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.     

Sources of nitrous and nitric oxides in paddy soils：Nitrification and denitrification

Rice-paddies are regarded as one of the main agricultural sources of N 2O and NO emissions. To date, however, specific N2O and NO production pathways are poorly understood in paddy soils. ^15N-tracing experiments were carded out to investigate the processes responsible for N2O and NO production in two paddy soils with substantially different soil properties. Laboratory incubation experiments were carried out under aerobic conditions at moisture contents corresponding to 60% of water holding capacity. The relative importance of nitrification and denitrification to the flux of NaO was quantified by periodically measuring and comparing the enrichments of the N2O, NH~-N and NO3-N pools. The results showed that both N2O and NO emission rates in an alkaline paddy soil with clayey texture were substantially higher than those in a neutral paddy soil with silty loamy texture. In accordance with most published results, the ammonium N pool was the main source of N2O emission across the soil profiles of the two paddy soils, being responsible for 59.7% to 97.7% of total N2O emissions. The NO3-N pool of N2O emission was relatively less important under the given aerobic conditions. The rates of N2O emission from nitrification （N2On） among different soil layers were significantly different, which could be attributed to both the differences in gross N nitrification rates and to the ratios of nitrified N emitted as NzO among soil layers. Furthermore, NO fluxes were positively correlated with the changes in gross nitrification rates and the ratios of NO/N2O in the two paddy soils were always greater than one （from 1.26 to 6.47）. We therefore deduce that, similar to N2O, nitrification was also the dominant source of NO in the tested paddy soils at water contents below 60% water holding capacity.     

厌氧条件下砂壤水稻土N2、N2O、NO、CO2和CH4排放特征

了解厌氧条件土壤反硝化气体(N2、N2O和NO)、CO2和CH4排放特征,是认识反硝化过程机制的基础,并有助于制定合理的温室气体减排措施.定量反硝化产物组成,可为氮转化过程模型研发制定正确的关键过程参数选取方法或参数化方案.本研究选取质地相同(砂壤土)的两个水稻土为研究对象,通过添加KNO3和葡萄糖的混合溶液,将培养土壤的初始NO-3和DOC含量分别调节到50 mg·kg-1和300 mg·kg-1,采用氦环境培养-气体及碳氮底物直接同步测定方法,研究完全厌氧条件下土壤N2、N2O、NO、CO2和CH4的排放特征,并获得反硝化气态产物中各组分的比率.结果表明,在整个培养过程中,两个供试土壤的N2、N2O和NO累积排放量分别为6~8、20和15~18 mg·kg-1,这些气体排放量测定结果可回收土壤NO-3变化量的95%~98%,反硝化气态产物以N2O和NO为主,其中3种组分的比率分别为15%~19%(N2)、47%~49%(N2O)和34%~36%(NO);但反硝化气体产物组成的逐日动态均显现为从以NO为主逐渐过渡到以N2O为主,最后才发展到以N2为主.以上结果说明,反硝化气体产物组成是随反硝化进程而变化的,在以气体产物组成比率作为关键参数计算各种反硝化气体产生率或排放率的模型中,很有必要重视这一点.     

Modeling effects of temperature and precipitation on carbon characteristics and GHGs emissions in Abies fabric forest of subaipine

Abies fabric forest in the eastern slope of Gongga mountain is one type of subalpine dark coniferous forests of southwestern China. It is located on the southeastern edge of the Qinghai-Tibet plateau and is sensitive to climatic changes. A process-oriented biogeochemical model, Forest-DNDC, was applied to simulate the effects of climatic factors, temperature and precipitation changes on carbon characteristics, and greenhouse gases （GHGs） emissions in A. fabric forest. Validation indicated that the Forest-DNDC could be used to predict carbon characteristics and GHGs emissions with reasonable accuracy. The model simulated carbon fluxes, soil carbon dynamics, soil CO2, N2O, and NO emissions with the changes of temperature and precipitation conditions. The results showed that with variation in the baseline temperature from -2℃ to ＋2℃, the gross primary production （GPP） and soil organic carbon （SOC） increased, and the net primary production （NPP） and net ecosystem production （NEP） decreased because of higher respiration rate. With increasing baseline precipitation the GPP and NPP increased slightly, and the NEP and SOC showed decreasing trend. Soil CO2 emissions increased with the increase of temperature, and CO2 emissions changed little with increased baseline precipitation. With increased temperature and decreased baseline temperature, the total annual soil N2O emissions increased. With the variation of baseline temperature from -2℃ to ＋2℃, the total annual soil NO emissions increased. The total annual N2O and NO emissions showed increasing trends with the increase of precipitation. The biogeochemical simulation of the typical forest indicated that temperature changes strongly affected carbon fluxes, soil carbon dynamics, and soil GHGs emissions. The precipitation was not a principal factor affecting carbon fluxes, soil carbon dynamics, and soil CO2 emissions, but changes in precipitation could exert strong effect on soil N2O and NO emissions.     

生物质炭对华北平原4种典型土壤N2O排放的影响

生物质炭作为一种新型的土壤改良剂,在降低土壤温室气体排放方面发挥着重要作用.为明确生物质炭对冬小麦苗期土壤N_2O排放的影响,以华北平原的4种典型土壤(水稻土、砂姜黑土、褐土和潮土)为研究对象,进行田间试验,设置了4个处理:对照(CK)、单施化肥(NPK)、单施生物质炭(BC)和化肥与生物质炭配施(NPK+BC).结果表明,单施化肥显著增加了4种土壤N_2O排放,与对照相比,水稻土、砂姜黑土、褐土和潮土N_2O排放分别增加了314%、116%、240%和282%.添加生物质炭对华北平原4种土壤N_2O排放影响存在差异,与CK相比,单施生物质炭水稻土、褐土N_2O排放显著增加了72. 4%和50. 9%,而砂姜黑土和潮土BC与CK处理无显著差异.与NPK相比,生物质炭与化肥配施显著降低了4种土壤N_2O排放.添加生物质炭提高了4种土壤pH,其中,初始pH最低的水稻土,受生物质炭影响较显著,施肥则降低了4种土壤pH.砂姜黑土、褐土和潮土施肥处理N_2O排放通量均与铵态氮含量呈显著正相关,水稻土和砂姜黑土单施生物质炭处理N_2O排放通量与硝态氮含量呈显著正相关.     

冬季猪粪固体堆放过程中NH3、N2O和NO排放特征研究

针对农村猪粪典型处理方式中的固体堆放管理,研究猪粪在冬季(2012年11月~2013年2月)固体堆放过程中NH3、N2O和NO排放特征.实验共设两个处理——无覆盖(non-covered,NC)和水稻秸秆覆盖(covered,C),堆放时间为73 d,期间进行了3次翻堆操作.实验观测了3种含氮气体(NH3、N2O和NO)的排放通量和堆体剖面N2O浓度变化.结果表明,猪粪固体堆放过程中NH3、N2O和NO排放累积量(以N计)分别占初始TN的比例为2.1%~2.6%、0.02%和~0.000 25%.两个处理的含氮气体排放通量变化趋势基本一致,且有覆盖堆体的含氮气体的排放量略低于无覆盖堆体.在堆放初期,NH3排放量最先出现峰值,之后N2O和NO排放开始增加.NH3和NO在固体堆放的中前期呈现互为消长的变化趋势;到堆放后期,N2O开始出现比前期高出两倍的排放高峰,而NH3和NO出现小幅增长.翻堆前后,NH3的排放无明显变化,而N2O排放在翻堆后均出现降低的变化,NO排放却出现升高的变化.     

南极菲尔德斯半岛植被土壤N2O排放特征

应用密闭箱法首次测定了南极菲尔德斯半岛苔藓、地衣植被土壤N2O的排放通量,并估算了该半岛植被区土壤在夏季2个月内N₂O的排放总量.结果表明:在晴天和雨天,苔藓土壤N₂O的排放通量与温度有较好的响应关系,呈现单峰型变化趋势;但在雪天,与温度的变化不一致;苔藓、地衣这2种不同的植被土壤N2O排放通量日变化基本一致;温度是影响苔藓土壤N2O的排放通量季节变化的主要因子,同时还受降水的影响,干湿交替有利于N2O的排放;苔藓土壤N₂O的排放总量为3.7152kg;地衣土壤N₂O的排放总量为2.5344kg.由此可见,南极菲尔德斯半岛苔藓、地衣植被土壤N₂O排放量虽然很小,但仍起着大气N₂O源的作用.     

