As the largest carbon reservoir in ecosystems, soil accounts for more than twice as much carbon storage as that of vegetation biomass or the atmosphere. The goal of this study is toexaminespatialpatternsofsoilorganiccarbon(SOC)inCanadian forestarea at an eco-region scale and to explore its relationship with different ecological variables. In this study,thefirstCanadianforestsoildatabasepublishedin1997by theCanadaForest Servicewasanalyzedalongwithotherlong-termeco-climatic data(1961to1991) including precipitation, air temperature, Normalized Difference Vegetation Index (NDVI), slope,aspect,and elevation. Additionally,aneco-region frameworkestablishedbythe Environment Canada was adopted in this study for SOC distribution assessment.Exploratory spatial data analysis techniques, with an emphasis on spatial autocorrelation analysis, were employed to explore how forest SOC was spatially distributed in Canada. Correlation analysis and spatial regression analysis were applied to determine the most dominant ecological factors influencing SOC distribution in different eco-regions. At the nationalscale,a spatialerrormodelwas builtup to adjustforspatialeffectsandto estimateSOCpatternsbasedonecologicaland ecosystemproperty factors. Usingthe significantvariablesderivedinthespatial errormodel,apredictiveSOCmapin Canadian forest area was generated.Findings from this study suggest that high SOC clusters tend to occur in coastal areas, while low SOC clusters occur in western boreal eco-region. In Canadian forest area, SOC patterns are strongly related to precipitation regimes. Although overall SOC distribution is influenced by both climatic and topographic variables, distribution patterns are shown todiffersignificantlyamongeco-regions, thusverifyingtheeco-region classification framework for SOC zonation mapping in Canada.
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Spatial Patterns of Soil Organic Carbon Distribution in CanadianForest Regions: An Eco-region Based Exploratory Analysis
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