Sierra Leone aquaculture assessment with special emphasis on Tonkolili and Bombali districts

This assessment set out to investigate why fish farming has spread in Tonkolili District yet been poorly adopted in neighboring Bombali District. The purpose was to analyze what was working in Tonkolili but not in Bombali and then extrapolate this beyond Tonkolili. The current study aims to consolidate the most recent FAO study and map out pond distribution in Tonkolili, the most popular aquaculture development district in Sierra Leone, while also trying to make sense of this distribution. It also tries to update existing GIS models for aquaculture site suitability, particularly Tonkolili, with a view to identifying the opportunities and challenges of developing aquaculture in the country

Sierra Leone fish value chain analysis with special emphasis on Tonkolili District

The USAID-funded Sierra Leone Feed the Future (FtF) Agriculture Project implemented by WorldFish has completed its initial pilot phase (July 2015 to September 2016). During this phase, the project identified and tested interventions to develop integrated agriculture-aquaculture (IAA) farming systems and associated value chains to enhance food, nutrition and livelihood outcomes for rural households in Tonkolili District. This project emphasizes rehabilitation and improvement of fish and rice farming systems combined with nutritious vegetable crops. The assessment of existing fish and rice value chains in Sierra Leone was a key component of this initial phase to improve understanding of current farming systems and identify opportunities for interventions to increase productivity and income and improve nutrition among rural households in Tonkolili District. This report presents the key findings of the fish value chain assessment, with an emphasis on the development of the aquaculture sector and recommendations for potential value chain interventions in marine and freshwater fisheries and aquaculture sectors

A study to develop the scope for monitoring landscape-scale biodiversity impacts of agri-environment schemes in England. Final report for LM0457

Agri-environment schemes (AES) are the most significant mechanism to deliver environmental policy within England, and include the new Countryside Stewardship (CS) AES launched in 2016. Previous studies of AES have found mixed evidence for effects on biodiversity, and have largely focussed on responses of wildlife taxa within individual AES options or agreements, with a few assessments of effects at the landscape or national scale where possible. Here, we present the findings of a study to scope approaches to monitoring biodiversity responses to AES at a landscape scale in England, specifically considering impacts beyond farm or agreement boundaries. The objectives of this study were to: 1) Review the evidence for key species groups, focussing on landscape-scale studies where available, to collate information on (i) the strength and type of evidence for responses to AES (ii) field survey techniques, (iii) habitat and landscape variables shown to influence the response of taxa to AES interventions and (iv) existing monitoring schemes that could contribute to landscape-scale AES monitoring. 2) Consult stakeholders on: (i) which species groups to include in the evidence review, (ii) the relevant spatial and temporal scales for monitoring a range of taxa, (iii) appropriate field survey techniques, (iv) the use of volunteers for AES monitoring and (iv) broader comments around landscape-scale monitoring of AES effects. 3) Develop a score for level of AES intervention on potential study units within National Character Areas (NCAs), and test the use of NCAs as landscape units for landscape-scale monitoring. 4) Design a species monitoring strategy, including detailed field survey protocols, a framework to assess AES implementation, estimates of the replication required and indicative costs for landscape-scale monitoring of AES effects. 5) Scope analytical approaches to quantify the relationship between the extent of AES intervention and the responses of taxa at local and landscape scales, and including AES implementation success and key habitat variables. Consider the possible role of predictive modelling to scale up beyond those landscape areas monitored for responses to AES

Performance analysis of existing catfish and tilapia value chains and market systems in Nigeria: A post-farmgate value chain scoping study

Nigeria is the largest fish producer in Sub-Saharan Africa. Fish plays a crucial role in supporting the livelihoods of fish producers and actors along the post-farmgate value chain in the country. Despite the virtues of the aquaculture and fisheries subsectors to enhance the livelihoods of value chain actors, major gaps exist related to efficiencies of the fish value chain. These gaps include the financial performance of post-farmgate actors, gender-disaggregated data on value chain actors, the roles of women and youths in fish trade, and post-farmgate food safety practices. The aim of this study is to fill the data gap in the post-farmgate fish value chain to provide evidence-based policy suggestions to enhance the aquaculture subsector in Nigeria. Using primary data, our study provides evidence on the economic, environmental, social, nutritional and food safety performance of the post-farmgate fish value chain. Our study finds that, in general, fish value chains are economically viable (profitable) and inclusive, as women and youths own over half of post-farmgate value chain activities. These results are of interest to both private and public sector decision-makers and policymakers because they provide quantitative data on value creation (fish sales, employment, service provision), social performance (women and youth empowerment), and environmental, nutritional and food safety challenges along fish value chains