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Long-term warming does not affect soil ecoenzyme activity and original microbial nutrient limitation on the Qinghai-Tibet Plateau

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Soil Ecology Letters 2022年第4期4卷 383-398页

作者： Yuanze Li Huakun Zhou Wenjing Chen Yang Wu Lei Lei Qiao ZiRan Yan guobin liu Sha Xue State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water ConservationNorthwest A&F UniversityYangling 712100China Qinghai Provincial Key Laboratory of Restoration Ecology in Cold Regions Northwest Institute of Plateau BiologyChinese Academy of SciencesXining 810000China State Key Laboratory of Plateau Ecology and Agriculture Qinghai UniversityXining 810000China Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry Water ResourcesYangling 712100China College of Natural Resources and Environment Northwest A&F UniversityYangling 712100China

Microbes play an important role in the carbon cycle and nutrient flow of the soil ecosystem.However,the response of microbial activities to long-term warming over decades is poorly understood.To determine how warming changes ecoenzyme activity and microbial nutrient limitation,we conducted a long-term,21 years,experiment,on the Qinghai–Tibet Plateau.We selected typical grass-and shrub-covered plots,used fiberglass open-top chambers(OTCs)to raise the temperature,conducted soil sampling at different depths,studied the response of nutrient-acquiring enzyme activity and stoichiometry,and conducted vector analysis of stoichiometry.Our results showed that long-term warming did not have a notable effect on the activity of nutrient-acquiring enzymes or enzymatic stoichiometry.However,Spearman correlation analysis indicated a significant and positive correlation between ecoenzyme activity and the available nutrients and microbial biomass in soil.Vector analysis of stoichiometry showed phosphorus limitation for all soil microbes at different depths,regardless of whether the soil experienced warming.These changes in enzymatic stoichiometry and vector analysis suggested that microbial nutrient limitation was not alleviated substantially by long-term warming,and warming did not considerably affect the stratification of microbial nutrient limitation.Our research has also shown that long-term warming does not significantly change soil ecoenzyme activity and original microbial nutrient limitation at different soil depths within the OTUsʼimpact range.These results could help improve understanding of microbial thermal acclimation and response to future long-term global warming.

关键词： Global warming Ecoenzymatic stoichiometry Microbial nutrient limitation Thermal acclimation Qinghai-Tibet Plateau

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Influenza A virus use of BinCARD1 to facilitate the binding of viral NP to importinα7 is counteracted by TBK1-p62 axis-mediated autophagy

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Cellular & Molecular Immunology 2022年第10期19卷 1168-1184页

作者： Xuyuan Wang Li Jiang Guangwen Wang Wenjun Shi Yuzhen Hu Bo Wang Xianying Zeng guobin Tian Guohua Deng Jianzhong Shi Liling liu Chengjun Li Hualan Chen College of Veterinary Medicine Gansu Agricultural UniversityLanzhou730070China Guangdong Laboratory for Lingnan Modern Agriculture Guangzhou510642China State Key Laboratory of Veterinary Biotechnology Harbin Veterinary Research InstituteChinese Academy of Agricultural SciencesHarbin150069China

As a major component of the viral ribonucleoprotein(vRNP)complex in influenza A virus(IAV),nucleoprotein(NP)interacts with isoforms of importinαfamily members,leading to the import of itself and vRNP complex into the nucleus,a process pivotal in the replication cycle of IAV.In this study,we found that BinCARD1,an isoform of Bcl10-interacting protein with CARD(BinCARD),was leveraged by IAV for efficient viral replication.BinCARD1 promoted the nuclear import of the vRNP complex and newly synthesized NP and thus enhanced vRNP complex activity.Moreover,we found that BinCARD1 interacted with NP to promote NP binding to importinα7,an adaptor in the host nuclear import pathway.However,we also found that BinCARD1 promoted RIG-I-mediated innate immune signaling by mediating Lys63-linked polyubiquitination of TRAF3,and that TBK1 appeared to degrade BinCARD1.We showed that BinCARD1 was polyubiquitinated at residue K103 through a Lys63 linkage,which was recognized by the TBK1-p62 axis for autophagic degradation.Overall,our data demonstrate that IAV leverages BinCARD1 as an important host factor that promotes viral replication,and two mechanisms in the host defense system are triggered—innate immune signaling and autophagic degradation—to mitigate the promoting effect of BinCARD1 on the life cycle of IAV.

关键词： Influenza A virus BinCARD1 TRAF3 TBK1 p62

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Spatial Heterogeneity of Marine Environment Changes:A Case Study in Laizhou Bay and Its Adjacent Waters,China

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Journal of Ocean University of China 2021年第1期20卷 111-123页

作者： WANG Youxiao YU Ge HU guobin liu Dahai College of Environmental Science and Engineering Ocean University of ChinaQingdao 266100China Key Laboratory of Marine Environment and Ecology Ministry of EducationQingdao 266100China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Marine Life Sciences Ocean University of ChinaQingdao 266003China First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China

Temporal and spatial heterogeneity identifications of marine environment and its changes have great significances in marine spatial planning and offshore pollution control.In this study,considering the integration of marine ecological environment and sea-land interaction,we built a spatialized evaluation model named Marine Environment Change Spatial Assessment(MECSA)to quantify the marine environment status and changes.In MECSA,we applied the geospatial model and the pressure-state-response(PSR)model for processing and integrating evaluation indicators.A case study in the Laizhou Bay showed that the marine environment quality was generally in a declining state from 2009 to 2015.In 2015,the Marine Environment Index(MEI)had decreased by 0.1 compared with 2009,although the two years all reached a‘Good'level.The spatial MEI layers of the two years showed a same distribution:the southwestern part was in poorer status,with a fan ring shape gradually getting better to the northeast.The Marine Organisms Response Index(MORI)contributed the most to the MEI.Therefore,future marine environmental assessment and spatial planning should focus on the identification the marine environment with its changes from the perspective of spatial heterogeneity and systemicity.Based on single indicators and comprehensive evaluation results,we can propose spatially targeted policies and recommendations scientifically.

关键词： marine environment quality spatial heterogeneity PSR Laizhou Bay

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烯烃嵌段共聚物的合成方法及应用

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化工技术与开发 2024年第1期53卷 61-66页

作者：任悦康文倩高艳刘志琴王福善于国滨王雄中国石油石油化工研究院兰州化工研究中心甘肃兰州730060 中国石油兰州石化公司甘肃兰州730060

烯烃嵌段共聚物是近年来新材料领域的热门研究方向,独特的嵌段结构使其具有更优异的性能,应用范围更广,商业价值较高。本文综述了热塑性弹性体OBC的合成方法及发展现状,以及在不同领域中的应用。

关键词：烯烃嵌段共聚物性能链穿梭加工应用

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Using the EMD Method to Determine Fault Criterion for Medium-low Pressure Gas Regulators

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Journal of Thermal Science 2015年第6期24卷 557-561页

作者： HAO Xuejun liu Qiang YANG guobin DU Yi Beijing University of Civil Engineering and Architecture

By extracting the outlet pressure data of gas regulators,this paper uses the EMD toolbox of the MATLAB software,which can perform data decomposition and the Hilbert-Huang Transform to find the rules with fault data.Ev... 详细信息

关键词：燃气调压器故障判据中低压 EMD方法 MATLAB软件应用希尔伯特变换压力数据

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基于Attention机制优化CNN-GRU混合神经网络的短期负荷预测技术

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电工技术 2024年第9期 20-23页

作者：刘会岳东明苗光尧王乐乐王国彬朱慧娴国网宁夏营销服务中心-国网宁夏计量中心宁夏银川750002 北京清软创新科技股份有限公司北京100000

电力系统负荷预测实质是对电力市场需求的预测,短期电力负荷预测是电力部门的重要工作之一。目前主要的负荷预测方法有传统预测、灰色预测、混沌理论预测、智能技术预测、优选组合预测等,其中智能预测中最典型的就是人工神经网络。人工... 详细信息

电力系统负荷预测实质是对电力市场需求的预测,短期电力负荷预测是电力部门的重要工作之一。目前主要的负荷预测方法有传统预测、灰色预测、混沌理论预测、智能技术预测、优选组合预测等,其中智能预测中最典型的就是人工神经网络。人工神经网络是一个极其复杂的非线性动力学系统。它的自学习功能对预测有着重要的意义,能通过学习历史负荷数据来反映出输入变量和输出变量之间的非线性关系。由于很多因素都会对电力负荷造成影响,因此可以把神经网络算法引用到负荷预测中,提高电力负荷的预测精度。基于宁夏电网短期电力负荷预测的实际需求,提出了一种基于Attention机制优化CNN-GRU混合神经网络的短期负荷预测技术。该技术通过引入Attention机制对CNN-GRU模型进行改进,有效提升了预测精度和可解释性。在宁夏电网实际数据集上进行的仿真实验表明所提出的模型具有较高的预测准确性和可靠性。

关键词：短期负荷预测卷积神经网络门控循环单元注意力机制

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Application of a microseismic monitoring system in deep mining

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Journal of University of Science and Technology Beijing 2007年第1期14卷 6-8页

作者： Chengxiang Yang Zhouquan Luo guobin Hu Xiaoming liu School of Resources and Safety Engineering Central South University Changsha 410083 China

A microseismic monitoring system was used in the Donggua Shan underground copper mine, and its application was introduced. The spacial distribution of the seismic event was monitored effectively during mining with this system. The distribution of the seismic intensity in different time periods and in the different mining districts was obtained via the clustering analysis of the monitored results, and the different intensity concentration districts of seismicity were compartmentalized. The various characteristics and waveforms of different vibrations in the underground mine were revealed with the help of the micro-seismic monitoring system. It was proved that the construction and application of the micro-seismic monitoring system in the mine not only realized the continuous monitoring of seismicity in the deep mine, but also settled an this system.

