Influence of Indigenous Knowledge and Scientific Climate Forecasts on Arable Farmers’ Climate Adaptation Methods in the Rwenzori region, Western Uganda

2020 ◽  
Vol 65 (4) ◽  
pp. 500-516 ◽  
Author(s):  
Michael Robert Nkuba ◽  
Raban Chanda ◽  
Gagoitseope Mmopelwa ◽  
Edward Kato ◽  
Margaret N. Mangheni ◽  
...  
2016 ◽  
Vol 2 (1) ◽  
pp. 18
Author(s):  
Jøran Solli ◽  
Marianne Ryghaug

<div><p>The difference between indigenous knowledge and western science continues to be a central theme in the social studies of science. This paper investigates the use of climate knowledge in climate adaptation activities. The analysis is based on a case study of indigenous experts involved in practical operations dealing with risk of avalanches in an area particularly vulnerable to avalanches in northern Norway. We find that indigenous knowledge held by local area experts and western science overlap. From this we develop two lines of argument. Firstly that assemblages of climate adaptation is produced as collaborative guesswork related to coupling and negotiation of different types of knowledge in a decision context. Secondly, we discuss what such a practice means for the understanding of the relationship between climate knowledge and climate policy. By following different assemblages of climate knowledge we point to an alternative way of understanding a process of policy shaping in relation to climate adaptation: a sideways policy shaping process where what gets included or excluded and what is considered internal or external to a decision making context becomes evident.</p><div> </div></div>


2019 ◽  
Vol 116 (10) ◽  
pp. 4194-4199 ◽  
Author(s):  
Jacob van Etten ◽  
Kauê de Sousa ◽  
Amílcar Aguilar ◽  
Mirna Barrios ◽  
Allan Coto ◽  
...  

Crop adaptation to climate change requires accelerated crop variety introduction accompanied by recommendations to help farmers match the best variety with their field contexts. Existing approaches to generate these recommendations lack scalability and predictivity in marginal production environments. We tested if crowdsourced citizen science can address this challenge, producing empirical data across geographic space that, in aggregate, can characterize varietal climatic responses. We present the results of 12,409 farmer-managed experimental plots of common bean (Phaseolus vulgarisL.) in Nicaragua, durum wheat (Triticum durumDesf.) in Ethiopia, and bread wheat (Triticum aestivumL.) in India. Farmers collaborated as citizen scientists, each ranking the performance of three varieties randomly assigned from a larger set. We show that the approach can register known specific effects of climate variation on varietal performance. The prediction of variety performance from seasonal climatic variables was generalizable across growing seasons. We show that these analyses can improve variety recommendations in four aspects: reduction of climate bias, incorporation of seasonal climate forecasts, risk analysis, and geographic extrapolation. Variety recommendations derived from the citizen science trials led to important differences with previous recommendations.


Author(s):  
Myuri Basdew ◽  
Obert Jiri ◽  
Paramu L Mafongoya

AbstractIndigenous knowledge has for generations assisted rural subsistence farming communities adapt to climate change and make daily decisions regarding agriculture. This study was conducted in the rural community of Swayimane, uMshwathi Municipality, KwaZulu-Natal, South Africa. The main objective of the research was to determine the indigenous indicators used by rural farmers, identify the means through which seasonal climate information is disseminated and assess the strengths and weaknesses of indigenous and scientific knowledge. The other objective of the research was to evaluate the integration of indigenous and scientific weather forecasting. The research used 100 questionnaires which were administered to the subsistence farmers of the community. Focus group discussions and key informant interviews were conducted with small groups of individuals. Results showed that majority of the indigenous indicators related to rainfall and seasonal predictions. Also, seasonal scientific climate information was mainly disseminated via television and radio. Local farmers highlighted that indigenous knowledge was essential in predicting seasonal changes and rainfall and scientific knowledge was not trusted. Indigenous knowledge is transmitted by oral tradition, from generation to generation and mainly among the elderly, and, thinly, to the younger generation. Scientific information was thought to be too technical and difficult to comprehend. It can be concluded that subsistence farmers were open to the integration of scientific and indigenous weather forecasting. They highlighted that it would improve decision making concerning their agricultural activities.


2021 ◽  
Vol 9 ◽  
Author(s):  
Bosco Bwambale ◽  
Matthieu Kervyn

Efforts in Disaster Risk Reduction (DRR) are widely geared towards integrating indigenous knowledge and science. Several conceptual frameworks have thus evolved towards co-creating knowledge and co-designing DRR measures from the standpoint of the communities-at-risk. This is claimed to foster optimization and sustainability of measures. This study tests the effectiveness of this standpoint argument based on the case of floods in the Rwenzori, western Uganda, where a mismatch is noted between research, policy, and action. A protocol was developed to stimulate dialogue on knowledge co-creation and co-designing of DRR measures among participants from three stakeholder groups: scientists, policymakers, and communities-at-risk. Beyond convergence on some measures among participants, equitable deliberations were observed among the different stakeholders. This enabled three processes: coalescing some of the proposed measures, the emergence of hybrid worldviews, and co-design of alternative options. The co-designed options fall within the contemporary conceptualization of nature-based solutions and sustainability. This meant that they are adoptable and optimizable over time by communities-at-risk. This constructive knowledge integration and co-design of DRR options were favored by three attributes: coalescing overlaps in theorizations of processes, embracing diversity in ontological values, and self-critiques among policymakers. Lessons are drawn on how these attributes facilitate bridging gaps between science, policy, and action in DRR.


2014 ◽  
Vol 155 (1) ◽  
pp. 194-202 ◽  
Author(s):  
Maud Kamatenesi Mugisha ◽  
Savina Asiimwe ◽  
Agnes Namutebi ◽  
Anna-Karin Borg-Karlson ◽  
Esezah Kyomugisha Kakudidi

2016 ◽  
Vol 2 (2) ◽  
pp. 18 ◽  
Author(s):  
Jøran Solli ◽  
Marianne Ryghaug

<div><p>The difference between indigenous knowledge and western science continues to be a central theme in the social studies of science. This paper investigates the use of climate knowledge in climate adaptation activities. The analysis is based on a case study of indigenous experts involved in practical operations dealing with risk of avalanches in an area particularly vulnerable to avalanches in northern Norway. We find that indigenous knowledge held by local area experts and western science overlap. From this we develop two lines of argument. Firstly that assemblages of climate adaptation is produced as collaborative guesswork related to coupling and negotiation of different types of knowledge in a decision context. Secondly, we discuss what such a practice means for the understanding of the relationship between climate knowledge and climate policy. By following different assemblages of climate knowledge we point to an alternative way of understanding a process of policy shaping in relation to climate adaptation: a sideways policy shaping process where what gets included or excluded and what is considered internal or external to a decision making context becomes evident.</p><div> </div></div>


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