中国农田N2O排放的分析估算与减缓对策

介绍了2种不同方法分析估算的中国农田N2O的排放结果，并讨论了减缓农田N2O排放的对策。用田间测量数据和IPCC第二阶段方法学估算的中国农田1995年N2O的直接排放量（以N计）分别为398和336Gg。应用IPCC第二阶段方法学分别计算了1949年等10个年份进入中国农田的不同氮源的数量变化，表明化学氮肥施用量的增加是中国农田N2O排放量逐年上升的主要因素。田间观测结果表明，水田是N2O不可忽视的源。中国水田N2O排放量约占中国农田总排放量的22％，水稻生长季水田N2O排放量约占农田总排放量的9％。根据中国农作制，施肥和农田水分管理方面的特点，调整N：P：K肥料的比率，缩小全国氮肥施用量的地区性差异及应用硝化抑制剂和包膜缓释氮肥，将有助于减少农田N2O的排放量。     

植物对沼泽湿地生态系统N2O排放的影响

利用静态暗箱/气相色谱法连续3个生长季(2003-2005年)对三江平原小叶章草甸和毛果苔草沼泽N2O排放通量进行野外对比观测试验.结果表明,植物不同生长阶段对湿地生态系统N2O排放通量的影响不尽相同.植物的参与促进了湿地生态系统N2O的排放,2003-2005年生长季小叶章草甸土壤-植物系统N2O排放通量分别是土壤表观N2O排放通量的1.58倍、2.09倍和2.34倍,同期毛果苔草沼泽土壤-植物系统N2O排放通量分别是土壤表观N2O排放通量的1.86倍、1.50倍和1.33倍.3个生长季小叶章草甸N2O排放通量均大于毛果苔草沼泽,这主要是由土壤理化性质的空间变异性以及水文情况的差异造成的.     

中国农田N2O排放的分析估算与减缓对策

介绍了 2种不同方法分析估算的中国农田 N2 O的排放结果 ,并讨论了减缓农田 N2 O排放的对策。用田间测量数据和 IPCC第二阶段方法学估算的中国农田 1995年 N2 O的直接排放量 (以 N计 )分别为 398和 336Gg。应用 IPCC第二阶段方法学分别计算了 194 9年等 10个年份进入中国农田的不同氮源的数量变化 ,表明化学氮肥施用量的增加是中国农田 N2 O排放量逐年上升的主要因素。田间观测结果表明 ,水田是 N2 O不可忽视的源。中国水田 N2 O排放量约占中国农田总排放量的 2 2 % ,水稻生长季水田 N2 O排放量约占农田总排放量的 9%。根据中国农作制 ,施肥和农田水分管理方面的特点 ,调整 N∶P∶ K肥料的比率 ,缩小全国氮肥施用量的地区性差异及应用硝化抑制剂和包膜缓释氮肥 ,将有助于减少农田 N2 O的排放量。     

温室气体排放与中国粮食生产

中国用占世界8％的土地养活了世界上1／5的人口，粮食生产已经基本满足了现有人口的需求。但是，生产粮食会向大气释放大最的温室气体。面对全球减少温室气体排放的压力，在粮食生产中，增加农田生态系统的碳固定能力及减少N2O和CH4的排放，直接关系着中国粮食生产的未来发展。文章分析全球和中国温室气体排放清单中粮食生产的作用和意义；利用生物地球化学模型DNDC和中国农业生产数据库，估算中国农田生态系统的土壤碳动态和N2O排放；通过情景分析(Scenario)，预测在不同方案下，中国农田生态系统碳动态和N2O的排放量；提出了我国未来粮食生产应该采取的对策和技术措施。     

崇明岛稻麦轮作生态系统主要温室气体排放特征及影响因素分析

采用静态箱——气相色谱法对崇明岛稻麦轮作生态系统主要温室气体CO2、CH4和N2O排放进行了田间原位观测,并分析了影响温室气体排放的主要因素.结果表明,崇明岛稻麦轮作生态系统中,CH4和N2O的显著排放仅出现在水稻生长季,且透明箱与暗箱测得通量季节变化趋势具有高度一致性;水稻田是CH4和N2O的排放源,是CO2的吸收汇;冬小麦生长季农田表现为CH4的吸收汇,是CO2和N2O的排放源.整个稻麦轮作周期内,CH4、N2O以及暗箱CO2(即呼吸排放CO2)通量与各温度因子呈现出显著或极显著正相关性;CH4通量与土壤含水率、土壤C/N比值均存在极显著正相关性.另外,稻田CH4通量与土壤有机质(SOM)含量之间存在极显著正相关性,与土壤NH+4-N含量呈显著正相关关系;而稻田N2O通量与NO-3-N含量存在极显著正相关关系.     

