资源科学 ›› 2019, Vol. 41 ›› Issue (9): 1630-1640.doi: 10.18402/resci.2019.09.05

• 碳排放与能源 • 上一篇    下一篇

不同农田管理措施对土壤碳排放强度影响的Meta分析

李寒冰1,金晓斌1,2,3(),杨绪红1,徐伟义1,周寅康1,2,3   

  1. 1. 南京大学地理与海洋科学学院,南京 210023
    2. 国土资源部海岸带开发与保护重点实验室,南京 210023
    3. 江苏省土地开发整理技术工程中心,南京 210023
  • 收稿日期:2019-04-04 修回日期:2019-07-03 出版日期:2019-09-25 发布日期:2019-09-25
  • 通讯作者: 金晓斌
  • 作者简介:李寒冰,女,河南商丘人,硕士生,主要研究方向为土地利用碳排放。E-mail: 897921736@qq.com
  • 基金资助:
    国家自然科学基金项目(41671082)

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

摘要:

农田土壤作为碳循环系统的重要组成部分,土壤碳排放核算是当前的研究重点。为有效识别不同农田管理措施对土壤碳排放强度的影响,提高区域农田碳排放核算的可靠性,本文通过收集国内外相关文献,基于Meta分析方法定量分析施肥、免耕、秸秆还田、增施有机肥等不同农田管理措施对土壤碳排放的影响效果,并引入土壤类型、作物等变量,分区建立各影响因素对农田土壤碳排放强度影响的统计分析模型。结果表明:与不施肥、免耕相比,施化肥、增施有机肥、传统耕作将增大土壤碳排放强度,合并效应值分别为0.62、0.64和0.23;不采用秸秆还田将降低土壤碳排放强度,合并效应值为-0.17。模拟结果显示,各变量系数与Meta分析结果相一致,并通过累计概率的正态性检验。建立分区函数模型可为不同区域、不同土壤类型、不同作物和不同管理措施下针对性开展农田土壤碳排放核算提供参考。

关键词: 农田, 管理措施, 土壤碳排放, 碳核算, Meta分析, 中国

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