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• W2796647511 abstract "In the wake of increased drought occurrences being witnessed in Sub-Saharan Africa, more localized and contextualized drought mitigation strategies are on the agendas of many researchers and policy makers in the region. The integration of indigenous knowledge on droughts with seasonal climate forecasts is one such strategy. The main challenge facing this integration, however, is the formal representation of highly-structured and holistic indigenous knowledge. In this paper, we demonstrate how the use of fuzzy cognitive mapping can address this challenge. Indigenous knowledge on droughts from five communities was modeled and represented using fuzzy cognitive maps. Maps from one of these case communities were then used in the implementation of the integration framework, called ĩtiki." @default.
• W2796647511 created "2018-04-24" @default.
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• W2796647511 date "2018-04-16" @default.
• W2796647511 modified "2023-10-14" @default.
• W2796647511 title "Downscaling Africa’s Drought Forecasts through Integration of Indigenous and Scientific Drought Forecasts Using Fuzzy Cognitive Maps" @default.
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• W2796647511 doi "https://doi.org/10.3390/geosciences8040135" @default.
• W2796647511 hasPublicationYear "2018" @default.
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