Resources Science ›› 2019, Vol. 41 ›› Issue (9): 1630-1640.doi: 10.18402/resci.2019.09.05

Previous Articles     Next Articles

Meta-analysis of the effects of different farmland management measures on soil carbon intensity

LI Hanbing1,JIN Xiaobin1,2,3(),YANG Xuhong1,XU Weiyi1,ZHOU Yinkang1,2,3   

  1. 1. College of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China
    2. Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Land and Resources, Nanjing 210023, China
    3. Jiangsu Provincial Land Development and Consolidation Technology and Engineering Center, Nanjing 210023, China
  • Received:2019-04-04 Revised:2019-07-03 Online:2019-09-25 Published:2019-09-25
  • Contact: JIN Xiaobin E-mail:jinxb@nju.edu.cn

Abstract:

Farmland soil is an important part of the carbon cycle, and soil carbon emission accounting is a key topic of current research. In order to effectively identify the impact of different farmland management measures on soil carbon emission intensity and improve the reliability of regional farmland carbon emission accounting, this study applied the meta-analysis method based on relevant research literature in China and internationally, and quantitatively analyzed the impact of fertilization, no-tillage, straw returning, and organic fertilizer application on soil carbon emissions. Soil types, crops, and other variables were introduced to build the statistical analysis models of the effect of various influencing factors on farmland soil carbon emission intensity for different regions. The results show that the application of chemical fertilizer, organic fertilizer application, and traditional tillage will increase soil carbon emission intensity compared with no fertilization and no-tillage, and the combined effect values are 0.62, 0.64, and 0.23, respectively. No straw returning will reduce carbon emission intensity, and the combined effect value is -0.17. The simulation results show that the coefficients of variables are consistent with the results of the meta-analysis and pass the normality test of the cumulative probability. By establishing a partition function model, it can provide references for the targeted accounting of carbon emissions of farmland in different regions, and with different soil types, different crops, and different management measures.

Key words: farmland, management measures, soil carbon emissions, carbon accounting, meta-analysis, China