Modeling effects of temperature and precipitation on carbon characteristics and GHGs emissions in Abies fabric forest of subalpine

Abies fabric forest in the eastern slope of Gongga mountain is one type of subalpine dark coniferous forests of southwestern China. It is located on the southeastern edge of the Qinghai-Tibet plateau and is sensitive to climatic changes. A process-oriented biogeochemical model, Forest-DNDC, was applied to simulate the e ects of climatic factors, temperature and precipitation changes on carbon characteristics, and greenhouse gases (GHGs) emissions in A. fabric forest. Validation indicated that the Forest-DNDC could be used to predict carbon characteristics and GHGs emissions with reasonable accuracy. The model simulated carbon fluxes, soil carbon dynamics, soil CO2, N2O, and NO emissions with the changes of temperature and precipitation conditions. The results showed that with variation in the baseline temperature from –2℃ to +2℃, the gross primary production (GPP) and soil organic carbon (SOC) increased, and the net primary production (NPP) and net ecosystem production (NEP) decreased because of higher respiration rate. With increasing baseline precipitation the GPP and NPP increased slightly, and the NEP and SOC showed decreasing trend. Soil CO2 emissions increased with the increase of temperature, and CO2 emissions changed little with increased baseline precipitation. With increased temperature and decreased baseline temperature, the total annual soil N2O emissions increased.With the variation of baseline temperature from –2℃ to +2℃, the total annual soil NO emissions increased. The total annual N2O and NO emissions showed increasing trends with the increase of precipitation. The biogeochemical simulation of the typical forest indicated that temperature changes strongly a ected carbon fluxes, soil carbon dynamics, and soil GHGs emissions. The precipitation was not a principal factor a ecting carbon fluxes, soil carbon dynamics, and soil CO2 emissions, but changes in precipitation could exert strong e ect on soil N2O and NO emissions.     

碳底物含量对厌氧条件下水稻土N2、N2O、NO、CO2和CH4排放的影响

理解底物碳氮对厌氧条件下水稻土排放氮素气体——氮气(N2)、氧化亚氮(N2O)和一氧化氮(NO)以及二氧化碳(CO2)和甲烷(CH4)的影响,有助于制定合理的温室气体减排措施,定量了解反硝化产物组成对碳底物水平的依赖性,也有助于氮转化过程模型研发中制定正确的关键过程参数选取方法或参数化方案.本研究采用粉砂壤质水稻土为研究对象,设置对照(CK)和加碳(C+)两个处理,前者的初始硝态氮和可溶性有机碳(DOC)含量分别为~50 mg·kg-1和~28 mg·kg-1,后者的分别为~50 mg·kg-1和~300 mg·kg-1.采用氦环境培养-气体及碳氮底物直接同步测定系统,研究了完全厌氧条件下碳底物水平对上述气体排放的影响.结果表明,CK处理无CH4排放,而C+处理可观测到CH4排放;C+处理的综合增温潜势显著高于CK处理(P<0.01);NO、N2O和N2排放量占这3种氮素气体排放总量的比重,在CK处理分别约为9%、35%和56%,在C+处理分别约为31%、50%和19%,处理间差异显著(P<0.01).由此表明,碳底物水平可显著改变所排放氮素气体的组成;对于旱地阶段硝态氮比较丰富的水稻土,避免在淹水前或淹水期间施用有机肥,有利于削减温室气体排放.     

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.     

盐度水平对不同盐渍化程度土壤氧化亚氮排放的影响

选取内蒙古河套灌区3种不同盐渍化程度土壤(盐土、重度盐渍化土壤和轻度盐渍化土壤),采用室内培养方法,用不同浓度KCl溶液调节不同盐渍化程度土壤盐含量分别为原土壤盐含量(对照)的2倍和3倍,研究盐分对不同盐渍化程度土壤氧化亚氮(N_2O)排放的影响.结果表明,盐分含量显著影响不同盐渍化程度土壤N_2O排放.无外源盐分加入时,不同盐碱程度土壤中盐土N_2O排放量最高,重度盐渍化土壤次之,轻度盐渍化土壤最低.外源盐加入后,随盐度梯度升高,与其对照相比,盐土N_2O排放量降低;重度盐渍化土壤N_2O排放量呈现先增加后降低趋势;轻度盐渍化土壤N_2O排放量升高.与其对照相比,土壤的盐分含量增加2倍时,盐土N_2O排放量减少90%;轻度盐渍化土壤N_2O排放量增加9倍.外源盐加入不同盐渍化程度土壤对N_2O排放的影响程度取决于土壤培养前后铵态氮含量差值,加入外源盐后,N_2O累积排放变化量的94.6%由土壤NH_4~+-N含量差值解释(R2=0.95,p0.01).     

