大气高CO2浓度对油菜氮素同化累积与植株生长的影响

为了指导高CO2浓度条件下甘蓝型油菜Brassica napus L.合理施氮、创建油菜高产高效以及进一步探明油菜氮代谢的调节机制提供理论依据,本研究采用微区试验,研究2个油菜品种（沪油15-33号和742-2）在2个CO2浓度水平（自然CO2摩尔分数400μmol·mol-1和高CO2摩尔分数（800±20）μmol·mol-1）和2个氮素水平（施氮与不施氮）条件下,氮素同化酶（NR和GS）活性和可溶性蛋白含量的变化,以及油菜地上部干物质量和氮素累积量的响应。试验结果表明,高CO2浓度会提高NR和GS活性;在氮素处理的影响方面,NR活性的变化与油菜的品种和生育时期不同有关：在高CO2浓度条件下,品种A在各时期的施氮处理的酶活性高于不施氮处理;品种B只在抽薹期的施氮处理低于不施氮处理,其他时期则升高;对于GS酶活性,在自然CO2浓度条件下施氮会提高GS酶活性,高CO2浓度条件下施氮则降低其活性（苗期除外）。CO2浓度升高会降低叶片中可溶性蛋白含量（盛花期除外）;在正常CO2浓度下,增施氮肥会提高叶片中可溶性蛋白含量,而在高CO2浓度下,增施氮肥会降低叶片中可溶性蛋白含量。CO2浓度升高和增施氮肥都会提高油菜地上部干物质量与氮素累积量,油菜干物质量与氮素累积量总体上与上述测定指标呈极显著相关。     

秸秆与氮肥配施对辽西旱区土壤酶活性与土壤养分的影响

通过田间试验研究了玉米（Zea mays L.）秸秆与氮肥配施对耕层土壤酶活性及土壤养分的影响。试验设4个秸秆还田量水平,2个施氮量水平。结果表明：在秸秆配施氮肥条件下,耕层土壤中性磷酸酶、脲酶、转化酶和过氧化氢酶活性以及有机质和全氮质量分数均表现为随着玉米秸秆还田量的增加而提高,而硝态氮（3NO-N）和铵态氮（＋4NH-N）质量分数则表现为随着玉米秸秆还田量的增加而减少,4种土壤酶活性与土壤有机质和全氮质量分数均呈显著正相关,与土壤硝态氮和铵态氮质量分数则呈显著负相关。玉米秸秆还田量9 000 kg.hm-2配施氮肥量420 kg.hm-2是辽西风沙半干旱区效果较好的技术措施。     

不同稻秆处理方式下双季稻温室气体排放通量研究

通过田间试验研究了不同稻秆处理方式下(常规处理(移出稻田+NPK),直接还田(RS)+NPK,原位焚烧还田(BIS)+NPK)双季稻温室气体排放.结果表明,相对于常规处理,RS+NPK处理显著增加CH4排放与减少N2O排放,BIS+NPK处理降低水稻生长季稻田CH4;RS+NPK和BIS+NPK处理稻田N2O排放差异并不显著(P>0.05);早、晚稻秸秆焚烧过程中产生的CH4与焚烧处理田间CH4排放相当,焚烧过程产生的N2O分别为BIS+NPK处理早、晚稻生长季N2O排放总量的90.1%和53.4%,贡献极大.不同处理温室效应表现为RS+NPK>NPK>BIS+NPK,单位产量的温室效应表现为秸秆直接还田处理最高,秸秆原位焚烧处理最低.     

生物膜系统中部分反硝化实现特性

以移动床生物膜反应器（moving-bed biofilm reactor,MBBR）为例,考察生物膜系统中部分反硝化NO₂^--N积累特性,并通过耦合厌氧氨氧化验证生物膜系统中部分反硝化耦合厌氧氨氧化（partial denitrification with anaerobic ammonium oxidation,PD+ANAMMOX）工艺的可行性.结果表明,在C/N为3.0,填充率为20%的条件下,经过40 d的富集培养,实现部分反硝化,NO₂^--N积累率达（69.38±3.53）%;接种生物膜NO₃^--N还原酶（nitrate reductase,NAR）活性为0.03 μmol·（min·mg）^-1,NO₂^--N还原酶（nitrite reductase,NIR）活性为0.18 μmol·（min·mg）^-1,富集培养后生物膜NAR活性增至0.45 μmol·（min·mg）^-1,NIR活性降至0.02 μmol·（min·mg）^-1,从酶学角度验证了部分反硝化实现;高通量测序结果显示,Thauera属从0.3%增加至37.27%,在微生物群落中占主导地位,该菌属被认为是部分反硝化过程的主要功能菌.随后与厌氧氨氧化耦合,出水总氮达（6.41±1.50） mg·L^-1,总氮去除率达（88.16±2.71）%,证明了生物膜系统中PD+ANAMMOX的可行性及稳定性.     

施用高效氮肥对农田N2O的减排效果及经济效益分析

收集高效氮肥N2O排放资料,利用整合分析法分析高效氮肥对N2O的减排效果.稳定性氮肥排放的N2O是普通肥料的0.66倍,减排效果显著;包膜缓释氮肥N2O排放量为普通氮肥的0.95倍,无显著减排效果.若将全国范围的普通氮肥替换为稳定性氮肥、且用N量不变时,稳定性氮肥在中国农田的N2O减排潜力均值为1.03×108 kgN/a,碳排放交易收入为16.86亿元/a;根据现有市场上稳定性氮肥的价格,每亩地每季补贴4.9元,碳排放交易收入和稳定性氮肥成本增加量相抵.由于稳定性氮肥能有效提高N利用率,保证农作物吸N总量不变时减少用N量,稳定性肥料N利用率提高8个百分点时,N2O减排经济效益(即碳排放交易收入-稳定性氮肥成本增加量)为94亿元/a.     

长期棉花连作对北疆棉区土壤生物活性与酶学性状的影响

以长期连作棉田为研究对象,通过对5-15年连作棉田土壤理化性质和生物学性状的测定,揭示北疆长期连作对土壤主要肥力性质、土壤酶活性、微生物量碳氮以及土壤呼吸的影响。结果表明：长期棉花（Gossypium spp）连作对土壤肥力性状影响显著,表层土壤（0-20cm）肥力明显高于亚表层（20-40cm）。长期棉花连作对土壤酶活性、微生物量碳氮、土壤呼吸等生物活性有显著影响,脲酶、碱性磷酸酶、β-葡萄糖苷酶、纤维素酶和多酚氧化酶均随棉花连作年限增加而下降,棉花/苜蓿（Medicago sativa Linn）轮作（CtR-AR）处理各酶酶活性均高于棉花连作处理。微生物量碳（MBC）随棉花连作年限逐渐下降,而微生物量氮（MBN）随不同棉花连作年限并无一致性变化。不同棉花连作年限处理之间的呼吸商（q（CO2））有很大的差异,15年棉花连作非病区（CtN15）土壤呼吸商最高为19.00g？mg-1？h-1,CtR-AR处理的呼吸商最低为13.64g？mg-1？h-1。土壤微生物商随棉花连作年限延长呈现下降趋势,CtN15处理出现最低值,为0.81%。随棉花连作年限增加,土壤微生物活性降低,不利于土壤健康持续利用。     

沼泽湿地植物光合特性及固“碳”潜势对外源氮输入的响应

以沼泽湿地典型草甸植被小叶章(Calamagrostis angustifolia)为研究对象,在三江平原进行了野外培养实验,探讨了4个不同氮素输入水平(0(NO)、6(N6),12(N12)、24(N24)g·m-2· a-1)下沼泽湿地植物生长与光合特性的响应特征,并从光合固"碳"的角度分析了小叶章沼泽湿地的固"碳"潜势.结果表明,外源氮输入明显促进了小叶章的株高、叶面积及植株数,显著增加了碳的生物量积累,到植物生长季结束,N6、N12和N24三个施氮水平下,小叶章地上部分生物量分别比对照增加了58.79%、133.11%和190.55%.同时,小叶章叶片全氮含量、叶绿素、可溶性蛋白和游离氨基酸含量也显著增加,净光合速率明显提高,分别比对照增加了20.70%、26.69%和53.54%.从光合固"碳"的角度来看,外源氮输入能够促使沼泽湿地植物通过光合作用固定更多CO2.     

