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dc.contributor.authorHenshaw, Jonathan M.
dc.contributor.authorMorrissey, Michael B.
dc.contributor.authorJones, Adam G.
dc.identifier.citationHenshaw , J M , Morrissey , M B & Jones , A G 2020 , ' Quantifying the causal pathways contributing to natural selection ' , Evolution , vol. Early View .
dc.identifier.otherPURE: 270419073
dc.identifier.otherPURE UUID: 282c62af-f52e-4609-a10a-b56c2adec8d0
dc.identifier.otherRIS: urn:8757E3B50D051E94C8ECB9969CE436F3
dc.descriptionFunding: MBM is supported by a University Research Fellowship from the Royal Society (London). Open access funding enabled and organized by Projekt DEAL.en
dc.description.abstractThe consequences of natural selection can be understood from a purely statistical perspective. In contrast, an explicitly causal approach is required to understand why trait values covary with fitness. In particular, key evolutionary constructs like sexual selection, fecundity selection, and so on, are best understood as selection via particular fitness components. To formalise and operationalise these concepts, we must disentangle the various causal pathways contributing to selection. Such decompositions are currently only known for linear models, where they are sometimes referred to as ‘Wright's rules’. Here, we provide a general framework, based on path analysis, for partitioning selection among its contributing causal pathways. We show how the extended selection gradient – which represents selection arising from a trait's causal effects on fitness – can be decomposed into path‐specific selection gradients, which correspond to distinct causal mechanisms of selection. This framework allows for non‐linear effects and non‐additive interactions among variables, which may be estimated using standard statistical methods (e.g. generalized linear (mixed) models or generalized additive models). We thus provide a generalisation of Wright's path rules that accommodates the non‐linear and non‐additive mechanisms by which natural selection commonly arises.
dc.rightsCopyright © 2020 The Authors. Evolution published by Wiley Periodicals LLC on behalf of The Society for the Study of Evolution. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en
dc.subjectCausal derivativeen
dc.subjectPath analysisen
dc.subjectStructural equation modelling (SEM)en
dc.subjectQH301 Biologyen
dc.titleQuantifying the causal pathways contributing to natural selectionen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Centre for Biological Diversityen
dc.description.statusPeer revieweden

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