Substantial intraspecific variation in energy budgets: Biology or artefact?. (4th July 2021)

• Record Type: Journal Article
• Authors: Potter, Tomos; Reznick, David N.; Coulson, Tim
• Is Part Of: Functional ecology. Volume 35:Number 8(2021)
• Page Start: 1693
• Page End: 1707
• Publication Date: 2021-07-04
• Subjects: dynamic energy budget theory -- ecotypes -- life‐history evolution -- metabolic rate -- Poecilia reticulata -- resource allocation; Ecology -- Periodicals; 574.505
• DOI: 10.1111/1365-2435.13847
• Languages: English
• ISSNs: 0269-8463

Abstract

Abstract: Dynamic energy budget (DEB) theory provides a model of the intrinsic energetic trade‐offs that shape life histories, in terms of fluxes of energy through biological processes. In these models, life histories are a function of environmental conditions and of fundamental traits of the organism relating to the acquisition, allocation and use of energy. These traits are described by the parameters of the DEB model, which are typically estimated from multiple data sources. DEB parameters have been estimated for over 2, 500 species, and recent work has aimed to compare species on the basis of differences in parameter values. However, little is known about intraspecific variation in DEB parameters, and the reliability of comparisons between parameter sets is rarely tested. We estimated DEB parameters for 16 populations of Trinidadian guppy. Our objectives were to determine whether DEB theory could characterise known life‐history differences between populations, and to assess whether differences in parameter values between populations were reliable indicators of biological differences. We found substantial intraspecific variation in parameter values. The models accurately reproduced biological processes, and also predicted differences in resource allocation and metabolic rate consistent with known life‐history differences among these populations. However, parameter estimates varied substantially as an artefact of the amount and types of data used to fit the models. This bias appeared to be systematic, influencing estimates for multiple populations in a comparable fashion. We show that similar patterns of growth and reproduction can be reproduced with very different parameter sets. Our results imply that comparisons of DEB parameters between models fit with different types of data may reflect artefactual rather than biological differences. A free Plain Language Summary can be found within the Supporting Information of this article. Abstract : A free Plain Language Summary can be found within the Supporting Information of this article.