Enhanced biological nutrient removal by the alliance of a heterotrophic nitrifying strain with a nitrogen removing ecosystem

Nitrogen removal from synthetic wastewater was investigated in an airlift bioreactor （ALB）, augmented with a novel heterotrophic nitrifier Pseudonocardia ammonioxydans H9^T under organic carbon to nitrogen ratios （Corg/N） ranging from 0 to 12. Effect of the inoculated strain was also determined on the settling properties and the removal of chemical oxygen demand （COD）. Two laboratory scale reactors were set up to achieve a stable nitrifying state under the same physicochemical conditions of hydraulic retention time （HRT）, temperature, pH and dissolved oxygen （DO）, and operated under the sequencing batch mode. The level of DO was kept at 0.5- 1.5 mg/L by periodic stirring and aeration. Each specific Corg/N ratio was continued for duration of 3 weeks. One of the reactors （BR2） was inoculated with P ammonioxydans H9^T periodically at the start of each Corg/N ratio. Sludge volumetric index （SVI） improved with the increasing Corg/N ratio, but no significant difference was detected between the two reactors. BR2 showed higher levels of nitrogen removal with the increasing heterotrophic conditions, and the ammonia removal reached to the level of 82%-88%, up to10% higher than that in the control reactor （BR1） at Corg/N ratios higher than 6; however, the ammonia removal level in experimental reactor was up to 8% lower than that in control reactor at Corg/N ratios lower than 2. The COD removal efficiency progressively increased with the increasing Corg/N ratios in both of the reactors. The COD removal percentage up to peak values of 88%-94% in BR2, up to 11% higher than that in BR1 at Corg/N ratio higher than 4. The peak values of ammonia and COD removal almost coincided with the highest number （18%-27% to total bacterial number） of the exogenous bacterium in the BR2, detected as colony forming units （CFU）. Furthermore, the removal of ammonia and COD in BR2 was closely related to the number of the inoculated strain with a coefficient index （R2） up to 0.82 and 0.85 for ammonia and     

氮沉降对陆地生态系统土壤有机碳含量影响的Meta分析

研究已证实大气氮沉降的增加显著影响了土壤有机碳的含量,然而其变化幅度在不同的实验样地具有较大的差异.基于在我国开展的49个模拟氮沉降野外实验的408组数据,利用Meta分析、Meta回归和线性回归等方法系统研究了样地气候、土壤属性以及氮素施用参数对施氮后土壤有机碳含量的影响.结果表明,样地的年均温（MAT）和年均降水量（MAP）与施氮后土壤有机碳含量变化幅度显著正相关（P<0.05）.在MAT或MAP较低（MAT<3℃,MAP<500 mm）的样地中,施氮后土壤有机碳含量显著下降;而在MAT或MAP较高（MAT>3℃,MAP>500 mm）的样地中,施氮后土壤有机碳含量则显著升高.土壤属性方面,在C：N较高（>15）或酸性（pH<6.5）土壤中,施氮后土壤有机碳积累明显（P<0.05）;而在C：N较低（≤15）以及中性或碱性（pH≥6.5）土壤中,施氮后土壤有机碳变化不明显（P >0.05）.此外,施氮后草原生态系统土壤有机碳含量明显下降（-5.34%）;而湿地生态系统土壤有机碳含量变化不明显;森林生态系统土壤有机碳表现出明显积累（10.52%）,特别是阔叶林生态系统（13.10%）.所有的因子中,土壤C：N是影响施氮后土壤有机碳变化幅度的主导因子.在施氮类型方面,施加硝酸铵或尿素后土壤有机碳含量显著升高,而施加硝态氮对其影响不显著.综上所述,在精确评估、预测和分析氮沉降对土壤有机碳含量的影响时,应综合考虑样地的气候、土壤属性以及氮素施用参数等因素对实验结果的影响.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.