不同生态系统土壤生化特征及其与土壤呼吸和N2O排放的关系

通过室内培养实验,研究了不同生态系统土壤生化特征及其对土壤呼吸和N2O排放的影响.结果表明,不同生态系统土壤的生化特征不同,土壤呼吸和N2O排放也不相同.一般果园细菌数量最多,草地放线菌数量最多,林地真菌数量最多,而竹园细菌放线菌数量最少,果园真菌最少;微生物碳氮含量一般果园>林地>农田.相关分析表明细菌数量与微生物碳氮呈显著正相关,放线菌数量与土壤有机碳和全氮含量呈极显著正相关(P<0.01),而真菌数量仅与全氮含量呈显著正相关(P<0.05).土壤呼吸累积排放量从高到低为果园>竹林>农田>林地>草地.N2O累积排放量为农田>果园>草地>林地>竹林.土壤呼吸与细菌、微生物碳氮呈显著正相关(P<0.05);土壤的N2O排放与三大微生物、铵态氮呈显著正相关(P<0.05).逐步回归分析表明土壤呼吸主要取决于土壤细菌数量和pH的变化;土壤N2O排放主要取决于土壤细菌数量和铵态氮含量的变化.     

生物炭和有机肥对华北农田盐碱土N2O排放的影响

基于山东滨州地区冬小麦-夏玉米轮作大田试验,探究了施用生物炭和有机肥对夏玉米季土壤氧化亚氮(N_2O)排放的影响,为盐碱土壤N_2O增汇减排提供理论依据.试验按照不同处理氮、磷、钾含量相同原则,设置对照CK[N:0.2t·(hm~2·a)~(-1),P_2O_5:0.12 t·(hm~2·a)~(-1),K_2O:0.2 t·(hm~2·a)~(-1)]、C1[5 t·(hm~2·a)~(-1)生物炭]、C2[10 t·(hm~2·a)~(-1)生物炭]、C3[20 t·(hm~2·a)~(-1)生物炭]、M1[7.5 t·(hm~2·a)~(-1)有机肥]、M2[10 t·(hm~2·a)~(-1)有机肥]这6个处理.结果表明,施加生物炭和有机肥对土壤N_2O排放影响趋势基本一致,排放高峰均出现在施肥(基肥和追肥)后,累积排放量占整个生育期排放量的近一半;与CK相比,C1、C2分别降低N_2O排放的45.3%、31.6%,而C3、M1、M2分别增加了17.3%、37.4%、27.6%.施加生物炭和有机肥均会对土壤N_2O排放产生影响,施加生物炭可以降低N_2O排放,而施加有机肥则促进了N_2O排放.因此,生物炭对减少农田N_2O排放具有巨大潜力.     

不同施肥模式对热区晚稻水田CH4和N2O排放的影响

由于农田温室气体排放的原位观测主要集中于温带和亚热带地区,热带地区农田土壤温室气体的排放往往被忽视.研究不同施肥模式下海南稻田温室气体排放特征对于准确评估我国农田土壤CH_4和N_2O排放及制定相应的减排措施有重要意义.本研究设置5个处理:空白对照(CK)、常规施肥(CON)、优化施肥(YH)、优化施肥与缓控释肥配施(ZYH1)、优化施肥、缓控释肥和有机肥三者配施(ZYH2),采用静态箱-气相色谱法,通过田间小区试验研究晚稻生长季CH_4和N_2O排放动态特征,并估算全球增温潜势(GWP)以及温室气体排放强度(GHGI).结果表明,CK、CON、YH、ZYH1和ZYH2处理的CH_4晚稻生长季累计排放量分别为175. 70、60. 30、63. 00、62. 80和56. 60 kg·hm~(-2),相应处理的N2O晚稻生长季累积排放量分别为0. 78、3. 40、1. 03、1. 44和0. 44 kg·hm~(-2). ZYH2的产量较CK、CON、YH和ZYH1分别提高了29. 69%、11. 81%、6. 74%和10. 36%,GWP较CK、CON、YH和ZYH1分别降低了64. 80%、43. 23%、12. 93%和15. 15%,同时,GHGI分别降低了76. 49%、52. 52%、20. 54%和23. 87%.相关分析结果表明:土壤温度和Eh是驱动CH_4排放变化的主要因素.综合产量及温室气体减排效果而言,优化施肥+羊粪有机肥+缓控释肥处理(ZYH2)是当地值得推广的减肥模式.     

