日本长期不同施肥稻田N2O和CH4排放特征及其环境影响

观测了75年长期连续不施肥、施硫酸铵、施熟制水稻秸秆与豆饼混合堆肥、施绿肥苜蓿4种处理下日本单季稻田温室气体N₂O和CH₄的排放特征及其环境影响.结果表明： 在水稻生长季节,不同处理间N₂O排放无显著差异,但CH₄排放差异显著;长期连续施用有机肥虽然没有增加N₂O排放却促进了CH₄排放.各系统排放N₂O和CH₄所产生的累积全球增温潜势（GWP）以绿肥处理最大（310.7 g CO₂e·m^-2）,熟制有机堆肥次之（151g CO₂e·m^-2）,硫酸铵处理最小（60.6 g CO₂e·m^-2）.稻田系统的GWP主要来自CH₄排放,控制和减少稻田系统CH₄排放是稻田温室气体减排的核心问题.长期连续施用熟制有机堆肥既能增加土壤有机质,改善地力,满足水稻高产,又能实现CH₄减排,是实践中值得推荐的水稻生产模式.     

稻田CH4和N2O的排放及养萍和施肥的影响

用箱法对我国东北稻田ＣＨ４和Ｎ２Ｏ排放进行观测研究表明,东北稻田的ＣＨ４排放通量比南方稻田小,平均日排放通量和生长季节排放总量分别为０．０７和７．４ｇ·ｍ－２．稻田淹水期几乎没有Ｎ２Ｏ的净排放,但在非淹水期内却有大量Ｎ２Ｏ排放（平均通量５９μｇＮ２Ｏ·ｍ－２·ｈ－１）．稻田养萍和施肥明显促进ＣＨ４和Ｎ２Ｏ排放．稻田ＣＨ４和Ｎ２Ｏ排放之间存在消长关系．制定稻田温室气体减排技术措施时应充分注意这一关系．     

小兴安岭典型草丛沼泽湿地CO2、CH4和N2O的排放动态及其影响因素

2007年6～10月,采用静态箱-气相色谱法,同步研究了小兴安岭典型修氏苔草(Carex schmidtii)沼泽湿地CO2、CH4和N2O排放通量的季节动态及其与环境因子的关系,估算CO2、CH4和N2O的生长季排放量,探讨了沼泽湿地碳与氮的源汇关系.结果表明:草丛沼泽生长季节温室气体排放量以CO2占绝对优势(99.61%),CH4的排放量次之(0.39%),N2O的排放量最低(0.000 7%),且为碳、氮的吸收汇(分别为固定量的53.93%和0.04%);CO2、CH4和N2O生长季平均排放通量依次为487.89、1.88和0.004 mg·m-2·h-1,且具有明显的季节变化特征,CO2和N2O的最高排放量均出现在夏季(6月24日至8月14日和7月14日至8月14日),CH4的最高排放量出现在夏秋季(8月24日至9月24日),其中,CO2季节变化与空气温度和0～20 cm土壤温度具有显著相关性(p＜0.05),CH4与空气温度具有显著相关性(p<0.01),N2O与水位具有显著的负相关性(p＜0.05).     

青海湖流域两种不同高寒湿地类型CO2、CH4和N2O排放通量对模拟降水的响应

以青海湖流域两种不同类型高寒湿地(鸟岛湖滨湿地、瓦颜山河源湿地)为研究对象,探究模拟降水(增雨50％处理、减雨50％处理以及自然处理)对高寒湿地温室气体(CO2、CH4、N2O)排放通量的影响.于2019年8月,使用静态箱–气相色谱法对两地温室气体进行观测.结果表明:1)模拟降水对鸟岛湖滨湿地、瓦颜山河源湿地CO2排放...     

川中丘陵区旱地小麦生态系统CO2、N2O和CH4排放特征

利用静态箱/气相色谱法观测川中丘陵旱地小麦生态系统CO2、N2O和CH4的排放通量.结果表明,旱地小麦CO2、N2O和CH4排放具有明显的日变化和季节变化特征.在小麦的整个生长季中,常规、无氮、空白、裸地等实验处理的CO2、N2O和CH4的排放通量具有显著差异.CO2排放通量表现为常规＞空白＞裸地,CO2日最高排放值在每日1300～1500时出现,最低排放值出现在凌晨300～600,且作物的不同生长季CO2排放通量具有一定的差异.在小麦生长季中,N2O通量排放呈递增趋势,N2O排放通量表现为常规＞空白＞裸地.旱地小麦CH4通量排放和温度、湿度等环境因子不具有显著的相关性,排放无规律.     

长期施肥对华北典型潮土N分配和N2O排放的影响

利用长期定位肥料试验研究化学肥料N、有机肥料N以及化学肥料N和有机肥料N混合施用对N分配和N2O排放影响。处理包括化学肥料N、P、K的不同组合NPK、NP、NK、PK、全部施用有机肥料N（OM）、一半化学肥料N＋一半有机肥料N（1／2OM）及不施肥（CK）7个处理。结果表明,等N条件下,处理间N2O排放的差异不显著,N2O排放主要发生在玉米生长期。均衡提供N、P和K显著提高土壤N储量,有机肥料N的效果显著高于化学N肥。施肥也影响N的利用效率和N在作物中的分配。均衡的养分供应有利于N在子粒中积累,而养分缺乏的处理,秸秆中N含量相对较高。进入环境的N量以NK最多,1／20M最少。总体而言,施P肥和有机肥可减少N2O的间接排放,提高土壤N素肥力并能获得较高的产量。     

不同冬季覆盖作物对稻田CH4 和 CO2 排放的影响

冬季稻田排放的甲烷( CH4)和二氧化碳(CO2)是影响稻田温室气体排放的重要因素。为探求种植适宜的冬季覆盖作物并减少稻田冬季CH4 和CO2 排放, 试验采用静态暗箱法对播种油菜的稻田(YC)、播种小麦的稻田(XM)及冬闲 田(CK)三个处理下稻田的CH4 和CO2 排放进行了观测, 分析了不同冬季覆盖作物对稻田CH4 和CO2 的排放影响。结果表明, 不同处理CH4 排放通量为YC＞XM＞CK, CO2 排放通量为XM＞YC＞CK。不同冬季作物覆盖下, 各处理CH4 和 CO2 的累计排放量表现同其平均排放通量相同。YC 处理的CH4 累计排放量与冬闲田(CK)处理的相比较达到显著水平(p<0.05), XM 处理CO2 的累计排放量与YC 和CK 相比都有显著性差异(p<0.05)。根据稻田CH4 和 CO2 季节排放量以及在 100 年尺度上的 CO2 当量计算, 不同处理温室气体全球增温潜势(GWP)大小顺序为XM＞YC＞CK, 在YC、XM 和CK 中, 小麦(Triticum aestivum L.)处理的增温潜势最大, 且最大值达到6442.58 (kg·hm–2)。小麦处理的CO2 和CH4 的总温室效应最大, 机耕直播油菜(Brassica napus L.)次之, 冬闲田最小。研究水稻(Oryza sativa L.)收获后稻田种植不同冬季作物, 观察在其生长季节内CH4 和 CO2 和的排放特征, 为合理利用冬闲稻田控制温室效应提供理论依据。     

