Résultats de la recherche | Land Portal

Résultats de la recherche

Showing items 1 through 9 of 138.
  1. Library Resource
    Final evaluation Maghreb
    Rapports et recherches
    juillet, 2020
    Maroc, Tunisie, Mauritanie

    The Maghreb's oases systems provide a major contribution to the region's food security, economy and natural resources. Despite this potential, oasis ecosystems are threatened by a range of complex factors related to the expansion of agricultural land and increasing scarcity of water resources. The project, implemented by FAO in Tunisia, Morocco and Mauritania from May 2016 to December 2019, brought together key stakeholders to address the lack of available information on the status of oases and to advocate on factual bases shared by all stakeholders and verifiable in the field.

  2. Library Resource
    Eroding Rivers, Eroding Livelihoods in Bangladesh
    Rapports et recherches
    décembre, 2010
    Bangladesh

    Bangladesh is the most densely populated country in the world. Its 144,000 square kilometres are home to an estimated 150 million people. About 45 percent (2004) of them live below the national poverty line and around 36 percent are living on US$ 1 per day. Agriculture contributes largely to the national economy, with 60 percent of employment provided by the agricultural sector (including crops, livestock, fisheries and forestry) in 1995/6. Rural poverty is highest but urban poverty is growing.

  3. Library Resource
    Manuels et directives
    mars, 2015
    Global

    This guide provides guidance for producers, governments, legal advisors and civil society on contract farming arrangements, from negotiation to conclusion, including performance and possible breach or termination of the contract. It gives a description of common contract terms and a discussion of legal issues and critical problems that may arise under various practical situations, illustrating how they may be treated under different legal systems.

  4. Library Resource
    Manuels et directives
    octobre, 2016
    Global

    This guide aims to help enterprises observe standards of responsible business conduct and undertake due diligence along agricultural supply chains in order to ensure that their operations contribute to sustainable development. It provides information on

    • a model enterprise policy outlining the standards that enterprises should observe to build responsible agricultural supply chains,

  5. Library Resource
    Manuels et directives
    octobre, 2016
    Global

    La Guía OCDE-FAO para la cadena de suministro responsable para el sector agrícola, en adelante “la Guía”, es una, dentro de varias guías desarrolladas por la OCDE para ayudar  a las empresas a adoptar estándares de conducta empresarial responsable a lo largo de las cadenas de suministro agrícola, incluyendo las Líneas Directrices de la OCDE para Empresas Multinacionales, los Principios para la Inversión Responsable en la Agricultura y los Sistemas Alimentarios y las Directrices Voluntarias sobre la Gobernanza Responsable de la Tenencia de la Tierra, la Pesca y los Bosques en el Contexto de

  6. Library Resource
    Articles et Livres
    décembre, 2018
    Nicaragua, Bolivie

    Este manual tiene como objetivo familiarizar a los usuarios de la herramienta FAO-ASIS País con la conversión de datos del Sistema de Información Geográfica (SIG) a los formatos adecuados para alimentar la herramienta.

  7. Library Resource
    Articles et Livres
    décembre, 2018
    Mozambique, Bangladesh, États-Unis d'Amérique, Philippines, Haïti, Japon, Chili, Chine, Myanmar, Indonésie, Portugal, Irlande, Canada, Argentine, Royaume-Uni, Italie, Sri Lanka, Mexique, Nouvelle-Zélande

    This new guide describes the application of spatial technology to improve disaster risk management (DRM) within the aquaculture sector. DRM requires interrelated actions and activities to ensure early warning, prevention, preparedness, response and recovery for a wide range of natural, technological and complex disasters that can impact aquaculture operations and livelihoods.<p></p><p></p>Spatial technology refers to systems and tools that acquire, manage and analyse data that have geographic context.

  8. Library Resource
    Articles et Livres
    juin, 2018
    France, Belgique, États-Unis d'Amérique, Philippines, Canada, Nicaragua, Bulgarie, Madagascar, Danemark, Luxembourg, Pologne, Pays-Bas, Venezuela, Nouvelle-Zélande, Brésil, Ghana

    La première édition de la Base de référence mondiale pour les ressources en sols (WRB) a été publiée lors du 16ème Congrès Mondial de la Science du Sol à Montpellier en 1998. Lors du même événement, elle fut adoptée comme système de corrélation des sols et de communication internationale de l'Union Internationale des Sciences du Sol (IUSS). La seconde édition de la WRB a été publiée au 18ème Congrès Mondial à Philadelphie en 2006.<p></p>Après huit années de tests intensifs et de collectes de données dans le monde entier, la troisième édition de la WRB est publiée en 2014.

  9. Library Resource
    Articles et Livres
    décembre, 2018
    Mozambique, Bangladesh, États-Unis d'Amérique, Philippines, Haïti, Japon, Chili, Chine, Myanmar, Indonésie, Portugal, Irlande, Canada, Argentine, Royaume-Uni, Italie, Sri Lanka, Mexique, Nouvelle-Zélande

    This new guide describes the application of spatial technology to improve disaster risk management (DRM) within the aquaculture sector. DRM requires interrelated actions and activities to ensure early warning, prevention, preparedness, response and recovery for a wide range of natural, technological and complex disasters that can impact aquaculture operations and livelihoods. <p></p>Spatial technology refers to systems and tools that acquire, manage and analyse data that have geographic context.

  10. Library Resource
    Matériels institutionnels et promotionnels
    août, 2018
    Kenya, Soudan du Sud, Soudan, Éthiopie, Ouganda

    The new land cover dataset will allow mapping of natural resources, human settlements and human activities in South Sudan and within neighboring countries. It will represent the most innovative and updated dataset developed for South Sudan, integrating high-resolution multi-temporal imagery, object-based image analysis<p></p>and machine-learning algorithms and LCML to support the Natural Resource Management strategy and land use planning.

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