Thirteenth International Conference on Climate Change: Impacts & Responses

Abstract

Climate change is a global issue and many studies are currently focusing on the global scale to draw the impacts of climate change on the environments and its components. Rather than the global scale, in this study, we are focusing on the regional scale to show the climate change impacts on food production, specifically crop yield. We are proposing a linear and multilinear regression spatiotemporal model which shows the climatic impacts on crop yields. As a representative of a regional scale, we studied Mississippi state’s soybean production which contributed about 2.49 % in 2018 and 2.2 % in 2019 of the total US soybean production. To draw the climate impacts we categorized the crop zone into the irrigated and non-irrigated zone and different climatic parameters i.e. maximum temperature, mean temperature, minimum temperature, and precipitations are used to model the climatic impacts on crop yield. Our proposed different spatiotemporal models showed a 24% impact on the irrigated zones’ crop production and a 14% impact on the non-irrigated zones’ crop production based on the agricultural districts. We found a significant negative impact on the crop yield due to the seasonal maximum temperature increase. However, the change in precipitation pattern has no consistent impact on crop yield reduction. The consecutive increase in seasonal average and minimum temperature will also have a future negative impact on crop production. This study is helpful to show a future scenario and negative impact of climate change on food production.