鼎湖山主要森林土壤CO2排放和CH4吸收特征

研究了鼎湖山生物圈保护区马尾松林、混交林和季风常绿阔叶林(季风林)在2000~2001年期间土壤CO2排放和CH4吸收特征。季风林、混交林和马尾松林土壤CO2排放速率在研究期间的平均值分别为(kgCO2-C·hm-2·d-1):18.6±2.6,20.5±3.7和17.8±3.8,土壤CH4吸收速率则分别为(gCH4-C·hm-2·d-1):-5.5±1.8,-3.3±1.6和-7.7±1.8。土壤CO2排放速率和土壤CH4吸收速率在三种森林类型中均表现明显的季节性变化,且其季节性变化根据森林类型和年份不同而异。总的来说,土壤CO2排放速率在所有森林中均呈现夏季最高而冬季最低的变化,土壤CH4吸收速率的季节性变化则相反,基本上表现为冬季最高而夏季最低的变化。三种森林土壤的CO2排放速率和CH4吸收速率在两观测年间的差异均不显著。土壤CO2排放速率在不同森林类型间的差异也不显著,但土壤CH4吸收速率在马尾松林显著高于混交林。在两观测年中,土壤CO2排放速率与土壤CH4吸收速率之间在季风林呈现显著的负相关关系,在混交林和马尾松林中它们之间也趋向呈负相关关系,但未达显著水平。土壤CO2排放速率与土壤温度之间在季风林呈现显著的指数正相关关系,但在其余森林(混交林和马尾松林)中它们之间的关系则不明显。     

稻田CH4和N2O排放关系及其微生物学机理和一些影响因子

用静态箱法原位观测和分析了我国北方稻田 3～ 1 2月CH4和N2 O的排放及其关系 ,并研究了这一关系发生的微生物学机理 .同时 ,监测了土壤湿度、pH、水分及Eh的变化 .结果表明 ,稻田CH4和N2 O排放之间存在着互为消长的关系 (R2 =0 0 4 94) .土壤湿度、pH及Eh变化范围分别在 0～ 2 4℃、6 87～ 7 0 2和 41 5～ 30 0mv之间 ,水分从非淹水期的 38～ 72 ?至 5～ 1 0cm浅水淹灌 .土壤Eh对CH4和N2 O的释放起重要的调控作用 .在整个观测期内 ,与CH4和N2 O释放密切相关的 6种菌群 (发酵细菌、产氢产乙酸细菌、产甲烷细菌、甲烷氧化菌、硝化细菌、反硝化细菌 )各有其数量消长及酶活性变化规律 ,稻田CH4和N2 O排放之间互为消长的关系受这些相关微生物数量及酶活性变化的共同调控 .     

改变施肥管理后不同肥力稻田土壤CO2排放特征

利用一个长达30a水稻土长期定位试验,在保证原有定位试验继续正常开展的前提下,将原化肥处理改施有机肥,原有机肥处理改施化肥或者增施有机肥。通过观测田间试验2012—2013年双季稻轮作周期内不同肥力水平稻田土壤施肥管理改变后的土体CO2排放通量(FCO2),研究不同后续施肥管理对不同肥力红壤性水稻土CO2排放的影响。结果表明:变更施肥能明显改变CO2排放动态变化,其中长期施用有机肥处理改施化肥后其FCO2明显减小,长期施用化肥或有机肥处理增施有机肥后其FCO2显著增大。有机肥和土壤有机碳均可促进土体CO2排放,有机肥处理有机物料碳添加量与CO2-C年排放量呈极显著的正相关关系(r=0.9015**,n=21),单施化肥处理土壤有机碳含量与土体CO2-C年排放量符合线性方程:y=10.962x-68.86(R2=0.7507,n=9,P0.01)。长期施用有机肥土壤改施化肥会导致其有机碳矿化损失,土壤有机碳含量越高,矿化损失量越多,最终其有机碳水平将与长期施用化肥的土壤有机碳平衡值一致;长期施用化肥或有机肥土壤改施或增施有机肥可促进土壤有机碳积累,外源添加碳越多,土壤积累碳越多;相同有机肥施用量下土壤有机碳含量越高,有机物料表观分解率越大,积累于土壤中的有机碳越少,不同有机碳水平土壤在相同有机肥管理下其有机碳最终会达到相同的平衡值。在有机碳水平较低(20.46 g/kg)红壤稻田上增施有机肥是提升已培肥水稻土有机碳含量的可持续发展措施,而在有机碳水平较高(14.45 g/kg)红壤稻田上应避免改施化肥。总之,在有机碳含量较高或者较低的中国南方红壤性水稻土上,持续的有机肥施用是保持或者提高其有机碳水平的必要措施。     

