气相色谱法对本底大气氧化亚氮浓度的标气定量方法研究

利用气相色谱-电子捕获检测器法(GC-ECD)测量大气中氧化亚氮(N_2O)浓度是目前广泛使用的方法,但ECD分析N_2O时存在线性范围较窄的缺点,因此,标气数量和定量方式是决定分析结果的关键因素.基于此,本文对比分析了单点线性校正法(S)、多点线性拟合法(D)、单瓶标气近似校正法(SA)、单瓶标气比值校正法(SC)对N_2O检测分析结果的差异.结果表明,SA定量相对误差最小,对测试使用的6瓶标气定值平均误差为0.09×10~(-9).根据本底大气N_2O观测精度要求,以及我国大气N_2O浓度变化范围较大的特征,推荐选用SA法对大气中N_2O浓度进行定值.依据所选方法对黑龙江龙凤山本底站大气N_2O浓度进行观测(2015年1—12月),结果显示,黑龙江龙凤山站大气N_2O浓度最高值出现在4—5月,平均值超过330×10~(-9).该站大气N_2O浓度主要受人为活动排放的影响.     

An overview of the revised 1996 IPCC guidelines for national greenhouse gas inventory methodology for nitrous oxide from agriculture

The IPCC Guidelines for National Greenhouse Gas Inventories provide default methodologies for estimating emissions of the most important greenhouse gases at a national scale. The methodology for estimating emissions of nitrous oxide (N₂O) from agriculture was revised in 1996 by an international working group. Here we summarize this new methodology and apply it to the global data. The new method aims at assessing the full nitrogen cycle and takes into account N₂O formation in agricultural fields (direct emissions), animal waste management systems (AWMSs) as well as indirect emissions taking place at remote places after nitrogen is lost from the agricultural fields. Using the IPCC method, we estimated that global agricultural N₂O emissions almost doubled between 1960 (3.5 Tg N₂O-N) and 1994 (6.2 Tg N₂O-N). Direct emissions, animal waste management systems and indirect emissions make about equal contribution to total current emissions.     

Effects of temperature change and tree species composition on N2O and NO emissions in acidic forest soils of subtropical China

Tree species and temperature change arising from seasonal variation or global warming are two important factors influencing N2O and NO emissions from forest soils. However, few studies have examined the effects of temperatures(5–35℃) on the emissions of forest soil N2O and NO in typical subtropical region. A short-term laboratory experiment was carried out to investigate the influence of temperature changes(5–35℃) on soil N2O and NO emissions under aerobic conditions in two contrasting(broad-leaved and coniferous) subtropical acidic forest types in China. The results showed that the temporal pattern of N2O and NO emissions between the three lower temperatures(5℃, 15℃, and 25℃) and 35℃ was significantly different for both broad-leaved and coniferous forest soils. The effects of temperature on soil N2O and NO emission rates varied between broad-leaved and coniferous forest soils. Both N2O and NO emissions increased exponentially with an increase in temperature in the broad-leaved forest soil. However, N2O and NO emissions in the coniferous forest soil were not sensitive to temperature change between 5℃ and 25℃. N2O and NO emission rates were significantly higher in the broad-leaved forest soil as compared with the coniferous forest soil at all incubation temperatures except 5℃. These results suggest that the broad-leaved forest could contribute more N2O and NO emissions than the coniferous forest for most of the year in the subtropical region of China.     

农田土壤N2O产生的关键微生物过程及减排措施

氧化亚氮(N2O)作为一种重要的温室气体,其全球排放总量仍然在持续上升.它不仅可以产生温室效应,还可以间接破坏臭氧层,使其在全球气候变化和生态环境变化研究中备受关注.土壤生态系统是大气中N2O的最重要排放源.本文详细论述了农田土壤中反硝化作用、硝化作用、硝化微生物的反硝化作用以及硝酸盐异化还原成铵作用等过程产生N2O的微生物学机制,并从土壤理化性质(土壤pH、氮素、有机质、土壤温度和湿度)和土壤生物等方面对农田土壤N2O排放的影响进行综述,在此基础上对农田土壤N2O的减排措施进行总结,并就今后农田土壤N2O排放的研究重点和方向进行了展望,为调控农田土壤温室气体排放、氮转化过程和提高氮素利用效率提供科学依据.     

模拟酸雨对福州平原水稻田温室气体排放的影响

农田生态系统是温室气体的重要排放源,研究酸雨对水稻田温室气体排放及其综合增温潜势的影响,对我国酸雨背景下农田生态系统固碳减排具有重要的现实意义.本文以福州平原水稻田为研究区,通过模拟酸雨探讨其对水稻田CO_2、CH_4和N_2O排放通量及其综合增温潜势的影响.结果表明:模拟酸雨并未显著改变早、晚稻田CO_2、CH_4和N_2O排放的季节变化规律,但降低了其排放通量.与对照组相比,pH=4.5酸雨作用下,早稻田CO_2、CH_4和N_2O平均排放通量依次降低11.54%、133.33%和22.22%,晚稻田CO_2和N_2O平均排放通量依次降低39.53%、156.00%,而CH_4平均排放通量与对照组差异不显著;pH=3.5酸雨作用下,早稻田CO_2、CH_4和N_2O平均排放通量分别降低10.82%、75.00%、54.00%,晚稻田平均排放通量分别降低17.32%、20.00%和197.67%.综合增温潜势表明,CO_2的增温潜势显著高于CH_4和N_2O,是稻田生态系统中温室效应的主要温室气体,在pH=4.5和pH=3.5的酸雨作用下,早、晚稻田生态系统温室气体综合增温潜势均降低.     

Model evaluation of different mechanisms driving freeze–thaw N2O emissions

N₂O emissions from soil contribute significantly to global warming. Pulse emissions of N₂O from soils during freeze-thawing were recently recognized as important atmospheric sources. In this modelling study we explore three different hypotheses for explaining freeze–thaw related N₂O emissions: (1) soil frost or snow cover may reduce gas diffusion and create anaerobic conditions that stimulate N₂O production via denitrification, (2) microbes that die of frost deliver easy decomposable organic carbon and nitrogen to the soil, which stimulates microbial growth and vigorous N₂O production during freeze–thaw, and (3) the enzyme nitrous oxide reductase, which is responsible for the reduction of N₂O to N₂ during denitrification, is more sensitive to low temperatures than other enzymes, so that N₂O becomes the dominating end-product of denitrification at low temperatures. These hypotheses were tested with a biogeochemical model that combines hydrology and physics calculations with a newly developed, parameter-poor biochemistry module. The model was first calibrated with field datasets on soil–atmosphere fluxes of N₂O, NO and CO₂ and soil NO₃ and NH₄ concentrations that were measured in a spruce forest in Southeast Germany in the years 1994–1997. Subsequently, additional model mechanisms were implemented that allow the model to describe the outlined mechanisms potentially driving freeze–thaw N₂O fluxes. After each implementation the model was recalibrated. We were able to mimic dimension and timing of high N₂O emissions when either one of the first two hypotheses were assumed, but found no confirmation for the third. The best model fit was achieved by combining hypothesis one and two, indicating that freeze–thaw N₂O emissions are not mono-causal.     

黄河上游灌区连作稻田N2O排放特征及影响因素

黄河上游灌区高产连作稻田氮肥的过量施用引起土壤氮素盈余,进而导致稻田N2O排放量增大.为了探明水稻连作模式下稻田N2O排放特征及影响因素,采用静态箱-气相色谱法,开展了为期2年的连作水稻田试验研究.试验共设置3个施氮处理,包括常规氮肥300kg.hm-2(N300)、优化氮肥240kg.hm-2(N240)和对照不施氮肥(N0),并在稻田连作的第2年,对N240处理灌溉节水30%.2年连作试验结果表明,水稻生长季稻田N2O排放主要发生在水稻施基肥后及水稻生长的中后期,在稻田灌水泡田后N2O排放速率达最大值.稻田高氮肥(300kg.hm-2)施用显著增加N2O的排放量,优化氮肥(240kg.hm-2)处理可有效降低土壤N2O排放量(p<0.01).水稻生长季稻田淹水状态时N2O排放量极低,稻田灌溉节水会相应增加土壤N2O排放量.土壤温度变化对稻田N2O的生成和排放会产生较大影响,但受稻田肥水管理等因素的影响,温度与N2O排放量相关性不显著.灌区稻田土壤N2O排放通量与田面水NO3--N含量变化及耕层0～40cm土壤NO3--N积累量变化有显著的相关性.稻田连作显著增加了耕层土壤剖面0～40cm土层NO3--N的积累量,耕层土壤NO3--N积累量的增加进而加大了土壤N2O排放的风险.在宁夏黄灌区稻田常规灌水和高氮肥(300kg.hm-2)水平下,2年连作稻田水稻生长季土壤N2O总排放量分别达55.98×104kg.a-1和51.48×104kg.a-1,在100a时间尺度上的全球增温潜势(GWPs)均值为16.02×107kg.hm-2(以CO2计),表明黄灌上游灌区高氮肥施用导致稻田N2O排放量增大,由此引起的增温潜势严重.     

Relationships of nitrous oxide fluxes with water quality parameters in free water surface constructed wetlands

The effects of chemical oxygen demand (COD) concentration in the influent on nitrous oxide (N₂O) emissions, together with the relationships between N₂O and water quality parameters in free water surface constructed wetlands, were investigated with laboratoryscale systems. N₂O emission and purification performance of wastewater were very strongly dependent on COD concentration in the influent, and the total N₂O emission in the system with middle COD influent concentration was the least. The relationships between N₂O and the chemical and physical water quality variables were studied by using principal component scores in multiple linear regression analysis to predict N₂O flux. The multiple linear regression model against principal components indicated that different water parameters affected N₂O flux with different COD concentrations in the influent, but nitrate nitrogen affected N₂O flux in all systems.     

洱海流域稻鸭共作对稻田温室气体排放和水稻产量的影响

稻季是水旱轮作生态系统温室气体排放的主要时期,探索有效措施实现稻季温室气体减排和水稻增产已成为当前研究的热点.稻鸭共作是减少稻季温室气体排放的有效措施之一,而确定合理的稻鸭共作密度对确保洱海流域水稻产量基础上实现温室气体减排具有重要意义.该研究通过设置不同稻鸭共作密度试验,采取密闭静态箱—气相色谱法研究了稻鸭共作对温室气体排放规律、排放量及全球增温潜势(GWP)的影响.结果表明:水稻生育期,CH_4和N_2O均在分蘖期和结实期出现排放峰;CH_4排放通量、累计排放量和总排放量大小均为常规处理(CT)低密度鸭处理(LDD)高密度鸭处理(HDD)空白处理(CK),而N_2O为HDDLDDCTCK.与CT相比,CK、LDD、HDD的CH_4排放总量分别降低45%、18%、25%,N_2O排放总量分别降低8%、增加11%和37%,温室气体综合增温潜势分别降低41%、14%、17%.田面水DO、NH~+_4-N、NO~-_3-N及土壤温度是引起温室气体CH_4和N_2O排放差异的主要因素.不同处理的水稻产量为LDDCKCTHDD.合理的稻鸭共作密度降低CH_4排放,增加N_2O排放,减缓全球增温潜势,提高了水稻产量.兼顾水稻产量和温室气体减排效果,LDD处理综合效益最好.     

