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High nitrogen fertilizer input enhanced the microbial network complexity in the paddy soil

Soil Ecology Letters 2024年第2期6卷 97-109页

作者： Yanan Chen Yan Li Tianyi Qiu Haoran He Ji Liu Chengjiao Duan yongxing cui Min Huang Chunyan Wu Linchuan Fang The Research Center of Soil and Water Conservation and Ecological Environment Chinese Academy of Sciences and Ministry of EducationYangling712100China State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water Conservation CAS and MWRYangling712100China University of Chinese Academy of Sciences Beijing100049China Institute of Environment Resource and Soil Fertilizer Zhejiang Academy of Agricultural SciencesHangzhou310021China College of Natural Resources and Environment Northwest A&F UniversityYangling712100China Hubei Province Key Laboratory for Geographical Process Analysis and Simulation Central China Normal UniversityWuhan430079China Department of Ecohydrology Leibniz Institute of Freshwater Ecology and Inland FisheriesBerlin12587Germany Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing100871China College of Resources and Environmental Engineering Wuhan University of TechnologyWuhan430070China CAS Center for Excellence in Quaternary Science and Global Change Xi’an710061China

N fertilizer altered bacterial community compositions by changing soil nutrients.•Bacterial ammonia oxidation became predominated with the increasing N rate.•Excessive N input caused the information of a more complex microbial network.•Intensified microbial competition by excessive N was due to negative link ***(N)fertilization drives the structure and function of soil microbial communities,which are crucial for regulating soil biogeochemical cycling and maintaining ecosystem *** the N fertilizer effects on soil microbial composition and diversity have been widely investigated,it is generally overlooked that ecosystem processes are carried out via complex associations among microbiome ***,we examined the effects of five N fertilization levels(0,135,180,225,and 360 kg N ha−1)on microbial co-occurrence networks and key functional taxa such as ammonia-oxidizers in paddy *** results showed that N addition altered microbial community composition,which were positively related to soil total N and available phosphorus(P)*** abundance of ammonia-oxidizing archaea(AOA)significantly decreased after N addition,whereas ammonia-oxidizing bacteria(AOB)increased in N360 *** with low-N group(N0 and N135),the high-N group(N225 and N360)shaped more complex microbial webs and thus improved the stability of the microbial *** least squares path modeling further revealed that N fertilizer had a higher effect on microbial network complexity in the high-N group(0.83)than the low-N group(0.49).Although there were more positive links across all microbial networks,the proportion of negative links significantly increased in the high-N network,suggesting that excess N addition aggravated the competition among microbial *** these interactions between microbial communities and N fertilization advances our understanding of biogeochemical processes in paddy soils and their effects on nutrient supply to

关键词： nitrogen fertilizer paddy soil co-occurrence network microbial interaction

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Exogenous nitrogen input skews estimates of microbial nitrogen use efficiency by ecoenzymatic stoichiometry

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Ecological Processes 2023年第3期12卷 189-195页

作者： Lifei Sun Daryl L.Moorhead yongxing cui Wolfgang Wanek Shuailin Li Chao Wang CAS Key Laboratory of Forest Ecology and Management Institute of Applied Ecology Chinese Academy of Sciences Department of Environmental Sciences University of Toledo Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University Division of Terrestrial Ecosystem Research Center of Microbiology and Environmental Systems Science University of Vienna

Background Ecoenzymatic stoichiometry models（EEST） are often used to evaluate microbial nutrient use efficiency, but the validity of these models under exogenous nitrogen（N） input has never been clarified. Here, we investigated the effects of long-term N addition（as urea） on microbial N use efficiency（NUE）, compared EEST and18O-labeling methods for determining NUE, and evaluated EEST's theoretical assumption that the ratios of standard ecoenzymatic activities balance resource availability with microbial *** We found that NUE estimated by EEST ranged from 0.94 to 0.98. In contrast, estimates of NUE by the18O-labeling method ranged from 0.07 to 0.30. The large differences in NUE values estimated by the two methods may be because the sum of β-N-acetylglucosaminidase and leucine aminopeptidase activities in the EEST model was not limited to microbial N acquisition under exogenous N inputs, resulting in an overestimation of microbial NUE by EEST. In addition, the acquisition of carbon by N-acquiring enzymes also likely interferes with the evaluation of NUE by *** Our results demonstrate that caution must be exercised when using EEST to evaluate NUE under exogenous N inputs that may skew standard enzyme assays.

