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Testing the RothC and DNDC models against long-term dynamics of soil organic carbon stock observed at cropping field soils in North China

文献类型： 外文期刊

作者： Li, Shumin 1 ; Li, Jumei 1 ; Li, Changsheng 2 ; Huang, Shaomin 3 ; Li, Xiuying 1 ; Li, Shengxiu 4 ; Ma, Yibing 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China

2.Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USA

3.Henan Acad Agr Sci, Inst Plant Nutr Resources & Environm, Zhengzhou 450002, Henan, Peoples R China

4.Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Shanxi, Peoples R China

5.Univ Jinan, Sch Resources & Environm, Jinan 250022, Shandong, Peoples R China

关键词： Long-term change;Soil organic carbon;DNDC;RothC

期刊名称：SOIL & TILLAGE RESEARCH （ 影响因子：5.374； 五年影响因子：6.368 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： RothC and DNDC, two process-based agroecosystem models widely utilized for quantifying soil carbon (C) sequestration, were tested against datasets of soil organic carbon (SOC) measured in two long-term experiments with winter wheat-summer maize rotation at field soils in North China. In the study, the two models were utilized in conjunction in three modes, i.e., using DNDC alone, using RothC driven by soil C inputs of measured crop residue, and using RothC driven by soil C inputs derived from DNDC simulations. In general, results from the three ways of simulations were in agreement with the measured SOC dynamics for the two experimental sites with varied treatments. However, discrepancies in the results revealed the differences between the two models regarding their functionality. The simulations with RothC driven by the measured crop residue as C input produced the best results on SOC dynamics in comparison with observations. Results from the simulations with DNDC alone were less correlated to observations mainly due to the approximation of the modeled amount of crop residue. Due to the same reason, the simulations with RothC but driven by DNDC-modeled crop residue poorly fit to observations. The results conclude that given the similarity between RothC and DNDC regarding their routines modeling SOC transformations it is crucial for improving the models' performance to provide accurate C input data (mainly crop residue) to the SOC turnover modules in the models. (C) 2016 Elsevier B.V. All rights reserved.

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