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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/5053 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/5053 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/5053 archive 351 disk0/00/00/74/24 2016-01-15 02:17:17 2021-08-27 17:18:51 2016-01-15 02:17:17 monograph show 2 Benitez P.C. 7946 McCallum I. 1731 0000-0002-5812-9988 Obersteiner M. 7255 0000-0001-6981-2769 Yamagata Y. 8651 pub iis_env iis_for prog_for We have provided a framework for Identifying least-cost sites for carbon sequestration and deriving carbon sequestration cost curves at a global level in a scenario of limited information. The method is based on determining sequestration costs for geographical explicit units (50km grid cells), based on GIS parameters on land-use and ecosystem properties, and aggregated economic data. Special attention is given to country risk considerations and the sensitivity to special datasets. Our model results suggest that within 20 years and considering a carbon price of $50/tC, afforestation could offset one year of global carbon emissions in the energy sector. However, if we account for country risk considerations - associated with political, economic and and financial risks - the carbon supply is reduced to about 60%. With respect to the geography of supply, illustrated by grid-scale maps, we find that most least-cost projects projects are located in Africa, South America and Asia, assuming a 5% discount rate without risk. Once risk is factored into the equation, these countries become more expensive to operate in. 2004-05 published IR-04-022 IR-04-022 1147 202 219 336 public interim_report IIASA, Laxenburg, Austria 27 FALSE info:eu-repo/semantics/book