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Introduction : Bioenergy continue to contribute significantly to the total energy consumption. In sectors such as domestic and rural industries sector, they play a critical role. In this context it is necessary that the regional planning exercises formulate policies to develop sustainable bioenergy systems consistent with the objectives of ecodevelopment and environmental conservation. However, lack of adequate relevant information on a different bioenergy resources in a regional planning framework hamper efforts to develop alternatives to achieve multiple goals set by environmental objectives and the energy demand on the resource. This paper provides insight to the bioresource inventory using spatial and temporal tools and implications on policy structures are examined. Detailed planning would be required from National, to State, to District, to Taluk and village levels. The inappropriate selection and site matching of species or management strategies can have adverse effects and lead to degradation and abandonment of land. However, the correct selection of plant species can allow the economic production of energy crops in areas previously capable of only low plant productivities. Simultaneously multiple benefits may accrue to the environment. Such selection strategies allow synergistic increases in food crop yield and decreased fertiliser applications while providing the local source of energy and employment. Bioresources play a dominant role in the energy balance of various states in India, and shortages of bioenergy exist in many regions. One of the important databases needed for management of forests , regional energy planning, etc. is the total quantity of biomass per unit area referred to as biomass density. This also aides in estimating emissions of carbon dioxide resulting from changes in the vegetation cover. Bioresource inventories have shown to be valuable sources of data for estimating biomass density, but inventories for any states in India are few in number and poor in their quality. This lack of reliable data has been overcome by use of a promising approaches that produces geographically referenced, estimates by modelling in a geographic information system. (GIS) and remotely sensed data. This approach used to produce geographically referenced, spatial distributions of potential and actual above ground biomass density in Kolar district. Multi temporal satellite imagery (LISS III) with GIS would help in developing agro ecological zones in the district - as the first stage of a multi level sampling frame for estimating available bioresources. Use of multi stage sampling design enables a regional inventory of bio resources inventory quickly and effectively. Automated selection of sampling units from digitally classified satellite imagery are proved very efficient, and the methodology for deriving sampling expansion factors makes the result highly robust with respect land cover classification accuracy. The regional agro ecological zones provides a consistent sampling frame to identify the bioresource status (surplus / deficit). The methodology could be successfully applied to other regions / states. The resource base in Kolar under each sector such as forests, agriculture, horticulture and animal residues are analysed spatially. |
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Abstract