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Trends in abundance of marine fishery resources in India examined through dynamic factor analysis

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Relation http://eprints.cmfri.org.in/10934/
 
Title Trends in abundance of marine fishery resources in India examined through dynamic factor analysis
 
Creator Sathianandan, T V
Kuriakose, Somy
Mini, K G
George, Grinson
Zacharia, P U
 
Subject Analytical models
Marine Fisheries
 
Description Dynamic factor analysis (DFA) was used to identify common trends to explain the variability for a historical time series data (1980-2010) on all India annual marine fish landings for 16 resource groups. In this study, three common trends were identified for classifying the resource groups. Trend-1 increases gradually and reaches a peak in 1997, decreases sharply until 2001 and then increases further. Landings of carangids were clearly related to trend-1 with positive factor loading magnitude. Trend-1 is important for Bombayduck as well but with negative factor loading. In the case of trend-2, it is declining until 1993 and remains steady with slight fluctuations till 2003 and increases further. Both, silverbellies and pomfrets landings were determined by trend-2 with similar positive factor loadings. All other resources were associated with more than one trend. Trend-3 shows an increasing trend throughout the period with slight fluctuations. Perches, seerfishes, tunnies, flatfishes, crustaceans and molluscs formed a homogenous group associated with both trend-1 and trend-3. These trends were important for elasmobranchs too as they had similar loadings on both trends but with opposite signs. Resource-wise
explanations based on the different trends are discussed citing the examples of clupeids, carangids, Bombayduck, pomfrets and silverbellies.
 
Date 2016
 
Type Article
PeerReviewed
 
Format text
 
Language en
 
Identifier http://eprints.cmfri.org.in/10934/1/3.%2047463.pdf
Sathianandan, T V and Kuriakose, Somy and Mini, K G and George, Grinson and Zacharia, P U (2016) Trends in abundance of marine fishery resources in India examined through dynamic factor analysis. Indian Journal of Fisheries, 63 (2). pp. 19-23.