东北典型旱作农田N2O和CH4排放通量研究

应用封闭式箱法技术测定了玉米、大豆田中N₂O和CH₄全年的通量变化。指出N₂O排放有明显的季节变化和明显的日变化。大量的N₂O排放发生在作物生长季节中。在冰雪溶化期和收割作物后也有一定量的N₂O从土壤中排放。此外,实验结果也指出,玉米和大豆田作为大气CH₄源或汇的作用不明显。     

施硅对增温稻田CH4和N2O排放的影响

夜间增温幅度大于白天是气候变暖的显著特征。夜间增温影响水稻生产及CH4和N2O排放。硅是作物有益元素,施硅可提高产量,减少稻田CH4排放。增温或施硅单因子对稻田CH4和N2O排放影响已有报道,但二者耦合如何影响水稻生产及稻田CH4和N2O排放,尚不清楚。通过田间模拟试验,研究了夜间增温下施硅对水稻生长、产量及温室气体持续增温/冷却潜势和排放强度的影响。采用铝箔反光膜夜间(19:00-6:00)覆盖水稻冠层进行模拟夜间增温试验。增温设2水平,即常温对照(CK)和夜间增温(NW);施硅量设2水平,即Si0(不施硅)和Si1(钢渣硅肥,200 kgSiO2/ha)。结果表明,施硅可缓解夜间增温对水稻根系活力的抑制作用,降低夜间增温对水稻地上部、地下部干重和产量的抑制作用。夜间增温显著提高CH4累计排放量,而施硅显著降低CH4累计排放量。夜间增温下施硅处理稻田CH4累计排放量在分蘖期、拔节期、抽穗-扬花期和灌浆成熟期比未施硅处理分别低48.12%、49.16%、61.59%和39.13%。夜间增温或施硅均促进稻田N2O排放,夜间增温下施硅在上述生育期以及全生育期的累计排放量依次比对照高78.17%、51.45%、52.01%、26.14%和40.70%。研究认为,施硅可缓解夜间增温对稻田综合增温潜势和排放强度的促进作用。     

夜间增温品种混栽对稻田土壤CH4和N2O排放的影响

夜间增温幅度大于白天是气候变暖主要特征之一。夜间增温对水稻生产及CH₄和N₂O排放的影响备受关注。品种混栽可提高水稻产量,增强水稻植株抗性。增温或混栽单因子对稻田CH₄和N₂O排放影响已有报道,但二者耦合如何影响水稻生产及稻田CH₄和N₂O排放,尚不清楚。采用2因素随机区组设计,通过田间试验研究了夜间增温下品种混栽对水稻产量、CH₄和N₂O综合增温潜势和排放强度的影响。夜间增温设2水平,即对照（CK,control）和增温（NW,nighttime warming）;品种混栽设2水平,即混作（I,intercropping）,单作（M,monocropping）,混栽处理将主栽品种（超级稻南粳9108）与次栽品种（杂交稻深两优884）以3：1的比例种植。水稻生长期用铝箔反射膜覆盖水稻冠层进行被动式夜间增温试验（19：00-6：00）。结果表明,夜间增温或品种混栽均显著降低水稻植株分蘖数和生物量。品种混栽显著提高水稻产量,而夜间增温则显著降低产量。品种混栽可缓解夜间增温对水稻产量的抑制作用。夜间增温下品种混栽处理稻田CH₄累计排放量在分蘖期、拔节-孕穗期、抽穗-扬花期和灌浆-成熟期比单作对照分别高55.32%、45.89%、43.49和125.82%。夜间增温下品种混栽处理稻田N₂O累计排放量在分蘖期、拔节-孕穗期和抽穗-扬花期分别比单作对照高64.44%、46.26%和42.07%。研究认为,夜间增温下品种混栽显著提高稻田CH₄和N₂O排放通量和累积排放量,显著增加综合增温潜势（GWP）和排放强度（GHGI）。     

大气CO2增加对陆地生态系统微量气体地气交换的影响

简要综述了近年来国内外在大气CO₂浓度增加对微量气体交换影响方面的研究进展.首先介绍了有关大气CO₂浓度增加的研究技术和方法,比较了目前两种常用技术开顶箱(OTC)和开放式空气CO₂增加(FACE)方法的优缺点,然后着重阐述了用OTC和FACE研究陆地生态系统CH₄、N₂O、CO₂等微量气体的地气交换对大气CO₂浓度增加的响应.综合现有的资料表明,大气CO₂浓度增加,会促进绿色植物生物量增加,同时改变生物质的C/N比,降低有机质的分解速率,增强了陆地生态系统对大气CO₂的固持作用;大气CO₂浓度增加会提高产甲烷菌的活性和影响CH₄的排放过程,有可能导致湿地生态系统CH₄的排放增加;大气CO₂浓度增加对N₂O排放影响的研究较少,且尚无一致的结论.另外,对于其他微量气体,尚没有相关研究报道.鉴于此,今后应加强大气CO₂浓度增加的微量气体地气交换响应研究.     