施肥与不施肥措施下小麦田的CO_2、CH_4、N_2O排放日变化特征

二氧化碳(CO2)、甲烷(CH4)、氧化亚氮(N2O)是对全球气候变化影响最大的温室气体。由于土壤与大气之间的水热交换需要一定的传导平衡时间,因此土壤温室气体与温湿度之间的关系存在不同的表现形式。目前,有关温室气体研究多集中于季节性排放特征,而关于CO2、CH4、N2O的日变化研究却少见报道。以北京小麦(Triticum aestivuml)农田土壤为研究对象,对施肥和不施肥条件下CO2、CH4、N2O交换通量和气温、土壤温度进行连续观测,来探讨3种温室气体的日变化特征。采用人工静态暗箱法对小麦田土壤进行连续48 h原位观测,每2 h测定1次,每次盖箱时间为30 min。气体样品中的CO2、CH4、N2O用气相色谱仪(Agilent 6890A,FID/ECD)测定。结果表明:施肥与不施肥条件下小麦生育后期麦田土壤CO2、CH4、N2O交换通量具有明显的日变化特征。土壤表现为CH4的吸收汇、CO2和N2O的排放源。CH4的吸收通量、CO2和N2O的排放通量均表现为施肥区对照区。CO2、CH4的交换通量的70%以上出现在白天,而施肥区和对照区的N2O白天排放通量分别达到全天的81.8%、91.1%。另外,相关性分析表明,CO2、N2O交换通量的日变化与气温和5 cm地温呈极显著(P0.01)或显著(P0.05)的正相关关系,且N2O交换通量日变化与10 cm地温呈现极显著的正相关关系,说明温度是影响CO2、N2O交换通量日变化的重要因素;而气温、5 cm地温、10 cm地温对CH4交换通量日变化不存在显著性影响。     

中国农田主要温室气体排放特征与控制技术

全球气候变化已成为不争的事实,已经引起了各国科学家和政府的高度重视。人类活动向大气中排放的二氧化碳（CO2）、甲烷（CH4）和氧化亚氮（N2O）等温室气体浓度的增加是导致气候变化的重要原因之一。农田土壤是这三种温室气体的重要来源。文章概述了农田土壤CO2、CH4和N2O三种主要温室气体的排放机制,系统总结了国内对这三种温室气体排放通量的观测研究,提出了相应的减排技术对策,并对目前的研究问题和未来的发展方向作了深入的探讨,以期为控制农田土壤温室气体排放、发展低碳农业提供参考依据。     

施肥与不施肥措施下小麦田的CO2、CH4、N2O排放日变化特征

二氧化碳（CO2）、甲烷（CH4）、氧化亚氮（N2O）是对全球气候变化影响最大的温室气体。由于土壤与大气之间的水热交换需要一定的传导平衡时间,因此土壤温室气体与温湿度之间的关系存在不同的表现形式。目前,有关温室气体研究多集中于季节性排放特征,而关于CO2、CH4、N2O的日变化研究却少见报道。以北京小麦（Triticum aestivuml）农田土壤为研究对象,对施肥和不施肥条件下CO2、CH4、N2O交换通量和气温、土壤温度进行连续观测,来探讨3种温室气体的日变化特征。采用人工静态暗箱法对小麦田土壤进行连续48 h原位观测,每2 h测定1次,每次盖箱时间为30 min。气体样品中的CO2、CH4、N2O用气相色谱仪（Agilent 6890A,FID/ECD）测定。结果表明：施肥与不施肥条件下小麦生育后期麦田土壤CO2、CH4、N2O交换通量具有明显的日变化特征。土壤表现为CH4的吸收汇、CO2和N2O的排放源。CH4的吸收通量、CO2和N2O的排放通量均表现为施肥区＞对照区。CO2、CH4的交换通量的70%以上出现在白天,而施肥区和对照区的N2O白天排放通量分别达到全天的81.8%、91.1%。另外,相关性分析表明,CO2、N2O交换通量的日变化与气温和5 cm地温呈极显著（P＜0.01）或显著（P＜0.05）的正相关关系,且N2O交换通量日变化与10 cm地温呈现极显著的正相关关系,说明温度是影响CO2、N2O交换通量日变化的重要因素;而气温、5 cm地温、10 cm地温对CH4交换通量日变化不存在显著性影响。     

种植蔬菜地与裸地氧化亚氮排放差异比较研究

采用大型原状土柱试验研究了种植蔬菜地与未种植蔬菜裸地土壤氧化亚氮（N2O）排放的差异。试验结果表明,施肥但未种植蔬菜的裸地土壤N2O排放量远大于种植蔬菜地的土壤N2O排放量,裸地土壤N2O平均排放通量为193μg.m-2.h-1,而种植蔬菜后土壤N2O平均排放通量减少至60μg.m-2.h-1;相应地,裸地的N2O排放总量也要远高于种植蔬菜地的N2O排放总量。同时,低施氮量（N1,500 kg.hm-2）下裸地的N2O排放量要比高施氮量（N2,750 kg.hm-2）且种植蔬菜时裸地的N2O排放量大,如2007年10月至2008年9月试验期间,N1处理下裸地总N2O-N排放量为9.54 kg.hm-2,而N2处理（种植蔬菜）下总N2O-N排放量仅为4.21 kg.hm-2。此外,未种植蔬菜时裸地土壤N2O排放系数远大于种植蔬菜时,如N1种植蔬菜时为0.39%,但未种植蔬菜的裸地土壤排放系数为1.76%。研究说明种植作物与否对土壤N2O排放有重要影响,因此在估算农田土壤N2O排放温室气体量时,需考虑裸地的贡献能力。     

耕作方式对太湖地区冬小麦生长季N_2O排放的影响

采用静态暗箱-气相色谱法对2009年11月至2010年6月冬小麦(Triticum aestivum L.)生长季N2O排放通量进行田间原位观测,研究不同耕作方式(免耕、少耕、传统耕作)对太湖地区稻麦轮作系统麦季土壤N2O排放的影响。结果表明:有植株参与下免耕、少耕和传统耕作的冬小麦生长季N2O平均排放通量分别为63.75μg·m-2·h-1、39.94μg·m-2.h-1和48.83μg·m-2·h-1,无植株参与下分别为73.48μg·m-2·h-1、52.97μg·m-2·h-1和63.60μg·m-2·h-1,麦季N2O排放通量的季节变化与5 cm、10 cm土壤温度呈显著或极显著线性正相关(r=0.400*～0.654**,n=28)。小麦种植对N2O的排放影响较大,无植株参与的N2O季节总排放量显著高于有植株参与的处理(P<0.05);耕作方式显著影响冬小麦农田N2O季节总排放量(P<0.05),有植株参与下麦季N2O总排放量少耕较免耕和传统耕作分别减少37.3%和17.9%,无植株参与下分别减少28.0%和16.7%。研究表明太湖地区冬小麦采用少耕措施可减少麦季N2O的排放。     

Characteristics of N2O emission from Medicago sativa stands and its response to nitrogen fertilizers in the Longdong dryland Plateau北大核心CSCD

