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Acoustic cues to individuality in wild male adult African savannah elephants (Loxodonta africana).
The ability to recognize conspecifics plays a pivotal role in animal communication systems. It is especially important for establishing and maintaining associations among individuals of social, long-lived species, such as elephants. While research on female elephant sociality and communication is prevalent, until recently male elephants have been considered far less social than females. This resulted in a dearth of information about their communication and recognition abilities. With new knowledge about the intricacies of the male elephant social structure come questions regarding the communication basis that allows for social bonds to be established and maintained. By analyzing the acoustic parameters of social rumbles recorded over 1.5 years from wild, mature, male African savanna elephants (Loxodonta africana) we expand current knowledge about the information encoded within these vocalizations and their potential to facilitate individual recognition. We showed that social rumbles are individually distinct and stable over time and therefore provide an acoustic basis for individual recognition. Furthermore, our results revealed that different frequency parameters contribute to individual differences of these vocalizations
Acoustic cues to individuality in wild male adult African savannah elephants (Loxodonta africana)
The ability to recognize conspecifics plays a pivotal role in animal communication systems. It is especially important for establishing and maintaining associations among individuals of social, long-lived species, such as elephants. While research on female elephant sociality and communication is prevalent, until recently male elephants have been considered far less social than females. This resulted in a dearth of information about their communication and recognition abilities. With new knowledge about the intricacies of the male elephant social structure come questions regarding the communication basis that allows for social bonds to be established and maintained. By analyzing the acoustic parameters of social rumbles recorded over 1.5 years from wild, mature, male African savanna elephants (Loxodonta africana) we expand current knowledge about the information encoded within these vocalizations and their potential to facilitate individual recognition. We showed that social rumbles are individually distinct and stable over time and therefore provide an acoustic basis for individual recognition. Furthermore, our results revealed that different frequency parameters contribute to individual differences of these vocalizations
Optimising source identification from marmoset vocalisations with hierarchical machine learning classifiers
Marmosets, with their highly social nature and complex vocal communication system, are important models for comparative studies of vocal communication and, eventually, language evolution. However, our knowledge about marmoset vocalisations predominantly originates from playback studies or vocal interactions between dyads, and there is a need to move towards studying group-level communication dynamics. Efficient source identification from marmoset vocalisations is essential for this challenge, and machine learning algorithms (MLAs) can aid it. Here we built a pipeline capable of plentiful feature extraction, meaningful feature selection, and supervised classification of vocalisations of up to 18 marmosets. We optimised the classifier by building a hierarchical MLA that first learned to determine the sex of the source, narrowed down the possible source individuals based on their sex, and then determined the source identity. We were able to correctly identify the source individual with high precisions (87.21% â 94.42%, depending on call type, and up to 97.79% after the removal of twins from the dataset). We also examine the robustness of identification across varying sample sizes. Our pipeline is a promising tool not only for source identification from marmoset vocalisations but also for analysing vocalisations and tracking vocal learning trajectories of other species
Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers
With their highly social nature and complex vocal communication system, marmosets are important models for comparative studies of vocal communication and, eventually, language evolution. However, our knowledge about marmoset vocalizations predominantly originates from playback studies or vocal interactions between dyads, and there is a need to move towards studying group-level communication dynamics. Efficient source identification from marmoset vocalizations is essential for this challenge, and machine learning algorithms (MLAs) can aid it. Here we built a pipeline capable of plentiful feature extraction, meaningful feature selection, and supervised classification of vocalizations of up to 18 marmosets. We optimized the classifier by building a hierarchical MLA that first learned to determine the sex of the source, narrowed down the possible source individuals based on their sex and then determined the source identity. We were able to correctly identify the source individual with high precisions (87.21%â94.42%, depending on call type, and up to 97.79% after the removal of twins from the dataset). We also examine the robustness of identification across varying sample sizes. Our pipeline is a promising tool not only for source identification from marmoset vocalizations but also for analysing vocalizations of other species
