水氮组合模式对双季稻甲烷和氧化亚氮排放的影响

为给双季稻水肥高效利用调控技术提供理论基础,设置间歇灌溉和淹水灌溉两种灌溉方式,高氮、中氮、低氮和不施氮这4种施肥方式,开展大田小区试验,探讨了水氮组合模式对双季稻CH4和N2O排放的影响.结果表明,间歇灌溉显著降低了CH4积累排放量,与淹水灌溉相比,早晚稻分别降低13.18~87.90 kg·hm-2和74.48~131.07 kg·hm-2,分别减排了24.4%~67.4%和42.5%~66.5%;但促进了N2O排放,早晚稻的增排量分别为0.03~0.24 kg·hm-2和0.35~1.53 kg·hm-2,分别比淹水灌溉增加6.2%~18.3%和40.2%~80.9%.总体上,间歇灌溉降低了稻田温室气体的增温潜势,其中早稻降低了18.8%~58.6%,晚稻降低34.4%~60.1%,两季综合降低2 388~4 151 kg·hm-2(以CO2eq计),下降41%~54%.通过相关分析发现,土壤CH4排放和土壤溶液Eh显著负相关,和溶液CH4浓度显著正相关.与淹水灌溉相比间歇灌溉模式有利于减排CH4,虽增排了N2O,但增温潜势显著减少.综合来看,间歇灌溉配施中氮更有利于双季稻种植.     

节水灌溉和控释肥施用耦合措施对单季稻田CH4和N2O排放的影响

以我国华东地区典型单季稻水稻田(江苏宜兴)的原柱状土为研究对象,通过两年土柱观测试验,研究不同灌溉管理模式(长期淹水CF、间隙灌溉Ⅱ、控制灌溉CI)和氮肥施用(不施氮CK、尿素Urea和控释肥CRF)耦合措施对水稻生长期内CH4和N2O排放和产量的影响,以期优选典型单季稻田减排增效的水肥管理模式.结果表明,两种节水灌溉方式(CI和Ⅱ)均显著影响稻田土壤CH4和N2O排放量及二者的综合温室效应(GWP)和排放强度(GHGI),与CF相比,Ⅱ和CI均显著提高了 N2O排放量(P＜0.05),降低了 CH4排放量(P＜0.05),进而二者的GWP和GHGI分别显著降低28.9％～71.4％和14.3％～70.4％(P＜0.05);两种节水灌溉模式相比,CI较Ⅱ模式呈现较好的CH4减排优势,排放总量降低了 57.7％～91.8％,而二者的N2O排放量无显著性差异(P＞0.05),最终CI对GWP和GHGI的减排效应略优于Ⅱ模式2.0％～56.2％.施用氮肥(Urea和CRF)均显著促进N2O排放18.4％～2547.8％(P＜0.05),其中CRF处理N2O排放量均略高于Urea处理32.7％～78.6％,但无显著性差异(P＞0.05);CH4排放总量对施氮处理的响应随水分管理模式的不同而不同,总体而言,施用CRF较Urea对稻田土壤GWP和GHGI均无显著影响(P＞0.05).相关分析表明,2018年CF模式的Urea处理和Ⅱ模式的Urea、CRF处理中N2O排放通量与田面水NH4+-N浓度分别呈现显著(P＜0.05)和极显著的正相关关系(P＜0.01),而二者在2019年CI模式的CK和CRF处理中呈现相反规律;2018年CI模式下CK、CRF处理的N2O排放通量与田面水NO3--N浓度呈极显著的正相关关系(P＜0.01).节水灌溉和氮肥施用对水稻产量均呈显著影响(P＜0.05),与CF相比,两种节水灌溉模式(Ⅱ、CI)水稻产量均下降了 14.7％～37.7％;CRF处理较Urea处理略提高水稻产量2.5％～7.4％(P＜0.05).综合考虑稻田土壤GWP、GHGI和水稻产量,节水模式与控释肥施用对稻田土壤减排增产的耦合效应仍有待进一步研究.     

Greenhouse gas mitigation with scarce land: The potential contribution of increased nitrogen input

Agricultural lands have been identified to mitigate greenhouse gas (GHG) emissions primarily by production of energy crops and substituting fossil energy resources and through carbon sequestration in soils. Increased fertilizer input resulting in increased yields may reduce the area needed for crop production. The surplus area could be used for energy production without affecting the land use necessary for food and feed production. We built a model to investigate the effect of changing nitrogen (N) fertilizer rates on cropping area required for a given amount of crops. We found that an increase in nitrogen fertilizer supply is only justified if GHG mitigation with additional land is higher than 9–15 t carbon dioxide equivalents per hectare (CO₂-eq._./ha). The mitigation potential of bioenergy production from energy crops is most often not in this range. Hence, from a GHG abatement point of view land should rather be used to produce crops at moderate fertilizer rate than to produce energy crops. This may change if farmers are forced to reduce their N input due to taxes or governmental regulations as it is the case in Denmark. However, with a fertilizer rate 10 % below the economical optimum a reduction of N input is still more effective than the production of bioenergy unless mitigation effect of the bioenergy production exceeds 7 t carbon dioxide (CO₂)-eq._./ha. An intensification of land use in terms of N supply to provide more land for bioenergy production can only in exceptional cases be justified to mitigate GHG emissions with bioenergy under current frame conditions in Germany and Denmark.     

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.     

不同水分管理方式下水稻生长季N2O排放量估算:模型建立

我国水稻生产中往往采用多种水分管理方式,如持续淹水、淹水-烤田-淹水和淹水-烤田-淹水-湿润灌溉等. 水分管理方式的不同会引起水稻生长季N₂O排放的显著变化. 本研究收集和整理了2005年以前17篇国内外文献报道的有关我国稻田N₂O季节排放通量的71组田间原位测定资料,每组资料包括稻田氮肥施用的种类和施用量、水分管理方式、N₂O季节排放量等数据,旨在建立不同水分管理方式下水稻生长季N₂O直接排放量的估算模型. 分析结果表明,持续淹水稻田N₂O季节排放量与施氮量无明显相关关系,在淹水-烤田-淹水和淹水-烤田-淹水-湿润灌溉的水分管理方式下,两者呈极显著线性正相关关系. 持续淹水稻田N₂O季节排放总量相当于施氮量的0.02%. 基于普通最小二乘法（OLS）分析技术建立的线性回归模型估算结果表明,淹水-烤田-淹水的水分管理方式下稻田肥料氮的N₂O排放系数为0.42%,但N₂O季节背景排放量不显著. 在淹水-烤田-淹水-湿润灌溉的水分管理方式下,水稻生长季肥料N的N₂O排放系数和N₂O-N背景排放量分别为0.73%和0.79 kg·hm^-2. 残差分析和效能分析显示模型具有较好的适切性. 综合3种水分管理方式,我国稻田水稻生长季N的N₂O排放系数和N₂O-N背景排放量平均分别为0.54%和0.43 kg·hm^-2. 相对于旱作农田而言,水稻生长季肥料N的N₂O排放系数较低,意味着水稻生产较旱地作物可能更有利于减缓我国农业N₂O排放. 本研究建立的模型可以用于我国稻田水稻生长季N₂O直接排放量的估算.     

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.     

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.     

