Upper East Region of Ghana. This region is known to be the most vulnerable to climate change in the country. However, no study has found any local variations as the study tended to be defined by administrative boundaries. To assess rice production vulnerability to biophysical aspects of climate change (e.g., rainfall, temperature), we applied a multiple regression and crop vulnerability index analyses. The vulnerability index was used to determine the yield loss sensitivity and exposure. The multiple regression analysis aimed to assess the impact of maximum and minimum temperatures on rice yields with negative relationship to rainfall variability. The results of rice yield sensitivity and overall vulnerability highlighted local differences. For example, we found that farmers in Talensi district were the most vulnerable in terms of exposure to erratic rainfall patterns. Also, our multiple regression analysis showed that a local variation of vulnerability was linked to residents’ socioeconomic status, including poverty, literacy/education, and economically active population. These results suggest that highly localized adaptation strategies are needed through technical and institutional support to improve the resilience of food production systems.
Nuhu Mohammed Gali, University of Tsukuba, Japan
Kenichi Matsui, University of Tsukuba, Japan
Stream: Environmental Sustainability & Human Consumption: Human and Life Sciences
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