Development of a new model for the simulation of N<Subscript>2</Subscript>O emissions: a case-study on wheat cropping systems under humid Mediterranean climate

Improving the quantification of nitrous oxide (N₂O) emissions from agricultural land has become an issue of major concern due to its strong contribution to the greenhouse effect and to the fact that N₂O is now the most significant ozone-depleting emission to the atmosphere. The aim of this paper is to describe the development of a new field-scale, simple and empirical model that simulates monthly nitrogen (N) flows in cropping systems based on site characteristics and management practices. We explored its sensitivity for a Basque region of Spain growing winter wheat (Triticum aestivum L.) under humid Mediterranean conditions to varied weather conditions and different scenarios of: (i) fertiliser rates, (ii) soil texture, (iii) organic/mineral fertilisation, (iv) slurry injection/no injection and (v) tillage/no tillage. The model showed sensitivity to most of the changes in the tested parameters. On average, simulated N₂O emissions decreased: (i) with the decrease in N fertiliser rates, (ii) in lighter textured soils, (iii) with organic fertilisation, (iv) after non-injecting slurry and (v) under no-tillage. The model showed that it could be useful to simulate some of the potential trade-offs that may occur after implementation of specific N pollution mitigation measures (e.g. trade-offs in crop productivity and ammonia (NH₃) volatilisation after implementation of measures that target a reduction in N₂O emissions). In a validation exercise, simulated and measured yield and soil moisture showed reasonable agreement. Although the model showed discrepancies for monthly-averaged N₂O fluxes, the peak after fertilisation application was reasonably well simulated. These results and the simplicity and user-friendliness of the model suggest that its structure is appropriate and, if properly calibrated for different soil types and weather conditions, it could be a useful model to be used in carbon footprint studies or to develop site-specific emission factors for current or future climatic scenarios.     

秸秆还田配施生物炭对关中平原夏玉米产量和土壤N2O排放的影响

为探明秸秆还田配施生物炭对夏玉米产量和土壤氧化亚氮（N₂O）排放的影响,基于2019~2020年关中平原田间定位试验,利用静态暗箱-气相色谱法监测了土壤N₂O排放通量,综合分析夏玉米产量、土壤N₂O排放和土壤活性氮组分,明确了秸秆还田配施生物炭在培肥土壤、增产减排方面的效应.以秸秆不还田（S₀）为对照,设置秸秆还田（S）和秸秆还田配施生物炭（SB）共3个处理.结果表明,各处理N₂O排放峰值出现在秸秆还田后10 d,秸秆还田30 d后土壤N₂O排放通量处于较低水平,土壤N₂O排放通量与铵态氮（NH₄⁺-N）、无机氮、微生物量氮（MBN）和可溶性有机氮（DON）含量呈显著的正相关关系（P<0.05）.S较S₀显著增加夏玉米产量、N₂O累积排放量、单位产量N₂O累积排放量和土壤总氮（TN）含量,分别为7.4%~13%、65.8%~132.2%、54.6%~103%和27.8%~33%.虽然SB较S提高夏玉米产量（2.5%~3.3%）的趋势不显著（P>0.05）,但是SB较S显著降低N₂O累积排放量和单位产量N₂O累积排放量,分别为24.0%~27.3%和26.4%~29.2%.在土壤N₂O排放通量达到峰值时,SB较S显著降低土壤N₂O排放通量45.1%~69.6%,生物炭能够缓解秸秆还田所诱发的土壤N₂O排放,具有削峰的作用.SB较S显著增加土壤总氮9.1%~12.2%.综合作物产量、N₂O排放和土壤总氮,对夏玉米生产而言,秸秆还田配施生物炭不仅培肥地力,提高夏玉米产量,而且减少单位产量N₂O累积排放量,是可供推广的兼顾作物产量和环境友好的适宜管理措施.     

