Multivariate statistical analysis of climate change variables and land use on crop yields

Abstract

This study examines the impact of climate change variables and land use on crop yields, focusing on cassava, yam, rice, and maize in Southeast Nigeria from 1980 to 2023. Using multiple linear regression analysis, we assessed the influence of maximum temperature, minimum temperature, rainfall, relative humidity, solar radiation, wind speed, wind direction, and land use on crop productivity. The results reveal a moderate relationship between these factors and crop yields (R-squared = 0.353), with minimum temperature emerging as a significant positive predictor. The findings suggest complex interactions among climate variables and land use practices, underscoring the need for comprehensive agricultural strategies to mitigate climate change impacts and optimize land use for sustainable crop production. Further research is recommended to explore these interactions in greater detail and to support the development of effective adaptation and mitigation measures in the region.