title: Measurement of concurrent selection episodes.
abstract: Current methods for measuring selection with longitudinal data have been developed with the assumption that episodes of selection are sequential. However, a number of empirical examinations have demonstrated that natural and sexual selection may act concurrently and in opposing directions. Other recent work has highlighted the difficulty of assigning fitness values for survival when reproduction and mortality within a population temporally overlap. I treat these as facets of a single problem; how to analyze selection where mortality and reproduction are concurrent. To address this problem, I formalize a method to estimate total fitness of individuals over a period of time utilizing longitudinal data. I then show how the fitness may be partitioned to provide two separate estimates of fitness for reproductive opportunity and reproductive success. In addition, another total fitness estimate for the period can be obtained from the two partitioned estimates. This procedure will allow calculation of total fitness where there are some missing datapoints for reproductive success of an individual. A simulation indicates that bias is generally low for the various fitness estimates. These methods should expand our ability to understand the interaction of different selection episodes.
authors.affiliation: School of Aquatic and Fisheries Sciences, University of Washington, Box 355020, Seattle, Washington 98195-5020, USA. troy_hamon@nps.gov
authors.forename: Troy R
authors.initials: TR
authors.lastname: Hamon
mesh_terms: D015982:Bias; D005075:Biological Evolution; D008137:Longitudinal Studies; D008962:Models, Theoretical; D009026:Mortality; D012098:Reproduction / Q000235:genetics; D012641:Selection, Genetic; D012737:Sex Factors