Uncertainty in Agricultural CH<Subscript>4</Subscript> AND N<Subscript>2</Subscript>O Emissions from Finland – Possibilities to Increase Accuracy in Emission Estimates

According to the United Nations Framework Convention on Climate Change (UNFCCC) and Kyoto Protocol under it, industrial countries have to estimate their greenhouse gas emissions annually, and assess the uncertainties in these estimates. In Finland, agricultural methane (CH₄) and nitrous oxide (N_2O) emissions represent 7% of anthropogenic greenhouse gas emissions, and globally the share is much higher. Agriculture is one of the most uncertain emission categories (representing over 20% of greenhouse gas inventory uncertainty in Finland), due to both high natural variability of the emission sources and poor knowledge of the emission-generating processes. In this paper, we present an uncertainty estimate of agricultural CH₄ and N₂O emissions from Finland in 2002. Uncertainties were estimated based on measurement data, literature and expert judgement, and total uncertainty in agriculture was calculated using Monte Carlo simulation. According to the calculations, agricultural CH₄ and N₂O emissions from Finland were 3.7 to 7.8 Tg carbon dioxide (CO₂) equivalents, 5.4 Tg being the mean value.Estimates of CH₄ emissions are more reliable than those of N₂O. N₂O from agricultural soils was the most uncertain emission category, and the uncertainty was not reduced by using available national measurement data of N₂O fluxes. Sensitivity study revealed that the uncertainty in total agricultural inventory could be 7% points lower, if more accurate emission estimation methods were used, including 1) improved data collection in area estimates of organic soils, 2) climate-specific methods for N₂O from agricultural soils as already presented in literature, and 3) more detailed CH₄ estimation methods for enteric fermentation which can be achieved by investigating national circumstances and digestible systems of animals in more detail.     

优化施肥模式对我国热带地区水稻-豇豆轮作系统N2O和CH4排放的影响

选择海南典型的水稻-豇豆轮作系统进行氧化亚氮(N_2O)和甲烷(CH_4)排放的原位监测,探究不同施肥模式下该系统土壤温室气体排放特征.试验设当地常规施肥对照(CON)、优化施肥量(OPT)、有机无机配施(ORG)、缓控肥替代优化(SCOPT)及不施氮对照(CK)共5个处理,采用静态箱-气相色谱法监测整个种植季土壤N_2O和CH_4排放,并估算增温潜势(GWP)和温室气体排放强度(GHGI).结果表明,各处理水稻季N_2O累积排放量为0. 19～1. 37 kg·hm~(-2),相较于CON处理,优化施肥处理N_2O减排50%～86%;豇豆季N_2O累积排放量为1. 29～3. 55 kg·hm~(-2),除ORG增加14%,其他处理减排16%～59%.各处理水稻季CH_4累积排放量为4. 67～14. 23 kg·hm~(-2),CK、OPT和ORG处理分别较CON增加116%、22%和102%,而SCOPT减少了29%;豇豆季CH_4累积排放量为0. 03～0. 26 kg·hm~(-2),期间出现CH_4吸收.比较两个作物季和休闲期对农田土壤直接排放的温室气体GWP的贡献率,豇豆季在CH_4排放极低的情况下,仍有44. 7%～54. 5%的占比;两种温室气体比较中,N_2O对GWP的贡献率为66. 7%～77. 2%. SCOPT处理的GWP和两季作物GHGI均显著低于CON处理.3个优化施肥处理中,SCOPT的增产减排效果最显著,为最优的施肥方案.     

Global warming contributions from wheat,sheep meat and wool production in Victoria,Australia – a life cycle assessment

This paper compares the life cycle global warming potential of three of Australia’s important agricultural production activities – the production of wheat, meat and wool in grazed subterranean clover (sub-clover) dominant pasture and mixed pasture (perennial ryegrass/phalaris/sub-clover/grass and cape weed) systems. Two major stages are presented in this life cycle assessment (LCA) analysis: pre-farm, and on-farm. The pre-farm stage includes greenhouse gas (GHG) emissions from agricultural machinery, fertilizer, and pesticide production and the emissions from the transportation of these inputs to paddock. The on-farm stage includes GHG emissions due to diesel use in on-farm transport and processing (e.g. seeding, spraying, harvesting, topdressing, sheep shearing), and non-CO₂ (nitrous oxide (N₂O), and methane (CH₄)) emissions from pastures and crop grazing of lambs.The functional unit of this life cycle analysis is the GHG emissions (carbon dioxide equivalents – CO₂ -e) from 1 kg of wheat, sheep meat and wool produced from sub-clover, wheat and mixed pasture plots. The GHG emissions (e.g. CO₂, N₂O and CH₄ emission) from the production, transportation and use of inputs (e.g. fertilizer, pesticide, farm machinery operation) during pre-farm and on-farm stages are also included. The life cycle GHG emissions of 1 kg of wool is significantly higher than that of wheat and sheep meat. The LCA analysis identified that the on-farm stage contributed the most significant portion of total GHG emissions from the production of wheat, sheep meat and wool. This LCA analysis also identified that CH₄ emissions from enteric methane production and from the decomposition of manure accounted for a significant portion of the total emissions from sub-clover and mixed pasture production, whilst N₂O emissions from the soil have been found to be the major source of GHG emissions from wheat production.     

华北平原农田管理措施对冬小麦-夏玉米轮作系统N2O和CH4排放的影响

华北平原是我国重要的粮食生产基地,其农业生产对N_2O和CH_4也具有重要影响.本研究设置包括3类不同农田管理措施的田间试验,即免耕(No-tillage,N)/旋耕(Rotary,T)、秸秆清茬(Cleaning,S0)/还田(Straw,S1)以及不同氮肥水平(常规氮肥(F2),优化氮肥(F1)和空白处理(F0)),分析对产量、N_2O和CH_4排放的影响以及与土壤性状的关系.结果表明,优化氮肥能保持和当地常规氮肥水平相同的粮食产量,同时可以有效降低温室气体CO2-eq(45.4%).秸秆还田可以显著降低N_2O的排放,其中在夏玉米季效果尤为明显.施用氮肥能够抑制土壤对CH_4的吸收.夏玉米季是N_2O排放的主要时期(N_2O累积排放占全年的59%~78%).土壤NO-3含量、WFPS和土壤温度都对N_2O有显著影响.主效应和交互作用分析证明,氮肥水平对两季作物产量、秸秆还田对冬小麦的产量有显著影响;耕作方式与氮肥水平、秸秆还田分别对两季作物产量和CH_4有极显著的交互作用,秸秆处理和氮肥水平对CH_4排放和冬小麦产量有显著的交互作用;三因素的交互作用体现在对冬小麦产量和两季作物的总产量有显著影响.在华北平原当前氮肥水平上降低30%仍能维持和当地常规农业管理措施相同的作物产量,降低N_2O和CH_4排放45%以上,秸秆还田体现出降低N_2O排放以及长期提高土壤有机碳水平的效益.     

Influence of organic ley–arable management and afforestation in sandy loam to clay loam soils on fluxes of N2O and CH4 in Scotland

Assessment of the sustainability of alternatives to conventional uses of agricultural land, viz. organic systems and afforestation should include consideration of any effects on trace gas budgets. Nitrous oxide (N₂O) and methane (CH₄) fluxes and controlling soil properties were measured in an organic ley–arable rotation in north-east Scotland on a sandy loam. N₂O fluxes were monitored in the ley and arable phases and in organic permanent grass (Lolium perenne) located nearby throughout the 3-year phase duration. Gas fluxes in woodland that had been converted from arable for 1 or 6 years were also measured in both north-east and south-east Scotland on sandy loam to clay loam soils. The climate is maritime and variable with annual rainfall between 800 and 900 mm. Within the organic rotation, differences in N₂O fluxes between the ley and arable phases were less marked than in conventional agriculture. Although this was mainly because grassland emissions were low, some losses from the arable component were also relatively high. Seasonal rainfall had a major influence on cumulative emissions of N₂O, including the first year after conversion from ley to arable. In the short term, changing land use from arable to woodland increased CH₄ oxidation rates and decreased N₂O emissions, though both these rates were also influenced by seasonal weather. Afforestation of agricultural land appears to be more beneficial to trace gas exchange than conversion to organic production.     

2010年中国机动车CH4和N2O排放清单

中国大部分机动车温室气体排放研究都集中于CO₂排放,对于CH₄和N₂O等排放的研究鲜见. 以中国机动车污染防治年报(2011年)、中国汽车工业年鉴(2011年)、中国统计年鉴(2011年)以及交通运输部发布的相关信息和数据(2011年)等为基础,结合文献调研和2008─2010年对北京、广州等国内10余座典型城市的实地调查结果,获得2010年我国机动车活动水平及排放特征. 基于上述基础信息,解析得到按不同车型、燃料和车龄分布的机动车保有量、年均行驶里程及排放因子,建立2010年中国机动车CH₄和N₂O排放清单. 结果表明:2010年中国机动车CH₄和N₂O排放量分别为23.90×104和6.01×104t,折算成CO₂分别为501.99×104和1862.51×104t. 不确定性分析则显示,中国CH₄排放量在18.21×104～27.52×104t之间,N₂O排放量在4.32×104～7.62×104t之间. 在机动车中,汽车CH₄和N₂O排放量最大,分担率(某车型污染物排放量占机动车排放总量的比例)分别为77.99%和94.22%,而摩托车和农用车排放分担率较小. 在各类汽车中,CH₄排放主要来源于轻型汽油车和天然气出租车,二者的排放分担率分别为47.98%和23.42%;N₂O排放则主要源于轻型汽油车,其分担率为73.09%. 因此,轻型汽油车是削减机动车CH₄和N₂O排放的重点车型,同时天然气出租车也应作为控制CH₄排放的主要车型.      

Disaggregated greenhouse gas emission inventories from agriculture via a coupled economic-ecosystem model

Estimates of regional greenhouse gas emissions from agricultural systems are needed to evaluate possible mitigation strategies with respect to environmental effectiveness and economic feasibility. Therefore, in this study, we used the GIS-coupled economic-ecosystem model EFEM–DNDC to assess disaggregated regional greenhouse gas (GHG) emissions from typical livestock and crop production systems in the federal state of Baden-Württemberg, Southwest Germany. EFEM is an economic farm production model based on linear programming of typical agricultural production systems and simulates all relevant farm management processes and GHG emissions. DNDC is a process-oriented ecosystem model that describes the complete biogeochemical C and N cycle of agricultural soils, including all trace gases.Direct soil emissions were mainly related to N₂O, whereas CH₄ uptake had marginal influence (net soil C uptake or release was not considered). The simulated N₂O emissions appeared to be highly correlated to N fertilizer application (R² = 0.79). The emission factor for Baden-Württemberg was 0.97% of the applied N after excluding background emissions.Analysis of the production systems showed that total GHG emissions from crop based production systems were considerably lower (2.6–3.4 Mg CO₂ eq ha⁻¹) than from livestock based systems (5.2–5.3 Mg CO₂ eq ha⁻¹). Average production system GHG emissions for Baden-Württemberg were 4.5 Mg CO₂ eq ha⁻¹. Of the total 38% were derived from N₂O (direct and indirect soil emissions, and manure storage), 40% were from CH₄ (enteric fermentation and manure storage), and 22% were from CO₂ (mainly fertilizer production, gasoline, heating, and additional feed). The stocking rate was highly correlated (R² = 0.85) to the total production system GHG emissions and appears to be a useful indicator of regional emission levels.     

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.     

椰糠生物炭对热区双季稻田N2O和CH4排放的影响

基于稻菜轮作模式,选择海南双季稻田为对象进行氧化亚氮（N₂O）和甲烷（CH₄）排放的原位监测,探究椰糠生物炭对该系统稻田温室气体排放的影响.试验设当地常规施肥对照（CON）、氮肥配施20 t·hm^-2生物炭（B1）、氮肥配施40 t·hm^-2生物炭（B2）及不施氮对照（CK）4个处理,采用静态箱-气相色谱法监测整个水稻种植季稻田N₂O和CH₄排放,并估算增温潜势（GWP）和温室气体排放强度（GHGI）.结果表明,早稻季N₂O排放动态与土壤矿质氮含量密切相关,排放集中在水稻苗期与分蘖期施肥后,各处理早稻季N₂O累积排放量为0.18~0.76 kg·hm^-2,相较于CON处理,生物炭处理减排18%~43%,其中B2处理达显著水平;生物炭可能通过促进N₂O的还原减少早稻苗期N₂O排放;提高土壤硝态氮含量而增加了早稻分蘖期N₂O排放.晚稻季N₂O排放集中在抽穗期和成熟期,累积排放量为0.17~0.34 kg·hm^-2,B1处理减排37%,B2增加3%,差异均不显著.稻田CH₄排放高峰出现在早稻季后期与晚稻季前期.各处理早稻季CH₄累积排放量为3.11~14.87 kg·hm^-2,CK较CON处理增排39%,生物炭处理可能提高土壤通气性限制早稻季产CH₄能力,B1和B2处理分别较CON减排28%和71%;晚稻季CH₄累积排放量为53.1~146.3 kg·hm^-2,排放动态与NH₄⁺-N含量极显著正相关,CK和B1分别较CON处理增加52%和99%,B2处理显著增加176% CH₄排放.早稻季B1和B2处理较CON分别增产12.0%和14.3%,晚稻季分别增产7.6%和0.4%.由于晚稻季甲烷排放的增加,施用生物炭增加了双季稻田总增温潜势（GWP）,其中高量生物炭达显著水平;不同施用量生物炭对双季稻田温室气体排放强度（GHGI）无显著影响.椰糠生物炭在热区稻田温室气体减排方面的应用仍需进一步研究.     

施用不同污泥堆肥品对土壤温室气体排放的影响

通过田间试验,分别施加两种不同的污泥堆肥品（A：含生物质炭堆肥品,B：不含生物质炭堆肥品）和不同施肥量,分析土壤CO₂、CH₄和N₂O动态变化特征和排放系数,研究施用污泥堆肥品对土壤温室气体排放的影响.结果表明,土壤CO₂和CH₄排放主要集中在生长期,生物质炭堆肥品低施用量能减少CO₂排放,而高施肥量增加CO₂排放.CH₄排放主要为负值,总体表现为土壤吸收CH₄,对照处理吸收量远高于其他处理（P<0.01）,A组处理CH₄吸收量随施肥量的增加而增加（P<0.05）.N₂O排放集中在发芽期和幼苗期,施肥量越高,排放量越大（P<0.01）.污泥堆肥品农用过程排放的温室气体主要是N₂O,施用A、B两种污泥堆肥品的土壤N₂O排放系数分别为1.02%~1.90%和1.28%~2.93%.生物质炭堆肥品具有显著的碳减排效果,其温室气体排放量比不含生物质炭堆肥品的土壤低19.49%~35.56%,且对于N₂O的减排效果较CH₄更为显著.     

Biochar addition to agricultural soil increased CH4 uptake and water holding capacity – Results from a short-term pilot field study

Biochar addition to agricultural soil has been suggested to mitigate climate change through increased biogenic carbon storage and reduction of greenhouse gas emissions. We measured the fluxes of N₂O, CO₂, and CH₄ after adding 9 t ha^?1 biochar on an agricultural soil in Southern Finland in May 2009. We conducted these measurements twice a week for 1.5 months, between sowing and canopy closure, to capture the period of highest N₂O emissions, where the potential for mitigation would also be highest. Biochar addition increased CH₄ uptake (96% increase in the average cumulative CH₄ uptake), but no statistically significant differences were observed in the CO₂ and N₂O emissions between the biochar amended and control plots. Added biochar increased soil water holding capacity by 11%. Further studies are needed to clarify whether this may help balance fluctuations in water availability to plants in the future climate with more frequent drought periods.     

不同施氮处理下旱作农田土壤CH_4、N_2O气体排放特征研究

依托甘肃农业大学布设在定西市李家堡镇的长期施氮定位实验,对不同施氮农田CH4和N2O气体通量,采用静态箱-气相色谱法进行小麦生育期的连续观测,并对影响通量变化的环境因子同期观测.结果表明:5个施氮处理下(0、52.5、105、157.5、210 kg·hm-2),旱作农田土壤在小麦全生育期内表现为CH4累积通量的汇和N2O累积通量的源;且不施氮处理时,CH4累积吸收通量最大;施氮量为210 kg·hm-2时,土壤CH4的累积吸收通量所受抑制最大,即土壤CH4累积吸收通量随施氮量升高而降低.相反,不施氮处理时,土壤N2O的累积排放通量最小,施氮量为210 kg·hm-2时,土壤N2O的累积排放通量最大,土壤N2O累积排放通量随施氮量的增加而增大.综合分析,施氮量增大会抑制全生育期旱作春小麦田土壤CH4吸收通量,提高土壤N2O的排放通量.因此,合理控制施氮量有利于生育期旱作农田土壤减排.CH4平均吸收通量随土壤温度的升高而降低,随土壤水分的升高而升高;相反,N2O平均排放通量随土壤温度的升高而升高,随土壤水分的升高而降低.5~10 cm层次的土壤温度与CH4平均吸收通量呈极显著线性负相关,与N2O平均排放通量呈显著正相关.5~10 cm层次的土壤水分与CH4平均吸收通量呈极显著线性正相关,与N2O平均排放通量呈显著负相关.     

