FN Archimer Export Format
PT J
TI Stock assessment on fishery‐dependent data: Effect of data quality and parametrisation for a red snapper fishery
BT 
AF Tagliarolo, Morgana
   Cope, Jason
   Blanchard, Fabian
AS 1:1;2:2;3:1;
FF 1:PDG-RBE-BIODIVHAL;2:;3:PDG-RBE-BIODIVHAL;
C1 French Guiana, UMSR LEEISA (CNRS, UG, Ifremer) Cayenne ,France
   Fisheries Resource Assessment and Monitoring Division, Northwest Fisheries Science Center National Marine Fisheries Service (NOAA) Seattle WA ,USA
C2 IFREMER, FRANCE
   NOAA, USA
SI GUYANE
SE PDG-RBE-BIODIVHAL
UM LEEISA
IN WOS Ifremer UMR
   copubli-int-hors-europe
IF 2.088
TC 2
UR https://archimer.ifremer.fr/doc/00722/83433/88676.pdf
LA English
DT Article
DE ;data-limited;French Guiana;Lutjanus purpureus;stock synthesis
AB Data availability, and unreported and unregulated fishing are significant obstacles to evaluating stock status, especially in tropical areas. Limitations in data quantity and quality can lead to model misspecification and erroneous data treatments, potentially causing important changes in model outputs and subsequent management implications. Red snapper Lutjanus purpureus (Poey) in French Guiana provides an example of a stock with a long-time series of fishery-dependent data subject to large uncertainty. A flexible catch-at-age model (Stock Synthesis) was applied to the available data and compared to an historically applied assessment approach. Inter-model variability based on different model specifications and data treatments were compared to identify better the status of the resource. Results showed that a major source of uncertainty in the model was the inclusion of a catch-per-unit-effort abundance index with questionable ability to track abundance. The Stock Synthesis model provided a more flexible and viable method than the virtual population analysis approach. Despite large uncertainty, models depicted a similar trend with a notable stock depletion in the late 1990s but with two distinct biomass trends in more recent years depending on the treatment. To reduce uncertainty and preserve this important economic resource, new data collection programmes and management policies are needed. 
PY 2021
PD DEC
SO Fisheries Management And Ecology
SN 0969-997X
PU Wiley
VL 28
IS 6
UT 000695091200001
BP 592
EP 603
DI 10.1111/fme.12508
ID 83433
ER

EF