NISCAIR Online Periodicals Repository

Research Journals >
Indian Journal of Geo-Marine Sciences (IJMS) >
IJMS Vol.35 [2006] >
IJMS Vol.35(3) [September 2006] >

Title: A stochastic model to analyse pelagic fishery resource dominance along the Karnataka coast (west coast of India)
Authors: Kuriakose, Somy
Mini, K.G.
Keywords: Stochastic model
Markov chain model
Transition probability matrix
Pelagic fishery
Issue Date: Sep-2006
Publisher: CSIR
Abstract: Stochastic models are appropriate for the study of dynamics of fishery and prominent among them are Markov chain models. In this study, the dynamics of the pelagic fishery resource assemblage along the Karnataka coast is analyzed with reference to the change in resource composition and relative dominance using Markov chain. The transition probabilities of the species dominance with respect to four dominant groups namely oil sardine, Indian mackerel, carangids and whitebaits have been estimated. From the higher order transition probabilities it is clear that, if oil sardine is dominant in the fishery now, the probability that it continues to be the dominant group in the next year is 0.4875 and in case of Indian mackerel, the probability that it will dominate in the next year is only 0.3834. It is also observed that in the long run the pelagic fish assemblage is more likely to be dominated by oil sardine than Indian mackerel.
Page(s): 257-262
ISSN: 0379-5136
Source: IJMS Vol.35(3) [September 2006]

Files in This Item:

File Description SizeFormat
IJMS 35(3) 257-262.pdf188.86 kBAdobe PDFView/Open
 Current Page Visits: 81 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 168928 since 01-Sep-2015  Last updated on 29-Jun-2016Webmaster: