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Land use shapes the microbial community structure by altering soil aggregates and dissolved organic matter components

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Journal of Integrative Agriculture 2025年第3期 827-844页

作者： Zongpeng Zhang Lijuan Hu Yating Liu Yixuan Guo Shiming Tang Jie Ren Collaborative innovation Center for Grassland Ecological Security (jointly supported by the Ministry of Education of China and Inner Mongolia Autonomous Region) School of Ecology and Environment Inner Mongolia University Hohhot Environmental Protection Investment Co. Ltd. key laboratory of model innovation in forage production efficiency Ministry of Agriculture and Rural Affairs/Institute of Grassland Research Chinese Academy of Agricultural Sciences

The agro-pastoral ecotone epitomizes the ecologically fragile semi-arid zone, where the soil microbiomes play a pivotal role in regulating its multifunctionality. However, whether and how changes in soil structure and organic matter composition under different land uses affect microbial community structure remain unclear. Here, land-use types in the agro-pastoral ecotone, including shrubland（BF）, artificial grassland（ArG）, abandoned grassland（AbG）,and maize farmland（MA）, were chosen to explore the response relationships between soil microbial communities and the aggregates and dissolved organic matter（DOM） composition. The results showed that compared to MA, the macroaggregates in BF, AbG, and ArG were increased by 123.0, 92.79, and 63.71%, respectively, while MA soil had the greatest abundance of <100 μm particles. The higher aromatic carbon with high aromaticity and molecular weight in BF soil DOM contributed to its highest mineral-associated organic carbon level(12.61 g kg–1), while MA soil organic carbon had highly efficient decomposition due to its high content of aliphatic and carboxy carbon, so it is prone to loss from the active carbon pools. The transition in land use from shrubland to grassland and farmland has facilitated the conversion of stable aromatic carbon to unstable carboxy carbon. The taxonomic analysis revealed that soil bacterial and fungal communities in the four land uses were dominated by Proteobacteria, Actinobacteriota, Chloroflexi, and Ascomycota. More taxonomic groups from phylum to family were enriched in BF soil. The DOM components and organic carbon are crucial variables shaping the composition of soil bacterial communities, jointly explaining 61.66% of the variance, while aggregates are important variables driving the composition of fungal communities, with an explanation rate of 20.49%. Our results suggest that DOM components and aggregates impact the soil microbial structure; and the transition in land use from agricultural land to

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Factors influencing farmer willingness to plant forage triticale in winter fallow fields in Northern China:An example from central Shanxi Province

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Grassland Research 2024年第3期3卷 290-298页

作者： Qishen Jiang Haibin Dong Qidong Li Zongxian Zhang Changyu Gao Yanting Yin Xiangyang Hou College of Grassland Science Shanxi Agricultural UniversityJinzhongShanxiChina key laboratory for model innovation in forage production efficiency Ministry of Agriculture and Rural AffairsJinzhongShanxiChina

Background:Using winter fallow fields for plant forage is important to ensure food *** triticale(×Triticosecale)has higher yields than other available forage crops and can be planted widely in winter fallow ***,the planted area of forage triticale in Shanxi Province,China,has exceeded 3500 ha;however,problems such as low farmer willingness to plant(WTP)winter forage still ***:A total of 219 farmers were surveyed in Taiyuan,Lvliang,and *** analyzed the factors influencing farmer WTP forage triticale,focusing on personal,family,land,and cognition *** used a binary logistic regression model to quantify the influence of various factors on farmer behavior and conducted a robustness check and heterogeneity ***:“Age”was negatively correlated with farmer WTP—farmers 50 years of age and older showed less WTP.“Land lease situation”was also negatively correlated with *** that positively correlated with WTP were“land areas,”“raising of livestock,”“size of labor force,”and“development prospect.”Conclusions:Many farmers are over 50 years of age,land lessors,and have low WTP winter *** who raise livestock and have large labor forces,huge land areas,and good cultivation prospects have a high *** study identifies the factors influencing farmers'WTP to assist in the development of the forage triticale industry in the study region,improving land resource utilization and *** findings are likely to have wider relevance and application.