UV-B增强下施硅对稻田CH4和N2O排放及其增温潜势的影响

大气平流层臭氧损耗导致的地表紫外辐射增强作为全球变化重要问题之一,受到广泛关注。硅是水稻生长有益元素,但施硅是否影响稻田CH_4和 N_2O排放,迄今相关报道尚不多见。通过大田试验,研究UV-B增强下施硅对水稻生长、稻田甲烷(CH_4)和氧化亚氮( N_2O)排放及其增温潜势的影响。UV-B辐照设2水平,即对照(A,自然光)和增强20%(E);施硅量设2水平,即对照(Si0,0 kg SiO_2/hm2)和施硅(Si1,200 kg SiO_2/hm2)。结果表明,UV-B增强降低了成熟期水稻地上部和地下部生物量,而施硅能缓解UV-B增强对水稻生长的抑制作用,使水稻地上部和地下部生物量增加。UV-B增强可显著提高稻田CH_4和 N_2O排放通量和累积排放量,增加稻田CH_4和 N_2O排放的综合增温潜势。施硅能明显降低稻田CH_4排放,促进 N_2O排放,降低稻田CH_4和 N_2O排放的综合增温潜势。研究表明,施硅显著降低稻田CH_4和 N_2O的全球增温潜势,缓解UV-B增强对稻田CH_4和 N_2O的全球增温潜势的促进作用。     

应用DNDC模型分析管理措施对稻麦轮作系统CH4和N2O综合温室效应的影响

以南京地区稻麦轮作体系为对象,研究了不同农业管理措施对CH4和N2O排放通量及年度动态变化的影响,用田间观测数据验证生物地球化学循环模型(DNDC)在该耕作制度下的适用性;利用DNDC模型模拟不同环境因子和管理措施对CH4和N2O综合温室效应(GWP)的影响.结果表明:除了对照和麦季对CH4排放的模拟偏差较大外,DNDC对其余各处理模拟的CH4和N2O累积排放量与田间观测结果基本吻合,相对偏差变幅7.1%～26.3%,可以直接应用DNDC模型模拟环境因子和主要管理措施对CH4和N2O累积排放量引起GWP的影响.模型灵敏度检验结果表明,年均温度、土壤容重、土壤有机碳、土壤质地、土壤pH等环境因子对GWP的影响显著;施用氮肥、秸秆还田量和烤田期长短等管理因子对GWP的影响明显.在估算我国稻麦轮作制度下温室气体的点或区域排放规律时,应考虑上述这些影响因子.     

添加氧化铁对水稻土中H2、CO2和CH4形成的影响

水稻土是甲烷产生的重要源地.厌氧条件下甲烷的形成与有机质厌氧降解产生的乙酸、H₂和CO₂有关.氧化铁作为电子受体可有效地竞争有机质向甲烷的转化,其抑制作用机理可能与乙酸、H₂和CO₂的有效消耗有关.通过向水稻土泥浆中添加无定形氧化铁和纤铁矿,分别测定了25℃厌氧恒温培养105d过程中的H₂、CO₂和CH₄的浓度变化.结果表明,添加无定形氧化铁及纤铁矿可导致H₂浓度显著降低;无定形氧化铁对H₂消耗的影响明显大于纤铁矿;添加不同氧化铁对CO₂浓度的影响与H₂浓度的变化有相同的趋势;添加氧化铁能显著抑制水稻土中甲烷形成,并导致有机碳的转移发生变化,使得CH₄-C显著降低,气相中CO₂-C量减少,而由土壤泥浆固定的CO₃^2--C量显著增加.     

