FN Archimer Export Format
PT J
TI A method to address the non-random spatial distribution of on-board observer data to map landings and discards
BT 
AF POINTIN, Fabien
   CORNOU, Anne-Sophie
   PROD'HOMME, Romain
   TAUPIN, Nicolas
   ROCHET, Marie-Joelle
AS 1:1,2;2:1;3:1;4:3;5:1;
FF 1:;2:PDG-RBE-EMH;3:PDG-RBE-EMH;4:PDG-RBE-EMH;5:PDG-RBE-EMH;
C1 IFREMER, EMH, Rue Ile Yeu,BP 21105, F-44311 Nantes 03, France.
   SINAY Co, Consulting Off, 117 Cours Caffarelli, F-14000 Caen, France.
   Ecole Cent Nantes, LHEEA, CNRS UMR 6598, BP 92101, F-44321 Nantes 3, France.
C2 IFREMER, FRANCE
   SINAY CO, FRANCE
   ECOLE CENT NANTES, FRANCE
SI NANTES
SE PDG-RBE-EMH
IN WOS Ifremer jusqu'en 2018
   copubli-france
IF 2.343
TC 5
UR https://archimer.ifremer.fr/doc/00409/52021/52856.pdf
LA English
DT Article
DE ;Landings;Discards;On-board observer data;Nested grid;Fishing metier
AB he Landing Obligation is legislation meant to gradually reduce discards in European fisheries from 2015. Identifying spatial patterns of landings and discards is an important element in mitigating the effects of this legislation on fishing activity. On-board observer data have already been used to address this issue based on models involving statistical assumptions in relation to the non-random spatial distribution of data, which may cause errors in the parameters of interest. An alternative non-model-based mapping method using nested grids is applied to explore the spatial distribution of landings and discards for two French fishing métiers in the Celtic Sea and western English Channel from 2011 to 2016. The grid fineness and the estimate precision are found to depend mainly on the density and variability of on-board observer data. Moreover, an extensive coverage of fishing activity in space and time, and of all fishing vessels, is required to produce meaningful maps. 
PY 2018
PD MAR
SO Fisheries Research
SN 0165-7836
PU Elsevier Science Bv
VL 199
UT 000423638800027
BP 242
EP 251
DI 10.1016/j.fishres.2017.10.023
ID 52021
ER

EF