Mitigating nitrous oxide emissions from agricultural soils by precision management

Nitrous oxide (N₂O) emissions make up a significant part of agricultural greenhouse gas emissions. There is an urgent need to identify new approaches to the mitigation of these emissions with emerging technology. In this short review four approaches to precision managements of agricultural systems are described based on examples of work being undertaken in the UK and New Zealand. They offer the opportunity for N₂O mitigation without any reduction in productivity. These approaches depend upon new sensor technology, modeling and spatial information with which to make management decisions and interventions that can both improve agricultural productivity and environmental protection.     

施氮及添加硝化抑制剂对苜蓿草地N2O排放的影响

为探究旱作紫花苜蓿(MedicagosativaL.)栽培草地氧化亚氮(N_2O)排放对施氮水平及添加硝化抑制剂的响应特征,采用传统静态箱法研究了不同施氮水平[0kg(N)·hm~(-2)(N0)、 50kg(N)·hm~(-2)(N50)、 100kg(N)·hm~(-2)(N100)和150kg(N)·hm~(-2)(N150)]以及添加硝化抑制剂双氰胺(DCD)150kg(N)·hm~(-2)(N150+DCD)对陇东苜蓿草地N_2O排放特征的影响。结果显示,监测期内N0、N50、N100和N150处理N_2O平均排放速率分别为3.5μg·m~(-2)·h~(-1)、4.1μg·m~(-2)·h~(-1)、5.0μg·m~(-2)·h~(-1)和6.1μg·m~(-2)·h~(-1),随着施氮梯度的增加, N_2O排放速率呈增加趋势。添加硝化抑制剂DCD对N_2O排放产生明显的抑制作用。与N150处理相比, N150+DCD处理下苜蓿草地N_2O平均排放速率下降50.7%, N_2O累计排放量显著降低61.6%(P0.05)。施氮对苜蓿产量没有显著影响,而N0、N50、N100和N150处理下单位苜蓿产量N_2O排放量随氮肥梯度的增加而增加,各处理分别为6.5 mg·kg~(-1)、7.8 mg·kg~(-1)、11.3 mg·kg~(-1)和12.5 mg·kg~(-1)。N_2O排放受土壤含水量影响深刻,生长季N_2O排放通量与土壤水分呈显著正相关关系(P0.05),而与土壤温度无显著相关性(P0.05)。综上,旱作紫花苜蓿栽培草地N_2O排放通量随施氮水平的增加明显增加,在相同施氮水平下添加硝化抑制剂DCD能显著抑制N_2O排放。相关研究结果对于该区域苜蓿草地合理施肥以及N_2O减排具有一定的实践指导意义。     

规模化猪舍废气复合净化系统设计与试验

为解决规模化猪舍废气排放造成的环境污染问题，设计了一种猪舍废气复合净化系统。该系统采用化学法与水洗法相结合，通过PLC（可编程逻辑控制器）控制系统实时采集净化系统内的pH值、电导率、液位和压差等动态环境数据，智能控制洗涤泵启停和电磁阀通断，自动完成供水、加酸、喷淋和排废4个工作环节。同时，控制系统采用MCGS触摸屏与PLC建立通讯，通过创建人机交互界面实现系统环境数据监测、运行状态流动显示、按需配置系统参数和报警信息输出等多种功能，实现了系统操作的人性化和过程的可视化。系统可根据实际应用中对净化效率和运行成本的要求，实现多种控制模式，均有效抑制了猪舍废气排放。试验结果表明，系统对主要污染成分氨气的平均去除率可达到85%，整体运行可靠、控制简单，经济成本量化清晰。该系统在江西某种猪场实施应用，成效显著，可为畜禽养殖环境废气净化处理的工程应用提供参考。     

外源NO及反向调控PEG胁迫下苜蓿萌发种子抗氧化酶及其同工酶动态的研究

以紫花苜蓿为材料,用一氧化氮供体硝普钠(SNP)及一氧化氮清除剂c-PTIO对苜蓿种子进行浸种处理,采用分光光度法和同工酶电泳技术来研究外源NO及反向调控对PEG胁迫下紫花苜蓿抗氧化酶活性及其同工酶的影响,并探讨NO调控苜蓿种子耐旱性的生理机制。结果表明:PEG胁迫下外施0.1 mmol·L^-1 SNP,第6天时较PEG处理POD活性降低了32.72%;第4天时SOD、CAT活性较PEG处理升高了10.48%、23.60%,有效缓解了PEG对紫花苜蓿萌发中种子的氧化损伤,提高其抗氧化能力。PEG胁迫下添加 c-PTIO抑制了苜蓿萌发期的抗氧化系统活性。从同工酶的谱带数量和强弱来看,POD同工酶各区带活力均随PEG胁迫时间的延长而增加,在第2天酶带只有1条,而第4天酶带呈现9条;SOD和CAT同工酶表达量变化不显著,但酶带强弱有一定变化,S3酶带随处理时间的延长表达量逐渐减弱;CAT同工酶谱带则一直保持2条带,无明显强弱变化。因此,外源NO在PEG胁迫下紫花苜蓿萌发中抗氧化酶快速响应并在维护氧自由基代谢平衡中起重要保护作用。     

