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Sacred Kaya forests: Role in enhancing food security, climate change adaptation and biodiversity conservation among the Mijikenda community in Kenya

XV World Forestry Congress, 2-6 May 2022









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    The SFI conservation impact project: supporting forest-based solutions for climate- change mitigation and biodiversity conservation
    XV World Forestry Congress, 2-6 May 2022
    2022
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    SFI has provided certification standards for sustainable forest practices and forest fiber procurement since 1995, and has experienced tremendous growth, such that SFI’s Forest Management Standard is the most widely applied single forest management standard in the world, with over 365 million certified acres (147 million hectares). Seeing the need for better understanding of the conservation related outcomes from decades of sustainable management, SFI initiated the Conservation Impact Project in 2016 to enumerate outcomes across the critical themes of climate change, biodiversity, and water. Findings of these collaborative research projects reveal the critical role of these certified forests toward landscape-scale biodiversity, wide ranging bird species in decline, and carbon capture and storage. These findings make clear that SFI Certified forests contribute significantly and uniquely to forest conservation outcomes in the United States and Canada and suggest the potential importance of sustainably managed certified forests in meeting global conservation objectives. Keywords: sustainable forest management, climate, carbon, conservation ID: 3478897
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    Integrating adaptive management strategies for coping with climate change impacts on farming households in forest communities of Nigeria
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Most Nigerians depend on natural ecosystems such as forests, for extensive rain-fed farming and short fallow periods. Forest communities interact with their ecosystems for income, food, nutritional security and livelihood sustenance. It is important to determine the response of these communities to climate change vulnerability through modified livelihood activities. A multi-stage sampling procedure was used to assess the perceived impact of climate variability on farming communities in major ecosystems (rainforest, savannah and mangrove) of Nigeria. Using focus group discussions, we identified perceived impacts, traditional adaptive measures and new technologies that communities were adopting to cope with climate change. Over the last 30 years, there were perceived shifts in the rainfall patterns, durations and intensities with negative effects on rain-fed agriculture. Planting operations and cropping calendars had been altered, especially in the savanna, which had the highest incidence of drought and flooding. Climate variability negatively affected food production and available land for farming. Livelihoods most impacted were farming, hunting, fishing, timber and non-timber forest products’ collection. High temperatures, illegal logging and charcoal production were the most important environmental drivers of climate change. While poor governance, poverty and unemployment were the key political and economic elements. Local adaptation strategies included crop rotation, mixed cropping, diversification of trade, water conservation and adjustment of planting calendars based on traditional weather forecast. Sustainable adaptation strategies required included provision of credit facilities, affordable insurance policy; increased supply of drought and disease resistant crops; road networks, favourable forestry regulation; and improved climate information systems. Farmers were struggling with adaptive strategies and required external assistance to cope with climate change. Keywords: adaptive and integrated management; climate change; agriculture; sustainable forest management; food systems. ID: 3474255
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    A cluster analysis of variables essential for climate change adaptation of smallholder dairy farmers of Nandi County, Kenya
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Smallholder dairy farmers occupy high potential areas of Kenya and are a source of manure, crops and milk. There is need to use other means of characterising smallholder dairy farmers as they mostly practice mixed farming. The objective of this paper is to use cluster analysis method to characterize the smallholder dairy farmers with added farmer and activity data variables. Clusters of 336 farmers in this study were derived using 28 key variables. This paper demonstrates how to conduct farmer assessments for climate change adaptation activities, climate smart technologies implementation using knowledge of key farmer variables and their distribution in the smallholder dairy farmers of Nandi County, Kenya. This paper demonstrates the importance of integrating agricultural information for smallholder dairy farmers to machine models to characterize the groups and observe the natural groupings. This allows for policy managers to know the key characteristics and how to use them in policy implementation especially in designing climate change adaptation programs factoring education and training of farmers as demonstrated in this paper that they are practicing many activities on their farms. Keywords: Climate change, Agriculture, Education, Adaptive and integrated management, Monitoring and data collection ID: 3469789

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