湖南地区不同集约化栽培模式下双季稻稻田CH4和N2O的排放规律

采用静态暗箱-气相色谱法研究了湖南双季稻稻田不施氮(NN)、当地常规(FP)、高产高效(YE)、再高产(HY)、再高效(HE)5种不同栽培模式下温室气体(CH4、N2O)的排放规律.结果表明:水稻生长季CH4累积排放量变化为(206.5±37.5) kg· hm-2(FP,早稻)～(490.5±65.7) kg·hm-2(HE,晚稻),N2O-N累积排放量变化为(0.08±0.05) kg·hm-2(NN,早稻)～(0.326±0.15) kg·hm-2(HY,晚稻).不同栽培模式对CH4和N2O的排放都有显著影响(p＜0.05).HE模式CH4排放显著高于其他模式62％～ 87％(p＜0.05),尤其是晚稻季节;除NN模式外,其他4种模式间N2O排放差异不显著.冬季休闲期也是CH4和N2O排放的重要时期,分别占全年排放量的9.7％～19.7％和42％～ 62％.CH4主导了稻田不同栽培模式下的综合温室效应,在各模式中均占95％以上.施氮肥提高了作物产量,降低了温室气体强度(GHGI).在5种模式中,YE和HY模式温室气体强度较小,HY模式下仅为(0.97±0.16) kg·kg-1(以每kg产量排放的CO2当量计).因此,与FP模式相比,YE和HY模式既能提高产量和氮肥利用率,也能减缓温室效应;但HE模式排放的温室气体较高,在实际应用前尚需进一步研究.     

氮肥管理措施对黑土玉米田温室气体排放的影响

采用静态箱-气相色谱法研究了不同氮肥管理措施(农民常规施肥、减氮20%、添加硝化抑制剂、施用控释肥)对黑土玉米田温室气体排放的影响.结果表明:黑土玉米田施肥(基肥和追肥)后1~3d出现N2O排放峰,施肥后16d内N2O排放量占生育期总排放量的28.8%~41.9%.减施氮肥20%显著降低土壤N2O排放,生育期内的N2O累积排放量减少了17.6%~46.1%,综合温室效应降低30.7%~67.8%,温室气体排放强度降低29.1%~67.0%.等氮量投入时,添加吡啶抑制剂土壤N2O排放量、综合温室效应和温室气体排放强度最低.玉米拔节~乳熟期出现了较强的土壤CO2排放,黑土玉米田是大气中CH4的一个较弱的“汇”,施氮和添加硝化抑制剂对黑土玉米田CO2排放和CH4吸收没有显著影响.添加硝化抑制剂和施用控释肥不影响玉米产量.在本试验条件下,减氮20%并添加吡啶抑制剂在保证玉米产量的同时, 减排增收效果优于其他施肥措施,适宜在黑土区玉米种植中推广使用.     

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.     

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.     

Review of greenhouse gas emissions from crop production systems and fertilizer management effects

Fertilizer nitrogen (N) use is expanding globally to satisfy food, fiber, and fuel demands of a growing world population. Fertilizer consumers are being asked to improve N use efficiency through better management in their fields, to protect water resources and to minimize greenhouse gas (GHG) emissions, while sustaining soil resources and providing a healthy economy. A review of the available science on the effects of N source, rate, timing, and placement, in combination with other cropping and tillage practices, on GHG emissions was conducted. Implementation of intensive crop management practices, using principles of ecological intensification to enhance efficient and effective nutrient uptake while achieving high yields, was identified as a principal way to achieve reductions in GHG emissions while meeting production demands. Many studies identified through the review involved measurements of GHG emissions over several weeks to a few months, which greatly limit the ability to accurately determine system-level management effects on net global warming potential. The current science indicates: (1) appropriate fertilizer N use helps increase biomass production necessary to help restore and maintain soil organic carbon (SOC) levels; (2) best management practices (BMPs) for fertilizer N play a large role in minimizing residual soil nitrate, which helps lower the risk of increased nitrous oxide (N₂O) emissions; (3) tillage practices that reduce soil disturbance and maintain crop residue on the soil surface can increase SOC levels, but usually only if crop productivity is maintained or increased; (4) differences among fertilizer N sources in N₂O emissions depend on site- and weather-specific conditions; and (5) intensive crop management systems do not necessarily increase GHG emissions per unit of crop or food production; they can help spare natural areas from conversion to cropland and allow conversion of selected lands to forests for GHG mitigation, while supplying the world's need for food, fiber, and biofuel. Transfer of the information to fertilizer dealers, crop advisers, farmers, and agricultural and environmental authorities should lead to increased implementation of fertilizer BMPs, and help to reduce confusion over the role of fertilizer N on cropping system emissions of GHGs. Gaps in scientific understanding were identified and will require the collaborative attention of agronomists, soil scientists, ecologists, and environmental authorities in serving the immediate and long-term interests of the human population.     