The World Spider Trait database: a centralized global open repository for curated data on spider traits
Spiders are a highly diversified group of arthropods and play an important role in terrestrial ecosystems as ubiquitous predators, which makes them a suitable group to test a variety of eco-evolutionary hypotheses. For this purpose, knowledge of a diverse range of species traits is required. Until now, data on spider traits have been scattered across thousands of publications produced for over two centuries and written in diverse languages. To facilitate access to such data, we developed an online database for archiving and accessing spider traits at a global scale. The database has been designed to accommodate a great variety of traits (e.g. ecological, behavioural and morphological) measured at individual, species or higher taxonomic levels. Records are accompanied by extensive metadata (e.g. location and method). The database is curated by an expert team, regularly updated and open to any user. A future goal of the growing database is to include all published and unpublished data on spider traits provided by experts worldwide and to facilitate broad cross-taxon assays in functional ecology and comparative biology.Fil: PekĂĄr, Stano. Masaryk University; RepĂșblica ChecaFil: Wolff, Jonas O. University of Greifswald; AlemaniaFil: CerneckĂĄ, L'udmila. Slovak Academy of Sciences; ArgentinaFil: Birkhofer, Klaus. Brandenburgische Technische UniversitĂ€t Cottbus; AlemaniaFil: Mammola, Stefano. University of Helsinki; FinlandiaFil: Lowe, Elizabeth C.. Macquarie University; AustraliaFil: Fukushima, Caroline S.. University of Helsinki; FinlandiaFil: Herberstein, Marie E.. Macquarie University; AustraliaFil: Kucera, Adam. Masaryk University; RepĂșblica ChecaFil: Buzatto, Bruno A.. University of Western Australia; AustraliaFil: Djoudi, El Aziz. Brandenburgische Technische UniversitĂ€t Cottbus; AlemaniaFil: Domenech, Marc. Universidad de Barcelona; EspañaFil: Enciso, Alison Vanesa. FundaciĂłn Protectora Ambiental Planadas Tolima; ColombiaFil: Piñanez Espejo, Yolanda MarĂa Guadalupe. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - Nordeste. Instituto de BiologĂa Subtropical. Instituto de BiologĂa Subtropical - Nodo Posadas | Universidad Nacional de Misiones. Instituto de BiologĂa Subtropical. Instituto de BiologĂa Subtropical - Nodo Posadas; ArgentinaFil: Febles, Sara. No especifĂca;Fil: GarcĂa, Luis F. Universidad de la RepĂșblica; UruguayFil: Gonçalves Souza, Thiago. Universidad Federal Rural Pernambuco; BrasilFil: Isaia, Marco. UniversitĂ di Torino; ItaliaFil: Lafage, Denis. Universite de Rennes I; FranciaFil: LĂznarovĂĄ, Eva. Masaryk University; RepĂșblica ChecaFil: MacĂas HernĂĄndez, Nuria. Universidad de La Laguna; EspañaFil: Fiorini de Magalhaes, Ivan Luiz. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Museo Argentino de Ciencias Naturales "Bernardino Rivadavia"; ArgentinaFil: Malumbres Olarte, Jagoba. Universidade Dos Açores; PortugalFil: MichĂĄlek, Ondrej. Masaryk University; RepĂșblica ChecaFil: Michalik, Peter. ERNST MORITZ ARNDT UNIVERSITĂT GREIFSWALD (UG);Fil: Michalko, Radek. No especifĂca;Fil: Milano, Filippo. UniversitĂ di Torino; ItaliaFil: MunĂ©var, Ana. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - Nordeste. Instituto de BiologĂa Subtropical. Instituto de BiologĂa Subtropical - Nodo Puerto IguazĂș | Universidad Nacional de Misiones. Instituto de BiologĂa Subtropical. Instituto de BiologĂa Subtropical - Nodo Puerto IguazĂș; ArgentinaFil: Nentwig, Wolfgang. University of Bern; SuizaFil: Nicolosi, Giuseppe. UniversitĂ di Torino; ItaliaFil: Painting, Christina J. No especifĂca;Fil: PĂ©tillon, Julien. Universite de Rennes I; FranciaFil: Piano, Elena. UniversitĂ di Torino; ItaliaFil: Privet, KaĂŻna. Universite de Rennes I; FranciaFil: Ramirez, Martin Javier. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Museo Argentino de Ciencias Naturales "Bernardino Rivadavia"; ArgentinaFil: Ramos, CĂąndida. No especifĂca;Fil: RezĂĄc, Milan. No especifĂca;Fil: Ridel, AurĂ©lien. Universite de Rennes I; FranciaFil: Ruzicka, Vlastimil. No especifĂca;Fil: Santos, Irene. No especifĂca;Fil: SentenskĂĄ, Lenka. Masaryk University; RepĂșblica ChecaFil: Walker, Leilani. No especifĂca;Fil: Wierucka, Kaja. Universitat Zurich; SuizaFil: Zurita, Gustavo Andres. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - Nordeste. Instituto de BiologĂa Subtropical. Instituto de BiologĂa Subtropical - Nodo Posadas | Universidad Nacional de Misiones. Instituto de BiologĂa Subtropical. Instituto de BiologĂa Subtropical - Nodo Posadas; ArgentinaFil: Cardoso, Pedro. No especifĂca
The World Spider Trait database : a centralised global open repository for curated data on spider traits