Biochar addition mitigates nitrogen loss induced by straw incorporation and nitrogen fertilizer application

Biochar has been shown to be potentially beneficial for enhancing yields and soil properties, and diminishing nitrogen (N) losses. However, it remains unclear how biochar regulates soil carbon (C) and N to mitigate N losses induced by straw mixing with N fertilizer in dryland soils. Therefore, we investigated the effects of straw mixing (S₁), S₁ with biochar (SB) and no straw inputs (S₀), and routine urea application rates (N₁) and 70% of routine rates (N_0.7) on yields and N losses, and identify the relationship between N losses and soil C and N compounds. Results showed that N_0.7 and N₁ were suitable for the maize and wheat seasons, respectively, contributing to mitigating N losses without reducing crop yields. Moreover, in the maize season, N_0.7-SB significantly mitigated the straw-induced NH₃-N and N₂O-N emissions by 106% and 81%, respectively. In the wheat season, N₁-SB reduced the straw-induced NH₃-N and N₂O-N emissions by 35% and 66%, respectively. In addition, N_0.7-SB sharply reduced soil inorganic N (SIN) storage in the maize season. Furthermore, the NH₃-N and N₂O-N emission rates were negatively correlated with dissolved organic carbon/SIN content (0–20 cm) (DOC/SIN_0-20). N losses (N₂O-N and NH₃-N emissions and SIN storage) were positively correlated with SIN_0-20, but negatively correlated with soil organic carbon / SIN_0-20 (SOC/ SIN_0-20). This study provides further evidence that biochar with an appropriate N application rate decreased SIN_0-20 and increased DOC/SIN_0-20, thus reducing SIN storage and the straw-induced gaseous N emissions without decreasing crop yields.     

Roles of protein phosphatase 4 in down-regulation of eNOS Ser633 phosphorylation induced by palmitic acid in human umbilical vein endotheli?al cells

AIMTo investigate the roles of protein phosphatase 4 (PP4) in down-regulation of endothelial nitric oxide synthase (eNOS) Ser633 phosphorylation induced by palmitic acid (PA). METHODSHuman umbilical vein endothelial cells (HUVECs) were treated with PA at 25 μmol/L, 50 μmol/L, 100 μmol/L and 200μmol/L for 36 h, or treated with PA at 100 μmol/L for 12 h, 24 h, 36 h and 48 h. Protein phosphatase 2A (PP2A) family inhibitor fostriecin (FST, 20 nmol/L) or okadaic acid (OA, 5 nmol/L) was selected to pretreat the HUVECs for 30 min. Protein phosphatase 4 catalytic subunit (PP4c) siRNA or protein phosphatase 2A catalytic subunit (PP2Ac) siRNA was transfected into the HUVECs. The protein expression levels of of eNOS, PP4c and PP2Ac, as well as the level of eNOS Ser633 phosphorylation, were detected by Western blot. The intracellular nitric oxide (NO) content was measured by DAF-FM DA. RESULTS(1) Compared with control group, the levels of eNOS Ser633 phosphorylation were decreased in PA groups in which the HUVECs were treated with 25 μmol/L, 50 μmol/L, 100 μmol/L and 200 μmol/L PA for 36 h (P<0.05) and 100 μmol/L PA for 24 h, 36 h and 48 h (P<0.05). No significant difference in the level of total eNOS protein expression among all the groups was observed. (2) Compared with control group, both FST and OA pretreatment reversed the reduction of eNOS Ser633 phosphorylation (P<0.05) and the decrease in intracellular NO content (P<0.05) induced by PA. No significant difference in the level of total eNOS protein expression among all the groups was observed. (3) Compared with si-Control group, the PP4c protein expression was significantly reduced (P<0.05), while the level of eNOS Ser633 phosphorylation was significantly increased in si-PP4c group (P<0.05). Although the levels of PP2Ac protein expression declined significantly (P<0.05), the level of eNOS Ser633 phosphorylation remained unchanged in si-PP2Ac group. No significant differencein the level of total eNOS protein expression among all the groups was found. CONCLUSION PA significantly reduces the level of eNOS Ser633 phosphorylation and the content of NO in the HUVECs, which may be due to PA inducing the activation of the PP2A family member PP4 rather than PP2A.     

