Open AccessLife history and demographic determinants of effective/census size ratios as exemplified by brown trout ( Salmo trutta )
Author(s) -
Serbezov Dimitar,
Jorde Per Erik,
Bernatchez Louis,
Olsen Esben Moland,
Vøllestad Leif Asbjørn
Publication year - 2012
Publication title -
evolutionary applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.776
H-Index - 68
ISSN - 1752-4571
DOI - 10.1111/j.1752-4571.2012.00239.x
Subject(s) - salmo , brown trout , biology , fecundity , effective population size , semelparity and iteroparity , inbreeding , population , census , reproductive success , demography , ecology , reproduction , fishery , genetic variation , fish <actinopterygii> , sociology
Abstract A number of demographic factors, many of which related to human‐driven encroachments, are predicted to decrease the effective population size ( N e ) relative to the census population size ( N ), but these have been little investigated. Yet, it is necessary to know which factors most strongly impact N e , and how to mitigate these effects through sound management actions. In this study, we use parentage analysis of a stream‐living brown trout ( Salmo trutta ) population to quantify the effect of between‐individual variance in reproductive success on the effective number of breeders ( N b ) relative to the census number of breeders ( N i ). Comprehensive estimates of the N b /N ratio were reduced to 0.16–0.28, almost entirely due to larger than binomial variance in family size. We used computer simulations, based on empirical estimates of age‐specific survival and fecundity rates, to assess the effect of repeat spawning (iteroparity) on N e and found that the variance in lifetime reproductive success was substantially higher for repeat spawners. Random family‐specific survival, on the other hand, acts to buffer these effects. We discuss the implications of these findings for the management of small populations, where maintaining high and stable levels of N e is crucial to extenuate inbreeding and protect genetic variability.