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GeOSIRIS is a national-level REDD (Reducing Emissions from Deforestation and forest Degradation) planning tool that quantifies and maps the impacts of REDD policies on deforestation, carbon emissions, agricultural revenue, and carbon payments. Whereas LCM’s tools are appropriate for the development and assessment of individual projects, GeOSIRIS is oriented to the evaluation of alternative economic policy decisions for reducing greenhouse gas emissions and distributing REDD revenues. This application is a spatial implementation of the OSIRIS economic model created by Conservation International, the World Resources Institute and the Environmental Defense Fund. The model requires map layers of forest cover, forest cover change (which can be output from LCM), biomass, soil carbon, peat, potential agricultural revenue, site accessibility and administrative divisions (at multiple levels). Parameters include the global price of carbon, the national reference level for emissions as a proportion of business-as-usual, national/sub-national proportional cost/benefit sharing, price elasticity of demand for agriculture on newly deforested land and exogenous increases in price due to changes in demand. With these inputs, users can calculate the effective opportunity cost to establish the relationship between deforestation and potential agricultural revenue. Following this, a wide variety of map outputs can be produced including expected carbon emissions with and without the REDD policy in place, agricultural revenue, expected deforestation, cost efficiency of emissions reductions, and so on.



GeOSIRIS is a national-level planning tool for REDD (Reducing Emissions from Deforestation and forest Degradation). Developed in partnership with Conservation International, GeOSIRIS allows the user to specify the price of carbon, national level objectives for carbon emissions, the distribution of offset income between national and local levels, and a variety of economic parameters such as price elasticity of demand for agriculture on newly deforested land. GeOSIRIS empirically determines the effective opportunity cost based on a set of environmental variables and a provided map of potential agricultural revenue. Outputs include maps of expected carbon emissions with and without the proposed REDD policy as in the example for Indonesia above.