关键词： binary logistic regression analysis factors influencing farmer decisions farmer willingness to plant farmers forage triticale

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Nitrogen addition and mowing alter drought resistance and recovery of grassland communities

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Science China(Life Sciences) 2023年第7期66卷 1682-1692页

作者： Zhuwen Xu Heyong Liu Yani Meng Jinfei Yin Haiyan Ren Mai-He Li Shan Yang Shiming Tang Yong Jiang Lin Jiang key laboratory of Grassland Ecology School of Ecology and EnvironmentInner Mongolia UniversityHohhot010021China Institute of Applied Ecology Chinese Academy of SciencesShenyang110016China School of Biological Sciences Georgia Institute of TechnologyAtlanta30332USA Autonomous Region Collaborative innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River Hohhot010018China key laboratory of Grassland Resources College of GrasslandResources and EnvironmentInner Mongolia Agricultural UniversityHohhot010018China Swiss Federal Institute for Forest Snow and Landscape Research WSLBirmensdorfCH-8903Switzerland key laboratory for model innovation in forage production efficiency Ministry of Agriculture and Rural AffairsInstitute of Grassland ResearchChinese Academy of Agricultural SciencesHohhot010010China School of Life Sciences Hebei UniversityBaoding071002China

Nitrogen enrichment and land use are known to influence various ecosystems,but how these anthropogenic changes influence community and ecosystem responses to disturbance remains poorly *** we investigated the effects of increased nitrogen input and mowing on the resistance and recovery of temperate semiarid grassland experiencing a three-year *** addition increased grassland biomass recovery but decreased structural recovery after drought,whereas annual mowing increased grassland biomass recovery and structural recovery but reduced structural resistance to *** treatment effects on community biomass/structural resistance and recovery were largely modulated by the stability of the dominant species and asynchronous dynamics among species,and the community biomass resistance and recovery were also greatly driven by the stability of *** biomass resistance/recovery in response to drought was positively associated with its corresponding structural *** study provides important experimental evidence that both nitrogen addition and mowing could substantially change grassland stability in both functional and structural *** findings emphasize the need to study changes across levels of ecological organization for a more complete understanding of ecosystem responses to disturbances under widespread environmental changes.

关键词： biomass stability dominant species drought functional stability species asynchrony structural stability

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RNA-sequencing analysis reveals novel genes involved in the different peel color formation in eggplant

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Horticulture Research 2023年第10期10卷 123-135页

作者： Jing Li Senlin Jiang Guobin Yang Yanwei Xu Lujun Li Fengjuan Yang College of Horticulture Science and Engineering Shandong Agricultural University/State Key Laboratory of Crop BiologyTai’anShandong 271018China key laboratory of Biology and Genetic Improvement of Horticultural Crops(Huanghuai Region) Ministry of Agriculture and Rural AffairsTai’anShandong 271018China Shandong Collaborative innovation Center for Fruit and Vegetable production with High Quality and efficiency Shandong Agricultural UniversityTai’anShandong 271018China

Eggplant(Solanum melongena L.)is a highly nutritious ***,the molecular mechanism of color formation in eggplants was determined using six eggplant cultivars with different peel colors and two SmMYB113-overexpressing transgenic eggplants with a purple peel and *** differentially expressed genes(DEGs)were identified by RNA-sequencing analysis using the following criteria:log2(sample1/sample2)≥0.75 and q-value≤*** analytical strategies were used to identify genes related to the different peel color according to the peel color,flavonoids content,delphinidins/flavonoids ratio,and the content of ***,27 novel genes were identified to be related to the color difference among eggplant peels and 32 novel genes were identified to be related to anthocyanin biosynthesis and regulated by *** analysis revealed that SmCytb5,SmGST,SmMATE,SmASAT3,and SmF3′5’M were shared among both sets of novel *** expression assay in tobacco suggested that these five genes were not sufficient for inducing anthocyanin biosynthesis alone,but they play important roles in anthocyanin accumulation in eggplant *** one-hybrid,electrophoretic mobility shift assay and dual-luciferase assays indicated that the expression of the five genes could be directly activated by SmMYB113 ***,a regulatory model for the mechanism of color formation in eggplant was ***,the results of this study provide useful information that enhances our understanding of the molecular mechanism underlying the different color formation in eggplant.

关键词： delphi analysis mechanism

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Engineering N3C vacancies in hierarchical porous carbon nitride nanosheets for room temperature ultradeep photocatalytic aerobic oxidative desulfurization

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Science China Chemistry 2025年

作者： Yina Nie Weijie Yang Xin Wang Xiang Li Lele Wei Xiaolin Bai Lin Liu Feng Fu Jun Wan College of Chemistry & Chemical Engineering Research Institute of Comprehensive Energy Industrial Technology Shaanxi Key Laboratory of Chemical Reaction Engineering Yan'an University Anhui Engineering Research Center of Carbon Neutrality College of Chemistry and Materials Science Anhui Normal University

