Recommended nitrogen fertilization enhances soil carbon sequestration in China's monsoonal temperate zone

PeerJ. 2018 Nov 16:6:e5983. doi: 10.7717/peerj.5983. eCollection 2018.

Abstract

China consumes more than one-third of the world's nitrogen (N) fertilizer, and an increasing amount of N fertilizer has been applied over the past decades. Although N fertilization can increase the carbon sequestration potentials of cropland in China, the quantitative effects of different N fertilizer application levels on soil carbon changes have not been evaluated. Therefore, a 12-year cultivation experiment was conducted under three N fertilizer application levels (no N fertilizer input, the recommended N fertilizer input after soil testing, and the estimated additional fertilizer input) to estimate the effect of N addition on soil carbon changes in the root layer (0-80 cm) and non-root layer (80-200 cm) using a within-study meta-analysis method. The results showed significant declines in the soil inorganic carbon (SIC) in the root layers and significant growth in the SIC in the non-root layers under N fertilizer input. The soil organic carbon (SOC) in the root layers and the non-root layer significantly decreased under all the treatments. In addition, the recommended N fertilizer application level significantly increased the SOC and soil total carbon stocks compared with the future N fertilizer application level and no N input, while the future N fertilization significantly decreased the SIC and soil total carbon compared with no N input. The results suggest that N fertilization can rearrange the soil carbon distribution over the entire soil profile, and the recommended N fertilization rather than excess N input can increase the soil carbon stock, which suggests that the national soil testing program in China can improve the soil carbon sequestration potential.

Keywords: Carbonate; Root biomass distribution; Soil organic carbon; Winter wheat.

Grants and funding

This study was supported by the National Key Research and Development Program of China (Grant No. 2016YFA0602503), National Natural Science Foundation of China (Grant Nos. 41701099, 41775116, 61871204, and 31470501), and Open Fund Project of Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Grant No. MJUKF-IPIC201812). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.