dc.contributor.author | Einum, Sigurd | |
dc.date.accessioned | 2017-11-13T13:31:44Z | |
dc.date.available | 2017-11-13T13:31:44Z | |
dc.date.created | 2014-09-25T13:16:01Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | American Naturalist. 2014, 183 (3), 410-417. | nb_NO |
dc.identifier.issn | 0003-0147 | |
dc.identifier.uri | http://hdl.handle.net/11250/2465851 | |
dc.description.abstract | Genetically based variation in metabolic rates of resting animals (RMR) suggests a potential role for evolutionary adaptations, but mechanistic models yielding evolutionary predictions are lacking. Here I utilize the increasingly recognized genetic correlation between RMR and activity metabolism and propose that optimality of the former is simply an outcome of selection on the latter. I develop a model for temporally stable environmental conditions that describes how the rate of acquisition of energy that can be converted into somatic growth and reproductive output can be expressed as a function of activity metabolism. One of the parameters in the model describes how food intake depends on activity and is hence a measure of food abundance. In contrast to the previously proposed hypothesis that individuals with a high RMR are at an advantage when environmental conditions are favorable, the model predicts that the optimal RMR is highest at an intermediate food abundance. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | University of Chicago Press | nb_NO |
dc.title | Ecological modeling of metabolic rates predicts diverging optima across food abundances | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 410-417 | nb_NO |
dc.source.volume | 183 | nb_NO |
dc.source.journal | American Naturalist | nb_NO |
dc.source.issue | 3 | nb_NO |
dc.identifier.doi | 10.1086/674951 | |
dc.identifier.cristin | 1158011 | |
dc.relation.project | Norges forskningsråd: 223257 | nb_NO |
dc.relation.project | Norges forskningsråd: 230482 | nb_NO |
dc.description.localcode | © 2014 by The University of Chicago. All rights reserved. | nb_NO |
cristin.unitcode | 194,66,10,0 | |
cristin.unitname | Institutt for biologi | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |