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。     

不同质地黑土净氮转化速率和温室气体排放规律研究

为探讨黑龙江省半干旱地区不同质地黑土的净氮转化速率和温室气体排放规律,以壤砂土和粉壤土为研究对象开展室内培养试验,对土壤净硝化速率和净矿化速率、N2O和CO2排放速率与累积排放量进行研究。结果表明:7d培养期间壤砂土的平均净矿化速率和CO2平均排放速率分别为0.49mgN kg-1 d-1和0.30mgCO2-C kg-1 h-1,显著低于粉壤土的平均净矿化速率(1.37 mgN kg-1 d-1)和CO2平均排放速率(0.47mgCO2-C kg-1 h-1)。壤砂土的平均净硝化速率和N2O平均排放速率分别为1.65mgN kg-1 d-1和212.6ngN2O-N kg-1 h-1,显著低于粉壤土的5.02mgN kg-1 d-1和521.3ngN2O-N kg-1 h-1。壤砂土和粉壤土的N2O排放比率分别为0.081%~0.301%和0.210%~0.254%。研究表明,土壤质地显著影响土壤净氮转化速率和温室气体排放,壤砂土较低的pH、有机碳和水溶性有机碳含量是导致其净硝化速率、净矿化速率以及N2O、CO2排放速率显著低于粉壤土的主要原因。     

2株可培养细菌氮代谢特性的研究

研究旨在分析土壤中可培养细菌菌株的氮代谢特征,并进一步探讨微生物在土壤氮素转化中的可能作用机制。以2株分离自苹果园土壤的细菌菌株SY5-4和SY11-10为试材,采用传统培养方法结合分子检测技术,分别测定菌株生长特性及其氮素转化能力。研究结果表明,异养条件下,菌株SY5-4和SY11-10的世代时间分别为243.5 min和202.7 min。菌株生长过程中,培养液中铵态氮浓度始终维持在较高水平,铵态氮、亚硝态氮和硝态氮浓度均表现出先升后降的趋势。硝化（amoA和hao）和反硝化（nosZ、norB、nirK和nap）基因检测结果表明,菌株SY11-10具有多种氮素转化潜能。综上,供试菌株培养过程中,培养液中氮素发生变化,并在菌体中检测到不同氮转化基因,表明菌株参与多种氮代谢途径。     

脲酶抑制剂与硝化抑制剂对稻田土壤氮素转化的影响

【目的】本研究旨在阐明脲酶抑制剂(urease inhibitor,UI)和硝化抑制剂(nitrification inhibitor,NI)对稻田土壤氮素转化的影响,探讨抑制剂提高稻谷产量以及氮肥利用率的机理。【方法】本试验设在我国南方红壤稻田,共5个处理:1)不施氮肥(CK);2)尿素(U);3)尿素+脲酶抑制剂(U+UI);4)尿素+硝化抑制剂(U+NI);5)尿素+脲酶抑制剂+硝化抑制剂(U+UI+NI);脲酶抑制剂采用N-丁基硫代磷酰三胺(NBPT),硝化抑制剂采用3,4-二甲基吡唑磷酸盐(DMPP)。在水稻分蘖期和孕穗期测定土壤脲酶活性、硝酸还原酶活性、土壤铵态氮含量、硝态氮含量以及微生物碳、氮的含量,分析NBPT与DMPP对水稻两个主要生育期土壤氮素供应的影响,比较各处理的产量以及氮肥利用率,通过逐步回归分析研究以上各指标对产量的影响,探明脲酶抑制剂NBPT与硝化抑制剂DMPP在稻田的增效机理。【结果】1)与单施尿素相比,添加NBPT以及NBPT与DMPP配施均显著提高稻谷产量与地上部氮素回收率,两个处理分别增产6.56%与8.24%,氮素回收率提高幅度为19.4%与23.7%。2)与单施尿素相比,添加NBPT以及NBPT与DMPP配施,显著降低水稻分蘖期的土壤脲酶活性和铵态氮含量,显著提高孕穗期的铵态氮含量,而对此时期的脲酶活性无显著影响,所有处理对两个时期的硝态氮含量、硝酸还原酶活性、微生物量碳、氮含量均无显著影响;因此,NBPT对于抑制脲酶活性以及提高铵态氮含量的作用主要在孕穗期之前,而单施DMPP没有显著效应。3)从各项土壤指标与水稻产量相关性的逐步回归分析结果来看,水稻分蘖期与孕穗期稻田土壤中铵态氮含量对水稻产量影响显著,而且孕穗期的影响大于分蘖期,其余指标则对产量无显著影响。【结论】脲酶抑制剂NBPT以及NBPT与硝化抑制剂DMPP配施显著提高孕穗期土壤中的铵态氮含量,显著提高稻谷产量以及地上部氮素回收率,证明了生产上氮肥后移的重要意义。     