好氧氨氧化过程中的关键酶及N2O排放研究进展

氧化亚氮(nitrous oxide, N₂O)排放量的持续增加对全球生态平衡造成了严重的威胁。微生物N₂O排放占主要来源。其中,好氧氨氧化过程是氨在有氧的条件下氧化为亚硝酸盐,其直接或间接地影响着全球产生N₂O与释放量。氨氧化古菌(ammonia-oxidizing archaea, AOA)、氨氧化细菌(ammonia-oxidizing bacteria, AOB)、全程氨氧化菌(complete ammonia oxidization, Comammox)和异养氨氧化菌(heterotrophic ammonium oxidizing bacteria, HAOB)是氨氧化过程中主要的参与者,明确这四类微生物N₂O产生的机制对缓解全球N₂O排放是必要的。本文综述了AOA、AOB、Comammox和HAOB在好氧氨氧化过程中驱动的N₂O产生途径,并结合酶学分析了一些关键酶在N₂O产生途径中的作用。本文旨在为调控生物N₂O排放提供理论基础。     

黑土稻田CH4与N2O排放及减排措施研究

通过对黑土稻田CH₄和N₂O排放的观测,发现水稻生长季CH₄和N₂O排放量低于全国其它地区稻田.CH₄和N₂O排放之间存在互为消长关系(r=-0.513,P<0.05).但在同样施肥水平条件下,间歇灌溉与长期淹灌相比,CH₄排放明显减少而N₂O略有增加,其相对综合温室效应被大大减少且水稻产量未受影响.为此,间歇灌溉可作为减少稻田温室气体排放的水分管理措施.另外,通过对CH₄和N₂O排放的相关微生物过程探讨,揭示产甲烷菌数与CH₄排放间呈显著性正相关(R²=0.82,P<0.05),硝化菌数和反硝化菌数与N₂O排放有重要关系.     

生物黑炭对旱地土壤CO2、CH4、N2O排放及其环境效益的影响

采用土柱室内模拟的方法,通过添加0%、0.5%、2%、4%、6%、8%生物黑炭于土壤中,测定土壤CO2、CH4、N2O排放通量,探讨生物黑炭对旱地土壤CO2、CH4、N2O排放及其环境效益的影响。结果表明:室内模拟土柱培养期内,施用生物黑炭能显著增加CO2排放,且生物黑炭添加百分数(x)与CO2累积排放量(y)之间满足线性方程:y=12.591x+235.02(R2=0.834,n=24);当生物黑炭添加量达到2%及以上时,基本抑制了CH4的排放和显著减少土壤N2O排放,并显著减少CH4和N2O的综合温室效应,当其达到4%以上时,CH4和N2O的综合温室效应降幅更大并趋于稳定,但施用少量生物黑炭(0.5%)可显著促进N2O排放,对减少CH4和N2O综合温室效应并无明显效果。生物黑炭表观分解率随其添加量的增加逐渐减少,生物黑炭添加比例越高,积累于土壤中的碳越多,从投入生物黑炭量与固碳量和减排比角度综合考虑,农业生产中推荐生物黑炭施用量为20 t/hm2,其固碳减排效果俱佳。     

Emission of N2O, N2, CH4, and CO2 from constructed wetlands for wastewater treatment and from riparian buffer zones

We measured nitrous oxide (N₂O), dinitrogen (N₂), methane (CH₄), and carbon dioxide (CO₂) fluxes in horizontal and vertical flow constructed wetlands (CW) and in a riparian alder stand in southern Estonia using the closed chamber method in the period from October 2001 to November 2003. The replicates’ average values of N₂O, N₂, CH₄ and CO₂ fluxes from the riparian gray alder stand varied from −0.4 to 58 μg N₂O-N m⁻² h⁻¹, 0.02–17.4 mg N₂-N m⁻² h⁻¹, 0.1–265 μg CH₄-C m⁻² h⁻¹ and 55–61 mg CO₂-C m⁻² h⁻¹, respectively. In horizontal subsurface flow (HSSF) beds of CWs, the average N₂ emission varied from 0.17 to 130 and from 0.33 to 119 mg N₂-N m⁻² h⁻¹ in the vertical subsurface flow (VSSF) beds. The average N₂O-N emission from the microsites above the inflow pipes of the HSSF CWs was 6.4–31 μg N₂O-N m⁻² h⁻¹, whereas the outflow microsites emitted 2.4–8 μg N₂O-N m⁻² h⁻¹. In VSSF beds, the same value was 35.6–44.7 μg N₂O-N m⁻² h⁻¹. The average CH₄ emission from the inflow and outflow microsites in the HSSF CWs differed significantly, ranging from 640 to 9715 and from 30 to 770 μg CH₄-C m⁻² h⁻¹, respectively. The average CO₂ emission was somewhat higher in VSSF beds (140–291 mg CO₂-C m⁻² h⁻¹) and at the inflow microsites of HSSF beds (61–140 mg CO₂-C m⁻² h⁻¹). The global warming potential (GWP) from N₂O and CH₄ was comparatively high in both types of CWs (4.8 ± 9.8 and 6.8 ± 16.2 t CO₂ eq ha⁻¹ a⁻¹ in the HSSF CW 6.5 ± 13.0 and 5.3 ± 24.7 t CO₂ eq ha⁻¹ a⁻¹ in the hybrid CW, respectively). The GWP of the riparian alder forest from both N₂O and CH₄ was relatively low (0.4 ± 1.0 and 0.1 ± 0.30 t CO₂ eq ha⁻¹ a⁻¹, respectively), whereas the CO₂-C flux was remarkable (3.5 ± 3.7 t ha⁻¹ a⁻¹). The global influence of CWs is not significant. Even if all global domestic wastewater were treated by wetlands, their share of the trace gas emission budget would be less than 1%.     

