Evidence of social learning across symbolic cultural barriers in sperm whales

Author:

Leitao Antonio12,Lucas Maxime12,Poetto Simone123,Hersh Taylor A.45,Gero Shane267,Gruber David F.28,Bronstein Michael29,Petri Giovanni121011

Affiliation:

1. CENTAI Institute

2. Project CETI

3. Center for Modern Interdisciplinary Technologies, Nicolaus Copernicus University

4. Comparative Bioacoustics Group, Max Planck Institute for Psycholinguistics

5. Marine Mammal Institute, Oregon State University

6. Department of Biology, Carleton University

7. The Dominica Sperm Whale Project

8. Department of Natural Sciences, City University of New York, Baruch College

9. Department of Computer Science, University of Oxford

10. NPLab, Network Science Institute, Northeastern University London

11. IMT Lucca

Abstract

We provide quantitative evidence suggesting social learning in sperm whales across sociocultural boundaries, using acoustic data from the Pacific and Atlantic Oceans. Traditionally, sperm whale populations are categorized into clans based on their vocal repertoire : the rhythmically patterned click sequences (codas) that they use. Among these codas, identity codas function as symbolic markers for each clan, accounting for 35-60% of codas they produce. We introduce a computational method to model whale speech, which encodes rhythmic microvariations within codas, capturing their vocal style . We find that vocal style-clans closely align with repertoire-clans. However, contrary to vocal repertoire, we show that sympatry increases vocal style similarity between clans for non -identity codas, i.e. most codas, suggesting social learning across cultural boundaries. More broadly, this subcoda structure model offers a framework for comparing communication systems in other species, with potential implications for deeper understanding of vocal and cultural transmission within animal societies.

Publisher

eLife Sciences Publications, Ltd

Reference41 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3