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Strengthening Soil Analysis and Information Systems to Enhance Sustainable Soil Management and Support Evidence-Based Decision Making in Liberia - TCP/LIR/3804​








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    Brochure, flyer, fact-sheet
    Strengthening Soil Analysis and Information Systems to Enhance Sustainable Soil Management and Support Evidence-Based Decision-Making in Liberia | Project factsheet 2023
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    The project factsheet provides the basic information of the Technical Cooperation Programme (TCP) project "Strengthening Soil Analysis and Information Systems to Enhance Sustainable Soil Management and Support Evidence Based Decision Making in Liberia," implemented in Liberia in 2021-2023. It includes the project background, objectives, key partners and main achievements.
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    Project
    Strengthening Soil Laboratory Facilities and Performance to Support Evidence-Based Decision-Making - TCP/BHU/3703 2022
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    Bhutan is facing serious issues with land degradation, driven by unsustainable agricultural practices, such as overgrazing, as well as infrastructure construction lacking adequate environmental measures, including mining This is further problematic because Bhutan is a mountainous country, with existing land degradation problems, such as soil erosion, landslides and severe losses in soil fertility These issues further compound issues with agricultural productivity, the environment and food security and the overall quality of life Furthermore, the country lacks a national soil map and there is very limited data available on soil quality Existing soil data are outdated and scattered among institutions, often having been collected through ad hoc surveys, and fundamental data, such as geographic location description ( of sampling sites, is missing, with limited soil profiles mapped Analytical soil data is crucial for decision making regarding soil fertility, which impacts various key areas, including food security, agriculture, the environment, climate change and sustainable development.
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    Book (stand-alone)
    Promoting sustainable land management through evidence-based decision support
    A guide with country insights
    2023
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    This publication is a product of the GEF-funded FAO project ‘Decision Support for Mainstreaming and Scaling Out Sustainable Land Management (DS-SLM)’ which has developed a decision support framework (DSF). The DSF integrates experience from work with land degradation (LD) and SLM into an overall strategy for mainstreaming and scaling out SLM at different spatial and temporal scales. This publication serves as a step-by-step guide for the application and implementation of the DSF during planning, design and implementation of SLM interventions. It includes elements – both in its modules and proposed tools and methods – which can support countries in pursuing land degradation neutrality (LDN).

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