关键词： Extracellular enzyme Resource allocation Nitrogen addition Microbial metabolism limitation Isotope labeling

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How the development of barren land into orchards affects soil ecosystem in Tibet,China

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Pedosphere 2022年第4期32卷 616-628页

作者： Shuailin LI Shuo WANG Xiuli ZENG yongxing cui Wantai YU Qiang MA Institute of Applied Ecology Chinese Academy of SciencesShenyang 110016China Institute of Vegetables Tibet Academy of Agricultural and Animal Husbandry SciencesLhasa 850032China Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100871China

Fruit production is an important strategy for alleviating poverty on the Tibetan Plateau and leads to the conversion of natural barren land into *** study aimed to understand how the conversion of barren land to peach(Prunus persica)orchards affects soil nutrients,heavy metals,and fungal communities in the 0–40 cm profile(at 20 cm intervals)in an experiment including three treatments,barren land(BL),peach orchards planting for 4 years(Y4),and peach orchards planting for 10 years(Y10).Results of the experiment showed that compared with BL,Y4 reduced the availability of some macronutrients(N and K)and micronutrients(Fe and Mn)due to the exclusive application of chemical fertilizer at the seedling ***,Y10,which included six years of green cultivation management,using a combination of sheep manure and chemical fertilizer as well as alfalfa(Medicago sativa Linn)intercropping,effectively improved soil macronutrients,but did not enhance the availability of Fe and *** the investigated heavy metals(As,Hg,Pb,Cr,and Cd)in both the Y4 and Y10 soils were found to pose a low risk to food safety and soil environment,Hg,Cr,and As tended to accumulate in the subsoil(20–40 cm).Furthermore,the variations in the fungal community composition and functional groups were mainly driven by the interaction effects of macronutrients,micronutrients,and heavy metals,but their independent contribution to specific key functional groups cannot be *** example,Y4 and Y10 decreased the relative abundance of soil saprotrophic and lichenized fungi,mainly due to the loss of micronutrients(Fe and Mn).However,as a result of macronutrient input and dung saprotrophic fungi enrichment,orchard soils promoted the growth of pathogens that play critical roles in fungal co-occurrence *** findings indicate that supplementation with N or K fertilizer or manure at the seedling stage and fertilizers rich in Fe and Mn throughout the growth period would be beneficial

关键词： co-occurrence network fungal community function heavy metals soil nutrients Tibetan Plateau

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Soil microbial respiration is regulated by stoichiometric imbalances: Evidence from a humidity gradient case

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Pedosphere 2023年第6期33卷 905-915页

作者： Jiwei LI Jiangbo XIE Jianzhao WU yongxing cui Lingbo DONG Yulin LIU Xuying HAI Yan LI Zhouping SHANGGUAN Kaibo WANG Changhui PENG Lei DENG State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau College of Soil and Water Conservation Science and Engineering(Institute of Soil and Water Conservation)Northwest A&F UniversityYangling 712100China Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry of Water ResourcesYangling 712100China State Key Laboratory of Subtropical Silviculture Zhejiang A&F UniversityLin'an 311300China Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100871China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Loess and Quaternary Geology Institute of Earth EnvironmentChinese Academy of SciencesXi'an 710061China Center of CEF/ESCER Department of Biological ScienceUniversity of Quebec at MontrealMontreal H3C 3P8Canada

Humidity not only affects soil microbial respiration(SMR) directly, but, indirectly by regulating the availability of soil water and nutrients. However,the patterns of direct and indirect effects of humidity on SMR over large precipitation gradients remain unclear, limiting our understanding of the effects of precipitation changes on soil C cycle. Here, we investigated the relationships among humidity, soil nutrients, and SMR by identifying stoichiometric imbalances, microbial elemental homeostasis, and microbial C use efficiency along a precipitation gradient at a continental scale. The relationship between SMR and humidity index(HI) corresponded to a Richard’s curve with an inflection point threshold value of approximately 0.7. Soil microbial respiration increased with increasing humidity in drier areas(HI 0.7). Soil microbial communities regulated their enzyme production to maintain a strong stoichiometric homeostasis in drier areas;enzyme production, microbial biomass, and threshold elemental ratios were non-homeostatic under P limitation in wetter areas, which further contributed to the increase in SMR. Our results identified a moisture constraint on SMR in drier areas and highlighted the importance of nutrient(especially for P) limitations induced by humidity in regulating SMR in wetter areas. Understanding the modulation of SMR via soil enzyme activity may improve the prediction of soil C budget under future global climate change.

