A mechanistic model of how metabolic rate can interact with resource environment to influence foraging success and lifespan
Keziah Katz and
Dhruba Naug
Ecological Modelling, 2020, vol. 416, issue C
Abstract:
Metabolic rate, the biological rate of energy processing, is often considered to be the fundamental determinant of pace of life in biological systems. Assuming foraging performance to be the central link between metabolic rate and pace of life, we modeled the behavior of biological units with different metabolic rate, as foraging groups with or without within-group variation in metabolic rate, in environments of various resource configurations, with or without group-level behaviors such as information sharing and division of labor. Our results show how metabolic rate can interact with the resource environment to produce differences in energy gain and lifespan. The results also suggest that in a group context, rather than the average metabolic rate of the group, it is the composition of the group that matters such that metabolically diverse groups outperform metabolically homogenous groups. With a proposed experimental approach to test these predictions, these findings bring new insights to possible gene environment interactions that may be involved in the evolution of intraspecific differences in metabolic rates and how metabolic diversity may contribute to the evolution of group living.
Keywords: Metabolic rate; Pace of life; Agent based model; Foraging; Group living; Honeybees (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380019304077
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:416:y:2020:i:c:s0304380019304077
DOI: 10.1016/j.ecolmodel.2019.108899
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().