Kenya Marine and Fisheries Research Institute · Kenya
In the programme
Abstract
Lake Baringo is a shallow freshwater Rift Valley lake of high ecological, cultural and livelihood importance. It supports artisanal fisheries, livestock watering, domestic water use, tourism, biodiversity conservation and wetland services for communities living in a semi-arid landscape. The lake is also an internationally important wetland and biodiversity site. However, the lake system is under simultaneous pressure from fluctuating lake levels, catchment erosion, turbidity, nutrient loading, riparian vegetation loss, Prosopis juliflora invasion, shoreline encroachment, habitat degradation, fishing pressure and weak community-accessible monitoring data. These pressures are not isolated environmental problems; they interact to affect fish breeding habitats, water quality, household nutrition, fishing income, livestock access, tourism livelihoods, local safety and the ability of county and national institutions to make timely management decisions. This proposal presents an applied, community-centered, intervention-oriented research project designed for Lake Baringo. It will establish and test a participatory monitoring and restoration model that links Beach Management Units, fisherfolk, women fish traders, youth, riparian households, county officers, KMFRI scientists and other stakeholders in a practical system for generating credible local evidence and using that evidence to restore critical fisheries and riparian ecosystem functions. The project will combine baseline assessment, community training, water quality monitoring, fish catch and effort tracking, participatory mapping of degradation hotspots, riparian restoration demonstrations and livelihood-oriented extension. The central argument is that Lake Baringo requires more than episodic technical studies and enforcement campaigns: it requires a locally owned evidence-to-action mechanism that can be sustained by communities and used by institutions for adaptive management. The study will be implemented around selected fishing beaches and riparian zones of Lake Baringo. It will use a mixed-methods and quasi-experimental before-after design. Quantitative data will include water quality parameters, fish catch and effort, household livelihood indicators, restoration survival rates and training outcomes. Qualitative data will include key informant interviews, focus group discussions, participatory resource mapping, institutional analysis and community scorecards. Statistical analysis will combine descriptive statistics, trend analysis, multivariate water-quality analysis, generalized linear models, before-after comparisons and qualitative thematic analysis. The expected outputs are a community monitoring protocol, trained community eco-monitors, baseline and follow-up datasets, restored riparian demonstration sites, policy briefs, community extension materials and a Lake Baringo fisheries-water-riparian restoration action framework.
Keywords Climate change; biodiversity conservation; catchment restoration; community based monitoring; riparian ecosystem health; sustainable development
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