发音选择性和种群级合唱之间动态反馈的一般模型,以探索种群内声音特征的生态进化动态。我们发现,种群动态对信号特征的进化动态有重大影响,而且非常急剧的转变会将明显种群与无声种群区分开来。我们的框架还揭示出,语音选择性的增加会促进信号群的稳定性,而从信号群到无声群的过渡很容易出现滞后现象。我们认为,理解影响种群数量的因素(如环境生产力)与影响发音选择性的因素(如人为噪声)之间的关系,对于理解声信号种群与无声种群之间复杂的镶嵌关系至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rising above the noise: the influence of population dynamics on the evolution of acoustic signaling
Acoustic signaling is employed by many sexually reproducing species to select for mates and enhance fitness. However, signaling in dense populations can create an auditory background, or chorus, which may interfere with a signal receiver’s phonotactic selectivity, or the ability to distinguish individual signals. Feedback between the strength of an individual’s signal, phonotactic selectivity, and population size, may interact in complex ways to impact the evolution of signaling within a population, potentially leading to the emergence of silence. Here we formulate a general model that captures the dynamic feedback between individual acoustic signalers, phonotactic selectivity, and the population-level chorus to explore the eco-evolutionary dynamics of an acoustic trait within a population. We find that population dynamics have a significant influence on the evolutionary dynamics of the signaling trait, and that very sharp transitions separate conspicuous from silent populations. Our framework also reveals that increased phonotactic selectivity promotes the stability of signaling populations, and that transitions from signaling to silence are prone to hysteresis. We suggest that understanding the relationship between factors influencing population size, such as environmental productivity, as well as factors influencing phonotactic selectivity, such as anthropogenic noise, are central to understanding the complex mosaic of acoustically signaling and silent populations.
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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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