FN Archimer Export Format
PT J
TI Satellite remote sensing for an ecosystem approach to fisheries management
BT 
AF CHASSOT, Emmanuel
   BONHOMMEAU, Sylvain
   REYGONDEAU, Gabriel
   NIETO, Karen
   POLOVINA, Jeffrey J.
   HURET, Martin
   DULVY, Nicholas K.
   DEMARCQ, Herve
AS 1:1;2:1;3:1;4:1,2;5:3;6:4;7:5;8:1;
FF 1:;2:PDG-RBE-HMT-RHSETE;3:;4:;5:;6:PDG-RBE-EMH;7:;8:;
C1 IRD IFREMER UM2, Ctr Rech Halieut Mediterraneenne & Trop, UMR EME 212, F-34200 Sete, France.
   NOAA Fisheries, SW Fisheries Sci Ctr, La Jolla, CA 92037 USA.
   NOAA Fisheries, Pacific Isl Fisheries Sci Ctr, Honolulu, HI 96822 USA.
   IFREMER, Dept Ecol & Modeles Halieut, F-44311 Nantes 03, France.
   Simon Fraser Univ, Dept Biol Sci, Earth Ocean Res Grp, Burnaby, BC V5A 1S6, Canada.
C2 IRD, FRANCE
   NOAA, USA
   NOAA, USA
   IFREMER, FRANCE
   UNIV SIMON FRASER, CANADA
SI SETE
   NANTES
SE IRD
   PDG-RBE-HMT-RHSETE
   PDG-RBE-EMH
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-p187
   copubli-int-hors-europe
IF 2.007
TC 84
UR https://archimer.ifremer.fr/doc/00031/14188/11468.pdf
LA English
DT Article
DE ;ecosystem approach;fisheries;mesoscale;satellite;tracking
AB Satellite remote sensing (SRS) of the marine environment has become instrumental in ecology for environmental monitoring and impact assessment, and it is a promising tool for conservation issues. In the context of an ecosystem approach to fisheries management (EAFM), global, daily, systematic, high-resolution images obtained from satellites provide a good data source for incorporating habitat considerations into marine fish population dynamics. An overview of the most common SRS datasets available to fishery scientists and state-of-the-art data-processing methods is presented, focusing on recently developed techniques for detecting mesoscale features such as eddies, fronts, filaments, and river plumes of major importance in productivity enhancement and associated fish aggregation. A comprehensive review of remotely sensed data applications in fisheries over the past three decades for investigating the relationships between oceanographic conditions and marine resources is provided, emphasizing how synoptic and information-rich SRS data have become instrumental in ecological analyses at community and ecosystem scales. Finally, SRS data, in conjunction with automated in situ data-acquisition systems, can provide the scientific community with a major source of information for ecosystem modelling, a key tool for implementing an EAFM.
PY 2011
PD MAR
SO Ices Journal Of Marine Science
SN 1054-3139
PU Oxford Univ Press
VL 68
IS 4
UT 000287495200004
BP 651
EP 666
DI 10.1093/icesjms/fsq195
ID 14188
ER

EF