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Numerical Modelling and Satellite Remote Sensing as Tools for Research and Management of Marine Fishery Resources

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Relation http://eprints.cmfri.org.in/10341/
http://link.springer.com/chapter/10.1007/978-3-319-06326-3_18#
 
Title Numerical Modelling and Satellite Remote
Sensing as Tools for Research
and Management of Marine Fishery
Resources
 
Creator George, Grinson
 
Subject Analytical models
Fisheries Resources
Fisheries Management
Remote sensing
 
Description This chapter outlines the use of modelled and satellite remote sensing (SRS)
data in supporting the research, technology-development and management of marine
fishery resources. The value of such methods used in marine fisheries management is
emphasized. State of art techniques in fisheries resource management utilizing numerical
models, and SRS, separately and jointly, are described here. Numerical models are
useful for studying fish and other aquatic invertebrate larval transport. SRS data are used
to locate fish stocks, locate areas of reef stress and delineate areas of high productivity
in the wake of cyclone paths. Coupling SRS with models helps to manage fishery
resources on an ecosystem scale, generate potential fishing zones (PFZ), forecast ocean
state (OSF), detect meso-scale features such as eddies and track cyclones threatening
coastal resources.Modelled, SRS and in situ data sets in combination can be used in the
estimation of potential fishery resources in the exclusive economic zone (EEZ), which
in turn can help in fishing fleet management.Hence, there is a huge scope for application
of numerical modelling and SRS in marine fisheries research and management.
 
Publisher Springer
 
Contributor Finkl, Charles W
Makowski, Christopher
 
Date 2014
 
Type Book Section
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://eprints.cmfri.org.in/10341/1/JCR_Grinson_George_Numerical_Modelling.pdf
George, Grinson (2014) Numerical Modelling and Satellite Remote Sensing as Tools for Research and Management of Marine Fishery Resources. In: Remote Sensing and Modeling: Advances in Coastal and Marine Resources. Coastal Research Library, 9 . Springer, pp. 431-452. ISBN 978-3-319-06326-3