关键词： carbon use efficiency ecological stoichiometry microorganisms nutrient limitations precipitation soil enzyme activities stoichiometric homeostasis

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Exogenous nitrogen input skews estimates of microbial nitrogen use efficiency by ecoenzymatic stoichiometry

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Ecological Processes 2023年 625-631页

Background Ecoenzymatic stoichiometry models（EEST） are often used to evaluate microbial nutrient use efficiency,but the validity of these models under exogenous nitrogen（N） input has never been clarified. Here, we investigated the effects of long-term N addition（as urea） on microbial N use efficiency（NUE）, compared EEST and18O-labeling methods for determining NUE, and evaluated EEST's theoretical assumption that the ratios of standard ecoenzymatic activities balance resource availability with microbial *** We found that NUE estimated by EEST ranged from 0.94 to 0.98. In contrast, estimates of NUE by the18O-labeling method ranged from 0.07 to 0.30. The large differences in NUE values estimated by the two methods may be because the sum of β-N-acetylglucosaminidase and leucine aminopeptidase activities in the EEST model was not limited to microbial N acquisition under exogenous N inputs, resulting in an overestimation of microbial NUE by EEST. In addition, the acquisition of carbon by N-acquiring enzymes also likely interferes with the evaluation of NUE by *** Our results demonstrate that caution must be exercised when using EEST to evaluate NUE under exogenous N inputs that may skew standard enzyme assays.

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Evaluation methods of heavy metal pollution in soils based on enzyme activities:A review

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Soil Ecology Letters 2021年第3期3卷 169-177页

作者： yongxing cui Xia Wang Xiangxiang Wang Xingchang Zhang Linchuan Fang State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water Conservation CAS and MWRYangling 712100China University of Chinese Academy of Sciences Beijing 100049China College of Natural Resources and Environment Northwest A&F UniversityYangling 712100China CAS Center for Excellence in Quaternary Science and Global Change Xi’an 710061China

Soil enzyme activities have been suggested as suitable indicators for the evaluation of metal contamination because they are susceptible to microbial changes caused by heavy metal stress and are strictly related to soil nutrient ***,there is a growing lack of recognition and summary of the historic advancements that use soil enzymology as the proposal of evaluation ***,we review the most common methods of heavy metal pollution evaluation based on enzyme activities,which include single enzyme index,combined enzyme index,enzyme-based functional diversity index,microbiological stress index,and ecoenzymatic stoichiometry *** review critically examines the advantages and disadvantages of these methods based on their execution complexity,performance,and ecological implications and gets a glimpse of avenues to come to improved future evaluation *** based on a single enzyme are variable and have no consistent response to soil heavy metals,and the following three composite indices are characterized by the loss of many critical microbial processes,which thus not conducive to reflect the effects of heavy metals on soil *** the dexterity of ecoenzymatic stoichiometry methods in reflecting changes in soil functions under heavy metal stress,we propose that microbial metabolic limitations quantified by ecoenzymatic stoichiometry models could be promising indicators for enhancing the reality and acceptance of results and further improving the potential for actual utility in environmental decision-making.

关键词： Soil heavy metals Pollution assessment Microbial metabolism Enzyme activities Ecoenzymatic stoichiometry Biological indicators

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Heavy metal pollution increases soil microbial carbon limitation:Evidence from ecological enzyme stoichiometry

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Soil Ecology Letters 2021年第3期3卷 230-241页

作者： Mingzhe Xu yongxing cui Jingzi Beiyuan Xia Wang Chengjiao Duan Linchuan Fang State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water ConservationChinese Academy of SciencesMinistry of Water ResourcesYangling 712100China University of Chinese Academy of Sciences Beijing 100049China School of Environment and Chemical Engineering Foshan UniversityFoshan 528000China CAS Center for Excellence in Quaternary Science and Global Change Chinese Academy of SciencesXi’an 710061China