The role of CH4 and N2O emission reductions in the cost-effective control of the greenhouse gas emissions from Finland

The reduction of carbon dioxide (CO₂) emissions may be quite expensive and it is necessary to consider reduction measures for other anthropogenic greenhouse gases, such as methane (CH₄) and nitrous oxide (N₂O) as well. Their contribution to the total GHG emission from Finland is about 15–20%. In Finland most of the CH₄ emissions are due to waste management, agriculture and burning processes. N₂O emissions originate from burning processes, agriculture, industry and atmospheric deposition of nitrogen. The cost-effective reduction of the Finnish GHG emissions has been studied with the EFOM-ENV model, which is a quasi-dynamic linear energy system optimisation model. The target function to be minimised is the total discounted cost for the modelled system. In this study the model has been expanded to cover all well-known anthropogenic CO₂, CH₄ and N₂O sources and reduction measures. The results indicate it is economic to reduce the emissions of CO₂, CH₄ and N₂O in Finland. It is profitable to exploit the economic reduction potential of CH₄ and N₂O, because then the abatement of CO₂ emissions does not need to be as extensive as when the reduction is aimed only at CO₂ emissions. The inclusion of CH₄ and N₂O decreases the annual reduction costs about 20% in the year 2010.     

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.     

快速城市化区河流温室气体排放的时空特征及驱动因素

河流是大气温室气体重要的排放源,近十多年来全球城市化导致河流生态系统各要素发生改变,对河流水体温室气体排放产生影响.为研究快速城市化区不同土地利用方式下河流温室气体排放的时空特征及其影响因素,采用薄边界层模型法,于2014年9月(秋季)和12月(冬季)及2015年3月(春季)和6月(夏季)的晴天对重庆市区内梁滩河干、支流水体pCO_2、CH_4、N_2O溶存浓度进行监测.结果表明,梁滩河干、支流水体pCO_2范围为(23. 38±34. 89)～(1395. 33±55. 45) Pa、CH_4溶存浓度范围(65. 09±28. 09)～(6 021. 36±94. 36) nmol·L~(-1)、N_2O溶存浓度范围为(29. 47±5. 16)～(510. 28±18. 34)nmol·L~(-1); CO_2、CH_4和N_2O排放通量分别为-6. 1～786. 9、0. 31～27. 62和0. 06～1. 08 mmol·(m~2·d)~(-1);流域水体温室气体浓度空间格局与快速城市化带来的污染负荷空间梯度吻合,干流温室气体浓度与通量从上游向下游均呈先增加后降低,在城市化速度最快的中游出现峰值,其中城市河段CO_2和CH_4浓度约为非城市河段的2倍,同时支流水体自上游农业区向下游城市区呈显著增加;由于受到降雨、温度、外源输入的综合影响,河流CO_2排放通量呈秋季冬季夏季春季的季节模式,CH_4排放通量春季最高夏季最低,N_2O排放通量季节差异不显著.流域水体碳、氮含量均较高,水体CO_2的产生和排放不受生源要素限制,但受水温、pH、DO、叶绿素a等生物代谢因子影响; CH_4的产生和排放受水体碳、氮、磷含量和外源污水输入的共同驱动; N_2O的产生和排放主要受高N_2O浓度的城市污水排放影响.本研究认为流域快速城市化加快了河流水体温室气体排放,形成排放热源,因此城市河流温室气体排放对全球河流排放通量的贡献可能被忽视,在未来研究中应受到更多关注.     

