Satellite remote sensing for an ecosystem approach to fisheries management
Author(s) -
Emmanuel Chassot,
Sylvain Bonhommeau,
Gabriel Reygondeau,
Karen Nieto,
Jeffrey J. Polovina,
Martin Huret,
Nicholas K. Dulvy,
Hervé Demarcq
Publication year - 2011
Publication title -
ices journal of marine science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.348
H-Index - 117
eISSN - 1095-9289
pISSN - 1054-3139
DOI - 10.1093/icesjms/fsq195
Subject(s) - context (archaeology) , marine ecosystem , fisheries management , ecosystem , environmental science , environmental resource management , fisheries science , remote sensing , marine conservation , ecosystem based management , geography , fishery , ecology , fishing , archaeology , biology
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 constitute a major data source for the incorporation of 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 are first 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. Second, we provide 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. Third, we emphasize how synoptic and information-rich SRS data have become instrumental in ecological analyses at community and ecosystem scales. Finally, we demonstrate how SRS data, in conjunction with automated in situ data-acquisition systems, provide the scientific community with a major source of information for ecosystem modelling, a key tool for implementing an ecosystem approach to fisheries management
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