Building on foundations for climate services for sustainable development: A case of coastal smallholder farmers in Kilifi County, Kenya

Ogega, Obed M.; Gyampoh, Benjamin Apraku; Oludhe, Christopher; Koske, James; Kung’u, J.B.

doi:10.1016/j.cliser.2020.100200

Cited by 4 publications

(4 citation statements)

References 39 publications

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“…The ensemble, although potentially biased, simulated rainfall better compared to individual models; model ensembles have previously been used for future climate studies (Buontempo et al, 2015;Ogega et al, 2016;Mukhala et al, 2017;Mutayoba and Kashaigili, 2017;Stanzel et al, 2018;Gibba et al, 2019;Kisembe et al, 2019;Musie et al, 2020). Utmost importance should be given to choosing the data source, which otherwise could lead to incorrect estimations that lead to incorrect policy recommendations (Srivastava et al, 2020;Yaghoubi et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

Simulated effects of climate change on green gram production in Kitui County, Kenya

Mugo

Opijah

Ngaina

et al. 2023

Front. Sustain. Food Syst.

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This study purposed to evaluate the impact of climate change on green gram yield, biomass and days to maturity under the baseline and future climate scenarios in Kitui County, Kenya. A field experiment was conducted during the March–April–May (MAM) and October–November–December (OND) planting seasons of 2018 and 2019 in the South Eastern Kenya University (SEKU) farm. Data on soil physical and chemical properties, daily climate data on rainfall, maximum and minimum temperature, and solar radiation, and green gram phenology dates were collected from the site and used in the calibration and validation of the APSIM model for four varieties of green gram, namely Biashara, Tosha, N26, and KS20 varieties. The calibrated green gram model captured the observed yield, biomass and days to maturity of the four varieties of green gram well. The calibrated green gram model was used to simulate the effects of climate change using daily climate data from an equal-weight ensemble of the nine CORDEX RCA4 models under the baseline scenario (1971 to 2000), and the future RCP 4.5 and 8.5 scenarios (2021 to 2050). During the MAM and OND seasons, a statistically significant decline in yield, biomass, and days to maturity is expected under both the RCP 4.5 and RCP 8.5 scenarios. The high variability in rainfall amount under both the RCP 4.5 and RCP 8.5 scenarios will translate to a lower yield and biomass. The increase in temperature under both the RCP 4.5 and RCP 8.5 scenarios will reduce the days to maturity for green grams in Kitui County. A decline in green gram yield is expected under future climate scenarios in one of the highly suitable zones for Kitui County, Kenya. Given that the government aims to revive farming in the ASALs by promoting climate-smart agriculture through planting drought-resistance crops, there is a need to develop green gram varieties which are more tolerant to the expected change in climate.

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Section: Resultsmentioning

confidence: 99%

Simulated effects of climate change on green gram production in Kitui County, Kenya

Mugo

Opijah

Ngaina

et al. 2023

Front. Sustain. Food Syst.

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“…Studies at KWTRP in Kilifi, including AHOS, often involve participants from surrounding areas, with research governance drawing on a collaborative partnership with the Kilifi County Health Team. The main economic activities across the county include petty trade, subsistence farming and fishing alongside emerging urban development, with rates of multidimensional poverty assessed at 35.6% [ 23 ].…”

Section: Study Methodsmentioning

confidence: 99%

Layered vulnerability and researchers’ responsibilities: learning from research involving Kenyan adolescents living with perinatal HIV infection

