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      Dwarf mongoose alarm calls: investigating a complex non-human animal call

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          Abstract

          Communication plays a vital role in the social lives of many species and varies greatly in complexity. One possible way to increase communicative complexity is by combining signals into longer sequences, which has been proposed as a mechanism allowing species with a limited repertoire to increase their communicative output. In mammals, most studies on combinatoriality have focused on vocal communication in non-human primates. Here, we investigated a potential combination of alarm calls in the dwarf mongoose ( Helogale parvula ), a non-primate mammal. Acoustic analyses and playback experiments with a wild population suggest: (i) that dwarf mongooses produce a complex call type (T 3 ) which, at least at the surface level, seems to comprise units that are not functionally different to two meaningful alarm calls (aerial and terrestrial); and (ii) that this T 3 call functions as a general alarm, produced in response to a wide range of threats. Using a novel approach, we further explored multiple interpretations of the T 3 call based on the information content of the apparent comprising calls and how they are combined. We also considered an alternative, non-combinatorial interpretation that frames T 3 as the origin, rather than the product, of the individual alarm calls. This study complements previous knowledge of vocal combinatoriality in non-primate mammals and introduces an approach that could facilitate comparisons between different animal and human communication systems.

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          Most cited references34

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          Social complexity as a proximate and ultimate factor in communicative complexity.

          The 'social complexity hypothesis' for communication posits that groups with complex social systems require more complex communicative systems to regulate interactions and relations among group members. Complex social systems, compared with simple social systems, are those in which individuals frequently interact in many different contexts with many different individuals, and often repeatedly interact with many of the same individuals in networks over time. Complex communicative systems, compared with simple communicative systems, are those that contain a large number of structurally and functionally distinct elements or possess a high amount of bits of information. Here, we describe some of the historical arguments that led to the social complexity hypothesis, and review evidence in support of the hypothesis. We discuss social complexity as a driver of communication and possible causal factor in human language origins. Finally, we discuss some of the key current limitations to the social complexity hypothesis-the lack of tests against alternative hypotheses for communicative complexity and evidence corroborating the hypothesis from modalities other than the vocal signalling channel.
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            Language evolution: semantic combinations in primate calls.

            Syntax sets human language apart from other natural communication systems, although its evolutionary origins are obscure. Here we show that free-ranging putty-nosed monkeys combine two vocalizations into different call sequences that are linked to specific external events, such as the presence of a predator and the imminent movement of the group. Our findings indicate that non-human primates can combine calls into higher-order sequences that have a particular meaning.
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              Discriminant function analysis with nonindependent data: consequences and an alternative

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Proceedings of the Royal Society B: Biological Sciences
                Proc. R. Soc. B.
                The Royal Society
                0962-8452
                1471-2954
                September 30 2020
                September 23 2020
                September 30 2020
                : 287
                : 1935
                : 20192514
                Affiliations
                [1 ]Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
                [2 ]School of Biological Sciences, University of Bristol, 24 Tyndall Ave, Bristol BS8 1TQ, UK
                [3 ]Psycholinguistics Laboratory, University of Zurich, Plattenstrasse 54, 8032 Zurich, Switzerland
                [4 ]Department of Comparative Language Science, University of Zurich, Plattenstrasse 54, 8032 Zurich, Switzerland
                [5 ]Center for the Interdisciplinary Study of Language Evolution (ISLE), University of Zurich, Switzerland
                [6 ]Department of Psychology, University of Warwick, Coventry CV4 7AL, UK
                Article
                10.1098/rspb.2019.2514
                32962548
                2f355c61-83a2-4c76-8062-9c951ad0e0e1
                © 2020

                https://royalsociety.org/-/media/journals/author/Licence-to-Publish-20062019-final.pdf

                https://royalsociety.org/journals/ethics-policies/data-sharing-mining/

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