岩溶湿地和稻田的土壤酶活性与CO2和CH4排放特征

【目的】探究土地利用变化对湿地土壤酶活性和温室气体排放之间关系的影响。【方法】以会仙岩溶湿地为研究样点,以湖泊湿地和其相邻的稻田为研究对象,采用比色法和静态暗箱法分别测定水稻整个生育期内主要土壤酶的活性及CO₂和CH₄的排放,并对二者之间的关系进行分析。【结果】稻田土壤的β-葡萄糖苷酶、纤维素酶、蔗糖酶、几丁质酶、脲酶和碱性磷酸酶活性均高于湖泊湿地,高出幅度为11.8%—32.7%。稻田CO₂和CH₄排放通量分别为255.9—789.7和-0.41—1.74 mg·m^-2·h^-1,平均值分别为445.8和0.42 mg·m^-2·h^-1,低于天然湖泊湿地。与湖泊湿地相比,稻田CO₂和CH₄排放总量分别降低了22.3%和83.3%,而增温潜势（GHGs,含N₂O）降低了29.6%。相关性结果显示,CO₂排放通量与β-葡萄糖苷酶、纤维素酶、蔗糖酶和几丁质酶活性呈显著负相关关系,CH₄排放通量与6种土壤酶活性显著负相关（P<0.05）。【结论】在会仙岩溶湿地系统中,天然的湖泊湿地转变为稻田可显著提高土壤酶活性,同时降低CO₂和CH₄的排放量,有利于微生物碳利用率的提高和土壤碳的封存。     

稻田N_2O排放影响因素与减排研究进展

氧化亚氮(N_2O)是稻田生态系统中一种主要的温室气体,在全球温室效应中起着很大作用。本文从稻田N_2O的产生机制、影响稻田N_2O排放的主要因素以及稻田N_2O减排的技术措施等方面综述了稻田N_2O的研究进展,并对未来开展稻田N_2O排放研究提出了一些设想,以期为减少稻田温室气体排放和氮损失提供参考。     

基于改进VMD的离心泵空化声发射信号特征提取

针对变分模态分解算法中分解层数和惩罚因子不易确定的问题,提出一种改进变分模态分解(improved variational mode decomposition,IVMD)算法,并将其应用于离心泵空化声发射信号特征提取.应用IVMD算法时,首先根据包络熵差异系数确定变分模态分解的分解层数;然后采用人工蜂群算法优化得出惩罚因子,并将其作为变分模态分解的最佳输入参数.利用IVMD算法对仿真信号进行分析,并与集合经验模态分解结果进行比较.以60%额定流量下采集到的离心泵进口处的声发射信号为例进行IVMD计算,分析携带原信号大量信息的信号分量的频域特征及其绝对能量随离心泵空化状态变化的关系.结果表明:IVMD算法能够择优确定分解层数和惩罚因子,实现非平稳信号的自适应分解.反映离心泵空化状态的声发射信号特征频率集中在50,100 kHz及其附近.随着离心泵空化从无到有、从弱到强的变化,这2个特征频率范围信号分量绝对能量值呈“基本保持不变-减小-增大”的变化规律.     

不同灌水下限设施番茄土壤CO2排放特征及其影响因素研究

【目的】探讨不同灌水下限设施土壤CO2排放特征及其影响因素,为调控设施土壤水分和碳排放提供理论依据。【方法】在番茄生育期内采用LI-8100A土壤碳通量自动测定仪观测不同灌水下限[20 kPa(D20)、30 kPa(D30)、40 kPa(D40)]下的土壤CO2排放速率,并分析其影响因素。【结果】在番茄生育期内,不同灌水下限设施土壤CO2排放速率变化趋势基本一致,D20处理最高,平均速率为2.759μmol/(m2·s),其次是D30处理,为2.601μmol/(m2·s),D40处理最低,为2.559μmol/(m2·s)。在土壤CO2累积排放量方面,D20处理显著高于其他2个处理,而D30和D40处理之间无显著差异。就单因素模型而言,不同灌水下限处理的土壤CO2排放速率与15 cm土壤温度呈指数回归关系,且均达显著水平(P<0.05);不同灌水下限处理的土壤CO2排放速率与15 cm土壤含水率均呈显著二次回归关系(P<0.05);与单因素模型相比,土壤温度和土壤含水率的双因素复合模型(68.5%~83.8%)可以更好地解释土壤CO2排放的变化。土壤温度敏感系数Q10值在1.442~1.498之间,其中D20处理最敏感,D40处理最不敏感。相关分析结果表明,土壤CO2累积排放量与0~20 cm土层土壤有机质量、pH值、全氮量、速效磷量、速效钾量、碱解氮量和微生物量碳呈显著相关关系。采用PCA分析提取出的2个主成分累积贡献率为85.79%。【结论】灌水下限影响设施土壤CO2的排放,其中D20处理促进了设施土壤CO2的排放。