Ecosystem–atmosphere exchange of CH4 and N2O and ecosystem respiration in wetlands in the Sanjiang Plain, Northeastern China

Natural wetlands are critically important to global change because of their role in modulating atmospheric concentrations of CO₂, CH₄, and N₂O. One 4‐year continuous observation was conducted to examine the exchanges of CH₄ and N₂O between three wetland ecosystems and the atmosphere as well as the ecosystem respiration in the Sanjiang Plain in Northeastern China. From 2002 to 2005, the mean annual budgets of CH₄ and N₂O, and ecosystem respiration were 39.40 ± 6.99 g C m^?2 yr^?1, 0.124 ± 0.05 g N m^?2 yr^?1, and 513.55 ± 8.58 g C m^?2 yr^?1 for permanently inundated wetland; 4.36 ± 1.79 g C m^?2 yr^?1, 0.11 ± 0.12 g N m^?2 yr^?1, and 880.50 ± 71.72 g C m^?2 yr^?1 for seasonally inundated wetland; and 0.21 ± 0.1 g C m^?2 yr^?1, 0.28 ± 0.11 g N m^?2 yr^?1, and 1212.83 ± 191.98 g C m^?2 yr^?1 for shrub swamp. The substantial interannual variation of gas fluxes was due to the significant climatic variability which underscores the importance of long‐term continuous observations. The apparent seasonal pattern of gas emissions associated with a significant relationship of gas fluxes to air temperature implied the potential effect of global warming on greenhouse gas emissions from natural wetlands. The budgets of CH₄ and N₂O fluxes and ecosystem respiration were highly variable among three wetland types, which suggest the uncertainties in previous studies in which all kinds of natural wetlands were treated as one or two functional types. New classification of global natural wetlands in more detailed level is highly expected.     

Greenhouse gas dynamics in boreal, littoral sediments under raised CO2 and nitrogen supply

SUMMARY 1. The effects of increasing CO₂ and nitrogen loading and of a change in water table and temperature on littoral CH₄, N₂O and CO₂ fluxes were studied in a glasshouse experiment with intact sediment cores including vegetation (mainly sedges), taken from a boreal eutrophic lake in Finland. Sediments with the water table held at a level of 0 or at ?15 cm were incubated in an atmosphere of 360 or 720 p.p.m. CO₂ for 18 weeks. The experiment included fertilisation with NO₃^– and NH₄⁺ (to a total 3 g N m^?2). 2. Changes in the water table and temperature strongly regulated sediment CH₄ and cCO₂ fluxes (community CO₂ release), but did not affect N₂O emissions. Increase in the water table increased CH₄ emissions but reduced cCO₂ release, while increase in temperature increased emissions of both CO₂ and CH₄. 3. The raised CO₂ increased carbon turnover in the sediments, such that cCO₂ release was increased by 16–26%. However, CH₄ fluxes were not significantly affected by raised CO₂, although CH₄ production potential (at 22 °C) of the sediments incubated at high CO₂ was increased. In the boreal region, littoral CH₄ production is more likely to be limited by temperature than by the availability of carbon. Raised CO₂ did not affect N₂O production by denitrification, indicating that this process was not carbon limited. 4. A low availability of NO₃^– did severely limit N₂O production. The NO₃^– addition caused up to a 100‐fold increase in the fluxes of N₂O. The NH₄⁺ addition did not increase N₂O fluxes, indicating low nitrification capacity in the sediments.     

