FN Archimer Export Format
PT J
TI From model-based prescriptive advice to indicator-based interactive advice
BT 
AF TRENKEL, Verena
   ROCHET, Marie-Joelle
   MESNIL, Benoit
AS 1:1;2:1;3:1;
FF 1:PDG-DOP-DCN-EMH;2:PDG-DOP-DCN-EMH;3:PDG-DOP-DCN-EMH;
C1 IFREMER, Dept EMH, F-44311 Nantes 3, France.
C2 IFREMER, FRANCE
SI NANTES
SE PDG-DOP-DCN-EMH
IN WOS Ifremer jusqu'en 2018
IF 1.934
TC 36
UR https://archimer.ifremer.fr/doc/2007/publication-2619.pdf
LA English
DT Article
CR EVHOE 2000
   EVHOE 2001
   EVHOE 2002
   EVHOE 2003
   EVHOE 2004
   EVHOE 871
   EVHOE 882
   EVHOE 883
   EVHOE 894
   EVHOE 905
   EVHOE 916
   EVHOE 927
   EVHOE 948
   EVHOE 959
   EVHOE 97
   EVHOE 98
   EVHOE 99
BO Thalassa
DE ;scientific advice;indicators;fisheries management
AB Traditional advice for fisheries management, especially in the ICES world, focuses on short-term stock projections relative to reference points. Primarily, two numbers, spawning-stock biomass and fishing mortality rate, are considered in the advice, although a range of biological processes are included in the stock assessment models. We propose an alternative form of final advice that would not rely on stock predictions and only two numbers, but on a suite of indicators that are combined to provide stock assessment and management advice. For a single stock, the approach consists of monitoring a set of indicators of population state and fishing pressure. Stock reference status at some time in the past is assessed, based on these indicators and/or other available information. Changes in indicator values after this reference time are then estimated, interpreted, and finally combined into a diagnostic that highlights possible causes of the changes observed. After considering management objectives, appropriate management actions can then be proposed. The proposed approach is illustrated for anglerfish stocks in the Celtic Sea and the Bay of Biscay. 
PY 2007
PD MAY
SO ICES Journal of Marine Science
SN 1054-3139
PU Oxford university press
VL 64
IS 4
UT 000247894900031
BP 768
EP 774
DI 10.1093/icesjms/fsm006
ID 2619
ER

EF