Nitrous oxide (N2O) is one of the potent greenhouse gases (GHG) that depletes the stratospheric ozone. Nitrogen fertilizers are considered to be a major source of nitrous oxide (N2O) emissions from arable soils. To investigate the characteristics of N2O emission, its influencing factors, and its response to nitrogen application in dry grassland in the Loess Plateau, one of the most intensively used agricultural regions in China, we conducted a field trial with two treatments including N0 (0 kg hm-2) and N150 (150 kg hm-2) at the Qingyang Loess Plateau grassland agricultural research station of Lanzhou University. An LGR-N2O/CO gas analyzer was used to monitor the emissions. The results showed that the N2O fluxes of the N0 and N150 treatments during the monitoring period were -0.0036 and 0.0118 mg m-2 h-1, respectively; the flux in case of the N150 treatment was significantly higher than that for the N0 treatment. The N2O emission flux has a distinct diurnal variation characteristic, which first showed the trend of decreasing and then increasing. Regression analysis indicated a significant positive correlation between the N2O flux and the surface soil water content at a depth of 10 cm. The N2O emission flux increased by 131.3%, compared with that during the non-precipitation days. At the same time, the N2O emission flux showed a trend of decreasing with the increase of the surface soil temperature at a depth of 10 cm. The daily emission characteristics indicated that there may be a significant underestimation of the N2O flux at the daily or longer time-scale, based on the N2O flux value measured at 9:00-11:00. In summary, the N2O emissions from the sown alfalfa grassland of the eastern Gansu are strongly affected by precipitation and nitrogen application and have obvious daily dynamic characteristics. It is recommended that the accuracy and representativeness of N2O emission flux data be enhanced by continuous dynamic measurement using the instrument. © 2018 Science Press. All rights reserved.     

Long-term simulation of the effect of climate changes on the growth of main Central-European forest tree species

The simulation of forest production until 2100 under different environmental scenarios and current management practices was performed using a process-based model BIOME-BGC previously parameterized for the main Central-European tree species, and adapted to include forest management practices. Three climatic scenarios (HadCM3, NCAR-PCM, CSIRO) used were taken from the IPCC database created within the 3^rd Assessment Report. They were combined with a scenario of CO₂ concentration development and a scenario of N deposition. The control scenario considered no changes of climatic characteristics, CO₂ concentration and N deposition.     

白洋淀湖泊湿地氧化亚氮的排放通量初探

湿地是温室气体氧化亚氮(N2O)的源或汇, 研究湿地N2O排放通量的时空变化特性对探究N2O的排放活跃区及减小温室效应有着重要的意义.采用静态箱-气相色谱法对白洋淀湖泊湿地N2O排放通量的时空变化特性及其影响因素进行了初步研究,结果表明白洋淀湖泊湿地N2O的排放呈现明显的时空变化特性,夏季N2O的排放量最大,且湖滨带是其排放的活跃区;白洋淀湖泊湿地优势植被芦苇的生长状况影响N2O的产生与排放,其鲜质量增加量与N2O的排放通量呈负相关性;土壤含水率的变化与N2O的排放通量有着较好的相关性,土壤含水率升高,N2O的排放通量增加;白洋淀湖泊湿地水中亚硝态氮质量浓度与N2O的产生和排放关系密切,随着亚硝态氮质量浓度的增加N2O的排放通量呈对数增长.     

农业管理措施对N2O排放的影响

结合国内外文献资料 ,介绍了目前N2 O排放的研究现状 ,详细分析了种植方式、作物类型、肥料施用、水分管理、耕翻等农业管理措施对土壤N2 O排放的影响 ,并对今后的研究重点进行了讨论。     

29 % N2O emission reduction from a modelled low-greenhouse gas cropping system during 2009–2011

Atmospheric concentration of nitrous oxide (N₂O), a greenhouse gas (GHG), is rising largely due to agriculture. At the plot scale, N₂O emissions from crops are known to be controlled by local agricultural practices such as fertilisation, tillage and residue management. However, knowledge of greenhouse gas emissions at the scale of the cropping system is scarce, notably because N₂O monitoring is time consuming. Strategies to reduce impact of farming on climate should therefore be sought at the cropping system level. Agro-ecosystem models are simple alternative means to estimate N₂O emissions. Here, we combined ecosystem modelling and field measurements to assess the effect of agronomic management on N₂O emissions. The model was tested with series of daily to monthly N₂O emission data. It was then used to evaluate the N₂O abatement potential of a low-emission system designed to halve greenhouse gas emissions in comparison with a system with high productivity and environmental performance. We found a 29 % N₂O abatement potential for the low-emission system compared with the high-productivity system. Among N₂O abatement options, reduction in mineral fertiliser inputs was the most effective.     

