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Allometric Scaling of Metabolism, Growth, and Activity in Whole Colonies of the Seed‐Harvester Ant Pogonomyrmex californicus

James S. Waters, C. Tate Holbrook, Jennifer H. Fewell and Jon F. Harrison
The American Naturalist
Vol. 176, No. 4 (October 2010), pp. 501-510
DOI: 10.1086/656266
Stable URL: http://www.jstor.org/stable/10.1086/656266
Page Count: 10
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Allometric Scaling of Metabolism, Growth, and Activity in Whole Colonies of the Seed‐Harvester Ant Pogonomyrmex californicus
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Abstract

Abstract: The negative allometric scaling of metabolic rate with body size is among the most striking patterns in biology. We investigated whether this pattern extends to physically independent eusocial systems by measuring the metabolic rates of whole functioning colonies of the seed‐harvester ant Pogonomyrmex californicus. These intraspecific scaling data were compared to the predictions of an additive model developed to estimate collective metabolic rates. Contrary to the prediction of the additive model, colony metabolic rate allometry resembled the pattern commonly observed interspecifically for individual organisms, scaling with colony mass0.75. Among the same‐aged colonies, net growth rate varied by up to sevenfold, with larger colonies exhibiting higher net growth efficiency than smaller colonies. Isolated worker groups exhibited isometric metabolic rate scaling, suggesting that the social environment of the colony is critical to regulating individual patterns of work output. Within the social environment, individual worker locomotor velocities exhibited power‐law distributions that scaled with colony size so that larger colonies exhibited a greater disparity between active and inactive ants than did smaller colonies. These results demonstrate that behavioral organization within colonies may have a major influence on colony‐level metabolism and in generating intraspecific variation in growth trajectories.

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