氮肥水平对不同土壤CH4排放的影响

鉴于氮肥施用对农田CH₄排放的影响还有很大不确定性,室外盆栽试验于2002年在南京农业大学实施.选取3个供试土壤,各土壤设置对照和低、中、高3个不同氮肥水平,施入尿素量分别为0 g/盆钵(对照) ,0.64g/盆钵,(低氮水平) ,1.28g/盆钵(中氮水平) ,1.93g/盆钵(高氮水平) .结果表明在水稻生长季,不同氮肥(尿素)施用量对稻田土壤CH₄排放影响表现为不同土壤之间,及不同氮肥水平之间CH₄排放均存在显著差异.无氮肥施入的情况下,3种土壤的CH₄季节性累积排放量存在显著差异,分别为6.7g/m²,12.6g/m² 和8.3g/m².施加氮肥后,3种土壤的CH4排放量随氮肥施入量的增加,均表现为降低趋势,不同土壤CH₄排放量存在差异,土壤背景氮含量最高的F(江苏溧水)土壤的CH4排放都比相应氮肥水平下的G(江苏涟水)和H(江苏农科院)土壤的CH₄排放低1倍左右.更进一步发现从低氮到中氮水平,3种土壤CH₄排放量随氮肥用量的增加降低幅度最大,而此时各土壤的NH₄-N含量随氮肥用量增加明显提高,推断造成CH₄排放降低的主要可能原因是各土壤的氨态氮含量的增加所致.从中氮到高氮水平3种土壤的CH₄排放量的变化不尽相同,G和H土壤的CH₄排放量随氮肥用量的增加而降低,而F土壤在中氮和高氮水平下的CH4排放量没有明显变化,值分别为30g/m².     

基于投入产出法的北京能源消耗温室气体排放清单分析

城市是一个巨大能源物资消耗体和温室气体排放体,相关研究受到广泛关注.本文以2007年为例基于投入产出法研究北京市能源消耗的温室气体排放量,计算得出CH4和N2O这两种常规温室气体排放量.结果表明,北京市2007年能源消耗温室气体排放量为3531.72万tCO2当量,其中CO2排放量为3514.40万t,CH4排放量为1734.32t,N2O排放量为435.83t.北京市工业部门仍然是主要的温室气体排放部门,其排放的温室气体占CO2总量的98.96%,CH4总量的88.48%和N2O总量的98.99%.不同最终使用部门中,政府部门消费产生的温室气体排放量超过总量的15%,高于城镇消费和农村消费之和;调出和出口部门的碳排放量超过总量的40%,所占比例最大.贸易中,隐含在调出和出口部门中温室气体排放量是隐含在调入和进口部门的十几倍.北京市不同行业的温室气体排放强度略优于全国水平.降低北京市温室气体排放量可从进一步优化产业结构,发挥科技减排的作用,提高不同产业的能源利用率等方面采取措施.     