污水生物处理实际工艺中氧化亚氮的释放：现状与挑战

介绍了污水生物处理过程中N2O的产生途径,重点分析了污水厂典型脱氮工艺的N2O释放差异及其原因,提出了城市污水脱氮处理过程N2O减排的具体措施,并估算出全国城镇污水处理厂2011年N2O释放总量约为1.26×109g(以N计),对今后关于城市污水脱氮处理过程N2O产生及减排的研究趋势进行了评估.     

猪粪化肥配施对双季稻田CH4和N2O排放及其全球增温潜势的影响

以湖南典型红壤双季稻田系统为研究对象,采用静态箱-气相色谱法研究了水稻生长季基肥配施猪粪条件下CH4和N2O的排放特征,并估算了排放的CH4和N2O的全球增温潜势(GWP).结果表明,与施用化肥处理相比,猪粪化肥配施对稻田CH4和N2O排放的季节变化模式无明显影响,但影响其排放量大小.两个稻季,猪粪替代50%化学氮肥处理(1/2N+PM)CH4累积排放量较不施氮肥处理(0N)、50%化学氮肥处理(1/2N)、100%化学氮肥处理(N)分别提高54.83%、33.85%和43.30%(P<0.05);1/2N+PM处理N2O累积排放量较N处理显著降低67.50%,较0N处理、1/2N处理分别提高129.43%、119.23%(P<0.05).水稻生长季CH4是GWP的主要贡献者,占CH4和N2O综合GWP的99%以上.1/2N+PM处理的GWP显著高于其他处理(P<0.05),且1/2N+PM处理单位产量GWP最高,较N处理、1/2N处理、0N处理分别提高58.21%、26.82%、20.63%.因此,双季稻田猪粪替代部分化学氮肥较全部施用化学氮肥增加了双季稻田CH4和N2O排放的综合温室效应,其对温室气体排放的影响需在区域温室气体排放清单中加以考虑.     

黄土及其他添加物对猪粪贮存过程氨气和温室气体排放的影响

畜禽粪肥在贮存阶段养分损失严重,是CO_2、CH_4、NH_3和N_2O等大气污染物的重要排放来源.本文采用室内培养方法,研究了添加黄土、秸秆、生物炭和膨润土对猪粪贮存过程中氨气及温室气体排放的影响.结果表明,添加10%用量的生物炭和膨润土处理的CO_2累积排放量与不添加任何添加物的猪粪对照相比分别降低了15.4%和20.9%,N_2O累积排放量分别降低了19.8%和37.6%.添加膨润土处理的NH_3损失量显著增加,但添加生物炭和膨润土处理的综合温室效应与猪粪对照相比均显著降低.添加10%秸秆处理的CH_4和NH_3累积排放量分别较猪粪对照降低了56.8%和95.8%,但其综合温室效应与对照相比差异不显著.模拟黄土垫圈过程添加黄土处理的氨气及温室气体累积排放量均显著降低,综合温室效应显著低于其他处理(p0.05).可见,黄土垫圈是保蓄粪肥碳、氮养分的有效措施,猪粪贮存阶段添加少量生物炭、膨润土对于减少粪肥综合温室效应具有积极作用.     

Restricted autumn grazing to reduce nitrous oxide emissions from dairy pastures in Southland,New Zealand

Animal excreta deposited on pasture during grazing represent the single largest source of N₂O emissions in New Zealand. These emissions are highest when pastures are grazed during the wet autumn/winter season. The strategic use of a feed pad on dairy farms could restrict the amount of excreta N returned to pasture during this time of year, and thus reduce N₂O emissions and other environmental losses. The effect of restricting autumn grazing to 3 h per day on N₂O emissions and NO₃ leaching losses was measured in a 3-year field study. Nitrous oxide emissions were measured weekly between April and September using a soil cover methodology. Nitrate leaching losses were measured from the NO₃ concentration of drainage water that was collected from the hydrologically isolated and artificially drained field plots. Restricted autumn grazing reduced both N₂O emissions and NO₃ leaching losses from grazed pasture by about 40%. The effect of this grazing regime on total on-farm N₂O emissions was estimated using the field measurements and the New Zealand IPCC inventory methodology. These calculations indicated that restricted autumn grazing could reduce direct and indirect on-farm N₂O emissions by 7–11%, and could thus be an effective tool for reducing N₂O emissions, while also reducing NO₃ leaching losses, and preventing soil and sward damage. The study further highlighted that the currently used IPCC inventory methodology cannot easily account for reductions in national N₂O emission following adoption of N₂O mitigation strategies. It also reinforced the need for assessing the impact of mitigation strategies at a whole farm level.     

