Climate Change Vulnerability Assessment for Kassena Nankana Municipal Assembly

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The assessment identifies agriculture as the most vulnerable sector in the Kassena Nankana Municipality, with high sensitivity in zonal councils like Biu and Doba due to the prevalence of mud-brick housing and flood-prone farmlands. While the quantitative Vulnerability Index suggests that adaptive capacity currently outweighs exposure and sensitivity across all zonal councils, Naaga is identified as the most vulnerable area due to its low adaptive capacity and high exposure to the White Volta River. Future projections indicate rising temperatures and irregular rainfall, which are expected to reduce maize and soybean yields and increase the prevalence of climate-sensitive diseases like cerebrospinal meningitis.

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  • Agriculture is the most critical and vulnerable sector in the municipality, with 78% of the economically active population employed in the sector. It is highly susceptible to declining rainfall, high temperatures, and extreme events, which reduce crop yields and livestock productivity.
  • The quantitative vulnerability assessment reveals a north-south gradient of vulnerability. Manyoro, North-East, and Yua zonal councils in the north have the lowest vulnerability, while Naaga, the southernmost council, is the most vulnerable due to its low adaptive capacity and high exposure to the White Volta River.
  • Biu and Doba zonal councils exhibit the highest sensitivity to climate impacts, primarily because a high percentage of their buildings are constructed from mud/bricks, making them highly susceptible to flood damage.
  • Gender-disaggregated data shows that women generally have a lower capacity to adapt to climate change than men, particularly regarding access to smartphones, the internet, and climate information services (CIS). However, women are more active in adopting alternative livelihoods, such as trading and migration.
  • Future climate projections for Navrongo indicate a steady increase in mean annual rainfall until the middle of the century, followed by divergent paths under different scenarios. Temperatures are projected to rise, with nighttime temperatures increasing more quickly than daytime temperatures.
  • Future climate risks include significant declines in crop productivity, with maize yields projected to decrease by 9% under RCP 4.5 and 39% under RCP 8.5 by mid-century. Additionally, rising temperatures are expected to increase the incidence of cerebrospinal meningitis (CSM) and other heat-related health stresses.
  • There is a critical lack of access to climate-tolerant seeds and agricultural insurance across the municipality. In several zonal councils, such as Telania and North-East, over 90% of respondents reported no access to climate-tolerant seeds, and subscription to agricultural insurance is described as non-existent.

Cite the original document

APA
Forkour, D. G. (2024). Climate Change Vulnerability Assessment for Kassena Nankana Municipal Assembly. NAP Global Network. https://napglobalnetwork.org/wp-content/uploads/2025/07/ghana-2024-cvra-report-kassena-nankana.pdf
Chicago
Forkour, Dr. Gerald. Climate Change Vulnerability Assessment for Kassena Nankana Municipal Assembly. NAP Global Network, 2024. https://napglobalnetwork.org/wp-content/uploads/2025/07/ghana-2024-cvra-report-kassena-nankana.pdf.
Wikipedia
{{cite report |last1=Forkour |first1=Dr. Gerald |title=Climate Change Vulnerability Assessment for Kassena Nankana Municipal Assembly |publisher=NAP Global Network |date=March 2024 |url=https://napglobalnetwork.org/wp-content/uploads/2025/07/ghana-2024-cvra-report-kassena-nankana.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{forkour2024climate, author = {Forkour, Dr. Gerald}, title = {{Climate Change Vulnerability Assessment for Kassena Nankana Municipal Assembly}}, institution = {NAP Global Network}, year = {2024}, month = mar, url = {https://napglobalnetwork.org/wp-content/uploads/2025/07/ghana-2024-cvra-report-kassena-nankana.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }

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