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Mapping global urban and rural population distributions

Estimates of future global population distribution to 2015












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    Book (stand-alone)
    Mapping biophysical factors that influence agricultural production and rural vulnerability 2007
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    This monograph is part of a series of reports that explain how techniques of spatial analysis can be used to investigate poverty and environment links worldwide. It combines rural population distribution data contained in the global rural population database for the year 2000 (FAO, 2005) with methods and results of the Global agro-ecological assessment for agriculture in the 21st Century (Fischer et al., 2002), in order to estimate the distribution of the world’s rural population by agri cultural suitability class, land use category and type of farming system. Refinements in GIS databases and analysis techniques have been developed collaboratively by FAO and IIASA in the project Improving Methods for Poverty and Food Insecurity Mapping and its Use at Country Level, which was jointly implemented by FAO, UNEP/GRID-Arendal and CGIAR centers and funded by the Government of Norway. The report considers the constraints imposed by environmental conditions at different levels of human input, evaluates agricultural production potential of the world’s land area at a resolution of 5 arc-minutes (about 85 square kilometre at the equator), and reports on rural habitation in relation to agricultural production potential, land use patterns and farming systems. Other related reports are: A geospatial framework for the analysis of poverty and environment links, Mapping global urban and rural population distributions and Food Insecurity, Poverty and Environment Global GIS Database (FGGD) and Digital Atlas for the Year 2000.
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    Book (stand-alone)
    Wood-energy supply/demand scenarios in the context of poverty mapping
    A Wisdom case study in Southeast Asia for the years 2000 and 2015
    2007
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    Current (2000) and projected (2015) woodfuel consumption patterns and supply potentials in continental Southeast Asia are analysed and mapped applying the Woodfuel Integrated Supply/Demand Overview Mapping (WISDOM) methodology. Combined with poverty data, the study helps define areas where poor rural and suburban populations that depend primarily on woodfuels for their subsistence energy supply are likely to suffer severe shortages, adding an indicator to the mapping of extreme poverty a nd a new tool for poverty alleviation policies and forestry and energy development planning. Integrating several cartographic layers with multi-source field data provides maps of woody biomass stocking and potential sustainable productivity in 2000 and 2015 at a spatial resolution of less than 1 km. Woody biomass consumption maps matching the resolution of supply maps, coupled with likely population distribution in 2015 and model projections of woodfuel consumption, give future consump tion scenarios. Combining these yields balance maps of woodfuel deficit and surplus areas. This study is a starting point for expanding work in the agro-energy sector, which can benefit from the approach, the GIS analytical environment, the additional thematic layers and the nexus with forestry, energy and poverty alleviation issues.

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