dc.contributor.author |
Calduch-Verdiell, N |
|
dc.contributor.author |
MacKenzie, BR |
|
dc.contributor.author |
Vaupel, JW |
|
dc.contributor.author |
Andersen, KH |
|
dc.date.accessioned |
2017-06-01T19:42:35Z |
|
dc.date.available |
2017-06-01T19:42:35Z |
|
dc.date.issued |
2014-01-01 |
|
dc.identifier.issn |
0706-652X |
|
dc.identifier.uri |
https://hdl.handle.net/10161/14697 |
|
dc.description.abstract |
Fishing causes dramatic changes in the age and size structure of fish stocks. In particular,
the targeting of the largest and oldest individuals in a stock changes the age and
size distribution of that stock. A large female produces a higher quantity of eggs
than a young female because of its larger size, but recent laboratory evidence further
indicates that large females also produce eggs of higher quality, a phenomenon known
as maternal effects. However, most traditional management models assume that all female
fish contribute equally per unit biomass to future recruitment. Here we investigate
whether this assumption is valid by calculating the impact of maternal effects both
before and after accounting for density-dependent effects. We find that the contribution
of large individuals to reproduction is much more pronounced for unfished than for
fished stocks. Fisheries reference points are largely unaffected by maternal effects.
Our results indicate that the incorporation of maternal effects into impact assessments
of fisheries is not expected to change advice substantially. Important exceptions
are stocks whose demography is very vulnerable to fishing (and which therefore have
low fishing reference points) for which maternal effects are relevant and necessary
to consider. © 2014 Published by NRC Research Press.
|
|
dc.publisher |
Canadian Science Publishing |
|
dc.relation.ispartof |
Canadian Journal of Fisheries and Aquatic Sciences |
|
dc.relation.isversionof |
10.1139/cjfas-2014-0034 |
|
dc.title |
A life-history evaluation of the impact of maternal effects on recruitment and fisheries
reference points
|
|
dc.type |
Journal article |
|
duke.contributor.id |
Vaupel, JW|0098196 |
|
pubs.begin-page |
1113 |
|
pubs.end-page |
1120 |
|
pubs.issue |
7 |
|
pubs.organisational-group |
Center for Population Health & Aging |
|
pubs.organisational-group |
Duke |
|
pubs.organisational-group |
Duke Population Research Institute |
|
pubs.organisational-group |
Sanford School of Public Policy |
|
pubs.publication-status |
Published |
|
pubs.volume |
71 |
|
dc.identifier.eissn |
1205-7533 |
|