The growing methodological toolkit for identifying and studying social learning and culture in non-human animals.

IF 5.3 2区 生物学 Q1 BIOLOGY
Andrew Whiten, Christian Rutz
{"title":"The growing methodological toolkit for identifying and studying social learning and culture in non-human animals.","authors":"Andrew Whiten, Christian Rutz","doi":"10.1098/rstb.2024.0140","DOIUrl":null,"url":null,"abstract":"<p><p>There is a growing consensus that animals' socially transmitted knowledge should be recognized when planning conservation management, but demonstrating social learning or culture can present considerable challenges, especially in the wild. Fortunately, decades of research have spawned a rich methodological toolkit for exactly this purpose. Here, we review principal approaches, including: social learning experiments; analyses of natural or experimentally seeded diffusions of novel behaviours, sometimes using specialist statistical techniques; mapping of behavioural variation across neighbouring, sympatric or captive groups, or at larger scales; and assessment of aspects of cross-generational transmission, including teaching, learning during ontogenetic development and cumulative change. Some methods reviewed were developed for captive studies, but have subsequently been adapted for application in the wild, or are useful for exploring a species' general propensity to learn and transmit information socially. We highlight several emerging 'rapid assessment' approaches-including camera trapping, passive acoustic monitoring, animal-borne tags, AI-assisted data mining and computer simulations-that should prove useful in addressing particularly urgent conservation needs. We conclude by considering how best to use this growing methodological toolkit in practice, to guide further research on animal social learning and cultures, and maximize conservation and policy impact.This article is part of the theme issue 'Animal culture: conservation in a changing world'.</p>","PeriodicalId":19872,"journal":{"name":"Philosophical Transactions of the Royal Society B: Biological Sciences","volume":"380 1925","pages":"20240140"},"PeriodicalIF":5.3000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12044376/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Philosophical Transactions of the Royal Society B: Biological Sciences","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1098/rstb.2024.0140","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

There is a growing consensus that animals' socially transmitted knowledge should be recognized when planning conservation management, but demonstrating social learning or culture can present considerable challenges, especially in the wild. Fortunately, decades of research have spawned a rich methodological toolkit for exactly this purpose. Here, we review principal approaches, including: social learning experiments; analyses of natural or experimentally seeded diffusions of novel behaviours, sometimes using specialist statistical techniques; mapping of behavioural variation across neighbouring, sympatric or captive groups, or at larger scales; and assessment of aspects of cross-generational transmission, including teaching, learning during ontogenetic development and cumulative change. Some methods reviewed were developed for captive studies, but have subsequently been adapted for application in the wild, or are useful for exploring a species' general propensity to learn and transmit information socially. We highlight several emerging 'rapid assessment' approaches-including camera trapping, passive acoustic monitoring, animal-borne tags, AI-assisted data mining and computer simulations-that should prove useful in addressing particularly urgent conservation needs. We conclude by considering how best to use this growing methodological toolkit in practice, to guide further research on animal social learning and cultures, and maximize conservation and policy impact.This article is part of the theme issue 'Animal culture: conservation in a changing world'.

用于识别和研究非人类动物的社会学习和文化的日益增长的方法工具包。
越来越多的人认为,在规划保护管理时,应该认识到动物的社会传播知识,但展示社会学习或文化可能会带来相当大的挑战,尤其是在野外。幸运的是,几十年的研究已经为这一目的产生了丰富的方法工具包。在这里,我们回顾了主要的方法,包括:社会学习实验;对新行为的自然或实验扩散进行分析,有时使用专业统计技术;绘制邻近、同域或圈养群体或更大范围内的行为变异图;以及跨代传承的评估,包括在个体发育和累积变化过程中的教学、学习。有些方法是为圈养研究开发的,但后来被改编用于野外应用,或者对探索物种学习和社交传递信息的一般倾向有用。我们重点介绍了几种新兴的“快速评估”方法,包括摄像机陷阱、被动声学监测、动物携带的标签、人工智能辅助数据挖掘和计算机模拟,这些方法在解决特别紧急的保护需求方面应该是有用的。最后,我们考虑了如何在实践中最好地使用这一不断发展的方法工具包,以指导动物社会学习和文化的进一步研究,并最大限度地发挥保护和政策影响。这篇文章是“动物文化:变化世界中的保护”主题的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书