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http://dx.doi.org/10.11108/kagis.2012.15.1.016

Estimating Forest Carbon Stocks in Danyang Using Kriging Methods for Aboveground Biomass  

Park, Hyun-Ju (Environmental Strategy Research Group, Korea Environment Institute)
Shin, Hyu-Seok (Institute for Korean Regional Studies, Seoul National University)
Roh, Young-Hee (Department of Geography, Seoul National University)
Kim, Kyoung-Min (Division of Forest Resources Information, Korea Forest Research Institute)
Park, Key-Ho (Department of Geography, Seoul National University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.15, no.1, 2012 , pp. 16-33 More about this Journal
Abstract
The aim of this study is to estimate aboveground biomass carbon stocks using ordinary kriging(OK) which is the most commonly used type of kriging and regression kriging(RK) that combines a regression of the auxiliary variables with simple kriging. The analysis results shows that the forest carbon stock in Danyang is estimated at 3,459,902 tonC with OK and 3,384,581 tonC with RK in which the R-square value of the regression model is 0.1033. The result of RK conducted with sample plots stratified by forest type(deciduous, conifer and mixed) shows the lowest estimated value of 3,336,206 tonC and R-square value(0.35 and 0.18 respectively) is higher than that of when all sample plots used. The result of leave-one-out cross validation of each method indicates that RK with all sample plots reached the smallest root mean square error(RMSE) value(22.32 ton/ha) but the difference between the methods(0.23 ton/ha) is not significant.
Keywords
Forest; Aboveground Biomass; Carbon Stock; Regression Kriging; Auxiliary Variables; Danyang;
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