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Woodfuel Integrated Supply / Demand Overview Mapping (WISDOM)

Slovenia Spatial woodfuel production and consumption analysis







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    Book (stand-alone)
    WOODFUELS INTEGRATED SUPPLY/DEMANDOVERVIEW MAPPING
    METHODOLOGICAL APPROACH FOR ASSESSING WOODFUEL SUSTAINABILITY AND SUPPORTING WOOD ENERGY PLANNING
    2003
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    In this paper, it is argued that adequately assessing the implications of the current patterns of woodfuel production and use and the sustainable potentials of woodfuel resources, particularly within developing countries, requires a holistic view and a better knowledge of the spatial patterns of woodfuel supply and demand. There is a need to conduct multi-scale spatially-explicit analyses of woodfuel supply and demand that are able to articulate the local heterogeneity into the regional and nati onal levels. Studies that provide full-country coverage and are based on a consistent integration of data at lower geographical scales are critically lacking. These studies should be based on a spatial representation of woodfuel use and production patterns in order to identify priority areas and hot spots for intervention.
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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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