不同农田管理措施对土壤碳排放强度影响的Meta分析

doi:10.18402/resci.2019.09.05

摘要/Abstract

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

李寒冰,金晓斌,杨绪红,徐伟义,周寅康. 不同农田管理措施对土壤碳排放强度影响的Meta分析[J]. 资源科学, 2019, 41(9): 1630-1640.

LI Hanbing,JIN Xiaobin,YANG Xuhong,XU Weiyi,ZHOU Yinkang. Meta-analysis of the effects of different farmland management measures on soil carbon intensity[J]. Resources Science, 2019, 41(9): 1630-1640.

图/表 6

图1

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表1

Meta分析纳入文献"

作者	试验点		来源		作者		试验点		来源
西北区域
吕锦慧	甘肃省定西市		甘肃农业大学, 2018.		Lu, et al		陕西省咸阳市杨凌区		Plos one 13(9): 2018.
吕锦慧等	甘肃省定西市		干旱区资源与环境, 2018.		Zhang, et al		陕西省咸阳市杨凌区		Field Crops Research, 2017.
禄兴丽等	陕西省咸阳市杨凌区		西北农业学报, 2013.		Qi, et al		内蒙古锡林格勒盟		Soil & Tillage Research, 2007.
涂纯等	陕西省长武县		中国生态农业学报, 2013.		Shen, et al		陕西省长武县		Sustainability, 2017.
张鹏鹏	新疆沙湾县		石河子大学,2017.		Zhang, et al		新疆沙湾县		Journal of Arid Land , 2014.
戴万宏等	陕西省咸阳市杨凌区		西北农林科技大学学报(自然科学版), 2004.		Chen, et al		陕西省咸阳市杨凌区		Science of the Total Environment, 2016.
白雪原等	内蒙古巴彦淖尔市		灌溉排水学报, 2017.		Wang, et al		陕西省咸阳市杨凌区		Science of the Total Environment, 2019.
杨硕欢	陕西省咸阳市杨凌区		西北农林科技大学, 2017.		Hu, et al		甘肃省武威市		Soil & Tillage Research, 2017.
道力格亚	陕西省咸阳市杨凌区		西北农林科技大学, 2018.		Yu, et al		新疆沙湾县		Soil Use and Management, 2016.
郭芸	陕西省咸阳市杨凌区		西北农林科技大学, 2017.
东北区域
黄坚雄等	吉林省公主岭市		中国农业科学, 2011.		梁尧等		黑龙江省海伦市		中国生态农业学报, 2012.
贺美等	黑龙江省绥化市青冈县		土壤通报, 2016.		宋秋来等		黑龙江省哈尔滨市		江苏农业科学, 2017.
赵迅	辽宁省沈阳市		沈阳农业大学, 2016.		高洪军等		吉林省公主岭市		农业资源与环境学报, 2017.
赵泽松	黑龙江省哈尔滨市		东北农业大学, 2010.		Li, et al		黑龙江省海伦市		Communications in Soil Science & Plant Analysis, 2009.
丁洪等	黑龙江省海伦市		农业环境科学学报, 2003.		Shi, et al		吉林省德惠市		Global Biogeochemical Cycles, 2012.
吕艳杰等	吉林省吉林市		中国生态农业学报, 2016.		Tang, et al		吉林省松原市		Sustainability, 2018.
诸葛玉平等	吉林省公主岭市		土壤通报, 2005.		Yang, et al		辽宁省沈阳市		Environmental Science & Pollution Research International, 2017.
龚振平等	黑龙江省哈尔滨市		东北农业大学学报, 2015.		Ni, et al		黑龙江省哈尔滨市		Journal of Soils & Sediments, 2012.
华北区域
李琳等	河北省栾城县		应用生态学报, 2007.		邬刚等		山西省沂州市		土壤, 2013.
闫翠萍等	河北省栾城县		中国生态农业学报, 2016.		万运帆等		河北省栾城县		农业环境科学学报, 2009.
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宋利娜等	河北省栾城县		中国生态农业学报, 2013.		Shen, et al		河北省沧州市		Field Crops Research, 2018.
黄坚雄等	河北省沧州市		中国农业大学学报, 2015,.		Shen, et al		河北省沧州市		Nutrient Cycling in Agroecosystems, 2018.
