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Showing items 1 through 9 of 59.
  1. Library Resource
    Manuals & Guidelines
    May, 2017

    This is the user guide of the The Global Geo-Informatics Options by Context (GeOC) tool. The Global Geo-informatics Context and Options (GeCO) is a new web-based GIS tool that enables its users to define, monitor, assess and co-create knowledge and learning on relevant Sustainable Land Management (SLM) options that match the social-ecological context at global, regional and national scales

  2. Library Resource
    Manuals & Guidelines
    June, 2018
    Vietnam, Asia, South-Eastern Asia

    Participatory land-use planning (PLUP) refers to a bottom-up method of analyzing land and water resources. In its current form, PLUP integrates inputs about climate change and sea level rise to help the community utilize the resources within its vicinities. In utilizing its resources, the community will be able to improve the people’s livelihoods and help them sustain such resources for the benefit of the next generations. This publication in implementing PLUP focused on climate-smart adaptation in Climate-Smart Villages (CSVs).

  3. Library Resource
    Manuals & Guidelines
    April, 2018
    Algeria, Burkina Faso, Nigeria, Mauritania, Mali, Ethiopia, Eritrea, Cameroon, South Sudan, Central African Republic, Senegal, Chad, Niger, Sudan, Africa, Eastern Africa
  4. Library Resource
    Manuals & Guidelines
    December, 1999

    Geographical information systems (GIS) assist us in mapping and analyzing outbreaks of diseases in plants, animals and humans. This paper describes how GIS are being used to model the intensity of the outbreak of a plant virus, bean golden mosaic virus (BGMV) in Guatemala, Honduras and El Salvador. BGMV is a geminivirus affecting beans (Phaseolus vulgaris) and is transmitted by a vector, the sweet potato whitefly (Bemisia tabaci). Once a plant is infected by the virus yield losses, at varying locations, can range from 40% to 100%.

  5. Library Resource
    Manuals & Guidelines
    November, 2009
    Kenya, Eastern Africa

    This paper evaluates the effectiveness of a new index-based livestock insurance (IBLI)

    product designed to compensate for area average predicted livestock mortality loss in

    northern Kenya, where previous work has established the presence of poverty traps. We

    simulate household-specific wealth dynamics based on a model parameterized using rich

    panel and experimental data from the region. The simulations allow us to investigate

    patterns of willingness to pay for asset index insurance that is imperfectly correlated with

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