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Climate Smart Adaptations in the African Tropics: Scaling Weather Information for Decision Support Outcomes in Nigeria Savannahs

  • David Olufemi Awolala
Living reference work entry

Abstract

Extreme weather events and climatic variability exert tremendous influence on the livelihoods and decision-making processes of rural households in managing loss and damage in the dry savannah areas of Nigeria. Smallholders have long relied on traditional weather monitoring but unfortunately, increasing uncertainties in weather events have rendered indigenous knowledge obsolete. Renewed interest climate resilient development planning has raised the prospect of improved weather information as a decision support tool for future risk preparedness and early action. This study explored weather and climate forecast information that should be upscale in facilitating climate resilient adaptation decisions in sudan and guinea savannah areas of Nigeria. Rainfall probabilities are the most highly demanded weather forecast element by farmer users in the savannah areas. Onset date is the most profiled weather information required in adapting with delayed planting and drought resilient varieties, dry spell distribution will facilitate adapting with minimum tillage and cover cropping practices, while length of growing season is needed to take decision on early maturing varieties. Heckman probit estimates with Wald statistic of −0.614 and p-value of 0.0002 reveals gender, farming experience, annual farm income, and persistent occurrences of erratic rainfall as the significant factors that will catalyze rural decisions to adapt with resilient practices in the sudan savannah while farmers’ distance to weather station in addition will foster decisions on resilient practices in the guinea savannah of Nigeria.

Keywords

Weather variability Forecast information Adaptation decisions Resilience Dry savannahs Nigeria 

Notes

Acknowledgments

I acknowledge the generous funding for this study by the International Development Research Centre (IDRC) under the Adaptation Finance Fellowship Programme, the Thailand Development Research Institute, Bangkok, and the Frankfurt School of Finance and Management, Frankfurt, which manage the partnership program and my participation.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Agricultural and Resource EconomicsFederal University of Technology AkureAkureNigeria
  2. 2.Research Fellow, Adaptation Finance Fellowship Programme of the Thailand Research Development Institute BangkokThailand and Frankfurt School of Finance and ManagementFrankfurtGermany

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