Improve weather forecasting by integrating local indicators into conventional knowledge

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dc.contributor.authorMucheru-Muna, M.
dc.contributor.authorMugwe, J. N.
dc.contributor.authorNgetich, F.
dc.contributor.authorMugendi, D.N.
dc.contributor.authorMairura, F.
dc.contributor.authorMugi, Esther
dc.date.accessioned2015-02-04T09:17:01Z
dc.date.available2015-02-04T09:17:01Z
dc.date.issued2014
dc.description.abstractWhy use local indicators in weather forecasting? • Most of agriculture in Tharaka and Kitui is rain-fed and the bulk is under small-holder farming. • Cropping systems in the region are often limited by variations in climate (rainfall and temperature). • The conditions caused by climate variability have negative effects on agricultural productivity by introducing unfavourable growing conditions into the existing cropping calendar. • There is therefore need for adaptation as a fundamental and necessary response to the unfavorable conditions introduced into the existing cropping calendar. • The adaptive responses include among others the use of indigenous knowledge (IK)/ local indicators that are passed on among local communities in addition to the conventional knowledge and this helps to predict disasters caused by climate variabilityen_US
dc.description.sponsorshipRegional Universities Forum for Capacity Building in Agriculture (RUFORUM), Kenyatta University (KU)en_US
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/12131
dc.language.isoenen_US
dc.publisherRegional Universities Forum for Capacity Building in Agriculture (RUFORUM),en_US
dc.titleImprove weather forecasting by integrating local indicators into conventional knowledgeen_US
dc.typeTechnical Reporten_US
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