FN Archimer Export Format
PT J
TI Censored catch data in fisheries stock assessment
BT 
AF HAMMOND, T
   TRENKEL, Verena
AS 1:2;2:1;
FF 1:;2:PDG-DOP-DCN-EMH;
C1 IFREMER, Dept EMH, F-44311 Nantes, France.
   9 Grove Street, PO Box 1012, Dartmouth, N.S., Canada, B2Y 3Z7
C2 IFREMER, FRANCE
   9 Grove Street, PO Box 1012, Dartmouth, N.S., Canada, B2Y 3Z7
SI NANTES
SE PDG-DOP-DCN-EMH
IN WOS Ifremer jusqu'en 2018
   copubli-int-hors-europe
IF 1.225
TC 26
UR https://archimer.ifremer.fr/doc/2005/publication-641.pdf
LA English
DT Article
DE ;Stock assessment;Misreporting;Discarding;Censored data
AB Landings statistics can be lower than true catches because many fish are discarded or landed illegally. Since many discards do not survive, treating landings as true catches can lead to biased stock assessments. This paper proposes treating catch as censored by bounding it below by the landings, L, and above by cL (for scalar c > 1), We demonstrate the approach with a simulation study, using a Schaefer surplus production model. Parameters were estimated in a Bayesian framework with BUGS software using two sets of priors. Both the traditional true-catch method and a survey-and-effort method (which was landings free) performed worse on average than the censored approach, as measured by the Bayes risk associated with estimates of maximum sustainable yield (MSY) and of an index of depletion (X). Recursive partitioning (regression trees) was used to associate simulation parameters to best-performing methods, showing that higher commercial fish catchability favoured the censored method at estimating X. In conclusion, censored methods provide a means of dealing with discarding and misreporting that can outperform some traditional alternatives. 
PY 2005
PD SEP
SO ICES Journal of Marine Science
SN 1054-3139
PU Elsevier
VL 62
IS 6
UT 000231917200009
BP 1118
EP 1130
DI 10.1016/j.icesjms.2005.04.015
ID 641
ER

EF