关键词： microseismicity monitoring event deep mining important foundation for further studies on hazard prediction, based on

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基于模糊神经网络的一体化监测设备可靠性评价

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现代矿业 2024年第3期40卷 230-234页

作者：樊柄宏刘清周国彬徐仁山曾梓琪程占括江西省地质局水文地质大队南昌工程学院水利与生态工程学院

为了实现对一体化监测设备的可靠性综合评价,基于T-S模糊神经网络的方法,以时效性、粗差占比、采样间隔、误报次数4个指标作为输入向量,利用T-S模糊系统的数据处理能力、神经网络的非线性拟合能力及MATLAB软件编程,构建一体化监测设备... 详细信息

为了实现对一体化监测设备的可靠性综合评价,基于T-S模糊神经网络的方法,以时效性、粗差占比、采样间隔、误报次数4个指标作为输入向量,利用T-S模糊系统的数据处理能力、神经网络的非线性拟合能力及MATLAB软件编程,构建一体化监测设备的综合评价模型。将训练好的T-S模糊神经网络模型与BP神经网络模型同时用于6组监测设备的预测,从数值模拟与应用的情况可以看出,普适型设备略强于一体化监测设备,与实际情况相符。该方法在一体化监测设备的评价方面具有可行性和实用性,可以作为该设备在实践应用过程中可靠性的依据。

关键词：一体化监测设备 T-S模糊系统神经网络可靠性评价

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Fractal features of soil profiles under different land use patterns on the Loess Plateau, China

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Journal of Arid Land 2014年第5期6卷 550-560页

作者： Lie XIAO Sha XUE guobin liu Chao ZHANG State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water ConservationNorthwest A&F University Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry of Water Resources

Fractal theory is becoming an increasingly useful tool to describe soil structure dynamics for a better understanding of the performance of soil systems. Changes in land use patterns significantly affect soil physical, chemical and biological properties. However, limited information is available on the fractal characteristics of deep soil layers under different land use patterns. In this study, the fractal dimensions of particle size distribution（PSD） and micro-aggregates in the 0–500 cm soil profile and soil anti-erodibility in the 0–10 cm soil profile for 10 typical land use patterns were investigated in the Zhifanggou Watershed on the Loess Plateau, China. The 10 typical land use patterns were： slope cropland, two terraced croplands, check-dam cropland, woodland, two shrublands, orchard, artificial and natural grasslands. The results showed that the fractal dimensions of PSD and micro-aggregates were all significantly influenced by soil depths, land use patterns and their interaction. The plantations of shrubland, woodland and natural grassland increased the amount of larger micro-aggregates, and decreased the fractal dimensions of micro-aggregates in the 0–40 cm soil profile. And they also improved the aggregate state and aggregate degree and decreased dispersion rate in the 0–10 cm soil profile. The results indicated that fractal theory can be used to characterize soil structure under different land use patterns and fractal dimensions of micro-aggregates were more effective in this regard. The natural grassland may be the best choice for improving soil structure in the study area.

关键词： fractal dimension anti-erodibility soil profile land use pattern Loess Plateau

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Influence of vegetation parameters on runoff and sediment characteristics in patterned Artemisia capillaris plots

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Journal of Arid Land 2014年第3期6卷 352-360页

作者： GuanHua ZHANG guobin liu PingCang ZHANG Liang YI Department of Soil and Water Conservation Changjiang River Scientific Research Institute State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry of Water Resources Institute of Soil and Water Conservation Northwest A&F University Hubei Academy of Environmental Sciences

Vegetation patterns are important in the regulation of earth surface hydrological processes in arid and semi-arid areas. Laboratory-simulated rainfall experiments were used at the State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Yangling, northwestern China, to quantify the effects of Artemisia capillaris patterns on runoff and soil loss. The quantitative relationships between runoff/sediment yield and vegetation parameters were also thoroughly analyzed using the path analysis method for identifying the reduction mechanism of vegetation on soil erosion. A simulated rainfall intensity of 90 mm/h was applied on a control plot without vegetation （Co） and on the other three different vegetation distribution patterns： a checkerboard pattern （CP）, a banded pattern perpendicular to the slope direction （BP）, and a single long strip parallel to the slope direction （LP）. Each patterned plot received two sets of experiments, i.e. intact plants and roots only, respectively. All treatments had three replicates. The results showed that all the three other different patterns （CP, BP and LP） of A. capillaris could effectively reduce the runoff and sediment yield. Compared with Co, the other three intact plant plots had a 12%-25% less runoff and 58%-92% less sediment. Roots contributed more to sediment reduction （46%-70%）, whereas shoots contributed more to runoff reduction （57%-81%）. BP and CP exhibited preferable controlling effects on soil erosion compared with LP. Path analysis indicated that root length density and plant number were key parameters influencing runoff rate, while root surface area density and root weight density were central indicators affecting sediment rate. The results indicated that an appropriate increase of sowing density has practical significance in conserving soil and water.

关键词： arid and semi-arid areas Artemisia capillaris patches runoff and sediment roots and shoots vegetation parameters

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