|Author(s)||Chassot Emmanuel1, Bonhommeau Sylvain1, Reygondeau Gabriel1, Nieto Karen1, 2, Polovina Jeffrey J.3, Huret Martin4, Dulvy Nicholas K.5, Demarcq Herve1|
|Affiliation(s)||1 : IRD IFREMER UM2, Ctr Rech Halieut Mediterraneenne & Trop, UMR EME 212, F-34200 Sete, France.
2 : NOAA Fisheries, SW Fisheries Sci Ctr, La Jolla, CA 92037 USA.
3 : NOAA Fisheries, Pacific Isl Fisheries Sci Ctr, Honolulu, HI 96822 USA.
4 : IFREMER, Dept Ecol & Modeles Halieut, F-44311 Nantes 03, France.
5 : Simon Fraser Univ, Dept Biol Sci, Earth Ocean Res Grp, Burnaby, BC V5A 1S6, Canada.
|Source||Ices Journal Of Marine Science (1054-3139) (Oxford Univ Press), 2011-03 , Vol. 68 , N. 4 , P. 651-666|
|WOS© Times Cited||45|
|Keyword(s)||ecosystem approach, fisheries, mesoscale, satellite, tracking|
|Abstract||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.|
Chassot Emmanuel, Bonhommeau Sylvain, Reygondeau Gabriel, Nieto Karen, Polovina Jeffrey J., Huret Martin, Dulvy Nicholas K., Demarcq Herve (2011). Satellite remote sensing for an ecosystem approach to fisheries management. Ices Journal Of Marine Science, 68(4), 651-666. Publisher's official version : https://doi.org/10.1093/icesjms/fsq195 , Open Access version : https://archimer.ifremer.fr/doc/00031/14188/