Quantitative Assessment of Trend of Water Area Development, Fish Production, Fish Seed Production Over Successive Plan Periods of Nagaland
Ajit kumar Roy
Anil Upadhyay- Khriezhato Nakhro
A complete account of fisheries resources that includes rivers, lakes, bheels pond and tanks along with Government initiatives for fisheries development are compiled for Nagaland well known for its fish biodiversity. In spite of the available resources, in terms of aquaculture production the state of Nagaland could not make visible impact so far. The meager production of the state is still far from self-sufficient and this can be attributed to a number of constraints such as land locked hilly terrain, lack of adequate funds, lack of professional support and non-availability of critical inputs. In spite of the odds, the state government fisheries department is making continuous efforts for sustainable fisheries development by way of assisting, guiding and educating the concerned stake-holders and also allocating enhanced budgetary provision. A study was undertaken to assess the impact of government of Nagaland's initiative to develop water areas for fish production that reveals that the yearly water area developed in eight different plan periods since third FYP in state is continuously increasing. The fitted trend line with empirical data suggest a very good impact on fish production represented by a second order regression equation between water area development and FYP showed very good fit (y=38.17X 2 –51.02X – 8.15; R 2 = 0.975) compared to a linear fit (y=292.5X–580.7; R 2 = 0.913). Over the successive five year plan period; there was continuous increase in fish production proportionately with corresponding increase of water area, justifying a close relationship between these two variables. Fish seed production remained stagnant over the plan periods in the state of Nagaland. The yearly fish production in the state is continuously increasing that is expressed as a model of the form involving fish production and years (Y est = 63.38X 3 – 337.9X 2 + 663.6X + 112.5; R 2 = 0.990). The model is found to be highly satisfactory fit as can be evidenced from the coefficient of determination value of 99%.
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