硝化抑制剂对枸杞园土壤的作用效果研究

通过室内恒温培养试验，筛选出效果最佳的硝化抑制剂剂型及剂量并应用于枸杞园土壤，研究其对枸杞产量及品质的影响。室内恒温培养试验供试硝化抑制剂为2-氯-6-三氯甲基吡啶(Nitrapyrin)、双氰胺(DCD)和3,4-二甲基吡唑磷酸盐(DMPP)，共设17个处理：未添加硝化抑制剂(CK)，添加Nitrapyrin(纯氮量的0.1%、0.2%、0.3%、0.4%、0.5%、0.6%)，添加DMPP(纯氮量的0.5%、1.0%、1.5%和2.0%)，添加DCD(纯氮量的1.0%、2.0%、3.0%、3.5%、4.0%和5.0%)。结果表明：在砂土的培养中，三者硝化抑制效果表现为DMPP≥Nitrapyrin＞DCD；DMPP和Nitrapyrin的硝化抑制率分别为71.90%~75.17%和4.83%~77.28%。但由于DMPP的价格(240~360元·kg^-1)及用量均高于Nitrapyrin(155元·kg^-1)，故选择纯氮量0.5%的Nitrapyrin应用于大田试验。田间试验设置4个处理：农民习惯施肥为SF100，SFN100、SFN80及SFN60处理是在SF100处理基础上分别减少0%、40%、60%的枸杞专用肥同时添加纯氮量为0.5%浓度的Nitrapyrin。结果表明：田间试验中施用Nitrapyrin处理的产量较SF100处理分别提高了6.67%，5.80%及3.52%，同时与SF100处理相比，SFN100处理的多糖及蛋白质含量分别提高了16.22%及8.67%。综合经济效益及生态效益，浓度为纯氮量0.5%的Nitrapyrin为最佳处理。在大田试验中施用Nitrapyrin同时减少枸杞专用肥的用量，枸杞产量及效益均有所提高，且蛋白质及多糖含量有显著增加。因此，可初步认为硝化抑制剂的施用对枸杞的种植有“减肥增效”的作用。     

Response of ammonia oxidizing microbes to the stresses of arsenic and copper in two acidic alfisols

Soil pollution by elevated heavy metals exhibits adverse effects on soil microorganisms. Ammonia oxidizing bacteria and ammonia oxidizing archaea perform ammonia oxidative processes in acidic soils. However, influence of heavy metal stress on soil ammonia oxidizers distribution and diversity is inadequately addressed. This study investigated the responses of ammonia oxidizing bacteria and archaea to heavy metals, Cu and As during short-term laboratory experiment. Two different acidic alfisols named as Rayka and Hangzhou spiked with different concentrations of As, Cu and As + Cu were incubated for 10 weeks. Significant reduction in copy numbers of archaeal-16S rRNA, bacterial-16S rRNA and functional amoA genes was observed along elevated heavy metal concentrations. Ammonia oxidizing archaea was found to be more abundant than ammonia oxidizing bacteria in all the heavy metal treatments. The potential nitrification rate significantly decreased with increasing As and Cu concentrations in the two soils examined. Denaturing gradient gel electrophoresis analysis revealed no apparent community shift for ammonia oxidizing archaea even at higher concentrations of As and Cu. Phylogenetic analysis of archaeal amoA gene from 4 clone libraries indicated that all the archaeal amoA sequences were placed within 3 distinct clusters from soil and sediment group 1.1b of Thaumarchaeota. Our results could be useful for the better understanding of the ecological effects of heavy metals on the abundance and diversity of soil ammonia oxidizers.     

