1995
DOI: 10.1086/285732
|View full text |Cite
|
Sign up to set email alerts
|

First-Cohort Advantage Hypothesis: A New Twist on Facultative Sex Ratio Adjustment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

3
23
3

Year Published

2002
2002
2020
2020

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 33 publications
(29 citation statements)
references
References 11 publications
3
23
3
Order By: Relevance
“…For example, in birds and mammals, seasonal sex ratio patterns can reflect conditional sex allocation when birth date differentially affects the reproductive success of the sexes (for example, if earlier born sons are superior 18 or mature sooner 19 ). For these models to apply to our system, however, all individuals born in spring and autumn would have to compete for the same set of mates at some point in the future.…”
Section: Discussionmentioning
confidence: 99%
“…For example, in birds and mammals, seasonal sex ratio patterns can reflect conditional sex allocation when birth date differentially affects the reproductive success of the sexes (for example, if earlier born sons are superior 18 or mature sooner 19 ). For these models to apply to our system, however, all individuals born in spring and autumn would have to compete for the same set of mates at some point in the future.…”
Section: Discussionmentioning
confidence: 99%
“…This is true in Virginia Opossums (Didelphis virginiana: Wright et al 1995), Meadow Voles (Microtus pennsylvanicus: Dobson and Myers 1989), and Gray-tailed Voles (Microtus canicaudus: Bond et al 2003), and this pattern has been termed the first-cohort advantage hypothesis (Wright et al 1995). In Virginia Opossums, females had more male-biased first litters than second litters, possibly due to the increased reproductive fitness of males born earlier (Wright et al 1995). Additionally, in Meadow Voles, more male-biased litters were born earlier in the season than later, corresponding to a similar pattern in litter size, which also declined as the season progressed (Dobson and Myers 1989).…”
Section: Discussionmentioning
confidence: 94%
“…We expect that in species that have a much longer birthing period or multiple litters within a year, seasonal sex ratio biases would be more prominent. This is true in Virginia Opossums (Didelphis virginiana: Wright et al 1995), Meadow Voles (Microtus pennsylvanicus: Dobson and Myers 1989), and Gray-tailed Voles (Microtus canicaudus: Bond et al 2003), and this pattern has been termed the first-cohort advantage hypothesis (Wright et al 1995). In Virginia Opossums, females had more male-biased first litters than second litters, possibly due to the increased reproductive fitness of males born earlier (Wright et al 1995).…”
Section: Discussionmentioning
confidence: 98%
“…Studies on vertebrates have demonstrated sex differences in the effect of birth date on fertility (Conover, 1984), age at maturity (Daan et al, 1996), and in mating success because of intrasexual selection (Wright et al, 1995;Smallwood and Smallwood, 1998). Similarly, a sex difference in the timing of arrival to breeding sites such as PAT should arise when the relationship between timing and reproductive success varies with sex.…”
Section: Discussionmentioning
confidence: 99%
“…For example, sex differences in hatch date distribution have been shown in two ectothermic vertebrates in which there is temperaturedependent sex determination (TSD; Harlow and Taylor, 2000;Conover, 2004). Similarly, the sex ratio of offspring varies with season in some birds and mammals (Dijkstra et al, 1990;Wright et al, 1995;Daan et al, 1996;Smallwood and Smallwood, 1998). Another well-documented pattern of sexual difference in seasonal timing is protandrous arrival timing (PAT, not to be confused with protandry as a form of sequential hermaphroditism), which is early male arrival at breeding sites because of sex differences in the timing of migration or transition to adulthood.…”
mentioning
confidence: 99%