The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Metabolic rate shapes differences in foraging efficiency among honeybee foragers
Abstract
Metabolic rate is the rate at which organisms process energy and is often considered as the fundamental driver of life history processes. The link between metabolic rate and life history is critically mediated via foraging, which shapes the energy acquisition patterns of an individual. This predicts that individuals with different metabolic rates likely vary in their foraging strategies, although such a link has rarely been empirically investigated in the context of optimal foraging theory—a powerful framework for understanding how animals maximize their foraging returns. Many central place foragers such as honeybees maximize their energetic efficiency rather than the rate of energetic gain, given the critical role of energetic costs in foraging decisions. We therefore tested if individuals with low and high metabolic rates differ in efficiency maximization, using genetic lines of honeybees with different metabolic rates. Our results show that low metabolic rate foragers visit more flowers during a foraging trip and have a higher energetic efficiency than high metabolic rate foragers in both low and high resource conditions. We discuss the significance of these results in the context of division of labor and the adaptive role of phenotypic diversity in metabolic rate in a social insect colony.
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“Finally, the bee faces a complex sequential decision-making task: each action affects the ability to perform future actions, both in terms of where the bee ends up and simply because foraging for food itself takes energy [24,25].”
From Phenomenal interface theory: a model for basal consciousness (2025) · cites this paper as [25]
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Cites
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The physiology/life-history nexus
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Personality and the emergence of the pace-of-life syndrome concept at the population level
Réale, D., Garant, D., Humphries, M. M., Bergeron, P., Careau, V., & Montiglio, P.-O. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0208 · Cited by 1,446
Energy metabolism and animal personality
Careau, V., Thomas, D. W., Humphries, M. M., & Réale, D. J. F. (2008) · Oikos · doi:10.1111/j.0030-1299.2008.16513.x · Cited by 916
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Honeybees maximize efficiency by not filling their crop
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Research works printed but not linked: 2
- Cassano, 2022, Data from: Metabolic rate shapes differences in foraging efficiency among honeybee foragers, Behav Ecol, 10.1093/beheco/arac090
- Chang, 2021, shiny: Web Application Framework for R. R package version 1.6.0
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Phenomenal interface theory: a model for basal consciousness
Klein, C., & Barron, A. B. (2025) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2024.0301 · Cited by 8
Metadata
- Authors
- Cassano, J., & Naug, D.
- Affiliations
- Colorado State University (US)
- Corresponding author
- Naug, Dhruba
- Venue
- Behavioral Ecology
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-09-28
- Volume
- 33
- Issue
- 6
- Pages
- 1188-1195
- ISSN
- 1045-2249 (ISSN-L)
- 1465-7279
- OpenAlex
- W4297467707
- Cited by
- 9
- References
- 43
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 2 · 2022: 1
- FWCI
- 1.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behavioral Ecology (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Science Foundation
- Foundation for Food and Agriculture Research
- Topics
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Insect and Arachnid Ecology and Behavior
- Physical Sciences › Environmental Science › Ecology › Physiological and biochemical adaptations
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Plant and animal studies
- Keywords
- honey bee foraging, metabolic rate, foraging efficiency, energy efficiency, optimal foraging theory, central place foragers, division of labor, phenotypic diversity, genetic lines, social insects, energy acquisition
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