双季稻品种根际特征与甲烷排放差异及其关系

为探讨不同水稻品种间甲烷排放差异形成的机制,选取早晚稻各6个品种为供试材料进行大田试验,采用静态暗箱-气相色谱法测定CH4气体.结果表明,早晚稻甲烷排放通量品种间差异显著,全生育甲烷排放通量均值湘早籼24号最高,株两优819最低,相差34. 6%;晚稻种,T优15最高,资优299最低,相差33. 9%.不同双季稻品种间甲烷排放量、单位产量温室效应差异显著.早稻品种的CH4累计排放量介于198. 3～303. 44 kg·hm-2之间,排放量最低是株两优819;单位产量温室效应介于0. 67～1. 40 kg·kg~(-1)之间,陆两优996最低.晚稻品种的CH4累计排放量明显高于早稻,介于291. 93～388. 28kg·hm-2之间,资优299最低;单位产量温室效应介于0. 94～1. 68 kg·kg~(-1)之间,Y两优1号最低.稻田甲烷排放与水稻产量、根冠比、根系孔隙度、土壤溶液Eh值、甲烷浓度、可溶性碳浓度及铵态氮浓度的相关性均达到显著或极显著水平.双季稻品种甲烷排放与水稻根冠比及根孔隙度关系密切,降低早稻品种根系孔隙度或者根冠比可减排甲烷,而晚稻品种则与早稻相反;根际土壤溶液碳氮浓度的降低和Eh值的提高也可减少甲烷的排放.     

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.     

Methane emissions from rice fields under continuous straw return in the middle-lower reaches of the Yangtze River

A three-year experiment was conducted in the middle-lower reaches of the Yangtze River in China to study the influence of continuous wheat straw return during the rice season and continuous rice straw return in wheat on methane (CH 4 ) emissions from rice fields in which, the rice-wheat rotation system is the most dominant planting pattern. The field experiment was initiated in October 2009 and has continued since the wheat-growing season of that year. The analyses for the present study were conducted in the second (2011) and third (2012) rice growing seasons. Four treatments, namely, the continuous return of wheat straw and rice straw in every season (WR), of rice straw but no wheat straw return (R), of wheat straw but no rice straw return (W) and a control with no straw return (CK), were laid out in a randomized split-plot design. The total seasonal CH 4 emissions ranged from 107.4 to 491.7 kg/ha (2011) and 160.3 to 909.6 kg/ha (2012). The increase in CH 4 emissions for treatments WR and W were 289% and 230% in the second year and 185% and 225% in the third year, respectively, in relation to CK. We observed less methane emissions in the treatment R than in CK by 14%-43%, but not statistically significant. Treatment R could increase rice productivity while no more CH 4 emission occurs. The difference in the total CH 4 emissions mainly related to a difference in the methane flux rate during the first 30-35 days after transplant in the rice growing season, which was caused by the amount of dissolved oxygen in paddy water and the amount of reducible soil materials.     

菜地氨氧化微生物驱动的N2O和NO对有机无机肥配施的响应

氨氧化细菌（AOB）和氨氧化古菌（AOA）是驱动土壤氨氧化过程的"引擎".氨氧化过程在土壤氧化亚氮（N₂O）和一氧化氮（NO）排放过程中扮演着重要角色.有机无机肥配施是实现化肥零增长和作物稳产增产的重要途径，但在有机无机肥配施下，菜地土壤AOB和AOA对氨氧化过程的相对贡献仍不清楚.本研究采用选择性抑制的方法（辛炔和乙炔）区分有机肥添加近3年后（2016年10月—2019年5月）AOB和AOA在氨氧化过程中对碱性菜地土壤N₂O和NO产生的相对贡献.试验共设5种施肥处理：不施氮肥（CK）、单施尿素（N）、单施有机肥（M）、50%尿素+50%有机肥（M1N1）和80%尿素+20%有机肥（M1N4）.结果表明，有机无机肥配施（M1N1和M1N4）可显著增加土壤电导率、有机碳和全氮含量.培养试验发现，与N处理相比，M和M1N1处理分别使N₂O排放量增加100.7%和38.8%，NO排放量增加77.9%和42.8%，AOB基因丰度增加16.6%和10.2%，同时，AOB对N₂O排放的相对贡献增加6.5%.相反，M1N4处理分别使N₂O和NO排放量降低19.3%和4.8%，AOB基因丰度降低37.5%，同时，AOB对N₂O及NO排放的相对贡献分别降低7.8%和7.4%.相关分析表明，土壤N₂O和NO累积排放量与土壤AOB基因丰度呈显著正相关（p<0.05），与土壤AOA基因丰度无显著相关性.有机无机肥配施下AOB是氨氧化过程的主要驱动者，适当比例的有机无机肥配施（即M1N4）措施可在一定程度上减弱AOB对碱性菜地土壤N₂O及NO排放的相对贡献.     

