首页|National variability in soil organic carbon stock predictions:Impact of bulk density pedotransfer functions
National variability in soil organic carbon stock predictions:Impact of bulk density pedotransfer functions
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Accurate soil organic carbon storage(SOCS)estimation is crucial for sustaining ecosystem health and mitigating climate change impacts.This study investigated the accuracy and variability of SOCS pre-dictions,focusing on the role of pedotransfer functions(PTFs)in estimating soil bulk density(BD).Uti-lizing a comprehensive dataset from the Korean Rural Development Administration(RDA database),which includes 516 soil horizons,we evaluated 36 widely-used BD PTFs,well-established formulas that estimate BD by considering soil properties,including soil organic carbon(SOC),soil organic matter(OM),sand,gravel,silt,and clay.These PTFs demonstrated varying levels of precision,with root mean squared errors(RMSE)ranging from 0.177 to 0.377 Mg m-3 and coefficients of determination(R2)from 0.176 to 0.658;hence,the PTFs have been classified into excellent,moderate,and poor-performing groups for predicting BD.Further,a novel PTF based on an exponential function of SOC was developed,showing superior predictive power(R2=0.73)compared to existing PTFs,using an independent validation dataset.Our findings reveal significant differences in SOCS predictions and observations among the PTFs,with a p-value＜0.05.The highest concentrations of SOCS were noted in forest soils,considerably above the national average,highlighting the importance of tailored soil management practices to enhance carbon sequestration.These findings are crucial for refining PTF precision to improve the accuracy of national SOCS estimates,supporting effective land management and climate change mitigation strategies.
RDA databaseSoil organic carbon stock predictionPedotransfer functionBayesian model averageRegression method
May-Thi Tuyet Do、Linh Nguyen Van、Xuan-Hien Le、Giang V.Nguyen、Minho Yeon、Giha Lee
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Department of Advanced Science and Technology Convergence,Kyungpook National University,2559 Gyeongsang-daero,Sangju-si,37224,South Korea
Disaster Prevention Emergency Management Institute,Kyungpook National University,2559 Gyeongsang-daero,Sangju-si,37224,South Korea
Thuyloi University,175 Tay Son,Dong Da,Hanoi,10000,Viet Nam
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