Convergence in the relationship of CO2 and N2O exchanges between soil and atmosphere within terrestrial ecosystems

Ecosystem CO₂ and N₂O exchanges between soils and the atmosphere play an important role in climate warming and global carbon and nitrogen cycling; however, it is still not clear whether the fluxes of these two greenhouse gases are correlated at the ecosystem scale. We collected 143 pairs of ecosystem CO₂ and N₂O exchanges between soils and the atmosphere measured simultaneously in eight ecosystems around the world and developed relationships between soil CO₂ and N₂O fluxes. Significant linear regressions of soil CO₂ and N₂O fluxes were found for all eight ecosystems; the highest slope occurred in rice paddies and the lowest in temperate grasslands. We also found the dominant role of growing season on the relationship of annual CO₂ and N₂O fluxes. No significant relationship between soil CO₂ and N₂O fluxes was found across all eight ecosystem types. The estimated annual global N₂O emission based on our findings is 13.31 Tg N yr⁻¹ with a range of 8.19–18.43 Tg N yr⁻¹ for 1980–2000, of which cropland contributes nearly 30%. Our findings demonstrated that stoichiometric relationships may work on ecological functions at the ecosystem level. The relationship of soil N₂O and CO₂ fluxes developed here could be helpful in biogeochemical modeling and large-scale estimations of soil CO₂ and N₂O fluxes.     

生物炭与氮肥对旱作春玉米农田CO_2和CH_4排放特征的影响

为了研究生物炭与氮肥对旱作春玉米农田CO_2和CH_4排放通量季节变化、累积排放总量及CO_2+CH_4排放强度的影响,试验设置C_0N_0(不加生物炭,不施氮肥)、C_0N_1(不加生物炭,施氮肥225kg·hm~(-2))和C_1N_1(添加生物炭50t·hm~(-2),施氮肥225kg·hm~(-2))3个处理,采用密闭式静态暗箱-气相色谱法对不同生物炭和氮肥输入旱作春玉米农田CO_2和CH_4排放通量进行连续观测,同时对影响通量变化的0~20cm土层温度和水分因子进行测定。结果表明:(1)试验期内不同处理春玉米农田均表现为CO_2累积通量的源,且CO_2排放通量均呈现一定的峰值变化规律。(2)C_1N_1处理减少了春玉米生长季农田CO_2排放通量和累积排放总量,在试验的2个生长季内农田CO_2平均排放通量和累积排放总量各处理均表现为C_0N_0C_0N_1C_1N_1,且C_1N_1处理降低显著。(3)土壤CO_2排放通量与土壤温度变化呈显著正相关关系,可用指数方程和二次方程较好拟合二者关系,且与10cm土层温度的相关性优于0cm土层温度,但土壤CO_2排放通量与土壤含水量呈负相关关系。(4)试验各处理农田土壤CH_4排放通量在-16.08~-73.96μg·m~(-2)·h~(-1)之间,表现为大气CH_4的净吸收库;C_1N_1处理增加了土壤CH_4排放通量和累积排放总量,但作用效果的显著性受年际环境因子的影响;农田土壤CH_4排放通量与土壤含水量呈显著正相关关系,与土壤温度呈显著负相关关系。研究发现,添加生物炭和施氮减少了旱作农田春玉米生长季CO_2排放通量和累积排放总量,增加了CH_4排放通量和累积排放总量,总体上显著增加了春玉米产量,显著减少农田CO_2+CH_4排放强度。     

典型温带雨养泥炭沼泽湿地地下部二氧化碳和甲烷浓度变化规律及其影响因素

为研究北方泥炭沼泽湿地二氧化碳(CO₂)和甲烷(CH₄)浓度随深度的变化规律及其影响因素,选取欧洲北部典型雨养泥炭地贝尔山湿地(BBM)和舒特兹山湿地(SBM)两个采样点,通过原位采集泥炭剖面温室气体、孔隙水以及土壤样品,结合傅里叶变换红外光谱(FTIR)技术、碳氮同位素技术,探讨泥炭土壤的分解程度及温室气体浓度变化的关系。研究结果表明:(1)BBM采样点地下部的CO₂浓度变化规律总体呈现随深度波动减少趋势,值多在3000μmol/L附近波动,最大值为4210.74μmol/L(120 cm),SBM采样点的CO₂浓度随深度先增后减,60 cm以上在1800μmol/L附近波动,60 cm以下在3000μmol/L附近波动,最大值为4191.94μmol/L(90 cm);BBM和SBM地下部CH₄浓度都随深度增大,并且在60cm以下浓度增加较快,BBM最大值为735.90μmol/L(260 cm),SBM最大值为543.51μmol/L(170 cm)。(2)BBM和SBM...