2015
DOI: 10.1002/wat2.1121
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Managing the water cycle in Kenyan small‐scale maize farming systems: Part 2. Farmers’ use of formal and informal climate forecasts

Abstract: Forecasts can be an important component of water cycle management and farm decision making, particularly where rainfall is uncertain. In Kenya, the use of informal or indigenous forecasting (IF) is known to be widespread, but farmers also use more formal seasonal forecasting (SF) to make decisions in relation to the water cycle. A review of literature indicates that local knowledge is adaptable and often mixes indigenous knowledge and external information. In most cases, IF focusses on more local features and … Show more

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Cited by 7 publications
(7 citation statements)
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“…Mode of dissemination through radio is a key factor through which farmers receive weather information in Machakos (Vervoort et al, 2016;Apgar et al, 2017;Ndavula and Lungahi, 2018), while local meetings also influence farmers' need for WCI (Kitinya et al, 2012). The radio is an important factor for adoption of WCI, since it is an effective communication tool for influencing the use of WCI and triggering action among smallholder farmers in Kenya (Mwaniki et al, 2017).…”
Section: Key Factors That Influence the Uptake Use And Adoption Of Weather And Climate Informationmentioning
confidence: 99%
“…Mode of dissemination through radio is a key factor through which farmers receive weather information in Machakos (Vervoort et al, 2016;Apgar et al, 2017;Ndavula and Lungahi, 2018), while local meetings also influence farmers' need for WCI (Kitinya et al, 2012). The radio is an important factor for adoption of WCI, since it is an effective communication tool for influencing the use of WCI and triggering action among smallholder farmers in Kenya (Mwaniki et al, 2017).…”
Section: Key Factors That Influence the Uptake Use And Adoption Of Weather And Climate Informationmentioning
confidence: 99%
“…Some scholars have explored the value of indigenous knowledge in natural resource management, water resource management, fisheries and aquatic conservation, risk and disaster management, health, among others (Cabrera et al, 2006;David & Ploeger, 2014;Desbiez et al, 2004;Gray & Morant, 2003). In this study, we focused on IK for weather and seasonal climate forecasting which has been referred to by Vervoort et al (2016) as indigenous forecast (IF). Here, we define "indigenous" as native or local and "forecasting" in its elementary form as a prediction of a future occurrence or condition.…”
Section: Analytical Frameworkmentioning
confidence: 99%
“…Here, knowing the weather involves a different set of entities to be observed and other interpretative techniques in order to determine future states of the atmosphere. Calls to conceptualize weather knowledge from the perspective of its users and to recognize non-scientific knowledge have especially been voiced with regards to often marginalized rural communities in the Global South, including Ethiopian pastoralists (Balehegn et al, 2019;Iticha and Husen, 2019), as well as farmers in northern Ghana (Nyadzi et al, 2021), southern Uganda (Orlove et al, 2010) and various communities in Kenya (Ouma et al, 2013;Vervoort et al, 2016). Although not challenging scientific knowledge per se, Rice et al (2015) more explicitly critique the hegemonic knowledge politics of those sciences that marginalize other ways of knowing.…”
Section: Farming and Modes Of Anticipating The Weathermentioning
confidence: 99%
“…This has been addressed by Balehegn et al (2019) who show that Afar pastoralists do not use a single indicator to predict weather but draw information from a wide variety of sources, both traditional and scientific. Similarly, Vervoort et al (2016) demonstrate how farmers in Kenyan communities use weather information flexibly, drawing on several local and external sources in agricultural decision-making. As Orlove et al (2010) point out in their study of indigenous climate knowledge among farmers in southern Uganda, farmers are not only consumers of weather information but also share their experiential knowledge to actively engage as producers in programs that draw on climate science for climate change adaptation.…”
Section: From Epistemological Binaries To Attuned Sensingmentioning
confidence: 99%