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Trajectories of senescence through Markov models
Author(s)David Steinsaltz, Jim Carey, Martin Kolb
Corporate AuthorNew Dynamics of Ageing Programme - NDA; Department of Sociological Studies, University of Sheffield
PublisherNew Dynamics of Ageing - NDA, Sheffield, 2013
Pages4 pp (NDA Findings 21)
SourceNDA Research Programme, Department of Sociological Studies, University of Sheffield, Elmfield, Northumberland Road, Sheffield S10 2TU. www.newdynamics.group.shef.ac.uk Download:
KeywordsBiological ageing ; Physical environment ; Mathematical models ; Projects ; Research Reviews.
AnnotationAgeing is a process that occurs on many scales: time scales, ranging from the millisecond rate of DNA transcription and duplication, to the megayear rate of evolution; and size scales, from molecules through cells, tissues, organs, organisms, and populations. These findings outline a project aimed at developing statistical and mathematical techniques to bridge the gaps between some of these scales, combining instantaneous behaviour measures in flies with survival information to understand the trajectories of senescence; combining age-specific survival and reproductive success for wild populations with random environmental change and evolutionary tends; and exploring the link between models of organism vitality as it develops over a lifetime and the "plateaux" in mortality rate that are seen in the oldest old across a wide range of species, where the increasing frailty with age seems to slow down or even stop. The result is a formula for computing the sensitivity of population growth in age-structured natural populations to environmental changes. This has practical implications for studying ecological responses to climate change and other environmental shifts, and theoretical implications for the evolution of ageing. (RH).
Accession NumberCPA-160429004 P
ClassmarkBH: R: 3LM: 3E: 3A:6KC *

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