Heavy metals can exist in soil for a long time and seriously affect soil *** coexistence of various heavy metal pollutants leads to biotoxicity and alters the activity of *** microbial metabolism plays an important role in nutrient cycling and biochemical processes of soil ***,the effects of heavy metal contamination on microbial metabolism in soil are still *** study aims to reveal the responses of microbial metabolic limitation to heavy metals using extracellular enzyme stoichiometry,and further to evaluate the potential impacts of heavy metal pollution on soil nutrient *** results showed that soil microbial metabolism reflected by the ecoenzymatic activities had a significant response to soil heavy metals *** metabolism was limited by soil carbon(C)and phosphorus(P)under varied heavy metal levels,and the increase of heavy metal concentration significantly increased the microbial C limitation,while had no effect on microbial P *** may increase the energy investment in metabolism to resist heavy metal stress and thus induce C *** results suggest that energy metabolism selected by microorganisms in response to long-term heavy metal stress could increase soil C release,which is not conducive to the soil C *** study emphasizes that ecoenzymatic stoichiometry could be a promising methodology for evaluating the toxicity of heavy metal pollution and its ecological effects on nutrient cycling.

关键词： Heavy metal contamination Microbial metabolisms Ecoenzymatic stoichiometry Soil nutrient limitation

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Number of Solitons Emerged in the Initial Profile of Shallow Water Using Convolutional Neural Networks

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Journal of Systems Science & Complexity 2024年第2期37卷 463-479页

作者： WANG Zhen cui Shikun School of Mathematical Sciences Dalian University of TechnologyDalian 116024China School of Mathematical Sciences Beihang UniversityBeijing 100191China

The soliton resolution conjecture proposes that the initial value problem can evolve into a dispersion part and a soliton ***,the problem of determining the number of solitons that form in a given initial profile remains unsolved,except for a few specific *** this paper,the authors use the deep learning method to predict the number of solitons in a given initial value of the Korteweg-de Vries(KdV)*** leveraging the analytical relationship between Asech^(2)(x)initial values and the number of solitons,the authors train a Convolutional Neural Network(CNN)that can accurately identify the soliton count from spatio-temporal *** trained neural network is capable of predicting the number of solitons with other given initial values without any additional *** extensive calculations,the authors demonstrate the effectiveness and high performance of the proposed method.

关键词： Convolutional neural network deep learning method KdV equation soliton

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Multi-Sensor Fusion Adaptive Estimation for Nonlinear Under-observed System with Multiplicative Noise

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Chinese Journal of Electronics 2024年第1期33卷 282-292页

作者： Yongpeng cui Xiaojun SUN School of Electronic Engineering Heilongjiang University Key Laboratory of Information Fusion Estimation and Detection

The adaptive fusion estimation problem was studied for the multi-sensor nonlinear under-observed systems with multiplicative noise. A one-step predictor with state update equations was designed for the virtual state with virtual noise first of all. An extended incremental Kalman filter(EIKF) was then proposed for the nonlinear under-observed systems. Furthermore, an adaptive filtering method was given for optimization. The fusion adaptive incremental Kalman filter weighted by scalar was finally proposed. The comparison analysis was made to verify the optimization of the state estimation using adaptive filtering method in the filtering process.

关键词： Adaptive systems Information filters Matrices Adaptive estimation Kalman filters State estimation Nonlinear systems

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“Buckets effect”in the kinetics of electrocatalytic reactions

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Journal of Energy Chemistry 2024年第2期89卷 388-396,I0010页

作者： Haowen cui Yan-Xia Chen Hefei National Laboratory for Physical Sciences at Microscale Department of Chemical PhysicsUniversity of Science and Technology of ChinaHefei 230026AnhuiChina

In this study,we systematically investigated the effect of proton concentration on the kinetics of the oxygen reduction reaction(ORR)on Pt(111)in acidic *** results demonstrate a rectangular hyperbolic relationship,i.e.,the ORR current excluding the effect of other variables increases with proton concentration and then tends to a constant *** consider that this is caused by the limitation of ORR kinetics by the trace oxygen concentration in the solution,which determines the upper limit of ORR kinetics.A model of effective concentration is further proposed for rectangular hyperbolic relationships:when the reactant concentration is high enough to reach a critical saturation concentration,the effective reactant concentration will become a constant *** could be due to the limited concentration of a certain reactant for reactions involving more than one reactant or the limited number of active sites available on the *** study provides new insights into the kinetics of electrocatalytic reactions,and it is important for the proper evaluation of catalyst activity and the study of structureperformance relationships.

关键词： Oxygen reduction reaction Kinetics Zero order Rectangular hyperbolic relationship pH effect

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