赤红壤早稻田甲烷排放通量及其影响因素

用封闭箱法对广东省赤红壤早稻田CH4排放通量进行了观测。结果表明,CH4排放有明显的季节变化规律,3个排放高峰分别出现在水稻分蘖末期、孕穗抽穗期和乳熟期,平均通量为5.7mg.m-2.h-1。在测定期内,CH4排放与5和10cm土壤温度呈显著正相关,与土壤Eh呈显著负相关,与土壤pH值、水层深浅相关不明显。     

开放式空气CO2增高对稻田CH4和N2O排放的影响

在FACE(free aircarbondioxideenrichment)平台上 ,采用静态暗箱 气相色谱法观测研究了大气CO2 浓度增加对稻田CH4和N2 O排放的影响 .结果表明 ,在 15 0和 2 5 0kgN·hm-2 两种氮肥水平下大气CO2 浓度增加 2 0 0 μmol·mol-1均明显促进水稻生长 ,水稻生物量积累 .大气CO2 浓度增加对 15 0和 2 5 0kgN·hm-2 两种氮肥水平下稻田CH4排放均无显著影响 ,并简要分析了与现有文献报道结果不一致的原因 .大气CO2 浓度增加也未导致 15 0和 2 5 0kgN·hm-2 两种氮肥水平下稻田N2 O排放的明显变化 ,与大多数研究结果一致 .     

Rate of accumulation and emission of N2, N2O and CH4 from a flooded rice soil

In a field experiment using microplots, a flooded Crowley silt loam (Typic Albaqualfs) rice soil was fertilized with ¹⁵N labelled (60–74 atom %) urea and KNO₃. Emission of N₂, N₂O and CH₄ and accumulation in soil were measured for 21 d after fertilizer application.Emission of ¹⁵N₂-N measured from the urea and KNO₃ treated plots ranged from <15 to 570 and from 330 to 3,420 g ha^–1 d^–1, respectively. Entrapped ¹⁵N₂-N in the urea treated microplots was significantly lower (<15 g to 2.1 kg ha^–1) on all sampling dates compared to the ¹⁵N₂-N gas accumulation in the KNO₃ treated plots (6.4 to 31.5 kg ha^–1). Emissions of N₂O-N were low and did not exceed 4 g ha^–1 d^–1. Fluxes of CH₄ from the fertilizer and control plots were low and never exceeded 33 g ha^–1 d^–1. Maximum accumulation of CH₄ in the flooded soil measured 460 and 195 g ha^–1 for the urea and KNO₃ treatments, respectively.     

稳定性氮肥配合秸秆还田对水稻产量及N2O和CH4排放的影响

以中国科学院辽宁沈阳农田生态系统国家野外科学观测研究站连续两年的试验平台为依托,以潮棕壤为供试土壤,开展了稳定性氮肥配合秸秆还田对水稻产量及N₂O和CH₄排放的影响研究,设置对照(CK)、尿素(U)、尿素+脲酶抑制剂+硝化抑制剂(U+I)、秸秆还田(S)、秸秆还田+尿素(S+U)、秸秆还田+尿素+脲酶抑制剂+硝化抑制剂(S+U+I)6个处理.结果表明: 与CK相比,尿素显著提高了水稻产量、N₂O和CH₄累积排放及全球增温潜势.硝化抑制剂和脲酶抑制剂与尿素配施可显著减缓N₂O的累积排放.秸秆还田显著增加了N₂O和CH₄累积排放、全球增温潜势和温室气体排放强度.S+U+I处理水稻产量最高,但温室气体排放强度也显著高于其他处理;U+I处理产量略低于S+U+I,但温室气体排放强度最小.秸秆单独还田处理作物产量与对照相比无显著差异.在东北潮棕壤发育的水田中,S+U+I和U+I是相对较优的施肥模式.     

