不同根系分泌物对土壤N2O排放及同位素特征值的影响

【目的】探究植物根系分泌的主要组分（有机酸、氨基酸、糖类）对土壤N₂O排放及其微生物过程的影响,为选择适宜的植物进而控制土壤N₂O排放提供支撑。【方法】通过室内试验分别添加草酸、丝氨酸、葡萄糖于土壤中模拟根系的3种主要分泌物,每种分泌物设置两个浓度水平：低浓度（150 μg C·d ^-1）和高浓度（300 μg C·d ^-1）,另设置添加蒸馏水的对照组,共7个处理。将土壤置于120 mL玻璃瓶中进行培养,24 h内采集气体样品7次,每次培养2 h,获取N₂O排放速率、日累积排放量和同位素特征值（δ ¹⁵N ^bulk、δ ¹⁸O和SP（site preference,SP=δ ¹⁵N ^α-δ ¹⁵N ^β））。【结果】添加3种根系分泌物组分后,土壤N₂O排放速率均逐渐升高,且均高于对照。高浓度处理组N₂O累积排放量为：葡萄糖（（3.2±1.3）mg·kg ^-1·d ^-1）处理>丝氨酸（（2.6±0.5）mg·kg ^-1·d ^-1）处理>草酸（（1.4±0.2）mg·kg ^-1·d ^-1）处理,低浓度处理组为：草酸（（2.7±1.3）mg·kg ^-1·d ^-1）处理>丝氨酸（（1.8±0.4）mg·kg ^-1·d ^-1）处理>葡萄糖（（1.6±0.8）mg·kg ^-1·d ^-1）处理;添加根系分泌物的不同处理间土壤N₂O的δ ¹⁸O值无明显差异,并稳定在24.1‰—25.6‰,且均显著高于对照（（20.1±1.5）‰）;土壤N₂O的δ ¹⁵N ^bulk值与添加根系分泌物的种类有关,其中草酸处理组为（-20.06±2.22）‰、丝氨酸处理组为（-22.33±1.10）‰、葡萄糖处理组为（-13.86±1.11）‰、对照组为（-23.14±3.72）‰。各处理土壤N₂O的SP值的变化范围为13.13‰—15.03‰,根系分泌物浓度越高,SP值越低。综合分析不同处理4个指标（N₂O排放速率、N₂O的δ ¹⁵N ^bulk、δ ¹⁸O和SP值）的不同时刻的检测值与日均值的校正系数,添加根系分泌物后第16小时各处理4个指标的校正系数最接近于1。【结论】在NH+ 4-300 mg N·kg ^-1的土壤环境下根系分泌物促进N₂O的排放,且在培养期间（24 h）土壤N₂O排放速率逐渐升高。高浓度处理组葡萄糖对土壤N₂O排放速率促进效果最强,低浓度处理组草酸对土壤N₂O排放速率促进效果最强。与对照组相比,根系分泌物的添加使N₂O的δ ¹⁸O值显著升高;与对照组相比,葡萄糖的添加使δ ¹⁵N ^bulk值显著升高。根系分泌物浓度越高,反硝化作用对N₂O的贡献越大。     

稻田生态系统氧化亚氮(N_2O)排放微生物调控机制研究进展及展望

氧化亚氮(N_2O)是第三大温室气体,对全球气候变化具有显著影响。稻田是重要的N_2O排放源,追踪稻田N_2O产生及排放关键过程的微生物调控机制,可以为农田土壤氮素循环研究以及稻田N_2O减排提供有价值的信息。微生物调控的硝化作用和反硝化作用是稻田N_2O排放的主要来源。基于此,我们在过去十年的研究中,依托中国科学院桃源农业生态试验站,以水稻田淹水-落干和施肥为关键过程,从水稻根际、土层深度、反应底物浓度等方面探明了土壤硝化反硝化过程和N_2O排放特征及其微生物调控机制;提出了开发稻田土壤微生物资源,提高土壤N_2O消纳能力的可能策略;构建了可以有效降低稻田氮素损失和N_2O排放的基于化肥一次性深施的减氮控磷施肥技术,并在实际农业生产中进行了示范推广。本文对上述研究取得的成果,以及国内外相关研究结果进行了全面综述。结合分子生物技术在土壤科学研究中的应用,今后的研究工作将会从以下几个方面开展:1)解析土壤微生物与土壤生产力和生态环境之间的关系;2)在基因组和转录组水平构建农田土壤碳氮循环功能微生物分析平台;3)解析土壤微生物分布与生态功能之间的关联机制;4)根系—土壤—微生物之间的协同机制以及植物—内生菌—土壤微生物之间相互影响的分子机制;5)加强对实用技术的研发,把基础研究成果转化为生产力,服务农业生产和生态文明建设。     

草甸草原模拟氮沉降抑制甲烷吸收、促进氧化亚氮排放

Few studies are conducted to quantify the effects of enhanced N deposition on soil nitrous oxide (N2O) emission and methane (CH4) uptake in the meadow steppe of Inner Mongolia,China.A two-year field experiment was conducted to assess the effects of nitrogen (N) deposition rates (0,10,and 20 kg N ha-1 year-1 as (NH4)2SO4) on soil N2O and CH4 fluxes.The seasonal and diurnal variations of soil N2O and CH4 fluxes were determined using the static chamber-gas chromatography method during the two growing seasons of 2008 and 2009.Soil temperature,moisture and mineral N (NH4+-N and NO3--N) concentration were simultaneously measured.Results showed that low level of (NH4)2SO4 (10 kg N ha-1 year-1) did not significantly affect soil CH4 and N2O fluxes and other variables.High level of (NH4)2SO4 (20 kg N ha-1 year-1) significantly increased soil NO3--N concentration by 24.1％ to 35.6％,decreased soil CH4 uptake by an average of 20.1％,and significantly promoted soil N2O emission by an average of 98.2％.Soil N2O emission responded more strongly to the added N compared to CH4 uptake.However,soil CH4 fluxes were mainly driven by soil moisture,followed by soil NO3--N concentration.Soil N2O fluxes were mainly driven by soil temperature,followed by soil moisture.Soil inorganic N availability was a key integrator of soil CH4 uptake and N2O emission.These results suggest that the changes of availability of inorganic N induced by the increased N deposition in soil may affect the CH4 and N2O fluxes in the cold semi-arid meadow steppe over the short term.     

复合益生菌发酵液的功能特性及对对虾诱食效果

为探求复合菌发酵液的多种功能,该试验选择具有脱氮、产酶、抑菌等优良性能的酵母菌、乳酸菌及芽孢杆菌各1株,利用已优化的HJ培养基进行共培养,实时监测发酵过程,分时段取样,对复合菌发酵液的脱氮、产酶、抑菌、培藻及诱食等功能进行研究。结果表明,酿酒酵母菌NJ-02、屎肠球菌SC-01及枯草芽孢杆菌M7-1能够在HJ培养基中进行共发酵,连续培养24 h后3株微生物活菌数量分别达到3.88×10~8、2.41×10~(10)、5.38×10~9 CFU/mL。复合菌发酵液的脱氮、培藻性能同复合菌中枯草芽孢杆菌M7-1的活菌数相关较大,发酵至16h其降解亚硝态氮和培藻性能最为理想,亚硝态氮降解率为89%,并使小球藻叶绿素a质量分数提升49.6%。复合菌发酵液具有同枯草芽孢杆菌M7-1相当的产酶(蛋白酶、淀粉酶、纤维素酶)活性及同屎肠球菌SC-01相当的抑菌(副溶血弧菌)活性。复合菌发酵液饲喂对虾,诱食效果明显好于对照组(P0.05),同化学诱食剂二甲基-β-丙酸噻亭(dimethyl-beta-propiothetin hydrochloride, DMPT)差异不显著,其肠道中乳酸菌、酵母菌数目显著高于对照组及化学诱食剂组(P 0.05)。该研究所制备的脱氮、培藻、抑菌及诱食功能复合菌发酵液,为可持续生态水产养殖提供了新的微生物资源和技术方法。     