Publisher Copyright: © The Author(s) 2021. Published by Oxford University Press.Spiders are a highly diversified group of arthropods and play an important role in terrestrial ecosystems as ubiquitous predators, which makes them a suitable group to test a variety of eco-evolutionary hypotheses. For this purpose, knowledge of a diverse range of species traits is required. Until now, data on spider traits have been scattered across thousands of publications produced for over two centuries and written in diverse languages. To facilitate access to such data, we developed an online database for archiving and accessing spider traits at a global scale. The database has been designed to accommodate a great variety of traits (e.g. ecological, behavioural and morphological) measured at individual, species or higher taxonomic levels. Records are accompanied by extensive metadata (e.g. location and method). The database is curated by an expert team, regularly updated and open to any user. A future goal of the growing database is to include all published and unpublished data on spider traits provided by experts worldwide and to facilitate broad cross-taxon assays in functional ecology and comparative biology. Database URL:https://spidertraits.sci.muni.cz/.Peer reviewe
La reconnaissance multi-modale mĂšre-juene chez le lion de mer Australien, Neophoca cinerea
La reconnaissance joue un rĂŽle important dans les systĂšmes de communication animale et plusieurs modalitĂ©s sensorielles sont impliquĂ©es Ă cette fin. Bien que la reconnaissance mĂšre-jeune ait Ă©tĂ© largement Ă©tudiĂ©e, il y a un manque d'information sur la reconnaissance multimodale et l'importance relative des diffĂ©rentes modalitĂ©s dans ce processus. Dans cette thĂšse, j'ai explorĂ© la communication multimodale chez un mammifĂšre colonial - le lion de mer Australien (Neophoca cinerea). La reconnaissance mĂšre-jeune est connue pour ĂȘtre multimodale chez cette espĂšce, mais les processus sous-jacents de la reconnaissance olfactive et visuelle, ainsi que les interactions entre les indices acoustiques, visuels et olfactifs, et leurs contributions relatives restent inconnues. Des analyses chimiques ont permis de dĂ©terminer si les profils chimiques diffĂšrent selon le sexe et l'Ăąge, les colonies et les rĂ©gions corporelles des animaux. La prĂ©sence de similaritĂ©s chimiques entre la mĂšre et son petit suggĂšrent que l'appariement des phĂ©notypes pourrait ĂȘtre utilisĂ© pour la reconnaissance olfactive. J'ai examinĂ© le rĂŽle des indices visuels lors de la reconnaissance mĂšre-jeune et j'ai constatĂ© que les indices visuels spĂ©cifiques Ă l'Ăąge sont utilisĂ©s par les femelles pour affiner la recherche de leur petit dans la colonie. Les jeunes ont Ă©galement la capacitĂ© de distinguer divers indices visuels, qui peuvent ĂȘtre utilisĂ©s pour identifier les diffĂ©rentes classes de congĂ©nĂšres. Enfin, jâai pu aussi dĂ©terminer comment les indices acoustiques, olfactifs et visuels sont utilisĂ©s de maniĂšre synergique dans le processus dâidentification individuel, et les rĂ©sultats sont interprĂ©tĂ© dans une perspective coĂ»ts-avantages pour dĂ©mĂȘler les pressions Ă©volutives sur chaque composante de ce systĂšme de communication. Si les diffĂ©rents indices sensoriels ont la capacitĂ© de transmettre des informations en isolation, leur rĂŽle peut ĂȘtre diffĂ©rent lorsque d'autres indices sensoriels sont prĂ©sents. Les rĂ©sultats de cette recherche fournissent des rĂ©sultats sans prĂ©cĂ©dent, contribuant Ă une meilleure comprĂ©hension de la reconnaissance mĂšre-jeune chez les mammifĂšres, ainsi que des rĂšgles gĂ©nĂ©rales de communication chez les vertĂ©brĂ©s.Recognition plays an important role in animal communication systems and individuals often employ different sensory modalities to enact this activity. Although recognition has been widely investigated, especially for mother-offspring interactions, there is a dearth of information about multimodal recognition and the relative importance and interactions of various sensory cues. In this thesis, I explored multimodal communication in a colonial mammal â the Australian sea lion (Neophoca cinerea). Communication during mother-pup reunions is known to be multimodal in this species, yet the underlying processes of olfactory and visual recognition, as well as the interactions between acoustic, visual and olfactory cues remain unclear. Through chemical analyses, I determined whether chemical profiles differ among sex and age classes, colonies, and body regions of animals. Chemical similarities between mothers and pups indicate that phenotype matching may be used by Australian sea lions for olfactory recognition. I examined the role of visual cues in mother-pup recognition and found that age-specific visual cues assist mothers to refine their search for their offspring in the colony. Pups are capable of distinguishing various visual cues that can be used in the assessment of conspecifics. Having provided baseline information about the role of sensory cues in isolation, I determined how acoustic, olfactory, and visual cues are used in a synergistic way to ensure accurate mutual recognition and then interpreted the results using a cost-benefit perspective to disentangle the evolutionary pressures on each component of this communication system. I showed that although cues have the ability to convey given information in isolation, their role may be different when other sensory cues are present. Furthermore, there is a mutual dependency in the communication system, where the limitations imposed on one participant of the dyad affect cue use by the other. These findings contribute to a better understanding of mammal mother-offspring recognition and communication mechanisms in vertebrates
