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Showing items 1 through 9 of 4.
  1. Library Resource
    Reports & Research
    December, 2010
    Africa, Libya, Sudan, Burundi, Ethiopia, Kenya, Rwanda, Somalia, Tanzania, Uganda, Cameroon, Namibia, Burkina Faso, Ghana, Liberia, Nigeria, Sierra Leone, Panama, Brazil, Jordan, Romania, United Kingdom, Germany, Samoa

    The Eastern and Anglophone Western Africa Regional Assessment meeting was organized by a task force consisting of FAO, the United Nations Economic Commission for Africa, African Land Policy Initiative, the United Nations World Food Programme, United Nations Development Programme, the International Fund for Agricultural Development and the United Nations Human Settlements Programme officials in Ethiopia.

  2. Library Resource
    Journal Articles & Books
    November, 2018
    Serbia, Nepal, France, North Macedonia, Nigeria, Kenya, Tajikistan, Kyrgyzstan, Ethiopia, China, Cameroon, Tanzania, Bulgaria, Spain, India, South Sudan, Sudan, Pakistan, Niger, Eritrea, Mongolia

    In many countries, pastoralism has historically been practiced in areas that are now partitioned by international boundaries. This is a major barrier to sustainable resource management and to pastoral development. However, there are examples from around the world of efforts to facilitate transboundary movements and transboundary ecosystem management by pastoralists. This report examines how pastoral mobility has been impacted by the creation of unnatural boundaries within their landscapes and how societies cope with these constraints through legal or informal arrangements.

  3. Library Resource
    Institutional & promotional materials
    August, 2018
    Kenya, South Sudan, Sudan, Ethiopia, Uganda

    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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