Document Detail


Unifying life-history analyses for inference of fitness and population growth.
MedLine Citation:
PMID:  18500940     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The lifetime fitnesses of individuals comprising a population determine its numerical dynamics, and genetic variation in fitness results in evolutionary change. This dual importance of individual fitness is well understood, but empirical fitness records generally violate the assumptions of standard statistical approaches. This problem has undermined comprehensive study of fitness and impeded empirical synthesis of the numerical and genetic dynamics of populations. Recently developed aster models remedy this problem by explicitly modeling the dependence of later-expressed components of fitness (e.g., fecundity) on those expressed earlier (e.g., survival to reproduce). Moreover, aster models employ different sampling distributions for different components of fitness (e.g., binomial for survival over a given interval and Poisson for fecundity). Analysis is done by maximum likelihood, and the resulting distributions for lifetime fitness closely approximate observed data. We illustrate the breadth of aster models' utility with three examples demonstrating estimation of the finite rate of increase, comparison of mean fitness among genotypic groups, and analysis of phenotypic selection. Aster models offer a unified approach to addressing the breadth of questions in evolution and ecology for which life-history data are gathered.
Authors:
Ruth G Shaw; Charles J Geyer; Stuart Wagenius; Helen H Hangelbroek; Julie R Etterson
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  The American naturalist     Volume:  172     ISSN:  1537-5323     ISO Abbreviation:  Am. Nat.     Publication Date:  2008 Jul 
Date Detail:
Created Date:  2008-06-16     Completed Date:  2008-10-27     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2984688R     Medline TA:  Am Nat     Country:  United States    
Other Details:
Languages:  eng     Pagination:  E35-47     Citation Subset:  IM    
Affiliation:
Department of Ecology, Evolution, and Behavior, Minnesota Center for Community Genetics, University of Minnesota, St. Paul, Minnesota 55108, USA. rshaw@superb.ecology.umn.edu
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MeSH Terms
Descriptor/Qualifier:
Animals
Aphids / physiology*
Chamaecrista / parasitology*
Echinacea / parasitology*
Ecosystem
Host-Parasite Interactions
Longevity
Models, Biological
Population Growth
Reproduction / physiology
Seeds / physiology
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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