Effects and mechanism of freeze-thawing cycles on the soil N2O fluxes in the temperate semi-arid steppe

High nitrous oxide(N2O) emissions during freeze-thawing period(FTP) have been observed in many different ecosystems. However, the knowledge about the dynamic of soil N_2O emissions and its main driving mechanism during the freeze-thawing processes in grassland ecosystem is still limited. An in-situ experiment was conducted during the FTP on the sites with 0 and 15% surplus of the average rainfall and two levels of N addition(0,10 g N/(m~2·year)) during growing season(marked as W0N0, W15N0, W0N10, W15N10, respectively) to explore the effects of water and N background on soil N_2O emissions during FTPs and the relationship between soil N_2O emissions and environmental factors. The results indicated that water and N treatments conducted during growing season did not show significant effect on the N_2O effluxes of FTP, but the soil mineral N contents of W0N10 treatment were significantly higher than those of W0N0, W15N0, W15N10treatments(p 0.05). The soil PLFA concentrations of microbial groups monitored during 2015 spring freeze-thawing period(2015S-FTP) were lower than those during winter freeze-thawing period of 2014(2014W-FTP), while cumulative soil N_2O emissions of 2015S-FTP were higher than those of 2014W-FTP. The correlations between soil N_2O effluxes and most of the measured environmental factors were insignificant, multiple stepwise regression analysis indicated that the soil temperature, soil NH_4~+-N content and air temperature were the major environmental factors which significantly influenced the N_2O effluxes during 2014W-FTP, and air temperature and soil water content were the significant influencing factors during 2015S-FTP.     

Soil emissions of NO, N2O and CO2 from croplands in the savanna region of central Brazil

In the last 40 years, a large area of savanna vegetation in Central Brazil (Cerrado) has been converted to agriculture, with intensive use of fertilizers, irrigation and management practices. Currently, the Cerrado is the main region for beef and grain production in Brazil. However, the consequences of these agricultural practices on NO, N₂O and CO₂ emissions from soil to atmosphere are still poorly investigated. The objectives of this study were to quantify soil emissions of NO-N, N₂O-N and CO₂-C in different no-till cultivation systems in comparison with native savanna vegetation. The agricultural areas included: (a) the maize and Brachiaria ruzizienses intercropping system followed by irrigated bean in rotation; (b) soybean followed by natural fallow; and (c) cotton planting over B. ruzizienses straw. The study was performed from August 2003 to October 2005 and fluxes were measured before and after planting, after fertilizations, during the growing season, before and after harvesting. NO-N fluxes in the soybean field were similar to those measured in the native vegetation. In the cornfield, higher NO-N fluxes were measured before planting than after planting and pulses were observed after broadcast fertilizations. During Brachiaria cultivation NO-N fluxes were lower than in native vegetation. In the irrigated area (bean cultivation), NO-N fluxes were also significantly higher after broadcast fertilizations. Most of the soil N₂O-N fluxes measured under cultivated and native vegetation were very low (<0.6 ng N₂O-N cm⁻² h⁻¹) except during bean cultivation when N₂O-N fluxes increased after the first and second broadcast fertilization with irrigation and during nodule senescence in the soybean field. Soil respiration values from the soybean field were similar to those in native vegetation. The CO₂-C fluxes during cultivation of maize and irrigated bean were twice as high as in the native vegetation. During bean cultivation with irrigation, an increase in CO₂-C fluxes was observed after broadcast fertilization followed by a decrease after the harvest. Significantly lower soil C stocks (0-30 cm depth) were determined under no-tillage agricultural systems in comparison with the stocks under savanna vegetation. Fertilizer-induced emission factors of N oxides calculated from the data were lower than those indicated by the IPCC as default.     

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.     

Assessment of the nitrogen and carbon budget of two managed temperate grassland fields

Greenhouse gas budgets as well as the productivity of grassland systems are closely related to the carbon (C) and nitrogen (N) cycles. Within the framework of the CarboEurope and NitroEurope projects we have measured C and N exchange on the field scale at the grassland site Oensingen previously converted from arable rotation. The site is located on the Swiss Central Plateau and consists of two parallel fields of equal size. One field was subjected to intensive management with average nitrogen input of 230 kg-N ha⁻¹ year⁻¹ and 4–5 cuts per year, and the other to an extensive management with no fertilisation and less frequent cutting. The total C budget of the fields was assessed by measuring the CO₂ exchange by eddy covariance and analysing the carbon import by manure application and export by harvest. The N budget of the managed grassland is more complex. Besides the management related import and export, it includes gaseous exchange in many different forms (NO, NO₂, HNO₃, N₂O, NH₃, N₂) needing different analytical techniques, as well as input by rain and leaching of N-compounds with the soil water. The main (“level-3”) field sites in the NitroEurope project are supposed to measure 95% of the N fluxes at the field scale. For several of the N fluxes specific measurements have been performed for 1 year or longer at the site. Some of the remaining N budget components (dry and wet deposition) could be estimated from results of a national deposition network, while other components (NH₃ and N₂ emission) were estimated based on literature parameterisations. However, we found indications that the (systematic) uncertainties of these estimated N-fluxes are large and that it is important to make site-specific measurement for all relevant budget components. The suitability of corresponding experimental methods is discussed.Analysis of the C budget over a 6-year period (2002–2007) showed a significant mean difference between the two newly established grassland fields with a likely net carbon loss for the extensive management and a net sequestration for the intensive management. Since the C/N ratio of the soil organic matter of the grassland is constrained in a rather narrow range around 9.3, the change in the soil carbon pool is supposed to be accompanied by a corresponding change in the N storage. This approach provided an alternative method to check the N budget of the two grassland fields derived from the individual N fluxes.     

驯化矿化垃圾CH4氧化速率和N2O释放研究

利用畜禽废水驯化矿化垃圾,并将其与原生矿化垃圾和粘土对比,分析了土壤理化性质、含水率、温度等对CH4氧化能力和N2O释放的影响.研究表明:驯化矿化垃圾对CH4的氧化能力(15.48 μmol·g-·h-1)明显高于原生矿化垃圾和所选粘土土样;材料的粒径尺寸、有机质、氨氮硝化率及硝态氮生成率均与CH4氧化能力有着显著的正相关性;驯化矿化垃圾在加入蒸馏水后释放大量的N2O,产生N2O的量是原生矿化垃圾的2倍,并且比粘土高一个数量级.由于驯化矿化垃圾对环境的适应能力强,CH4氧化能力高,进而能够减少温室气体排放,可作为一种较为理想的填埋场覆土材料.     

Effects of cultivation on N2O emission and seasonal quantitative variations of related microbes in a temperate grassland soil

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黄绵土N2O排放的水分效应及动力学特征

通过室内模拟试验,研究湿度对西北地区黄绵土N2O排放的影响.结果表明:在试验温度下,随着土壤湿度增加,土壤N2O捧放量增加;但土壤孔隙含水量(WFPS)为20.67%时例外.此时黄绵土对空气中N2O有吸附现象,即在低含水量时,黄绵土有可能是N2O的汇.在试验设计的土壤湿度范围内,15℃条件下土壤N2O排放的最大水分效应区间在49.18%～57.86%(WFPS)之间,20℃条件下在38.14%～49.18%(WFPS)之间,25℃、30℃和35℃时累积量湿区在20.67%～38.14%(WFPS)之间,即随着温度的升高,N2O的最大水分效应区间提前.土壤N2O累积排放量(y)动力学曲线符合修正的Elovich方程(P<0.01),随着湿度的增加,表观排放速率(b)增大,25℃、300C和35℃时,N2O初始排放量(a)也随着湿度增加而增大;15℃、20℃和25℃时,土壤湿度(20.67%～57.86%WFPS)对农田土样N2O排放总量的作用表现为线性关系,30℃和35℃时表现为对数关系.     

太湖地区湖水与河水中溶解N2O及其排放

水体是N₂O排放的重要来源.2000-09～2001-09,每月2次采样(重复3次)连续监测太湖地区太湖和大运河水体N₂O排放通量和水中溶解的N₂O浓度,还同时监测不同深度水样中的N₂O浓度.结果表明,太湖N₂O-N的年均排放通量为3.53 μg/(m²·h),而大运河已高达122.5,μg/(m²·h).太湖湖水中溶解N₂O-N浓度为0.36μg/L,大运河河水中浓度高达11.31μg/L,浅水型水体是N2O排放的源.结果还表明,不同深度水中N2O浓度差异不明显,而时间差异显著.水面N2O的排放通量和水中溶解的N2O浓度呈显著正相关关系,二者又都与水温呈显著正相关. .     

