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Resultados de la búsqueda

Mostrando ítems 1 a 9 de 3.
  1. Library Resource
    Artículos de revistas y libros
    Abril, 2016
    Kazajstán, Kirguistán, Tayikistán, Turkmenistán, Uzbekistán, Asia central

    Land degradation is a major challenge for agricultural and rural development
    in Uzbekistan. Our research findings indicate that the costs of land
    degradation in Uzbekistan are substantial; reaching about 0.85 billion USD annually
    resulting from the loss of valuable land ecosystem services due to land use and
    land cover changes alone between 2001 and 2009. On the other hand, economic
    simulations also show that the returns from actions to address land degradation can
    be four times higher their costs over a 30-year planning horizon, i.e. every dollar

  2. Library Resource
    Artículos de revistas y libros
    Diciembre, 2016
    Global

    The Economics of Land Degradation (ELD) initiative seeks to develop a
    science basis for policy actions to address land degradation. The purpose of this
    chapter is to provide with a conceptual framework and sound and feasible
    methodological standards for ELD assessments at global and national levels. Only
    if some basic standards are identified and adhered to, comparative assessments can
    be conducted between countries and useful aggregation of findings, based on these
    case studies, can be achieved. Therefore, using the Total Economic Value

  3. Library Resource
    Artículos de revistas y libros
    Agosto, 2016
    Kazajstán, Kirguistán, Tayikistán, Turkmenistán, Uzbekistán, Asia central

    Land degradation affects negatively the livelihoods and food security of
    global population. There have been recurring efforts by the international community
    to identify the global extent and severity of land degradation. Using the long-term
    trend of biomass productivity as a proxy of land degradation at global scale, we
    identify the degradation hotspots in the world across major land cover types. We
    correct factors confounding the relationship between the remotely sensed vegetation

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