Simulation soil organic carbon change in China's Tai-Lake paddy soils

• Published in: Soil & tillage research 2012-05, Vol.121, p.1-9
• Main Authors: Zhang, L.M., Yu, D.S., Shi, X.Z., Xu, S.X., Wang, S.H., Xing, S.H., Zhao, Y.C.
• Format: Article
• Language: English
• Subjects: 1:50,000 soil database; Agronomy. Soil science and plant productions; Biological and medical sciences; Chemical, physicochemical, biochemical and biological properties; Denitrification–decomposition (DNDC); Fundamental and applied biological sciences. Psychology; Organic matter; Paddy soil; Physics, chemistry, biochemistry and biology of agricultural and forest soils; Soil organic carbon; Soil science; Tai-Lake region
• ISSN: 0167-1987; 1879-3444
• DOI: 10.1016/j.still.2012.01.010

► SOC change was estimated by a detailed soil polygon-based modeling method. ► Simulation results were compared with the 1033 soil sampling sites in the study area. ► We identified the C change in soil subgroups, sub-regions and administrative area. Regional soil organic carbon (SOC) modeling is the dominant approach for regional and global carbon cycling assessment, but the models are often applied to regions with high heterogeneity that are not adequately represented by the spatially limited soil data. This study used version 9.1 of the denitrification–decomposition (DNDC) model with the most detailed soil database for the paddy region of China. The database is a 1:50,000 record derived from 1107 paddy soil profiles with 52,034 polygons. The simulations suggested that the 2.3Mha of paddy soils in the Tai-Lake region had a net sequestration of about 1.48TgC from 1982 to 2000, with the annual SOC change ranging from −45 to 92kgCha−1y−1. In general, paddy soils in the Tai-Lake region were a weak sink of atmospheric CO2. Highest SOC loss (−201kgCha−1y−1) was associated with the gleyed paddy soil subgroup. Highest SOC sequestration (205kgCha−1y−1) was associated with the submergenic paddy soil subgroup. On a regional basis, model simulations indicated a C loss in the polder region (−39kgCha−1y−1), but this was offset by increases in the alluvial plain (104kgCha−1y−1), low mountainous and hilly region (87kgCha−1y−1), and Tai-Lake Plain (7kgCha−1y−1). At the administrative scale, SOC of most counties in Zhejiang Province decreased, while it increased in Jiangsu Province and Shanghai City. Overall, the SOC change in the Tai-Lake region was strongly influenced by paddy subgroup, sub-region, and administrative area, because of the high variability in soil properties. This emphasizes that the use of detailed soil data sets with high-resolution digital soil maps and robust soil profile data essential for creating accurate models of the soil carbon cycle.