长效氮肥施用对黑土水旱田CH4和N2O排放的影响

通过在黑土玉米地与水稻田施用长效氮肥后发现 ,长效碳酸氢铵 (长碳 )与长效尿素(长尿 )能显著减少黑土玉米地N2 O的排放。与施用普通尿素相比 ,其排放量分别减少了5 9 2 %和 73 3%。长碳和长尿还能促进黑土玉米地对CH4的吸收作用。黑土水稻田施用长尿后 ,N2 O的排放减少了 6 1%。而CH4的排放却略有增加     

氢醌和双氰胺对种稻土壤N2O和CH4排放的影响

通过盆栽试验,研究了脲酶抑制剂氢醌（ＨＱ）、硝化抑制剂双氰胺（ＤＣＤ）及二者的组合（ＨＱ＋ＤＣＤ）对种稻土壤Ｎ２Ｏ和ＣＨ４排放的影响．结果表明,在未施麦秸粉时,所有施抑制剂的处理均较单施尿素的能显著减少水稻生长期供试土壤Ｎ２Ｏ和ＣＨ４的排放．特别是ＨＱ＋ＤＣＤ处理,其Ｎ２Ｏ和ＣＨ４排放总量分别约为对照的１／３和１／２．而在施麦秸粉后,该处理的Ｎ２Ｏ排放总量为对照的１／２,但ＣＨ４排放总量却较少差别．不论是Ｎ２Ｏ还是ＣＨ４的排放总量,施麦秸粉的都比未施的高出１倍和更多．因此,单从土壤源温室气体排放的角度看,将未腐熟的有机物料与尿素共施,并不是一种适宜的施肥制度．供试土壤的Ｎ２Ｏ排放通量,与水稻植株的ＮＯ－３Ｎ含量和土表水层中的矿质Ｎ量分别呈显著的指数正相关和线性正相关;ＣＨ４的排放通量则与水稻植株的生长量和土表水层中的矿质Ｎ量呈显著的线性负相关．在Ｎ２Ｏ与ＣＨ４的排放间,未施麦秸粉时存在着定量的相互消长关系;施麦秸粉后,虽同样存在所述关系,但难以定量化．     

Annual emissions of dissolved CO2, CH4, and N2O in the subsurface drainage from three cropping systems

Indirect emission of nitrous oxide (N₂O), associated with nitrogen (N) leaching and runoff from agricultural lands is a major source of atmospheric N₂O. Recent studies have shown that carbon dioxide (CO₂) and methane (CH₄) are also emitted via these pathways. We measured the concentrations of three dissolved greenhouse gases (GHGs) in the subsurface drainage from field lysimeter that had a shallow groundwater table. Aboveground fluxes of CH₄ and N₂O were monitored using an automated closed‐chamber system. The annual total emissions of dissolved and aboveground GHGs were compared among three cropping systems; paddy rice, soybean and wheat, and upland rice. The annual drainage in the paddy rice, the soybean and wheat, and the upland rice plots was 1435, 782, and 1010 mm yr^?1, respectively. Dissolved CO₂ emissions were highest in the paddy rice plots, and were equivalent to 1.05–1.16% of the carbon storage in the topsoil. Dissolved CH₄ emissions were also higher in the paddy rice plots, but were only 0.03–0.05% of the aboveground emissions. Dissolved N₂O emissions were highest in the upland rice plots, where leached N was greatest due to small crop biomass. In the soybean and wheat plots, large crop biomass, due to double cropping, decreased the drainage volume, and thus decreased dissolved GHG emissions. Dissolved N₂O emissions from both the soybean and wheat plots and the upland rice plots were equivalent to 50.3–67.3% of the aboveground emissions. The results indicate that crop type and rotation are important factors in determining dissolved GHG emissions in the drainage from a crop field.     