添加磷对水稻-油菜轮作土壤N2O排放影响

我国南方红壤区域普遍属于缺磷土壤,种植作物需要施用较多的磷肥,但添加磷对水稻-油菜轮作土壤中N_2O的排放影响并不明确.以潜江、咸宁两处水稻-油菜轮作模式下的土壤为研究对象,添加不同浓度的磷(0、15和30 mg·kg-1)和不同浓度的氮(0和100 mg·kg-1)进行室内培养实验,探究添加磷对水稻-油菜轮作土壤N_2O排放的影响.结果表明,添加磷对土壤中N_2O的排放有较为显著的影响,但影响的方式有所不同:在土壤本身氮比较少的情况下,添加磷会促进土壤中微生物对氮的固定,降低N_2O的排放;在土壤中有充足的氮情况下,添加较少的磷会促进土壤中硝化微生物的活动,促进N2O的排放,但添加较多的磷同样会促进土壤中微生物对氮的固定,相比于添加较少的磷处理会抑制N_2O的排放;在土壤本身磷的含量较为充足的情况下,无论土壤中的氮源是否充足,添加磷仅对土壤中N_2O的排放起抑制作用.     

鼎湖山主要森林生态系统地表N_2O通量

利用静态箱-气相色谱法对鼎湖山3 种处于演替不同阶段的森林类型(季风常绿阔叶林、针阔叶混交林和马尾松林)的地表N2O 通量进行了 1 年的原位观测和研究.结果表明,3 种林型地表 N2O 通量按从大到小的顺序为:季风林>混交林>松林;不同林型间的 N2O 通量差异与森林土壤的性质有密切关系,C/N 比值较低的季风林凋落叶对土壤中产生N2O 的微生物过程有较为明显的促进作用;从全年来看,松林地表N2O 通量的季节变化不明显,而季风林和混交林的地表 N2O 通量在雨季存在明显的降雨驱动效应,统计分析显示在该地区影响森林地表N2O 通量的主要因子是土壤湿度.     

Cover crop effects on nitrous oxide emission from a manure-treated Mollisol

Agriculture contributes 40–60% of the total annual N₂O emissions to the atmosphere. Development of management practices to reduce these emissions would have a significant impact on greenhouse gas levels. Non-leguminous cover crops are efficient scavengers of residual soil NO₃, thereby reducing leaching losses. However, the effect of a grass cover crop on N₂O emissions from soil receiving liquid swine manure has not been evaluated. This study investigated: (i) the temporal patterns of N₂O emissions following addition of swine manure slurry in a laboratory setting under fluctuating soil moisture regimes; (ii) assessed the potential of a rye (Secale cereale L.) cover crop to decrease N₂O emissions under these conditions; and (iii) quantified field N₂O emissions in response to either spring applied urea ammonium nitrate (UAN) or different rates of fall-applied liquid swine manure, in the presence or absence of a rye/oat winter cover crop. Laboratory experiments investigating cover crop effects N₂O emissions were performed in a controlled environment chamber programmed for a 14 h light period, 18 °C day temperature, and 15 °C night temperature. Treatments with or without a living rye cover crop were treated with either: (i) no manure; (ii) a phosphorus-based manure application rate (low manure): or (iii) a nitrogen-based manure application rate (high manure). We observed a significant reduction in N₂O emissions in the presence of the rye cover crop. Field experiments were performed on a fine-loamy soil in Central Iowa from October 12, 2005 to October 2, 2006. We observed no significant effect of the cover crop on cumulative N₂O emissions in the field. The primary factor influencing N₂O emission was N application rate, regardless of form or timing. The response of N₂O emission to N additions was non-linear, with progressively more N₂O emitted with increasing N application. These results indicate that while cover crops have the potential to reduce N₂O emissions, N application rate may be the overriding factor.     

