Abstract: The baseline for the data analysis is a decadal dataset of World Bank, and Food Agricultural Organizations (FAO) spanning 2008-2017. The dataset captures all dimensions of food security index as: crop production, and livestock, cereal productivity, food availability, population density while index for annual normal rainfall round the years in total, and annual normal temperature degrees were extrac ted from database of Nigerian Meteorological Agency (NMA), with one state each representing the sample size drawn from six (6) geopolitical zones in Nigeria. North West (Kano), North East (Gombe), North Central (Benue), South West (Ondo), South East (Enugu) , and SouthSouth (CrossRiver); these states were chosen due to their installed capacity for food production in the country as enhanced by avalanche of arable lands with relative share of climate impacts. Bivariate Pearson Correlation (BPC) and Multiple Regressions Techniques (MRT) were employed to underpin the degree of interannual to intraannual responsiveness of normal climate change distribution at a time. However, relative share of climate impacts (independent variables) on food security parameters (dependent variables) as applicable to each states were determined using backward selection methods for the regression estimation. The result shows that climate changes pose high impacts to food productivity and sustainability in Nigeria.
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