Leakage of nitrous oxide emissions within the Spanish agro-food system in 1961–2009

In this paper we examine the trends of nitrous oxide (N₂O) emissions of the Spanish agricultural sector related to national production and consumption in the 1961–2009 period. The comparison between production- and consumption-based emissions at the national level provides a complete overview of the actual impact resulting from the dietary choices of a given country and allows the evaluation of potential emission leakages. On average, 1.5 % of the new reactive nitrogen that enters Spain every year is emitted as N₂O. Production- and consumption-based emissions have both significantly increased in the period studied and nowadays consumption-based emissions are 45 % higher than production-based emissions. A large proportion of the net N₂O emissions associated with imported agricultural goods comes from countries that are not committers for the United Nations Framework Convention on Climate Change Kyoto Protocol Annex I. An increase in feed consumption is the main driver of the changes observed, leading to a remarkable emission leakage in the Spanish agricultural sector. The complementary approach used here is essential to achieve an effective mitigation of Spanish greenhouse gas emissions.     

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.     

应用DNDC模型估算区域农业土壤N2O释放通量和释放量——以贵州省为例

根据ＤＮＤＣ模型能较好地拟合贵州省玉米－油菜轮作田、大豆－冬小麦轮作田和休耕地的N₂O释放通量及其影响因子的季节变化模式,采用ＤＮＤＣ模型估算了以县为空间分辨尺度的贵州省农业土壤１９９５ 年N₂O释放通量和释放量;定量评估了施肥和耕作农业活动对该地区N₂O释放量的贡献． 本工作将为准确估算我国农业土壤的N₂O释放量和提出科学的减排措施提供研究基础和方法参考．     

Effects of aeration method and aeration rate on greenhouse gas emissions during composting of pig feces in pilot scale

The aim of this study was to uncover ways to mitigate greenhouse gas(GHG) emissions and reduce energy consumption during the composting process. We assessed the effects of different aeration rates(0, 0.18, 0.36, and 0.54 L/(kg dry matter(dm)·min)) and methods(continuous and intermittent) on GHG emissions. Pig feces and corn stalks were mixed at a ratio of 7:1. The composting process lasted for 10 weeks, and the compost was turned approximately every 2 weeks. Results showed that both aeration rate and method significantly affected GHG emissions. Higher aeration rates increased NH3 and N2O losses,but reduced CH4 emissions. The exception is that the CH4 emission of the passive aeration treatment was lower than that of the low aeration rate treatment. Without forced aeration,the CH4 diffusion rates in the center of the piles were very low and part of the CH4 was oxidized in the surface layer. Intermittent aeration reduced NH3 and CH4 losses, but significantly increased N2 O production during the maturing periods. Intermittent aeration increased the nitrification/denitrification alternation and thus enhanced the N2 O production. Forced aeration treatments had higher GHG emission rates than the passive aeration treatment. Forced aeration accelerated the maturing process, but could not improve the quality of the end product. Compared with continuous aeration, intermittent aeration could increase the O2 supply efficiency and reduced the total GHG emission by 17.8%, and this reduction increased to 47.4% when composting was ended after 36 days.     

Effects of plant diversity on greenhouse gas emissions in microcosms simulating vertical constructed wetlands with high ammonium loading

Wastewater with relatively high nitrogen concentrations is a major source of nitrous oxide (N₂O) and methane (CH₄) emissions and exerts multiple stresses on the environment. Studies have shown that plant diversity plays an important role in ecosystem functioning. However, the effects of plant species diversity on CH₄ and N₂O emissions under high ammonium (NH₄⁺-N) loading rates remain unclear. In this study, a microcosm experiment simulating vertical constructed wetlands supplied with high NH₄⁺-N water levels was established. The treatments included four species richness levels (1, 2, 3, 4) and 15 species compositions. There was no significant relationship between species richness and N₂O emissions. However, N₂O emissions were significantly reduced by specific plant species composition. Notably, the communities with the presence of Rumex japonicus L. reduced N₂O emissions by 62% compared to communities without this species. This reduction in N₂O emissions may have been a result of decreased N concentrations and increased plant biomass. CH₄ emissions did not respond to plant species richness or species identity. Overall, plant species identity surpassed species richness in lowering N₂O emissions from constructed wetlands with high NH₄⁺-N water. The results also suggest that communities with R. japonicus could achieve higher N removal and lower greenhouse gas emissions than other wetland species.