Perceived Impact of Oil Spill on Cassava Production in Oguta Local Government Area of Imo State, Nigeria
DOI:
https://doi.org/10.54536/ajgt.v3i1.3240Keywords:
Oil Spills, Cassava Production, Health Impacts, Pearson Product-Moment Correlation (PPMC), Environmental ContaminationAbstract
This research explores the perceived impacts of oil spill incidents on cassava production in Oguta Local Government Area of Imo State, Nigeria, specifically focusing on the perception of local communities and farmers on the environmental impact of oil spills inherent in cassava production. Utilizing a correlation research design method, the study employs the Pearson Product-Moment Correlation (PPMC) technique and purposive sampling to investigate how these perceived environmental impacts correlate with various issues experienced by farmers and affected communities. The research focuses on understanding the relationship between oil spill occurrences and their effects on cassava cultivation, including soil contamination, yield reduction, and disruptions to farming activities. Data were collected through structured surveys and interviews, which were then analyzed to uncover patterns and trends in the perceived environmental impacts of oil spills. The findings from the correlation analysis revealed a significant correlation between the frequency of oil spills and negative environmental outcomes such as soil degradation and reduced cassava yields. The results indicate that local communities and farmers perceive oil spills as a major threat to cassava production, contributing to significant environmental and agricultural challenges. Key recommendations include enhanced environmental regulations, improved soil response strategies, and community awareness programs to mitigate the adverse effect of oil spills. Policymakers and environmental agencies should prioritize restoring contaminated soils and supporting sustainable agricultural practices. Additionally, engaging local communities in monitoring and reporting oil spills can help in early detection and response, reducing the long-term impacts on cassava production.
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