CAJ | 학술논문

森林土壤有机碳（ SOC）深度分布模式影响其稳定性，一般下层SOC较上层稳定。笔者选取三峡库区秭归县马尾松林地、退耕林地、针阔混交林地等3类森林类型的黄壤、黄棕壤、石灰土、紫色土等4类土壤类型共12种组合，通过典型地段取样法构建研究区SOC密度的深度分布模型，确立模型参数与土壤性质的回归关系，确定土壤传递函数（ PTFs）方程式。结果表明：森林类型仅在土壤表层影响SOC密度，土壤类型对SOC密度影响不显著，土壤质地对各深度层SOC密度影响显著；黏土表层SOC密度比砂质土高，SOC密度随深度下降的速率受土壤质地和森林类型的影响，黏土SOC下降速率高于砂质土；通过森林类型和土壤质地信息，构建的模型可以预测SOC深度分布模式；运用构建的模型估算出三峡库区黑沟小流域30 cm土层内SOC储量约为（5290?32±74?85） t，0～100 cm 土层 SOC 储量约为（8280．87±120．98） t，0～30 cm 土层 SOC 储量约占整个剖面层的63．89％。
삼림토양유궤탄（ SOC）심도분포모식영향기은정성，일반하층SOC교상층은정。필자선취삼협고구자귀현마미송임지、퇴경임지、침활혼교임지등3류삼림류형적황양、황종양、석회토、자색토등4류토양류형공12충조합，통과전형지단취양법구건연구구SOC밀도적심도분포모형，학립모형삼수여토양성질적회귀관계，학정토양전체함수（ PTFs）방정식。결과표명：삼림류형부재토양표층영향SOC밀도，토양류형대SOC밀도영향불현저，토양질지대각심도층SOC밀도영향현저；점토표층SOC밀도비사질토고，SOC밀도수심도하강적속솔수토양질지화삼림류형적영향，점토SOC하강속솔고우사질토；통과삼림류형화토양질지신식，구건적모형가이예측SOC심도분포모식；운용구건적모형고산출삼협고구흑구소류역30 cm토층내SOC저량약위（5290?32±74?85） t，0～100 cm 토층 SOC 저량약위（8280．87±120．98） t，0～30 cm 토층 SOC 저량약점정개부면층적63．89％。
The stability of forest soil carbon ( SOC) at different soil depth profiles showed great discrepancy. It has been found that SOC in the subsoil is more stable than that in the topsoil. The depth distribution of SOC is essential to mitigate the effect of global climate change. Twelve combination plots consisting three forest types ( masson pine stand, reforest and mixed forest) and four soil groups ( yellow soil, yellow?brown soil, limestone soil, purplish soil) were employed by this study in Zigui county in Three Gorges Reservoir Area. A spatial distribution model for SOC mass density was estab?lished by typical sampling method. Applying PTFs ( Pedo?Transfer Functions ) relating to regression relationships between main parameters of the model and parameters of soil properties were verified. The results showed that forest type had a strong influence on SOC mass density in soil top layer, but soil group no significant. Soil texture determined the SOC density along the whole profile. SOC density near the surface of the profile was remarkably higher in clay textured soils than in sand’ s. The rate of decline of SOC density with depth depended on texture and forest type. The slower de?cline of SOC density with depth was in sandy soils than in clay soils. Using forest type and soil texture information, the spatial distribution model could be used to predict the pattern of distribution of SOC density by depth. Applying this es?tablished model, the total amount of SOC stored in forest land in Heigou watershed was obtained (5 290.32 ±74.85) t for the top 30 cm and (8 280.87±120.98) t for the top 100 cm. The amount of SOC stored in 0-30 cm accounted for 63?89% of that in whole profile.