FN Archimer Export Format
PT J
TI Modelling the effects of fishing on the North Sea fish community size composition
BT 
AF SPEIRS, Douglas C.
   GREENSTREET, Simon P. R.
   HEATH, Michael R.
AS 1:1;2:2;3:1;
FF 1:;2:;3:;
C1 Univ Strathclyde, Dept Math & Stat, Glasgow G1 1XH, Lanark, Scotland.
   Marine Lab, Marine Scotland Sci, POB 101,375 Victoria Rd, Aberdeen AB11 9DB, Scotland.
C2 UNIV STRATHCLYDE, UK
   MARINE SCOTLAND SCI (NRL), UK
IF 2.363
TC 11
UR https://archimer.ifremer.fr/doc/00332/44355/43954.pdf
LA English
DT Article
CR IBTS INTERNATIONAL BOTTOM TRAWL SURVEY (IBTS),
DE ;Length-structured population model;Multi-species model;North Sea;Fisheries;Ecosystem-based management;Large fish indicator (LFI)
AB Ecosystem-based management of the North Sea demersal fish community uses the large fish indicator (LFI), defined as the proportion by weight of fish caught in the International Bottom Trawl Survey (IBTS) exceeding a length of 40 cm. Current values of the LFI are similar to 0.15, but the European Union (EU) Marine Strategy Framework Directive (MSFD) requires a value of 0.3 be reached by 2020. An LFI calculated from an eight-species subset correlated closely with the full community LFI, thereby permitting an exploration of the effects of various fishing scenarios on projected values of the LFI using an extension of a previously published multi-species length-structured model that included these key species. The model replicated historical changes in biomass and size composition of individual species, and generated an LFI that was significantly correlated with observations. A community-wide reduction in fishing mortality of 60% from 2008 values was necessary to meet the LFI target, driven mainly by changes in cod and saithe. A 70% reduction in cod fishing mortality alone, or a 75% reduction in otter trawl effort, was also sufficient to achieve the target, Reductions in fishing mortality necessary to achieve maximum sustainable harvesting rates are projected to result in the LFI over-shooting its target.
PY 2016
PD FEB
SO Ecological Modelling
SN 0304-3800
PU Elsevier Science Bv
VL 321
UT 000368866600004
BP 35
EP 45
DI 10.1016/j.ecolmodel.2015.10.032
ID 44355
ER

EF