沼泽湿地CO2、CH4、N2O排放对氮输入的响应

利用静态暗箱-气象色谱法，选取小叶章沼泽化草甸进行野外原位试验，研究氮输入对沼泽湿地CO2、CH4和N2O等3种温室气体排放的影响,结果表明：氮输入对沼泽湿地CO2和CH4排放有明显影响，其季节排放总量分别是对照处理的1.3和2.5倍，但对CO2和CH4的季节变化模式无明显影响；氮输入对N2O的排放强度和季节变化模式均有显著影响,CO2排放通量与5cm深土壤温度存在显著的正相关关系，与地表温度和1.5m气温存在指数关系，而CH4和N2O排放与温度之间没有显著的相关性．在20、100和500年时间尺度上氮输入处理的CH4和N2O全球增温潜势（GWP）分别比对照处理增加了150％、150％和80％，表明氮输入在长、短时间尺度上都是增强CH4和N2O的温室效应的。     

农田生态系统N2O排放的数值模拟研究

综合大气化学等多学科最新研究进展,建立了农田N₂O排放数值模式,模式较好地模拟了农田生态系统中N₂O排放过程.利用模式分析了气象因子对N₂O排放影响.结果表明:苏州稻田N₂O排放量与生长期平均气温存在显著正相关,与总辐射和降水量相关不明显;功率谱分析表明N₂O排放量存在7～9年的变化周期,与平均温度变化周期比较接近.模拟气候变化对N₂O排放的可能影响表明:气温比目前升高1℃,苏州稻田N2O排放量将平均增加4.5%.     

Simulation of temporal and spatial change of N2O emissions in the Yangtze River Delta

A biogeochemical model(DNDC) is combined with a plant ecological model to estimate N2O emission from rice paddy fields in the Yangtze River Delta region. The model is driven by local meteorological, soil, and physiological data and is validated for 1999 and 2000 at a site in the region, which showed that the simulated N2O emissions agree fairly well with the observed data. This adds some confidence in the estimated N2O emissions during 1950 and 2000 in the Hangzhou Region. A significant correlation between the N2O emissions and the population for the Hangzhou Region is found, which is due to a combination of increased application of fertilizers and cultivated area.Such a correlation can not be established for the whole Yangtze River Delta region when the data of both urban and rural are as areincluded. However, when the data from the heavily urbanized areas are excluded, a significant correlation between population and N2O emissions emerges. The results show clearly that both the temporal and the spatial N2O emissions have significant positive relationship with population under traditional farming practice. These results have implications for suitable mitigation options towards a sustainable agriculture and environment in this region.     

内蒙古河套灌区盐碱土壤N2O排放特征

选择内蒙古河套灌区强度盐碱土壤S₁[电导率（EC）2.60dS/m]和轻度盐碱土壤S₂[电导率（EC） 0.74dS/m]为研究对象,2014~2016年,利用静态箱法3年野外原位观测试验,研究盐碱土壤氧化亚氮（N₂O）排放通量.结果表明：2种不同盐碱程度土壤N₂O排放每年均存在显著差异,轻度盐碱土壤N₂O累积排放量低;随EC升高,土壤盐碱程度加重,土壤N₂O累积排放量升高.2014~2016年作物生长季（4~11月）轻度盐碱土壤N₂O累积排放量分别为180.6,167.6,118.2mg/m²;强度盐碱土壤N₂O累积排放量比轻度盐碱土壤分别增加19%、26%和45%,修复盐碱土壤成为减缓盐碱土壤N₂O累积排放的重要农艺措施.     

内蒙古典型草原季节性冻土区土壤剖面CO2、N2O特征

为了评估放牧对内蒙古典型草原季节性冻土区温室气体产生机制的影响,通过气体原位采集系统对该区土壤剖面不同土层N_2O、CO_2浓度动态变化进行了为期1a的田间原位监测.共设3个处理:1979年以来规划的禁牧(UG79)、1999年以来规划的禁牧(UG99)和持续放牧(CG)小区.结果表明:土壤剖面N_2O、CO_2浓度具有明显的时空分布特征:(1)3个处理不同时期土壤剖面CO_2平均浓度均表现为:生长期冻融期冻结期,且生长期CO_2浓度要远大于冻融期和冻结期;UG79土壤剖面CO_2浓度最高,CG最低;不同土层间CO_2浓度有所差异,具体表现为UG79、UG99:20 cm≥50 cm≥35 cm≥10 cm≥5 cm;CG:50 cm≥35 cm≥20 cm≥10 cm≥5 cm;(2)土壤剖面N_2O浓度时空变化特征则与CO_2不同,UG79、UG99呈现出"单峰型"变化规律,CG为"双峰型"变化规律,即虽然CG在生长期N_2O也有微弱的释放,但3个处理土壤剖面N_2O浓度均在土壤冻融期内急剧增加,其中CG处理土壤剖面N_2O平均浓度最高,与UG79、UG99差异显著(P0.05);不同土层土壤剖面N_2O浓度表现为UG79:20 cm≥50 cm≥35 cm≥10 cm≥5 cm;CG:50 cm≥35 cm≥20 cm≥10 cm≥5 cm;UG99:35 cm≥50 cm≥20 cm≥10 cm≥5 cm.研究得出放牧可以使该区土壤剖面CO_2浓度降低、N_2O浓度升高,这为我国草原季节性冻土区温室气体的准确评估提供了重要的理论支持.     