Modelling greenhouse gas emissions from European conventional and organic dairy farms

Agriculture is an important contributor to global emissions of greenhouse gases (GHG), in particular for methane (CH₄) and nitrous oxide (N₂O). Emissions from farms with a stock of ruminant animals are particularly high due to CH₄ emissions from enteric fermentation and manure handling, and due to the intensive nitrogen (N) cycle on such farms leading to direct and indirect N₂O emissions. The whole-farm model, FarmGHG, was designed to quantify the flows of carbon (C) and nitrogen (N) on dairy farms. The aim of the model was to allow quantification of effects of management practices and mitigation options on GHG emissions. The model provides assessments of emissions from both the production unit and the pre-chains. However, the model does not quantify changes in soil C storage.Model dairy farms were defined within five European agro-ecological zones for both organic and conventional systems. The model farms were all defined to have the same utilised agricultural area (50 ha). Cows on conventional and organic model farms were defined to achieve the same milk yield, so the basic difference between conventional and organic farms was expressed in the livestock density. The organic farms were defined to be 100% self-sufficient with respect to feed. The conventional farms, on the other hand, import concentrates as supplementary feed and their livestock density was defined to be 75% higher than the organic farm density. Regional differences between farms were expressed in the milk yield, the crop rotations, and the cow housing system and manure management method most common to each region.The model results showed that the emissions at farm level could be related to either the farm N surplus or the farm N efficiency. The farm N surplus appeared to be a good proxy for GHG emissions per unit of land area. The GHG emissions increased from 3.0 Mg CO₂-eq ha⁻¹ year⁻¹ at a N surplus of 56 kg N ha⁻¹ year⁻¹ to 15.9 Mg CO₂-eq ha⁻¹ year⁻¹ at a N surplus of 319 kg N ha⁻¹ year⁻¹. The farm N surplus can relatively easily be determined on practical farms from the farm records of imports and exports and the composition of the crop rotation. The GHG emissions per product unit (milk or metabolic energy) were quite closely related to the farm N efficiency, and a doubling of the N efficiency from 12.5 to 25% reduced the emissions per product unit by ca. 50%. The farm N efficiency may therefore be used as a proxy for comparing the efficiencies of farms with respect to supplying products with a low GHG emission.     

城市废弃物处理温室气体排放研究:以厦门市为例

城市废弃物处理是城市人为活动产生温室气体的来源之一.参考IPCC国家温室气体清单指南2006推荐的方法建立了厦门市废弃物处理的温室气体排放计算模型,对厦门市2005～2010年废弃物处理的温室气体排放情况进行了估算,包括固体废弃物填埋、焚烧以及污水处理等过程.结果表明,2005年温室气体总排放量折合二氧化碳当量(CO2e)为406.3 kt,2010年温室气体总排放量(以CO2e计)达到704.6 kt,随着废水处理工艺的提高和城市生活垃圾量的迅速增长,主要排放源由废水处理转变为固体废弃物填埋.2005年填埋产生的温室气体排放占固体废弃物处理排放量的90%左右,2010年所占比例下降到75%.厦门市废水处理温室气体排放量2007年最高,以CO2e计达到325.5 kt,化学原料及化学品制造业从2005～2010年一直是厦门市CH4排放量最高的产业,占工业废水处理CH4排放总量的55%以上.