Aggregate-related changes in network patterns of nematodes and ammonia oxidizers in an acidic soil

Nitrification plays a central role in global nitrogen cycle, which is affected by biological interaction between soil microfauna and microorganisms. However, the complexity of soil biotic communities made it difficult to reveal organizational principles of the community and the interactions among species. Here, we used the network analysis to decipher the interactions between nematodes and ammonia oxidizers within aggregate fractions under 10-year manure application, and examine their associations with soil variables and potential nitrification activity (PNA). Three aggregate fractions included large macroaggregates (>2000 μm, LA), small macroaggregates (250–2000 μm, SA), and inter-aggregate soil and space (<250 μm, IA). Aggregate factions showed a remarkable effect on association networks of nematodes and ammonia oxidizers. The average connectivity (avgK) and the number of edges in overall networks increased with increasing aggregate sizes, while the average geodesic distance (GD) followed the opposite trend. The LA network could be viewed as a better organized or a better operational soil food web with more functional interrelated members than the SA and IA networks. The modules related to PNA were significantly correlated and clustered together as meta-modules in networks of aggregate fractions. The role-shifts prevailed among the network members such as significant module memberships (MMs) and generalist/specialist operational taxonomic units (OTUs). A half of shared nodes were further identified as shared MMs, dominated by ammonia-oxidizing bacteria (AOB) especially for Nitrosospira cluster 3a and 10. Soil pH could explain partly the shift of module hubs in different networks, while grazing by bacterivores might account for three exclusively connecters related to Nitrososphaera clusters 1.1. The strongly coupled modules correlated positively to pH and total carbon (TC), regardless of aggregate fractions. The network analysis approach provided new insights into potential importance of network interactions between nematodes and ammonia oxidizers in soil nitrogen cycling.     

不同浓度NH_3对富营养化湖泊水体硝化作用的影响

通过室内培养试验,研究了不同浓度非离子态氨（NH3）条件下富营养化湖泊——太湖梅粱湾水体硝化作用的2个过程,即氨氧化和亚硝酸盐氧化的发生情况。结果表明,在试验设计的NH3浓度范围内,颗粒态氨氧化和自由态氨氧化速率都随着NH3浓度的升高而显著增加,同时在高浓度NH3（0.65和0.85mg/L）下,颗粒态氨氧化速率在总氨氧化速率中所占比例也显著增加。而亚硝酸盐氧化过程的发生却具有明显的阶段性,当NH3浓度从0.05增加到0.15mg/L时,自由态亚硝酸盐氧化速率有一定的降低,但是颗粒态亚硝酸盐氧化速率却显著增加,导致总亚硝酸盐氧化速率也显著上升;当NH3浓度从0.15增加到0.85mg/L,自由态亚硝酸盐氧化速率随着NH3浓度的升高而进一步降低,同时颗粒态亚硝酸盐氧化速率也随着NH3浓度的增加开始显著降低,导致总亚硝酸盐氧化速率急剧降低。     

Seasonal dynamics of mineral N pools and N-mineralization in soils under homegarden trees in South Andaman,India

Agroforestry trees are now well known to play a central role in the build up of nutrients pools and their transformations similar to that of forest ecosystem, however, information on the potential of homegarden trees accumulating and releasing nitrogen (mineralization) is lacking. The present study reports seasonal variations in pool sizes of mineral N (NH₄⁺-N and NO₃⁻-N), and net N-mineralization rate in relation to rainfall and temperature under coconut (Cocos nucifera L.), clove (Eugenia caryophyllata Thunb) and nutmeg (Myristica fragrans Houtt. Nees) trees in a coconut-spice trees plantation for two annual cycles in the equatorial humid climate of South Andaman Island of India. Concentration of NH₄⁺-N was the highest during wet season (May–October) and the lowest during post-wet season (November–January) under all the tree species. On the contrary, concentration of NO₃⁻-N was the lowest in the wet season and the highest during the post-wet season. However, concentrations of the mineral N were the highest under the nutmeg and the lowest under the coconut trees. Like the pool sizes, mean annual mineralization was the highest under the nutmeg (561 mg kg⁻¹ yr⁻¹) and the lowest under the coconut trees (393 mg kg⁻¹ yr⁻¹). Rate of mineralization was the highest during the post-wet season and the lowest during the dry season (February–April) under all the tree species. High rainfall during the wet season, however, reduced the rate of nitrification under all the tree species. The mean annual mineralization was logarithmically related with rainfall amount and mean monthly temperature.     

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]