基于稳定同位素和贝叶斯模型的引黄灌区地下水硝酸盐污染源解析

地下水硝酸盐（NO₃^-）污染已经成为全球严重的水环境问题之一，由于饮用水中高含量NO₃^-会转化成亚硝酸盐而增加各种疾病和癌症风险，其来源的确定对于NO₃^-污染的预防和控制非常重要。本文以黄河下游第二大灌区——潘庄灌区为例，首次采用NO₃^-的氮氧稳定同位素结合贝叶斯模型追溯地下水NO₃^-的来源并量化各种来源的贡献比例。结果表明，地下水NO₃^-含量分布在0.1~197.0 mg·L^-1，平均值为34.2 mg·L^-1。与《生活饮用水卫生标准》中规定的地下水NO₃^-最大含量[20 mg（N）·L^-1，相当于NO₃^-含量90 mg·L^-1]相比，有10%的样品NO₃^-含量超标。井深<30 m、30~60 m和>60 m的地下水NO₃^-平均含量分别为25.9 mg·L^-1、39.7 mg·L^-1和20.1 mg·L^-1。空间上，宁津县、武城县、平原县和禹城市有大片区域地下水NO₃^-含量较高。地下水NO₃^-的δ¹⁵N组成范围为0.72‰~23.93‰，平均值为11.62‰；δ¹⁸O组成范围为0.49‰~22.50‰，平均值为8.46‰。同位素结果表明粪便和污水、农业化肥是地下水中NO₃^-的主要污染来源。这反映了人类活动是引起地下水NO₃^-污染的主要原因。贝叶斯模型结果显示，粪便和污水对潘庄灌区地下水中NO₃^-平均贡献率高达56.2%，化肥的平均贡献率为19.3%，大气降水和土壤的平均贡献率分别为6.2%和12.3%。由于污水、粪便和化肥是地下水中NO₃^-的主要来源，为保护和改善研究区地下水水质，建议加强污水管道建设，强化畜禽粪便的管理以及提高化肥利用效率。     

2001-2015年北京市地下水资源承载力变化特征分析

北京市地下水超采现象严重，由此引发了包括地面沉降等相关环境问题，严重制约了北京市的经济社会发展。本文采用地下水可利用量和用水效率定义了地下水承载力，并结合地下水开采程度（R_G）和经济发展程度的投影图（R_Q）对北京市2001-2015年的地下水资源承载力进行了评价。结果表明：北京市地下水的供水量高于地表水的供水量，地表水和地下水供水量波动幅度较小；北京市农业用水效率和工业用水效率逐年升高，其他行业用水效率除在2014年和2015年出现小幅度降低外，其他年份均处于升高趋势，折算后的综合用水效率也从2001年的97元·m^-3增长到2015年的620元·m^-3；北京市地下水实际承载的GDP从2001年的2 636亿元增长到2014年的11 469亿元，2015年又减少到11 284亿元。以2010年为界限北京市地下水开采程度（R_G）和经济发展程度（R_Q）投影点分别位于Ⅰ区和Ⅱ区内，表明北京市地下水承载力2010年以前处于相对荷载过重的状态，2010年以后荷载状态有所缓解。虽然北京市实际承载的GDP低于理论承载的GDP，但是北京市地下水承载力仍然面临着严峻的挑战，逐步提高地表水使用量和提高用水效率是有效缓解北京市地下水超采的有力举措。     

Mitigation of nitrous oxide (N2O) emission from swine wastewater treatment in an aerobic bioreactor packed with carbon fibers

Mitigation of nitrous oxide (N₂O) emission from swine wastewater treatment was demonstrated in an aerobic bioreactor packed with carbon fibers (CF reactor). The CF reactor had a demonstrated advantage in mitigating N₂O emission and avoiding NOx (NO₃ + NO₂) accumulation. The N₂O emission factor was 0.0003 g N₂O‐N/gTN‐load in the CF bioreactor compared to 0.03 gN₂O‐N/gTN‐load in an activated sludge reactor (AS reactor). N₂O and CH₄ emissions from the CF reactor were 42 g‐CO₂ eq/m³/day, while those from the AS reactor were 725 g‐CO₂ eq/m³/day. The dissolved inorganic nitrogen (DIN) in the CF reactor removed an average of 156 mg/L of the NH₄‐N, and accumulated an average of 14 mg/L of the NO₃‐N. In contrast, the DIN in the AS reactor removed an average 144 mg/L of the NH₄‐N and accumulated an average 183 mg/L of the NO₃‐N. NO₂‐N was almost undetectable in both reactors.     