模拟氮沉降对内蒙古克氏针茅草原N2O排放的影响

随着工农业和社会的快速发展,我国成为全世界氮沉降最高的国家之一,温带草原地区的氮沉降水平局部可能超过3g·(m~2·a)~(-1).为研究氮沉降对我国典型草原生态系统氮循环的影响,在内蒙古太仆寺旗的克氏针茅草原,对土壤氧化亚氮(N_2O)的排放进行了为期1 a测定;同时,对该天然草地施加Na NO_3~-N以模拟氮沉降增加,进行了6个水平:CK(对照)、N_2[2g·(m~2·a)~(-1)]、N5[5 g·(m~2·a)~(-1)]、N10[10 g·(m~2·a)~(-1)]、N_25[25 g·(m~2·a)~(-1)]和N50[50 g·(m~2·a)~(-1)]的野外控制实验.结果表明,在自然氮沉降条件下,该生态系统N_2O的排放主要取决于土壤含水量和土壤温度,通过参数拟合估计全年N_2O-N排放量为0.10 g·(m~2·a)~(-1),约为当地氮沉降量的3%.而提高氮沉降可以显著提高N_2O的排放,特别是在高氮处理下(N_25和N50),N_2O的年排放量与模拟氮沉降量呈线性关系.我国温带典型草原较高的温室气体N_2O排放值得关注.     

Pulse emissions of N2O and CO2 from an arable field depending on fertilization and tillage practice

Nitrous oxide (N₂O) emissions from soil are characterized by strong emission pulses. Although several mechanisms are known to create them, pulses are difficult to predict. Currently there is no established systematic way to identify pulses from long-term static chamber measurement results. In this study we suggest a simple algorithm for pulse identification. The algorithm was applied on time series of N₂O and carbon dioxide (CO₂) fluxes from a field study on the long-term impact of fertilization and tillage practice. Between 4 and 9% of N₂O values were pulse values; 20-60% of total emission was emitted as pulses. Minimum tillage resulted in more pulses than plowing. In contrast, long-term averages of N₂O losses from nitrogen (N) fertilizer were similar (3-4%) for all management practices. N₂O emissions per crop yield for increased fertilization practice were double the values for reduced fertilization practice independent of tillage practice. CO₂ emission pulses were scarce and there was no significant effect of management practice on CO₂ pulse probability.     

放牧对草原土壤N2O产生及微生物的影响

利用AIM乙炔抑制法,首次测试了我国内蒙古放牧和非放牧羊草草原土壤N₂O产生的微生物过程;通过分析不同类型草原土壤N₂O产生的微生物过程和相关微生物菌群的季节变化,研究了放牧行为对于草原土壤N₂O微生物产生过程的影响.放牧行为改变了土壤结构,有利于土壤微生物反硝化作用的发生,在一定程度上降低了草原土壤N₂O的排放.揭示了内蒙古草原土壤N₂O产生是以异养硝化作用过程为主的微生物过程,解释了内蒙古典型草原土壤N₂O通量较低和其季节变化的微生物学机理.     

温度对农田N2O产生与排放的影响

以华东太湖地区的水稻－冬麦轮作农田为研究对象,采用基于箱法－气相色谱法的自动连续观测系统,对整个轮作周期的Ｎ２Ｏ排放和温度进行了同步自动连续观测,同时,在实验室开展了一系列的模拟实验,以研究Ｎ２Ｏ产生与排放过程的温度效应,实验研究结果表明,在土显度适宜的一定温度范围内,Ｎ２Ｏ排放对温度的依赖性可用指数函数Ｆ＝Ａｅ＾ａｔ来描述,轮作周期内显著Ｎ２Ｏ排放发生的频率随温度的变化呈正态分布,６７％的排放量     

