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A Framework Combining CENTURY Modeling and Chronosequences Sampling to Estimate Soil Organic Carbon Stock in an Agricultural Region with Large Land Use Change

文献类型： 外文期刊

作者： Liu, Xiaoyu 1 ; Chen, Yin 1 ; Liu, Yang 3 ; Wang, Shihang 6 ; Jin, Jiaming 1 ; Zhao, Yongcun 4 ; Yu, Dongsheng 4 ;

作者机构： 1.Jiangsu Vocat Coll Agr & Forestry, Sch Informat Engn, Jurong 212400, Peoples R China

2.Yangzhou Univ, Coll Plant Protect, Yangzhou 225009, Peoples R China

3.Jiangsu Acad Agr Sci, Inst Agr Informat, Nanjing 210014, Peoples R China

4.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China

5.Jiangsu Univ, Sch Agr Engn, Zhenjiang 212013, Peoples R China

6.Anhui Univ Sci & Technol, Sch Geomatics, Huainan 232001, Peoples R China

关键词： soil organic carbon (SOC); CENTURY modeling (CM); land use change; chronosequences sampling (CS); vegetable cultivation

期刊名称：AGRONOMY-BASEL （ 影响因子：3.7； 五年影响因子：4.0 ）

ISSN：

年卷期： 2023 年 13 卷 4 期

页码：

收录情况： SCI

摘要： Agricultural land use has a remarkable influence on the stock and distribution of soil organic carbon (SOC). However, both regional soil sampling and process-based ecosystem models for SOC estimation at the regional scale have limitations when applied in areas with a large land use change. In the present study, a framework (CMCS) combining CENTURY modeling (CM) and chronosequences sampling (CS) was established, and a case study was conducted in Cangshan County, where vegetable cultivation conversion from grain production was significant in recent decades. The SOC stock (SOCS) of the non-vegetable area estimated by CM was comparable to that estimated by regional soil sampling in 2008. This result confirmed that CM was reliable in modeling SOC dynamics in a non-vegetable area without land use change. However, when applied to the overall cropland of Cangshan County, the CM, without considering the land use change, underestimated the SOCS by 0.23 Tg (6%), compared with the observed measurements (3.58 and 3.81 Tg, respectively). Using the CMCS framework of our study, the underestimation of CM was offset by the SOC sequestration estimated by CS. The SOCS estimated by the CMCS framework ranged from 3.72 to 4.02 Tg, demonstrating that this framework is reliable for the regional SOC estimation of large-area land use change. In addition, annual SOCS dynamics were obtained by this framework. The CMCS framework provides a low-cost and practicable method for the estimation of the regional SOC dynamic, which can further support the strategy of carbon peaking and carbon neutrality in China.

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