Grazing greatly reduces the temporal stability of soil cellulolytic fungal community in a steppe on the Tibetan Plateau

Excessive livestock grazing degrades grasslands ecosystem stability and sustainability by reducing soil organic matter and plant productivity. However, the effects of grazing on soil cellulolytic fungi, an important indicator of the degradation process for soil organic matter, remain less well understood. Using T-RFLP and sequencing methods, we investigated the effects of grazing on the temporal changes of cellulolytic fungal abundance and community structure in dry steppe soils during the growing months from May to September, on the Tibetan Plateau using T-RFLP and sequencing methods. The results demonstrated that the abundance of soil cellulolytic fungi under grazing treatment changed significantly from month to month, and was positively correlated with dissolved organic carbon (DOC) and soil temperature, but negatively correlated with soil pH. Contrastingly, cellulolytic fungal abundance did not change within the fencing treatment (ungrazed conditions). Cellulolytic fungal community structure changed significantly in the growing months in grazed soils, but did not change in fenced soils. Grazing played a key role in determining the community structure of soil cellulolytic fungi by explaining 8.1% of the variation, while pH and DOC explained 4.1% and 4.0%, respectively. Phylogenetically, the cellulolytic fungi were primarily affiliated with Ascomycota (69.65% in relative abundance) and Basidiomycota (30.35%). Therefore, grazing substantially reduced the stability of soil cellulolytic fungal abundance and community structure, as compared with the fencing treatment. Our finding provides a new insight into the responses of organic matter-decomposing microbes for grassland managements.     

Chemical characterization and source identification of PM2.5 in Luoyang after the clean air actions

Luoyang is a typical heavy industrial city in China, with a coal-dominated energy structure and serious air pollution. Following the implementation of the clean air actions, the physicochemical characteristics and sources of PM_2.5 have changed. A comprehensive study of PM_2.5 was conducted from October 16, 2019 to January 23, 2020 to evaluate the effectiveness of previous control measures and further to provide theory basis for more effective policies in the future. Results showed that the aerosol pollution in Luoyang in autumn and winter is still serious with the average concentration of 91.1 μg/m³, although a large reduction (46.9%) since 2014. With the contribution of nitrate increased from 12.5% to 25.1% and sulfate decreased from 16.7% to 11.2%, aerosol pollution has changed from sulfate-dominate to nitrate-dominate. High NO₃⁻/SO₄²⁻ ratio and the increasing of NO₃⁻/SO₄²⁻ ratio with the aggravation of pollution indicating vehicle exhaust playing an increasingly important role in PM_2.5 pollution in Luoyang, especially in the haze processes. Secondary inorganic ions contributed significantly to the enhancement of PM_2.5 during the pollution period. The high value of Cl⁻/Na⁺ and EC concentration indicate coal combustion in Luoyang is still serious. The top three contributor sources were secondary inorganic aerosols (33.3%), coal combustion (13.6%), and industrial emissions (13.4%). Close-range transport from the western and northeastern directions were more important factors in air pollution in Luoyang during the sampling period. It is necessary to strengthen the control of coal combustion and reduce vehicle emissions in future policies.     

Clean and effective removal of Cl(-I) from strongly acidic wastewater by PbO2

Recycling strongly acidic wastewater as diluted H₂SO₄ after contaminants contained being removed was previously proposed, however, Cl(-I), a kind of contaminant contained in strongly acidic wastewater, is difficult to remove, which severely degrades the quality of recycled H₂SO₄. In this study, the removal of Cl(-I) using PbO₂ was investigated and the involved mechanisms were explored. The removal efficiency of Cl(-I) reached 93.38% at 50℃ when PbO₂/Cl(-I) mole ratio reached 2:1. The identification of reaction products shows that Cl(-I) was oxidized to Cl₂, and PbO₂ was reduced to PbSO₄. Cl₂ was absorbed by NaOH to form NaClO, which was used for the regeneration of PbO₂ from the generated PbSO₄. Cl(-I) was removed through two pathways, i.e., surface oxidation and •OH radical oxidation. •OH generated by the reaction of PbO₂ and OH⁻ plays an important role in Cl(-I) removal. The regenerated PbO₂ had excellent performance to remove Cl(-I) after six-time regeneration. This study provided an in-depth understanding on the effective removal of Cl(-I) by the oxidation method.     

An integrative analysis of miRNA and mRNA expression in the brains of Alzheimer's disease transgenic mice after real-world PM2.5 exposure

Fine particulatematter (PM2.5) is associated with increased risks of Alzheimer’s disease (AD),yet the toxicologicalmechanisms of PM2.5 promoting AD remain unclear. In this study,wildtype and APP/PS1 transgenic mice (AD mice) were exposed to either filtered air (FA) or PM2.5 for eight weeks with a real-world exposure system in Taiyuan, China (mean PM2.5 concentration in the cage was 61 μg/m3). We found that PM2.5 exposure could remarkably aggravate AD mice’s ethological and brain ultrastructural damage, along with the elevation of the pro-inflammatory cytokines (IL-6 and TNF-α), Aβ-42 and AChE levels and the decline of ChAT levels in the brains. Based on high-throughput sequencing results, some differentially expressed (DE) mRNAs and DE miRNAs in the brains of AD mice after PM2.5 exposure were screened.Using RT-qPCR, seven DEmiRNAs (mmu-miR-193b-5p, 122b-5p, 466h-3p, 10b-5p, 1895, 384–5p, and 6412) and six genes (Pcdhgb8, Unc13b, Robo3, Prph, Pter, and Tbata) were evidenced the and verified. Two miRNA-target gene pairs (miR-125b-Pcdhgb8 pair and miR-466h-3p-IL-17Rα/TGF-βR2/Aβ-42/AChE pairs) were demonstrated that they were more related to PM2.5-induced brain injury. Results of Gene Ontology (GO) pathways and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways predicted that synaptic and postsynaptic regulation, axon guidance, Wnt, MAPK, and mTOR pathways might be the possible regulatory mechanisms associated with pathological response. These revealed that PM2.5- elevated pro-inflammatory cytokine levels and PM2.5-altered neurotransmitter levels in AD mice could be the important causes of brain damage and proposed the promising miRNA andmRNA biomarkers and potentialmiRNA-mRNA interaction networks of PM2.5-promoted AD.     

长江河口潮区界溶解态无机氮磷的通量

利用长江河口潮区界大通站的水质资料探讨了溶解态无机氮、磷浓度和通量的变化。结果表明：NO3^-,NH4^ ,DIN的浓度随季节变化不明显，而NO2^-,PO4^3-的浓度是枯季较高、洪季较低：1963－1984年间，NO3^-,NO2^-,NH4^ 、DIN和PO4^3-的年平均浓度分别为17．1、0．43、7．1、24．7、0．19μmol/L，平均通量分别为33．1、0．51、3．67、10．5和0．54kg/s，平均年通量分别为104.44,1.61,11.56,33.1和1.70万t；溶解态无机氮、磷的通量由于受到流量的影响而在年内分配不均匀，其中NO3^-,NO^-,NH4^ DIN和PO4^3-在洪季的通量分别为全年的72．9％，58．1％、69．2％、71％和68．3％；NO3^-,NO2^-，DIN年通量的总变化趋势是稳步上升，且与氮肥使用量成高度显著的正线性相关。1998年，NO3^-,NO2^-,NH4^ 和PO4^3-的年通量分别为477．3，1．356、3．097和2．296万t。     

中国主粮作物生物炭产量效应的Meta分析

为定量评估生物炭对主粮作物产量的影响,收集了公开发表的116篇相关文献,共866对数据,采用Meta分析法定量分析了生物炭对我国主粮作物产量的影响及其影响因子,同时构建结构方程模型(SEM)进一步解释了因子间的交互关系.结果表明,与不施用生物炭相比,生物炭施用后可改善主粮田土壤理化性质,提高主粮作物产量,平均增产率为8.77%.其中,当生物炭pH为7～8时,平均增产率最大,可达26.49%;其C/N<60时,平均增产率为13.73%,显著高于C/N≥60的平均增产率.将生物炭施入酸性或中性土壤中,更能发挥其增产效应.当施炭量为10～20 t·hm^-2时,小麦和玉米的平均增产率最大;施炭量为15～25 t·hm^-2时,水稻平均增产率最大.但是,不同施炭水平的水稻增产率相近,可考虑损失部分产量,适当减施以兼顾经济效益.此外,生物炭增产效应会随施用年限增加而不断减弱,一般3 a后增产不显著.SEM表明生物炭施用量不仅直接影响主粮作物产量,还通过改善土壤肥力间接影响主粮作物产量,而生物炭C/N和pH仅通过改善土壤肥力影响主粮作物产量.因此,今后...     

鄱阳湖典型湿地土壤-植物系统重金属沿湖向富集及迁移转换特征分析

特殊的水文节律导致鄱阳湖形成面积较大的周期性环湖消落带,大量的营养物质和污染物极易在消落带中发生沉积,选择鄱阳湖典型河口型消落带,沿湖向按照不同植被类型设置采样断面,采集土壤-沉积物和优势植物样品(不同组织),分析不同时空下土壤/沉积物和优势植物体中重金属(Cr、 Ni、 Cu、 Zn、 As、 Cd、 Sb和Pb)的含量特征及富集水平,并进一步分析土壤-植物系统中重金属的迁移转换特征,揭示鄱阳湖典型消落带土壤-植物系统重金属迁移转换的影响因素.结果表明,消落带土壤/沉积物重金属含量沿湖向表现为明显的分布规律,呈现为先升高后降低的分布特征,即季节性淹水带土壤/沉积物是重金属富集的主要地带,Cu、 Pb和Sb在土壤/沉积物中的富集水平较高,其中Cu和Sb为显著富集(EF>5);潜在生态风险结果表明季节性淹水带总体处于轻度生态危害水平(70≤RI<140),显著高于淹水带和未淹水带.消落带沿湖向带状分布的优势植物体中重金属含量并未表现出显著的空间分布特征,但表现为显著的季节差异,生长季(4月)优势植物体内重金属具有较高的含量水平,重金属不同介质和组织的分配大体遵循基质>根...     

ASD-ICP-MS联合快速测定《土壤环境质量标准》中的金属元素简

采用HNO3-HCl-HF-HClO4体系在全自动消解仪消解土壤样品,以50.0μg/L的Rh作内标,用电感耦合等离子体-质谱仪同时测定《土壤环境质量标准》的7种元素Cd、 As、Cu、 Pb、 Cr、 Zn、 Ni。结果表明,土壤标样的测定值与标准值吻合,各元素对应的检出限和相对标准偏差分别为： Cd：0.002 mg/kg和3.6%, As：0.05 mg/kg和5.5%, Cu：0.10 mg/kg和2.9%, Pb：0.18 mg/kg和4.7%, Cr：0.25 mg/kg和2.2%, Zn：0.40 mg/kg和3.4%, Ni：0.20 mg/kg和3.8%。该方法简便快捷,灵敏度高,重现性好。