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http://ir.futminna.edu.ng:8080/jspui/handle/123456789/27070
Title: | Assessment of Vulnerability of Rice farmers to Climate Variability in Kogi State, North Central Nigeria: A Vulnerability Composite Index Approach |
Authors: | Ocheni, B. A. Ndanitsa, M. A. Baba, K. M Ojo, M. A |
Keywords: | Adaptive capacity, Climate change, Composite index, Sensitivity, Vulnerability ______________________________________________________________________ |
Issue Date: | 2021 |
Citation: | Ocheni, B. A., Ndanitsa, M. A., Baba, K. M. & Ojo, M. A. (2021): Assessment of Vulnerability of Rice farmers to Climate Variability in Kogi State, North Central Nigeria: A Vulnerability Composite Index Approach .BADEGGI JOURNAL OF AGRICULTURAL RESEARCH AND ENVIRONMENT |
Abstract: | Abstract Vulnerability assessments to climate change are a possible criterion for adaptation and have a long history on multidisciplinary research. Identification and assessing the degree of vulnerability as a result of climate change is an essential pre-requisite for reducing climate change impacts. The study focuses on vulnerability of rice farmers to climate change in Kogi State, Nigeria. Data for the study were obtained from primary and secondary sources with the aid of structured questionnaire administered to 123 rice farmers from across the four agricultural zones in the State. A total of 15 environmental and socio-economic indicators were identified and analyzed to measure vulnerability status in the agricultural zones. Composite Climate Change Vulnerability Index computed from the hazards, sensitivity and adaptive capacity components revealed that all the rice farmers’ were vulnerable to climate change but vary in the degrees of vulnerability. Scores of Exposure-Sensitivity Index (ESI) suggest that rice farmers in Owolikpa and Igalaogba were most prone and susceptible to climate change whereas, Baganna, Ikande, Odoepe, and Iluke were least exposed and sensitive to climate change. Kpancehe, Kakanda, Girinya, Eggan,and Aiyetoro were categorized under very high to high degree of vulnerability while Iya, Baganna and Echa were rated low vulnerable to climate change. These prioritized areas, based on rank and degree of vulnerability, should be given immediate consideration, and measures should be taken by internalizing region specific needs to address the growing challenge of climate change. |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/27070 |
Appears in Collections: | Agricultural Economics and Farm Management |
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