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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
Fisheries
Pelagic fishery
Karnataka
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]

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