Simulating N2O fluxes from a Brazilian cropped soil with contrasted tillage practices

Assessing the N₂O fluxes balance is a key challenge to estimate the effect of agriculture practices on greenhouse gas production. N₂O fluxes remained difficult to measure on a field scale due to high spatial and temporal variability and usually low concentrations. Our work aimed at (i) characterizing by laboratory measurements soil potential N₂O emissions from nitrification and denitrification and (ii) testing a modelling approach of N₂O emissions that circumvents the problem of discrete measurements for two Brazilian rainfed rice cropping systems, no-tillage (NT) vs. disk tillage (DT). This latter approach consisted in the combination of 2 models: a mechanistic water transfer model and a N₂O emission model, namely PASTIS and NOE. Simulations with the PASTIS + NOE approach showed for both NT and DT treatments that: (i) the soil emitted low amounts of N₂O, (ii) emissions by denitrification corresponded to short periods of high N₂O emissions (15 times as high as emission by nitrification), (iii) nitrification contributed to ca 35% of the total N₂O emissions at the crop cycle scale, (iv) field N₂O emission measurements corresponded to the low bound of simulated emissions from nitrification.     

Cover crop effects on nitrous oxide emission from a manure-treated Mollisol

Agriculture contributes 40–60% of the total annual N₂O emissions to the atmosphere. Development of management practices to reduce these emissions would have a significant impact on greenhouse gas levels. Non-leguminous cover crops are efficient scavengers of residual soil NO₃, thereby reducing leaching losses. However, the effect of a grass cover crop on N₂O emissions from soil receiving liquid swine manure has not been evaluated. This study investigated: (i) the temporal patterns of N₂O emissions following addition of swine manure slurry in a laboratory setting under fluctuating soil moisture regimes; (ii) assessed the potential of a rye (Secale cereale L.) cover crop to decrease N₂O emissions under these conditions; and (iii) quantified field N₂O emissions in response to either spring applied urea ammonium nitrate (UAN) or different rates of fall-applied liquid swine manure, in the presence or absence of a rye/oat winter cover crop. Laboratory experiments investigating cover crop effects N₂O emissions were performed in a controlled environment chamber programmed for a 14 h light period, 18 °C day temperature, and 15 °C night temperature. Treatments with or without a living rye cover crop were treated with either: (i) no manure; (ii) a phosphorus-based manure application rate (low manure): or (iii) a nitrogen-based manure application rate (high manure). We observed a significant reduction in N₂O emissions in the presence of the rye cover crop. Field experiments were performed on a fine-loamy soil in Central Iowa from October 12, 2005 to October 2, 2006. We observed no significant effect of the cover crop on cumulative N₂O emissions in the field. The primary factor influencing N₂O emission was N application rate, regardless of form or timing. The response of N₂O emission to N additions was non-linear, with progressively more N₂O emitted with increasing N application. These results indicate that while cover crops have the potential to reduce N₂O emissions, N application rate may be the overriding factor.     

