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-List Of Titles -Effective population size/adult population size ratios in wildlife : a review

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/117511

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Title
Effective population size/adult population size ratios in wildlife : a review
Related
Genetics research, Vol. 89, No. 5-6 (2007), p.491-503
Publisher
Cambridge University Press
Date
2007
Author/Creator
Frankham, Richard
Description
This is a re-publication, as a citation classic, of a paper published in Genetical Research (precursor of Genetics Research) in 1995. The effective population size is required to predict the rate of inbreeding and loss of genetic variation in wildlife. Since only census population size is normally available, it is critical to know the ratio of effective to actual population size (Ne/N). Published estimates of Ne/N (192 from 102 species) were analysed to identify major variables affecting the ratio, and to obtain a comprehensive estimate of the ratio with all relevant variables included. The five most important variables explaining variation among estimates, in order of importance, were fluctuation in population size, variance in family size, form of N used (adults v. breeders v. total size), taxonomic group and unequal sex-ratio. There were no significant effects on the ratio of high v. low fecundity, demographic v. genetic methods of estimation, or of overlapping v. non-overlapping generations when the same variables were included in estimates. Comprehensive estimates of Ne/N (that included the effects of fluctuation in population size, variance in family size and unequal sex-ratio) averaged only 0.10-0.11. Wildlife populations have much smaller effective population sizes than previously recognized.
Description
13 page(s)
Resource Type
journal article
Organisation
Macquarie University. Dept. of Biological Sciences

Identifier
http://hdl.handle.net/1959.14/117511
Identifier
ISSN:0016-6723
Identifier
mq-rm-2008990329
Language
eng
Reviewed
Reviewed
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Genetics research"
 
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