免耕和秸秆覆盖对农田土壤温室气体排放的影响

农业土壤是重要的温室气体排放源,各种农业措施对温室气体排放产生重要的影响。免耕和秸秆覆盖作为两种重要的保护性耕作措施正在被越来越广泛的应用,但是其对土壤温室气体排放的影响还不明确,结果存在分歧。通过对免耕和秸秆覆盖措施下农田三种主要的温室气体（CO2、CH4和N2O）排放的相关研究进行对比分析,探讨两种保护性农业措施对温室气体排放的影响。研究表明,免耕减少土壤干扰,增加团聚体的稳定性,有利于难分解碳的形成,减少土壤CO2排放;与常规耕作相比,免耕有利于CH4氧化,增强甲烷氧化菌活性,降低CH4排放;免耕对N2O排放的影响与气候类型和土壤性质有密切的相关关系,在干燥的气候条件下,免耕增加通气条件差的土壤的N2O排放,对通气好的土壤影响不大。而在湿润的气候条件下,不同的土壤性质结论不一致。秸秆覆盖增加土壤CO2排放,并随着秸秆覆盖量的增加而增大;秸秆覆盖对CH4排放的影响有很大的不确定性,与覆盖方式和覆盖秸秆性质有密切联系;大部分研究认为秸秆覆盖增加N2O排放,但也有研究认为秸秆覆盖对N2O排放无影响或降低N2O排放量,秸秆覆盖对N2O排放机理复杂,需要进一步研究。通过综述发现随着保护性农业措施的推广,大量的研究集中在其对作物产量、土壤水分利用率、土壤性质等方面的研究;而保护性农业措施对温室气体排放的研究相对较少,特别是对三种温室气体的综合影响研究并不多见。因此,需结合不同土地类型,开展不同气候类型下免耕和秸秆覆盖对三种主要温室气体排放影响的综合研究,预测增温潜势,为不同气候带保护性农业措施下温室气体排放提供基础数据,并为制定合理的耕作和秸秆覆盖措施提供理论支持。运用同位素示踪等新技术明确秸秆覆盖对温室气体排放的直接和间接贡献率,结合不同研究区?     

Effect of nitrogen deposition on China's terrestrial carbon uptake in the context of multifactor environmental changes

The amount of atmospheric nitrogen (N) deposited on the land surface has increased globally and by nearly five times in China from 1901 to 2005. Little is known about how elevated reactive N input has affected the carbon (C) sequestration capability of China's terrestrial ecosystems, largely due to the lack of reliable data on N deposition. Here we have used a newly developed data set of historical N deposition at a spatial resolution of 10 km x 10 km in combination with other gridded historical information on climate, atmospheric composition, land use, and land management practices to drive a process-based ecosystem model, the dynamic land ecosystem model (DLEM) for examining how increasing N deposition and its interactions with other environmental changes have affected C fluxes and storage in China's terrestrial ecosystems during 1901-2005. Our model simulations indicate that increased N deposition has resulted in a net C sink of 62 Tg C/yr (1 Tg = 1012 g) in China's terrestrial ecosystems, totaling up to 6.51 Pg C (1 Pg = 10(15) g) in the past 105 years. During the study period, the N-induced C sequestration can compensate for more than 25% of fossil-fuel CO2 emission from China. The largest C sink was found in southeast China, a region that experienced the most significant increase of N deposition in the period 1901-2005. However, the net primary productivity induced by per-unit N deposition (referred to as ecosystem N use efficiency, ENUE, in this paper) has leveled off or declined since the 1980s. This indicates that part of the deposited N may not be invested to stimulate plant growth, but instead leave the ecosystem by various pathways. Except shrubland and northwest/southwest China, signs of N saturation are apparent in the rest major biome types and regions, with ENUE peaking in the 1980s and leveling off or declining thereafter. Therefore, to minimize the excessive N pollution while keeping the N-stimulated C uptake in China's terrestrial ecosystems, optimized management practices should be taken to increase N use efficiency rather than to keep raising N input level in the near future.