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A conceptual framework to predict social information use based on food ephemerality and individual resource requirements

A conceptual framework to predict social information use based on food ephemerality and individual resource requirements

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KOHLES, Jenna E., M Teague O'MARA, Dina K. N. DECHMANN, 2022. A conceptual framework to predict social information use based on food ephemerality and individual resource requirements. In: Biological Reviews. Wiley. ISSN 1464-7931. eISSN 1469-185X. Available under: doi: 10.1111/brv.12881

@article{Kohles2022-08-05conce-58248, title={A conceptual framework to predict social information use based on food ephemerality and individual resource requirements}, year={2022}, doi={10.1111/brv.12881}, issn={1464-7931}, journal={Biological Reviews}, author={Kohles, Jenna E. and O'Mara, M Teague and Dechmann, Dina K. N.} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/58248"> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:creator>Kohles, Jenna E.</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> <dc:creator>Dechmann, Dina K. N.</dc:creator> <dc:contributor>Kohles, Jenna E.</dc:contributor> <dc:contributor>O'Mara, M Teague</dc:contributor> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dc:creator>O'Mara, M Teague</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/43615"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/58248"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-08-09T10:56:17Z</dcterms:available> <dcterms:abstract xml:lang="eng">Environmental variability poses a range of challenges to foraging animals trying to meet their energetic needs. Where food patches are unpredictable but shareable, animals can use social information to locate patches more efficiently or reliably. However, resource unpredictability can be heterogeneous and complex. The behavioural strategies animals employ to exploit such resources also vary, particularly if, when, and where animals use available social information. We reviewed the literature on social information use by foraging animals and developed a novel framework that integrates four elements - (1) food resource persistence; (2) the relative value of social information use; (3) behavioural context (opportunistic or coordinated); and (4) location of social information use - to predict and characterize four strategies of social information use - (1) local enhancement; (2) group facilitation; (3) following; and (4) recruitment. We validated our framework by systematically reviewing the growing empirical literature on social foraging in bats, an ideal model taxon because they exhibit extreme diversity in ecological niche and experience low predation risk while foraging but function at high energy expenditures, which selects for efficient foraging behaviours. Our framework's predictions agreed with the observed natural behaviour of bats and identified key knowledge gaps for future studies. Recent advancements in technology, methods, and analysis will facilitate additional studies in bats and other taxa to further test the framework and our conception of the ecological and evolutionary forces driving social information use. Understanding the links between food distribution, social information use, and foraging behaviour will help elucidate social interactions, group structure, and the evolution of sociality for species across the animal kingdom.</dcterms:abstract> <dc:contributor>Dechmann, Dina K. N.</dc:contributor> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:issued>2022-08-05</dcterms:issued> <dc:rights>Attribution 4.0 International</dc:rights> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-08-09T10:56:17Z</dc:date> <dc:language>eng</dc:language> <dcterms:title>A conceptual framework to predict social information use based on food ephemerality and individual resource requirements</dcterms:title> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/43615"/> </rdf:Description> </rdf:RDF>

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