Effect of temperature on anoxic metabolism of nitrites to nitrous oxide by polyphosphate accumulating organisms

Temperature is an important physical factor, which strongly influences biomass and metabolic activity. In this study, the effects of temperature on the anoxic metabolism of nitrite(NO-2) to nitrous oxide(N2O) by polyphosphate accumulating organisms, and the process of the accumulation of N2O(during nitrite reduction), which acts as an electron acceptor, were investigated using 91% ± 4% Candidatus Accumulibacter phosphatis sludge. The results showed that N2O is accumulated when Accumulibacter first utilize nitrite instead of oxygen as the sole electron acceptor during the denitrifying phosphorus removal process. Properties such as nitrite reduction rate, phosphorus uptake rate, N2O reduction rate, and polyhydroxyalkanoate degradation rate were all influenced by temperature variation(over the range from 10 to 30°C reaching maximum values at 25°C). The reduction rate of N2O by N2O reductase was more sensitive to temperature when N2O was utilized as the sole electron acceptor instead of NO2, and the N2O reduction rates, ranging from 0.48 to 3.53 N2O-N/(hr·g VSS), increased to 1.45 to 8.60 mg N2O-N/(hr·g VSS). The kinetics processes for temperature variation of 10 to 30°C were(θ1 = 1.140–1.216 and θ2= 1.139–1.167). In the range of 10°C to 30°C, almost all of the anoxic stoichiometry was sensitive to temperature changes. In addition, a rise in N2O reduction activity leading to a decrease in N2O accumulation in long term operations at the optimal temperature(27°C calculated by the Arrhenius model).     

三峡库区消落带N2O排放及其影响因素

为了探讨亚热带水库消落带N_2O的排放规律,选取三峡库区王家沟一典型消落带内3个高程(180、175和155 m)作为研究对象,采用静态暗箱和浮箱法进行了为期2 a的连续观测.175 m和155 m高程位于三峡库区消落带上,而180 m高程作为对照,为永不淹水的陆地.结果表明,各高程处的N_2O排放通量都表现出明显的季节变化,180 m高程处的春季N_2O排放最低;175 m高程在实验观测的第一年表现为单峰型的夏季N_2O排放高峰,次年在三峡水库实现最高蓄水位175 m后,表现为干湿交替和夏季N_2O高排放的双峰型;155 m高程处只呈现为夏季高N_2O排放的单峰态.另外,位于消落带上的175 m和155 m高程均表现为落干期N_2O排放大于淹水期.各高程处N_2O的年累积排放量为175 m(853.92 mg·m-2)180 m(336.69mg·m~(-2))155 m(324.69 mg·m~(-2)),与180 m高程对照相比,表明短期淹水会促进N_2O排放,而长期淹水则会抑制N_2O排放.相关性分析显示,陆地与消落带落干期的N_2O排放与各环境因子间无显著相关性,消落带淹水期排放与水温和风速呈极显著负相关.对影响陆地、消落带淹水期和落干期N_2O排放的因素进行主成分分析可知,消落带淹水期水体中可溶性氮素的分布是影响水面N_2O排放的最主要因素,而消落带落干期及陆地则是受土壤碳氮含量、土壤温度、湿度及pH等因素的共同影响和制约.     

Nitrous oxide emissions from black soils with different pH

N₂O fluxes as a function of incubation time from soil with different available N contents and pH were determined. Cumulative carbon dioxide (CO₂) emissions were measured to indicate soil respiration. A 144-hr incubation experiment was conducted in a slightly acidic agricultural soil (pH_H2O 5.33) after the pH was adjusted to four different values (3.65, 5.00, 6.90 and 8.55). The experiments consisted of a control without added N, and with NH₄⁺-N and NO₃^--N fertilization. The results showed that soil pH contributed significantly to N₂O flux from the soils. There were higher N₂O emissions in the period 0-12 hr in the four pH treatments, especially those enhanced with N-fertilization. The cumulative N₂O-N emission reached a maximum at pH 8.55 and was stimulated by NO₃^--N fertilization (70.4 μg/kg). The minimum emissions appeared at pH 3.65 and were not stimulated by NO₃^--N or NH₄⁺-N fertilization. Soil respiration increased significantly due to N-fertilization. Soil respiration increased positively with soil pH (R² = 0.98, P < 0.01). The lowest CO₂-C emission (30.2 mg/kg) was presented in pH 3.65 soils without N-fertilization. The highest CO₂-C emissions appeared in the pH 8.55 soils for NH₄⁺-N fertilization (199 mg/kg). These findings suggested that N₂O emissions and soil respiration were significantly influenced by low pH, which strongly inhibits soil microbial nitrification and denitrification activities. The content of NO₃^--N in soil significantly and positively affected the N₂O emissions through denitrification.