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Kohles JE, O'Mara MT, Dechmann DKN. A conceptual framework to predict social information use based on food ephemerality and individual resource requirements. Biol Rev Camb Philos Soc 2022; 97:2039-2056. [PMID: 35932159 DOI: 10.1111/brv.12881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 06/03/2022] [Accepted: 06/08/2022] [Indexed: 11/02/2022]
Abstract
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.
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Affiliation(s)
- Jenna E Kohles
- Department of Migration, Max Planck Institute of Animal Behavior, Am Obstberg 1, 78315, Radolfzell, Germany.,Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Universitätsstraße 10, 78464, Konstanz, Germany.,Department of Biology, University of Konstanz, Universitätsstraße 10, 78464, Konstanz, Germany.,Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Ancón, Panama
| | - M Teague O'Mara
- Department of Migration, Max Planck Institute of Animal Behavior, Am Obstberg 1, 78315, Radolfzell, Germany.,Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Ancón, Panama.,Department of Biological Sciences, Southeastern Louisiana University, 808 N. Pine Street, Hammond, LA, 70402, USA
| | - Dina K N Dechmann
- Department of Migration, Max Planck Institute of Animal Behavior, Am Obstberg 1, 78315, Radolfzell, Germany.,Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Universitätsstraße 10, 78464, Konstanz, Germany.,Department of Biology, University of Konstanz, Universitätsstraße 10, 78464, Konstanz, Germany.,Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Ancón, Panama
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Mushabati LM, Eiseb SJ, Benda P, Laverty TM. Effects of lunar phase and temperature on bat activity and species richness at varying altitudes in the Kunene Region, Namibia. Afr J Ecol 2022. [DOI: 10.1111/aje.12968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Lina M. Mushabati
- Department of Environmental Science School of Science University of Namibia Windhoek Namibia
| | - Seth J. Eiseb
- Department of Environmental Science School of Science University of Namibia Windhoek Namibia
- National Museum of Namibia Windhoek Namibia
| | - Petr Benda
- Department of Zoology National Museum (Natural History) Praha 1 Czech Republic
- Department of Zoology Charles University Praha Czech Republic
- Faculty of Forestry and Wood Sciences Czech University of Life Sciences Kamýcká 129 Praha‐Suchdol 16521 Czech Republic
| | - Theresa M. Laverty
- Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado USA
- Department of Ecology and Evolution University of Chicago Chicago Illinois USA
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Martin ML, Travouillon KJ, Fleming PA, Warburton NM. Review of the methods used for calculating physiological cross-sectional area (PCSA) for ecological questions. J Morphol 2020; 281:778-789. [PMID: 32374505 DOI: 10.1002/jmor.21139] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 04/09/2020] [Accepted: 04/23/2020] [Indexed: 12/17/2022]
Abstract
This review examines literature that used physiological cross-sectional area (PCSA) as a representative measure of an individual muscle's maximal isometric force production. PCSA is used to understand the muscle architecture and how a trade-off between muscle force and muscle contractile velocity reflect adaptations of the musculoskeletal system as a reflection of functional demands. Over the decades, methods have been developed to measure muscle volume, fascicle lengths, and pennation angle to calculate PCSA. The advantages and limitations of these methods (especially the inclusion/elimination of pennation angle) are discussed frequently; however, these method descriptions are scattered throughout the literature. Here, we reviewed and summarised the different approaches to collecting and recording muscle architectural properties to subsequently calculate PCSA. By critically discussing the advantages and limitations of each methodology, we aim to provide readers with an overview of repeatable methods to assess muscle architecture. This review may serve as a guide to facilitate readers searching for the appropriate techniques to calculate PCSA and measure muscle architecture to be applied in ecomorphology research. RESEARCH HIGHLIGHTS: Discuss the theories behind PCSA in a synthesised review to inform researchers about PCSA methodology.
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Affiliation(s)
- Meg L Martin
- Environmental and Conservational Sciences, Murdoch University, Murdoch, Australia
| | - Kenny J Travouillon
- Department of Terrestrial Zoology, Western Australian Museum, Welshpool, Australia
| | - Patricia A Fleming
- Environmental and Conservational Sciences, Murdoch University, Murdoch, Australia
| | - Natalie M Warburton
- Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, Australia
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Amador LI, Giannini NP, Simmons NB, Abdala V. Morphology and Evolution of Sesamoid Elements in Bats (Mammalia: Chiroptera). AMERICAN MUSEUM NOVITATES 2018. [DOI: 10.1206/3905.1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Lucila Inés Amador
- Unidad Ejecutora Lillo: Fundación Miguel Lillo – CONICET, Tucumán, Argentina
| | - Norberto Pedro Giannini
- Unidad Ejecutora Lillo: Fundación Miguel Lillo – CONICET, Tucumán, Argentina
- Facultad de Ciencias Naturales e Instituto Miguel Lillo, Universidad Nacional de Tucumán, Tucumán, Argentina
- Division of Vertebrate Zoology (Mammalogy), American Museum of Natural History
| | - Nancy B. Simmons
- Facultad de Ciencias Naturales e Instituto Miguel Lillo, Universidad Nacional de Tucumán, Tucumán, Argentina
| | - Virginia Abdala
- Instituto de Biodiversidad Neotropical: Universidad Nacional de Tucumán – CONICET, Tucumán, Argentina
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