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动物的厌恶情绪以及将疾病回避应用于野生动物管理和保护。

Disgust in animals and the application of disease avoidance to wildlife management and conservation.

机构信息

School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China.

School of Life Sciences, University of Lincoln, Lincoln, UK.

出版信息

J Anim Ecol. 2023 Aug;92(8):1489-1508. doi: 10.1111/1365-2656.13903. Epub 2023 Mar 13.

Abstract

Disgust is an adaptive system hypothesized to have evolved to reduce the risk of becoming sick. It is associated with behavioural, cognitive and physiological responses tuned to allow animals to avoid and/or get rid of parasites, pathogens and toxins. Little is known about the mechanisms and outcomes of disease avoidance in wild animals. Furthermore, given the escalation of negative human-wildlife interactions, the translation of such knowledge into the design of evolutionarily relevant conservation and wildlife management strategies is becoming urgent. Contemporary methods in animal ecology and related fields, using direct (sensory cues) or indirect (remote sensing technologies and machine learning) means, provide a flexible toolbox for testing and applying disgust at individual and collective levels. In this review/perspective paper, we provide an empirical framework for testing the adaptive function of disgust and its associated disease avoidance behaviours across species, from the least to the most social, in different habitats. We predict various trade-offs to be at play depending on the social system and ecology of the species. We propose five contexts in which disgust-related avoidance behaviours could be applied, including endangered species rehabilitation, invasive species, crop-raiding, urban pests and animal tourism. We highlight some of the perspectives and current challenges of testing disgust in the wild. In particular, we recommend future studies to consider together disease, predation and competition risks. We discuss the ethics associated with disgust experiments in the above contexts. Finally, we promote the creation of a database gathering disease avoidance evidence in animals and its applications.

摘要

厌恶是一种被假设为进化而来的适应系统,旨在降低患病的风险。它与行为、认知和生理反应有关,旨在使动物能够避免和/或摆脱寄生虫、病原体和毒素。关于野生动物如何避免疾病的机制和结果,我们知之甚少。此外,鉴于负面的人类与野生动物互动不断升级,将这些知识转化为具有进化相关性的保护和野生动物管理策略的设计变得越来越紧迫。动物生态学和相关领域的当代方法,使用直接(感官线索)或间接(遥感技术和机器学习)手段,为在个体和集体层面上测试和应用厌恶提供了一个灵活的工具包。在这篇综述/观点文章中,我们提供了一个经验框架,用于测试厌恶及其相关的疾病回避行为在不同栖息地的从最不社交到最社交的物种中的适应性功能。我们预测,根据物种的社会系统和生态,会出现各种权衡。我们提出了五种可以应用厌恶相关回避行为的情况,包括濒危物种的恢复、入侵物种、作物袭扰、城市害虫和动物旅游。我们强调了在野外测试厌恶的一些观点和当前挑战。特别是,我们建议未来的研究一起考虑疾病、捕食和竞争风险。我们讨论了在上述情况下进行厌恶实验的伦理问题。最后,我们提倡创建一个数据库,收集动物的疾病回避证据及其应用。

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