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Uncertainty assessment of a polygon database of soil organic carbon for greenhouse gas reporting in Canada’s arctic and sub-arctic

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Information Processing in Agriculture 2014年第1期1卷 34-41页

作者： M.F.Hossain Yu Zhang W.Chen American International University-Bangladesh Kamal Ataturk AvenueBananiDhaka 1213Bangladesh Canada Center for Mapping and Earth Observation Natural Resources Canada560 Rochester StreetOttawaON K1S 4M2Canada

Canada’s arctic and sub-arctic consist 46%of Canada’s landmass and contain 45%of the total soil organic carbon(SOC).Pronounced climate warming and increasing human disturbances could induce the release of this SOC to the atmosphere as greenhouse *** is committed to estimating and reporting the greenhouse gases emissions and removals induced by land use change in the arctic and *** assess the uncertainty of the estimate,we compiled a site-measured SOC database for Canada’s north,and used it to compare with a polygon database,that will be used for estimating SOC for the UNFCCC *** 10 polygons where 3 or more measured sites were well located in each polygon,the site-averaged SOC content agreed with the polygon data within±33%for the top 30 cm and within±50%for the top 1 m *** we directly compared the SOC of the 382 measured sites with the polygon mean SOC,there was poor agreement:The relative error was less than 50%at 40%of the sites,and less than 100%at 68%of the *** relative errors were more than 400%at 10%of the *** comparisons indicate that the polygon database is too coarse to represent the SOC conditions for individual *** difference is close to the uncertainty range for *** spatial database could be improved by relating site and polygon SOC data with more easily observable surface features that can be identified and derived from remote sensing imagery.

关键词： arctic and sub-arctic SOC Uncertainty analysis

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