Nitrification and denitrification in subalpine coniferous forests of different restoration stages in western Sichuan, China

Nitrification is the biological conversion of organic or inorganic nitrogen compounds from a reduced to a more oxidized state. Denitrification is generally referred to as the microbial reduction of nitrate to nitrite and further gaseous forms of nitric oxide, nitrous oxide and molecular nitrogen. They are functionally interconnected processes in the soil nitrogen cycle that are involved in the control of long-term nitrogen losses in ecosystems through nitrate leaching and gaseous N losses. In order to better understand how nitrification and denitrification change during the process of ecosystem restoration and how they are affected by various controlling factors, gross nitrification rates and denitrification rates were determined using the barometric process separation (BaPS) technique in subalpine coniferous forests of different restoration stages. The results showed that forest restoration stage had no significant effects on gross nitrification rates or denitrification rates (One-way ANOVA (analysis of variance), p < 0.05). There was no significant difference in the temperature coefficient (Q ₁₀) for gross nitrification rate among all the forest sites (One-way ANOVA, p < 0.05). Gross nitrification rates were positively correlated with water content (p < 0.05), but not with soil pH, organic matter, total nitrogen, or C/N ratios. Denitrification rates in all the forest soils were low and not closely correlated with water content, soil pH, organic matter, or total nitrogen. Nevertheless, we found that C/N ratios obviously affected denitrification rates (p < 0.05). Results from this research suggest that gross nitrification is more responsible for the nitrogen loss from soils compared with denitrification. Translated from Journal of Plant Ecology, 2006, 30(1): 90–96 [译自: 植物生态学报]     

Numerical experiments of watershed-scale soil water movement and bedrock infiltration using a physical three-dimensional simulation model

Numerical experiments of soil water movement and bedrock infiltration based on a simplified simulation method were conducted to analyze watershed-scale rainfall-runoff processes. To verify the model accuracy, it was applied to a Minamitani watershed (0.45 ha). The simulation was performed with 2.5-m space grids horizontally and five cells vertically. Results of long-term calculation of this model proved that this simulation model is robust and demonstrated good computational water mass conservation. Calculation results showed the best agreement with observed hydrographs and the number of groundwater levels simultaneously when laboratory-tested soil hydraulic characteristics for topsoil were used and infiltration into bedrock was included in numerical calculations. Numerical experiments show that bedrock infiltration generated a stable base flow and suppressed the secondary discharge peak. The reproducibility achieved by observed soil hydraulic characteristics with the assumption of bedrock flow demonstrates the effectiveness of the simulation model used in this article for analyses of watershed-scale soil water movements.     

林地覆盖经营对雷竹林土壤氮素形态及硝化-反硝化作用的影响

为探讨林地覆盖经营对雷竹林土壤氮素形态和硝化作用、反硝化作用的影响,选择了覆盖11、3、5 a和不覆盖(CK)4种处理的雷竹林,测定0 20 cm土层土壤全氮、铵态氮和硝态氮含量,并采用气压过程分离系统(BaPS)测定土壤总硝化速率和反硝化速率。结果表明:随着覆盖年限的增加,试验雷竹林0 20 cm土层土壤全氮含量总体呈增加趋势,覆盖雷竹林全氮含量显著高于CK;土壤铵态氮和硝态氮含量均呈倒"N"型变化,覆盖3 a雷竹林的铵态氮和硝态氮含量最高;土壤铵硝比递增,覆盖3 a后显著提高,覆盖5 a后铵态氮是雷竹林土壤无机氮库的主要存在形式;土壤总硝化速率呈下降趋势,总体上与不同形态氮素含量、铵硝比相关性不显著,且相关性强度随覆盖经营年限的增加而减弱。土壤反硝化速率在覆盖3 a及以下年限时基本为0,覆盖5 a时显著提高,达69.53 μg·kg^-1·h^-1。研究表明,林地覆盖经营对雷竹林土壤氮素形态及组分比例的影响较明显,削弱了土壤硝化作用,土壤氮素不是限制硝化作用进行的主要因子,长期覆盖经营会显著提高土壤反硝化作用,增大土壤氮素的损失。在实际生产中建议采用休闲式覆盖方式,连续覆盖时间不超过3 a。