不同水分管理方式下水稻生长季N2O排放量估算：模型应用

基于田间原位测定结果,作者建立了不同水分管理方式下稻田N₂O排放估算的统计模型. 在模型验证和输入参数检验的基础上, 本研究应用模型估算了20世纪50～90年代我国稻田水稻生长季N₂O直接排放量. 结果表明, 由于水稻种植面积和氮输入量的增加、以及水分管理方式的变化, 稻田N₂O-N季节排放量从20世纪50年代平均每年9.55 Gg增加到了90年代每年32.26 Gg, 同期伴随着水稻单产的增加. 在20世纪50～90年代间, 我国水稻生产的N₂O-N排放量以平均每10 a6.74 Gg的速度递增. 20世纪50年代和90年代稻田N₂O-N季节排放通量平均分别为0.32 kg·hm^-2和1.00 kg·hm^-2, 相当于季节氮输入总量的0.37%和0.46%. 本研究模型估算50～90年代间稻田N₂O季节排放量的不确定性为59.8%～37.5%. 就全国稻田的不同种植区域而言, 长江中下游地区稻田水稻生长季N₂O排放量占全国稻田N₂O排放总量的51%～56%. 20世纪90年代水稻生长季N₂O排放量约占我国农田N₂O年总排放量的8%～11%. 相对于旱地作物而言, 过去几十年水稻生产的发展在很大程度上减缓了我国农业生产的N₂O排放. 然而, 随着水稻生产中节水灌溉的推广和氮肥施用量的增加, 我国稻田N₂O季节排放量预计将相应增加.     

氮肥和秸秆还田方式对麦玉轮作土壤N2O排放的影响

为探究氮肥和秸秆还田方式对N₂O排放的影响,本研究在关中地区冬小麦-夏玉米轮作模式下,采用双因素裂区设计,主区为常规施氮（G）和减量施氮（70% G）;副区为秸秆不还田（N）、秸秆还田（S）和秸秆还田+生物炭（SB）,分析对N₂O排放和产量的影响及与相关影响因子间的关系.结果表明,小麦季和玉米季各处理在施肥后第5~16d内相继出现N₂O排放高峰,在降雨后也出现N₂O排放峰值.N₂O通量和土壤温度、NH₄⁺-N含量呈显著正相关.在同等施氮水平下,S处理增加了N₂O排放量,SB处理可降低N₂O排放量,S和SB处理均能显著增加作物产量,且SB增产幅度更大;70% G水平的N₂O年排放量较G水平减少了40%~48%,而产量并没有明显减少.综合考虑,在常规施氮基础上减氮30%配合秸秆+生物炭,在保证作物高产的同时,N₂O减排效果最好.     

Modelling impacts of alternative farming management practices on greenhouse gas emissions from a winter wheat–maize rotation system in China

Agricultural production plays an important role in affecting atmospheric greenhouse gas concentrations. Field measurements were conducted in Quzhou County, Hebei Province in the North China Plains to quantify carbon dioxide (CO₂) and nitrous oxide (N₂O) emissions from a winter wheat–maize rotation field, a common cropping system across the Chinese agricultural regions. The observed flux data in conjunction with the local climate, soil and management information were utilized to test a process-based model, Denitrification–Decomposition or DNDC, for its applicability for the cropping system. The validated DNDC was then used for predicting impacts of three management alternatives (i.e., no-till, increased crop residue incorporation and reduced fertilizer application rate) on CO₂ and N₂O emissions from the target field. Results from the simulations indicated that (1) CO₂ emissions were significantly affected by temperature, initial SOC, tillage method, and quantity and quality of the organic matter added in the soils; (2) increases in temperature, initial SOC, total fertilizer N input, and manure amendment substantially increased N₂O emissions; and (3) temperature, initial SOC, tillage, and quantity and quality of the organic matter added in the soil all had significant effects on global warming. Finally, five 50-year scenarios were simulated with DNDC to predict their long-term impacts on crop yield, soil C dynamics, nitrate leaching losses, and N₂O emissions. The modelled results suggested that implementation of manure amendment or crop residue incorporation instead of increased fertilizer application rates would more efficiently mitigate GHG emissions from the tested agro-ecosystem. The multi-impacts provided a sound basis for comprehensive assessments on the management alternatives.