首页|有机肥施用对全球农业土壤温室气体排放影响的Meta分析

有机肥施用对全球农业土壤温室气体排放影响的Meta分析

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为了探明有机肥施用对农业土壤温室气体排放量的直接和间接影响,选用了公开发表的129篇相关文献,共1228组数据,采用Meta分析方法分析了有机肥对全球农业土壤温室气体排放量的影响及其影响因素,进一步构建结构方程模型(SEM)量化和确定因素之间的因果关系。结果表明,总体上,与不施肥和施用无机肥相比,有机肥替代施用分别增加了 70。73%(lnR:0。53,95%CI:0。45~0。62)和 19。24%(lnR:0。18,95%CI:0。13~0。22)的 CO2排放、52。58%(lnR:0。42,95%CI:0。26~0。59)和 27。72%(lnR:0。24,95%CI:0。15~0。34)的 CH4排放及 208。14%(lnR:1。13,95%CI:1。04~1。21)和-3。66%(lnR:-0。04,95%CI:-0。11~0。04)的 N2O排放;有机肥施用下,旱地系统对CO2和N2O排放量效应均影响最大,水稻系统对CH4排放量效应影响最显著;粉土的CO2平均增长率最高,砂土对N2O和CH4平均增长率影响较大;相比商品有机肥和沼液,秸秆替代下CO2和N2O平均增长率极大,农家肥替代对土壤CH4排放量有显著促进作用;温室气体排放量在氮肥+有机肥处理下显著增加。SEM表明年均气温(MAT)是CO2和N2O排放量的最重要环境决定因子,其中土壤CO2排放量与MAT呈显著正相关(P<0。01),土壤N2O排放量与MAT存在负相关关系;旱地和草地及水稻系统中CH4排放量的主要环境决定因素分别为年降水量(MAP)及年均气温(MAT),均与其呈显著正相关关系(P<0。05)。研究可为优化施肥管理、减缓农田温室气体排放等提供科学依据。
Meta-analysis on the Effects of Organic Fertilizer Application on Global Greenhouse Gas Emissions from Agricultural Soils
To explore the direct and indirect effects of organic fertilizer application on greenhouse gas emissions from agricultural soils,a total of 1228 groups of data from 129 published studies were selected.Meta-analysis was used to analyze the effects of organic fertilizer on global greenhouse gas emissions from agricultural soils and their influencing factors.Meanwhile,a structural equation model(SEM)was further constructed to quantify and determine the causal relationships between the factors.The results showed that,overall,compared with those under no fertilization,organic fertilizer substitution increased CO2 emissions by 70.73%(lnR:0.53,95%CI:0.45-0.62),CH4 emissions by 52.58%(lnR:0.42,95%CI:0.26-0.59),and N2O emissions by 208.14%(lnR:1.13,95%CI:1.04-1.21),respectively.Compared with those under the application of inorganic fertilizers,the substitution of organic fertilizers increased CO2 emissions by 19.24%(lnR:0.18,95%CI:0.13-0.22),CH4 emissions by 27.72%(lnR:0.24,95%CI:0.15-0.34),and N20 emissions by-3.66%(lnR:-0.04,95%CI:-0.11-0.04).Under the application of organic fertilizer,the dryland system had the greatest impact on both CO2 and N20 emissions,and the rice system had the most significant effect on CH4 emission effects.The average CO2 growth rate was highest in silty soils,and sandy soils had a greater effect on the average growth rates of N20 and CH4.The average growth rate of CO2 and N2O was extremely large under straw substitution compared to that under commercial organic fertilizer and biogas.The substitution of farmyard manure had significant CH4 emissions from soil promotion.Greenhouse gas emissions were significantly increased under the nitrogen fertilizer and organic fertilizer treatments.The SEM showed that mean annual temperature(MAT)was the most important environmental determinant of CO2 and N20 emissions,in which soil CO2 emissions were significantly positively correlated with MAT(P<0.01)and soil N20 emissions were negatively correlated with MAT.The main environmental determinants of CH4 emissions in dryland,grassland,and rice systems were annual precipitation(MAP)and mean annual temperature(MAT),respectively,which were both significantly and positively correlated with each other(P<0.05).This research can provide a scientific basis for optimizing fertilizer management and mitigating greenhouse gas emissions from farmland.

greenhouse gas emissionsoilorganic fertilizerMeta-analysisstructural equation modelingglobal

撒青林、郑健、李子凡、王燕

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兰州理工大学能源与动力工程学院,兰州 730050

甘肃省太阳能与生物质互补多联供系统重点实验室,兰州 730050

西北低碳城镇支撑技术省部共建协同创新中心,兰州 730050

温室气体排放 土壤 有机肥 Meta分析 结构方程模型(SEM) 全球

2025

环境科学
中国科学院生态环境研究中心

环境科学

北大核心
影响因子:1.913
ISSN:0250-3301
年,卷(期):2025.46(1)