Effects of elevated ozone concentration on CH4 and N2O emission from paddy soil under fully open‐air field conditions

We investigated the effects of elevated ozone concentration (E‐O₃) on CH₄ and N₂O emission from paddies with two rice cultivars: an inbred Indica cultivar Yangdao 6 (YD6) and a hybrid one II‐you 084 (IIY084), under fully open‐air field conditions in China. A mean 26.7% enhancement of ozone concentration above the ambient level (A‐O₃) significantly reduced CH₄ emission at tillering and flowering stages leading to a reduction of seasonal integral CH₄ emission by 29.6% on average across the two cultivars. The reduced CH₄ emission is associated with O₃‐induced reduction in the whole‐plant biomass (?13.2%), root biomass (?34.7%), and maximum tiller number (?10.3%), all of which curbed the carbon supply for belowground CH₄ production and its release from submerged soil to atmosphere. Although no significant difference was detected between the cultivars in the CH₄ emission response to E‐O₃, a larger decrease in CH₄ emission with IIY084 (?33.2%) than that with YD6 (?7.0%) was observed at tillering stage, which may be due to the larger reduction in tiller number in IIY084 by E‐O₃. Additionally, E‐O₃ reduced seasonal mean NO_x flux by 5.7% and 11.8% with IIY084 and YD6, respectively, but the effects were not significant statistically. We found that the relative response of CH₄ emission to E‐O₃ was not significantly different from those reported in open‐top chamber experiments. This study has thus confirmed that increasing ozone concentration would mitigate the global warming potential of CH₄ and suggested consideration of the feedback mechanism between ozone and its precursor emission into the projection of future ozone effects on terrestrial ecosystem.     

Revising a process-based biogeochemistry model (DNDC) to simulate methane emission from rice paddy fields under various residue management and fertilizer regimes

A comprehensive biogeochemistry model, DNDC, was revised to simulate crop growth and soil processes more explicitly and improve its ability to estimate methane (CH₄) emission from rice paddy fields under a wide range of climatic and agronomic conditions. The revised model simulates rice growth by tracking photosynthesis, respiration, C allocation, tillering, and release of organic C and O₂ from roots. For anaerobic soil processes, it quantifies the production of electron donors [H₂ and dissolved organic carbon (DOC)] by decomposition and rice root exudation, and simulates CH₄ production and other reductive reactions based on the availability of electron donors and acceptors (NO₃^?, Mn⁴⁺, Fe³⁺, and SO₄^2?). Methane emission through rice is simulated by a diffusion routine based on the conductance of tillers and the CH₄ concentration in soil water. The revised DNDC was tested against observations at three rice paddy sites in Japan and China with varying rice residue management and fertilization, and produced estimates consistent with observations for the variation in CH₄ emission as a function of residue management. It also successfully predicted the negative effect of (NH₄)₂SO₄ on CH₄ emission, which the current model missed. Predicted CH₄ emission was highly sensitive to the content of reducible soil Fe³⁺, which is the dominant electron acceptor in anaerobic soils. The revised DNDC generally gave acceptable predictions of seasonal CH₄ emission, but not of daily CH₄ fluxes, suggesting the model's immaturity in describing soil heterogeneity or rice cultivar‐specific characteristics of CH₄ transport. It also overestimated CH₄ emission at one site in a year with low temperatures, suggesting uncertainty in root biomass estimates due to the model's failure to consider the temperature dependence of leaf area development. Nevertheless, the revised DNDC explicitly reflects the effects of soil electron donors and acceptors, and can be used to quantitatively estimate CH₄ emissions from rice fields under a range of conditions.