FN Archimer Export Format
PT J
TI A random effects population dynamics model based on proportions-at-age and removal data for estimating total mortality
BT
AF TRENKEL, Verena
BRAVINGTON, Mark V.
LORANCE, Pascal
AS 1:1;2:2;3:1;
FF 1:PDG-RBE-EMH;2:;3:PDG-RBE-EMH;
AF TRENKEL, Verena
BRAVINGTON, Mark V.
LORANCE, Pascal
C1 IFREMER, F-44311 Nantes 3, France.
CSIRO, Hobart, Tas, Australia.
C2 IFREMER, FRANCE
CSIRO, AUSTRALIA
SI NANTES
SI NANTES
SE PDG-RBE-EMH
SE PDG-RBE-EMH
IF 2.32
TC 6
UR https://archimer.ifremer.fr/doc/00130/24168/22506.pdf
LA English
DT Article
AB Catch curves are widely used to estimate total mortality for exploited marine populations. The usual population dynamics model assumes constant recruitment across years and constant total mortality. We extend this to include annual recruitment and annual total mortality. Recruitment is treated as an uncorrelated random effect, while total mortality is modelled by a random walk. Data requirements are minimal as only proportions-at-age and total catches are needed. We obtain the effective sample size for aggregated proportion-at-age data based on fitting Dirichlet-multinomial distributions to the raw sampling data. Parameter estimation is carried out by approximate likelihood. We use simulations to study parameter estimability and estimation bias of four model versions, including models treating mortality as fixed effects and misspecified models. All model versions were, in general, estimable, though for certain parameter values or replicate runs they were not. Relative estimation bias of final year total mortalities and depletion rates were lower for the proposed random effects model compared with the fixed effects version for total mortality. The model is demonstrated for the case of blue ling (Molva dypterygia) to the west of the British Isles for the period 1988 to 2011.
PY 2012
PD NOV
SO Canadian Journal Of Fisheries And Aquatic Sciences
SN 0706-652X
PU Canadian Science Publishing, Nrc Research Press
VL 69
IS 11
UT 000311209800014
BP 1881
EP 1893
DI 10.1139/f2012-103
ID 24168
ER
EF