王玉英等	河北省栾城县		中国生态农业学报, 2011.		Dong, et al		山西省临汾市		Geofisica Internacional, 2017.
裴淑玮等	河北省望都县		环境化学, 2012.
华中区域
李成芳等	湖北省武穴市		农业环境科学学报, 2009.		Li, et al		湖北省武穴市		Plos One, 2012.
寇志奎	湖北省武穴市		华中农业大学, 2011.		Zhang, et al		湖北省武穴市		Paddy & Water Environment, 2016.
李玮等	河南省封丘县		中国生态农业学报, 2012.		Zhang, et al		湖南省祁阳县		Journal of Environmental Management, 2016.
冯晓赟等	湖北省武汉市		农业资源与环境学报, 2016.		Zhang, et al		湖南省祁阳县		Journal of Integrative Agriculture, 2014.
夏文斌等	河南省新乡市		土壤, 2014.		Li, et al		湖北省武穴市		Atmospheric Environment, 2010.
蔡延江等	河南省封丘县		生态与农村环境学报, 2011.		Zhang, et al		湖北省武穴市		The Scientific World Journal, 2014.
梁太波等	河南省襄城县		烟草科技, 2017.		Chen, et al		湖南省长沙市		Environmental science and pollution research international, 2016.
Ding, et al	河南省封丘县		Soil Biology & Biochemistry, 2007.		Ji, et al		湖南省长沙市		Journal of the Science of Food & Agriculture, 2012.
Guo, et al	湖北省武穴市		Journal of Soil Science & Plant Nutrition, 2015.
作者		试验点		来源		作者		试验点		来源
华东区域
秦越等		山东省禹城市		农业环境科学学报, 2014.		Zhang, et al		上海市崇明岛大东村		Science of the Total Environment, 2014.
张翰林等		上海市崇明岛三星镇		中国生态农业学报, 2015.		Tu, et al		山东省禹城市		Journal of Integrative Agriculture 2017.
徐钰等		山东省泰安市		中国土壤与肥料, 2016.		Zhong, et al		浙江省杭州市		Science of the Total Environment, 2016.
盛海君等		江苏省扬州市		扬州大学学报(农业与生命科学版), 2018.		Liu, et al		江苏省南京市		Environmental Pollution, 2012.
李新华等		山东省禹城市		农业环境科学学报, 2015.		Hou, et al		山东省禹城市		Soil Science Society of America Journal, 2014.
马小婷		山东省禹城市		青岛大学, 2017.		Zhang, et al		安徽省萧县		Soil & Tillage Research, 2017.
米迎宾等		江苏省东台市		灌溉排水学报, 2017.		Han, et al		山东省济南市		Experimental Agriculture, 2017.
李燕青等		山东省禹城市		中国农业科学, 2015.
西南区域
杨娟等		四川省都江堰市		中国生态农业学报, 2015.		Wang, et al		四川省盐亭县		Journal of Mountain Science, 2018.

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图3

表2

图4

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区域	华东	华中	华北	西北	东北
常量	-3230.96	-1597.73	-9710.11	1625.56	-1938.88
N	-4.2	-1.42	18.74	-378.18	318.19
P	-24.64	-1.74	-20.64	1009.34	1402.77
K	35.97	6.92	22.22	-8.21	1.85
有机肥	2532.68	2888.01	-5626.05	5.76	12.25
还田	-443.86	5032.94	576.97	9.3	2.97
免耕	-4728.53	-1600.2	-3700.03	-1512.61	12.15
土壤类型	582.98	201.93	1569.77	801.59	1147.33
作物分类	1409.8	847.35	1063.93	-1793.30	2516.93
残差	5117.38	2832.42	3478.53	2655	3681.56
R²	0.44	0.51	0.44	0.73	0.58
调整后R²	0.36	0.46	0.36	0.72	0.53
F	5.6	10.18	5.45	41.68	11.51