Consumer Life History and Demography in Dynamic Environments

atmire.migration.oldid2717
dc.contributor.advisorMcCauley, Edward
dc.contributor.advisorRogers, Sean
dc.contributor.authorRichard, Romain
dc.date.accessioned2014-09-30T22:30:51Z
dc.date.available2014-11-17T08:00:52Z
dc.date.issued2014-09-30
dc.date.submitted2014en
dc.description.abstractIndividual demographic performance is the outcome of a complex interaction between a set of physiological rules predetermined at a genetic level, the individual, and a particular context, the environment. Both are highly dynamical entities. The environment varies in response to many deterministic and stochastic forces, and individuals respond to their environment as a function of their own internal conditions. My thesis combines empirical and theoretical works on consumer-resource systems in order to study how genetic and environmental factors interact to generate patterns of phenotypic expression and assess their effects on resulting ecological and evolutionary dynamics. I first present methods for carrying out sensitivity analysis of dynamic energy budget models. These techniques are then used to study how the feedback loop between consumer and resource dynamics affects individual life-history and emerging demographical patterns. Thirdly, I present the results of large manipulative experiments on Daphnia-algae systems aiming at characterizing how the combined effect of genetic variation and environmental fluctuations affect the population demographic patterns and their underlying energetic basis. The genomic response of individuals was further characterized through microarray experiments. Finally, I integrate some of these results within a simplified model framework to draw general implications for the dynamics of ecological systems. Sensitivity analysis reveals that including the effect of the environmental feedback drastically alters the predictions that are made on the patterns of expression in individual life history, and tends to buffer genotypic variation. Experimentations decouple this environmental feedback to reveal that the demography of the different clones is impacted in a different way by environmental food fluctuations. This result arises because the relation between individual energetics and food density is qualitatively affected by dynamic variation in the food environment. The genomic analysis supports these results and also emphasizes the importance of consumer-resource interactions for the functioning of biological organisms, as up to 84% of the Daphnia genome was found to respond to variation in food conditions. All the results of this thesis converge to highlight the fact that dynamical aspects in the environment significantly affect patterns of genetic expression at both the individual and population level.en_US
dc.identifier.citationRichard, R. (2014). Consumer Life History and Demography in Dynamic Environments (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25433en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25433
dc.identifier.urihttp://hdl.handle.net/11023/1898
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEcology
dc.subject.classificationPopulation dynamicsen_US
dc.subject.classificationlife historyen_US
dc.subject.classificationphysiological ecologyen_US
dc.subject.classificationindividual energeticsen_US
dc.subject.classificationnatural selectionen_US
dc.subject.classificationfluctuating environmentsen_US
dc.subject.classificationconsumer-resource interactionsen_US
dc.titleConsumer Life History and Demography in Dynamic Environments
dc.typedoctoral thesis
thesis.degree.disciplineBiological Sciences
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
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