川渝地区农业生态系统氧化亚氮排放

基于县级农业活动水平数据及区域氮循环模型IAP-N方法,并根据地理特征、环境气候条件及地区行政区划将川渝地区划分成4个亚区,详细估算了1990~2004年川渝地区农业生态系统氧化亚氮(N2O)的排放及其时空分布状况.结果表明,川渝地区1990~1994、1995~1999、2000~2004年农业生态系统N2O年平均排放量(以纯氮量计)分别为52.3、58.2、62.0 Gg/a,其中55%来自农田直接排放.3个时期农田直接排放量分别为29.6(7.6~63.3)、33.0(8.4~71.8)、34.0(8.5~75.8)Gg/a,农田直接排放通量分别为4.73、5.39、6.11 kg/(hm2.a).农田旱作是农田N2O直接排放的主要源,水旱轮作对农田N2O直接排放的贡献也很大.川渝地区农业生态系统N2O排放量以及农田N2O排放通量,1995~1999年期间比1990~1994年期间增长幅度较大;2000~2004年期间,农田N2O排放通量增长速度未呈现减缓趋势,但由于耕地面积减少,农田N2O排放量增长呈现停滞状态.川渝地区农业生态系统N2O主要排放地区分布在成都平原和重庆地区,各区域的N2O排放源贡献各...     

中国农田肥料N2O直接和间接排放重新评估

农田肥料(氮肥、复合肥、有机肥)是我国N₂O最大的排放源,其估计直接决定了排放总量的可靠性.为此,重新评估了中国农田肥料N₂O的直接和间接排放,选择2008年县域尺度活动数据、具有空间分异性的本土排放因子和参数来重新评估其排放规模、结构、空间格局及不确定性;通过与IPCC、EDGAR等国内外研究结果的对比分析,阐述该排放清单的可靠性和全面性.结果表明,2008年我国农田肥料N₂O排放总量为617.1 Gg(处于213.7~1149.2 Gg之间),其中,氮肥直接排放为458.8 Gg(74.5%),有机肥直接排放为121.0 Gg(19.6%),挥发沉降和淋溶径流造成的间接排放分别为28.0 Gg(4.5%)和9.3 Gg(仅占1.5%左右).排放集中在华北平原、东北的松辽平原、华中的淮河流域和四川盆地,以及华南的珠三角、雷州半岛和台湾地区的县(区、市、旗),主要分布在江苏(52.4 Gg)、四川(48.0 Gg)、湖北(43.2 Gg)、广东(40.8 Gg)、河南(39.6 Gg)、安徽(38.4 Gg)、湖南(31.6 Gg)、山东(28.9 Gg),其累积规模为全国总量的52%,其中,近50%的贡献源于164个县(区、市、旗).本排放清单具有更高的准确度和空间分辨率,而基于IPCC (2006)排放因子及参数的估计排放总量高估了约8.3%,对直接排放和间接排放则分别低估了12.5%和高估了330%.此外,在空间格局上还表现出高值区低估和低值区高估的特点,在491和1225个县(区、市、旗)的相对偏差超过了100%和50%,特别指出的是,间接排放在大部分县(区、市、旗)的相对偏差达到135%左右.     

添加几种秸秆并淹水对海南土壤N2O和CH4排放的影响

利用室内培养试验研究了淹水条件下,不同种类的秸秆对退化菜地土壤修复过程中土壤N_2O和CH_4排放及其综合温室效应的影响.试验设大豆秸秆、花生秸秆、甘蔗渣、水稻秸秆和空白5个处理,试验培养条件为土壤淹水和30℃.结果表明,添加大豆秸秆、花生秸秆和水稻秸秆均能显著提高土壤的pH、有机质和速效钾含量,且能快速降低土壤氧化还原电位Eh.添加大豆秸秆、花生秸秆、甘蔗渣均能显著降低土壤N_2O的排放,其中,大豆秸秆的减排效果最佳.但添加大豆秸秆、花生秸秆、水稻秸秆会促进CH_4大量排放,从而导致综合温室效应增加.花生秸秆处理增加的综合温室效应最大,其次是水稻秸秆处理.甘蔗渣处理的综合温室效应显著低于空白,但甘蔗渣处理对土壤改良效果不佳,其不能快速创造强还原条件,未能提高pH与速效钾等.比较4种材料,添加大豆秸秆增加的综合温室效应较小,且改良土壤效果较佳,更适合作为强还原灭菌法的理想材料.