Multimodal mother-offspring recognition in the Australian sea lion (Neophoca cinerea)
Thesis by publication."Marine Predator Research Group, Department of Biological Sciences, Faculty of Science and Engineering, Macquarie University and Equipe Communications Acoustiques, Department Cognition & Comportement, Institut des Neurosciences Paris-Saclay, UniversiteÌ Paris-Saclay" -- title-page.Includes bibliographical references.Chapter 1. General introduction -- Chapter 2. Extended methods -- Chapter 3. Chemical profiles of integumentary and glandular substratrs in Australian sea lion pups (Neophoca cinerea) -- Chapter 4. Mother-offspring similarity, age and colony affiliation are reflected in chemical profiles of Australian sea lions -- Chapter 5. The role of visual clues in mother-pup reunions in a colonially breeding mammal -- Chapter 6. Visual clues do not enhance sea lion pups' response to multimodal maternal cues -- Chapter 7. Multimodal mother-offspring recognition : the relative importance of acoustic, visual and olfactory cues in a colonial mammal -- Chapter 8. General discussion -- Appendices.Recognition plays an important role in animal communication systems and individuals often employ different sensory modalities to enact this activity. Although recognition has been widely investigated, especially for mother-offspring interactions, there is a dearth of information about multimodal recognition and the relative importance and interactions of various sensory cues. In this thesis, I explored multimodal communication in a colonial mammal - the Australian sea lion (Neophoca cinerea). Communication during mother-pup reunions is known to be multimodal in this species, yet the underlying processes of olfactory and visual recognition, as well as the interactions between acoustic, visual and olfactory cues remain unclear. Through chemical analyses, I determined whether chemical profiles differ among sex and age classes, colonies, and body regions of animals. Chemical similarities between mothers and pups indicate that phenotype matching may be used by Australian sea lions for olfactory recognition. I examined the role of visual cues in mother-pup recognition and found that age-specific visual cues assist mothers to refine their search for their offspring in the colony. Pups are capable of distinguishing various visual cues that can be used in the assessment of conspecifics. Having provided baseline information about the role of sensory cues in isolation, I determined how acoustic, olfactory, and visual cues are used in a synergistic way to ensure accurate mutual recognition and then interpreted the results using a cost-benefit perspective to disentangle the evolutionary pressures on each component of this communication system. I showed that although cues have the ability to convey given information in isolation, their role may be different when other sensory cues are present. Furthermore, there is a mutual dependency in the communication system, where the limitations imposed on one participant of the dyad affect cue use by the other. These findings contribute to a better understanding of mammal mother-offspring recognition and communication mechanisms in vertebrates.Mode of access: World wide web1 online resource (x, 131 pages) colour illustration
Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers
With their highly social nature and complex vocal communication system, marmosets are important models for comparative studies of vocal communication and, eventually, language evolution. However, our knowledge about marmoset vocalizations predominantly originates from playback studies or vocal interactions between dyads, and there is a need to move towards studying group-level communication dynamics. Efficient source identification from marmoset vocalizations is essential for this challenge, and machine learning algorithms (MLAs) can aid it. Here we built a pipeline capable of plentiful feature extraction, meaningful feature selection, and supervised classification of vocalizations of up to 18 marmosets. We optimized the classifier by building a hierarchical MLA that first learned to determine the sex of the source, narrowed down the possible source individuals based on their sex and then determined the source identity. We were able to correctly identify the source individual with high precisions (87.21%-94.42%, depending on call type, and up to 97.79% after the removal of twins from the dataset). We also examine the robustness of identification across varying sample sizes. Our pipeline is a promising tool not only for source identification from marmoset vocalizations but also for analysing vocalizations of other species.ISSN:1742-5689ISSN:1742-566