AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (9.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Modelling spatio-temporal dynamics of soil organic carbon in paddy soil by coupling digital soil mapping with a process model

Zheng Wang1,2Songchao Chen1,2,3Ruiying Zhao4Jie Xue5Qiangyi Yu6Danqing Wei1,2,7Wei Chen8Qichun Zhang1,2Zhou Shi1,2( )
State Key Laboratory of Soil Pollution Control and Safety, Zhejiang University, Hangzhou 310058, China
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, China
Department of Geography, National University of Singapore, Singapore 117570, Singapore
Department of Land Management, Zhejiang University, Hangzhou 310058, China
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Zhejiang Economic Information Center, Hangzhou 310006, China
Bureau of Agriculture and Rural Affairs of Jiashan County, Jiaxing 314100, China
Show Author Information

Highlights

• The Well-facilitated Farmland Construction Project can prevent soil organic carbon (SOC) loss.

• The temporal variation of SOC density (SOCD) is influenced by straw incorporation and irrigation.

• Coupling the digital soil mapping (DSM) and CENTURY is an effective approach to simulate the SOC dynamics.

Abstract

Soil organic carbon (SOC) plays a crucial role as a nutrient trigger and directly impacts soil health and agricultural productivity. In China, the Well-facilitated Farmland Construction (WFC) Project is a comprehensive agricultural management strategy, changing the soil environment and then influencing the SOC dynamics. However, the long-term trajectory of SOC under the implementation of the WFC Project remains unclear. To address this knowledge gap, this study focused on farmland in southeastern China that completed the WFC Project in 2022. A total of 202 topsoil samples (0–20 cm) were collected from the regional paddy soil in 2023. Using digital soil mapping (DSM) and the CENTURY model, we delineated key soil properties and simulated the spatio-temporal changes of SOC density (SOCD). The results revealed that the SOCD ranged from 1.23 to 6.35 kg m–2, with an average value of 3.68 kg m–2 in 2023. Soil pH, clay, and sand content were primary factors influencing SOCD distribution. According to CENTURY model simulations, SOCD exhibited a declining trend from 2010 to 2021, while it was projected to increase from 2022 to 2030 following the WFC implementation, which could be attributed to enhancements in irrigation and straw incorporation. Besides, the scenario without WFC results shows that SOCD would decline from 2022 to 2030, underscoring the project’s effectiveness in preventing SOC loss for paddy soil. The spatial patterns of SOCD in 2021 and 2030 were similar, and the low-value areas showed faster increase rates than the areas with high SOCD levels, indicating that the specific field plots with lower SOCD levels could sequester more carbon with improved soil management. In conclusion, the WFC Project can potentially increase SOC sequestration in the paddy soil and grain yield, ensuring food security and addressing climate change.

References

【1】
【1】
 
 
Journal of Integrative Agriculture (JIA)
Pages 3440-3452

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Wang Z, Chen S, Zhao R, et al. Modelling spatio-temporal dynamics of soil organic carbon in paddy soil by coupling digital soil mapping with a process model. Journal of Integrative Agriculture (JIA), 2026, 25(8): 3440-3452. https://doi.org/10.1016/j.jia.2025.11.006

5

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Received: 04 July 2025
Revised: 24 September 2025
Accepted: 09 October 2025
Published: 07 November 2025
© 2026 CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer review under responsibility of Editorial Board of Journal of Integrative Agriculture.