Sensitivity analysis and calibration of a soil carbon model (SoilGen2) in two contrasting loess forest soils

Sensitivity analysis and calibration of a soil carbon model (SoilGen2) in two contrasting loess forest soils
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两种对比黄土森林土壤中土壤碳模型(SoilGen2)的敏感性分析和校准

DOI:
10.5194/gmd-6-29-2013
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发表时间:
2012-07
影响因子:
5.1
通讯作者:
Guo Z T
Guo Z T
中科院分区:
地球科学2区
文献类型:
--
作者:
Yu Y Y;Finke P A;Wu H B;Guo Z T

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抽象的。准确估计过去的陆地碳库是理解全球碳循环及其与气候系统关系的关键。SoilGen2是一个通过模拟土壤形成过程来获取土壤性质(包括碳含量)的有用工具,因此它为过去的土壤碳库重建和未来的碳库预测提供了机会。为了将其应用于不同的环境条件,基于两个典型的黄土沉积区(比利时和中国)的6个土壤层,标定了与土壤碳循环过程有关的参数。Morris方法的敏感性分析表明,腐殖质分解速率(Khum)、入地植物凋落物比例(Frecto)和抗性植物分解速率(KRPM)是造成两个地区土壤有机碳模拟变化的最大不确定性的三个最敏感参数。根据比较质量指标使有机碳模拟值与实测值之差最小的原则,逐步推导出模型中kum、frecto和krpm的适宜值,并对独立土壤层进行了验证。比利时和中国校准参数的差异可能是由于它们的植被类型和气候条件不同所致。该校准模型可以更准确地模拟整个土壤中的碳变化,并有可能在未来对长时间尺度上的碳循环进行建模。
Abstract. To accurately estimate past terrestrial carbon pools is the key to understanding the global carbon cycle and its relationship with the climate system. SoilGen2 is a useful tool to obtain aspects of soil properties (including carbon content) by simulating soil formation processes; thus it offers an opportunity for both past soil carbon pool reconstruction and future carbon pool prediction. In order to apply it to various environmental conditions, parameters related to carbon cycle process in SoilGen2 are calibrated based on six soil pedons from two typical loess deposition regions (Belgium and China). Sensitivity analysis using the Morris method shows that decomposition rate of humus (kHUM), fraction of incoming plant material as leaf litter (frecto) and decomposition rate of resistant plant material (kRPM) are the three most sensitive parameters that would cause the greatest uncertainty in simulated change of soil organic carbon in both regions. According to the principle of minimizing the difference between simulated and measured organic carbon by comparing quality indices, the suited values of kHUM, (frecto and kRPM in the model are deduced step by step and validated for independent soil pedons. The difference of calibrated parameters between Belgium and China may be attributed to their different vegetation types and climate conditions. This calibrated model allows more accurate simulation of carbon change in the whole pedon and has potential for future modeling of carbon cycle over long timescales.
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