Kimani,

Molyneux,

Charo

et al. 2024

BMC Med Ethics

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Background Carefully planned research is critical to developing policies and interventions that counter physical, psychological and social challenges faced by young people living with HIV/AIDS, without increasing burdens. Such studies, however, must navigate a ‘vulnerability paradox’, since including potentially vulnerable groups also risks unintentionally worsening their situation. Through embedded social science research, linked to a cohort study involving Adolescents Living with HIV/AIDS (ALH) in Kenya, we develop an account of researchers’ responsibilities towards young people, incorporating concepts of vulnerability, resilience, and agency as ‘interacting layers’. Methods Using a qualitative, iterative approach across three linked data collection phases including interviews, group discussions, observations and a participatory workshop, we explored stakeholders’ perspectives on vulnerability and resilience of young people living with HIV/AIDS, in relation to home and community, school, health care and health research participation. A total of 62 policy, provider, research, and community-based stakeholders were involved, including 27 ALH participating in a longitudinal cohort study. Data analysis drew on a Framework Analysis approach; ethical analysis adapts Luna’s layered account of vulnerability. Results ALH experienced forms of vulnerability and resilience in their daily lives in which socioeconomic context, institutional policies, organisational systems and interpersonal relations were key, interrelated influences. Anticipated and experienced forms of stigma and discrimination in schools, health clinics and communities were linked to actions undermining ART adherence, worsening physical and mental health, and poor educational outcomes, indicating cascading forms of vulnerability, resulting in worsened vulnerabilities. Positive inputs within and across sectors could build resilience, improve outcomes, and support positive research experiences. Conclusions The most serious forms of vulnerability faced by ALH in the cohort study were related to structural, inter-sectoral influences, unrelated to study participation and underscored by constraints to their agency. Vulnerabilities, including cascading forms, were potentially responsive to policy-based and interpersonal actions. Stakeholder engagement supported cohort design and implementation, building privacy, stakeholder understanding, interpersonal relations and ancillary care policies. Structural forms of vulnerability underscore researchers’ responsibilities to work within multi-sectoral partnerships to plan and implement studies involving ALH, share findings in a timely way and contribute to policies addressing known causes of vulnerabilities.

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“…The CHIRPS data is provided for free by the Climate Hazards Centre in collaboration with the US Geological Survey and uses both rain gauge and satellite observations. This dataset has been validated and approved for use as a reference for researchers in East Africa (Dinku et al, 2018;Cattani et al, 2018;MacLeod, 2018;Ogega et al, 2020). Farmers' responses on several issues under study was collected using a researcher administered questionnaire, while interviews were used to collect data from key informants, who comprised line officers from the ministries of agriculture and environment.…”

Section: Research Design and Data Managementmentioning

confidence: 99%

Climate Smart Agriculture and its Implication on Climate Change Adaptation Measures within Smallholder Farming Systems in Gatundu South, Kenya

Tei,

Waswa

2024

JKNCU

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The impacts of climate change and the need for implementing adaptation and mitigation measures continues to dominate global environmental dialogue, with the Africa Climate Summit 2023 and Conference of Parties 28 being the most recent in this series. A hitherto marginalised aspect is the level of adoption of climate-smart agriculture practices in smallholder production systems. This study explored this dimension using Gatundu South as a case study. Rainfall data was obtained from the Climate Hazards Group Infrared Precipitation with Station data. Socio-economic data targeting 384 respondents was collected using questionnaires. Standard procedures were used to analyse these data. Results showed that farmers are generally aware of climatic variability especially as evidenced by changes in rainfall patterns. Farmers adapt and attempt to mitigate effects of climate change and variability by using practices that deliver direct economic benefits and not necessarily the climate-smartness of the practices. Farmers did not associate their adaptation measures with the need to reduce emission of greenhouse gasses. To smallholder farmers, direct economic benefits are the primary incentives for the adoption of climate-smart practices. Further, the link between climate change and the invisible greenhouse gases is a knowledge gap among smallholder farmers. Therefore, adoption of climate smart agriculture practices can be enhanced if the narrative shifts to emphasise the negative contribution of greenhouse gases to farmers’ health and the concomitant medical costs, through their role in exacerbating air pollution

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Building on foundations for climate services for sustainable development: A case of coastal smallholder farmers in Kilifi County, Kenya

Cited by 4 publications

References 39 publications

Simulated effects of climate change on green gram production in Kitui County, Kenya

Simulated effects of climate change on green gram production in Kitui County, Kenya

Layered vulnerability and researchers’ responsibilities: learning from research involving Kenyan adolescents living with perinatal HIV infection

Climate Smart Agriculture and its Implication on Climate Change Adaptation Measures within Smallholder Farming Systems in Gatundu South, Kenya

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