The production of ultra-low sulfur clean fuels holds global significance for improving energy efficiency and reducing environmental pollution. Photocatalytic aerobic oxidative desulfurization（PODS） offers an attractive approach to efficiently remove refractory heterocyclic aromatic sulfur compounds under mild conditions. However, the sluggish charge dynamics,insufficient molecule activation, and slow mass transfer within photocatalysts restrict the overall desulfurization efficiency,hindering the widespread application of this technology. Herein, we developed a defective g-C3N4（M1U3CN） photocatalyst with bridged N3Cvacancies and hierarchical porous structures to address these limitations. This catalyst not only demonstrates outstanding dibenzothiophene（DBT） removal efficiency of 99.6% for model oil with high conversion and selectivity but also achieves complete sulfur removal from gasoline as well as 96.7% sulfur removal for distilled diesel at room temperature,successfully achieving ultradeep aerobic oxidative desulfurization. The introduction of rich N3Cvacancies and abundant micromeso-macroporous distribution in M1U3CN enhances kinetic efficiencies by promoting charge carrier separation, mass transfer,and molecular activation simultaneously; resulting in exceptional PODS performance. This work provides a collaborative strategy to overcome kinetic challenges in aerobic oxidative desulfurization via defect and structural engineering of the catalyst.

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Cloud model-based analysis of regional sustainable water resource utilization schemes

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International Journal of Agricultural and Biological Engineering 2016年第5期9卷 67-75页

作者： Fu Qiang Meng Fanxiang Li Tianxiao Liu Dong Gong Fanli Amgad Osman Li Yutong School of Water Conservancy and Civil Engineering Northeast Agricultural UniversityHarbin 150030China Heilongjiang Provincial Collaborative innovation Center of Grain production Capacity Improvement Northeast Agricultural UniversityHarbin 150030China key laboratory of High efficiency Utilization of Agricultural Water Resource of Ministry of Agriculture Northeast Agricultural UniversityHarbin 150030China

Given the adverse effects of current water shortages,low utilization and imbalance between the supply and demand,and other status quo problems relating to social economic development,the construction industry and agriculture,a cloud model was applied to a water resource system using five sustainable water resource utilization schemes for Kiamusze,Heilongjiang Province,as an *** research changes the qualitative description of the concept language into a quantitative analysis of an evaluation indicator.A cloud model-based analytical method for regional sustainable water resource utilization schemes was proposed,and the sustainable grades of the water resources were *** research results showed that,in addition to the natural continuation of such schemes,the development trends of four new schemes achieved the sustainable utilization of water resources,and thus,the sustainable water resource utilization was ***,when the open-source,throttle,comprehensive and coordination schemes were subjected to the optimum applicability analysis,based on the limiting factors in different periods,resource availability and long-term development,decision-making regarding the best solution in different periods better ensures sustainable development in *** research results provide a significant theoretical basis for the formulation of scientific and reasonable sustainable water resource utilization strategies in Kiamusze.

关键词： cloud model regional water resources sustainable utilization normal cloud scheme analysis

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Genomic selection: A breakthrough technology in rice breeding

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The Crop Journal 2021年第3期9卷 669-677页

作者： Yang Xu Kexin Ma Yue Zhao Xin Wang Kai Zhou Guangning Yu Cheng Li Pengcheng Li Zefeng Yang Chenwu Xu Shizhong Xu key laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu key laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-innovation Center for Modern production Technology of Grain Crops College of AgricultureYangzhou UniversityYangzhou 225009JiangsuChina Department of Botany and Plant Sciences University of CaliforniaRiversideCA 92507USA

Rice(Oryza sativa)provides a staple food source for more than half the world ***,the current pace of rice breeding in yield growth is insufficient to meet the food demand of the everincreasing global *** selection(GS)holds a great potential to accelerate breeding progress and is cost-effective via early selection before phenotypes are *** simulation and experimental studies have demonstrated the usefulness of GS in rice ***,several affecting factors and limitations require careful consideration when performing *** this review,we summarize the major genetics and statistical factors affecting predictive performance as well as current progress in the application of GS to rice *** also highlight effective strategies to increase the predictive ability of various models,including GS models incorporating functional markers,genotype by environment interactions,multiple traits,selection index,and multiple omic ***,we envision that integrating GS with other advanced breeding technologies such as unmanned aerial vehicles and open-source breeding platforms will further improve the efficiency and reduce the cost of breeding.

关键词： Genomic selection Rice Hybrid Predictive ability model

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Reaction network design and hybrid modeling of S Zorb

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Chinese Journal of Chemical Engineering 2024年第9期73卷 301-310页

作者： Kai Ji Zhencheng Ye Feng Qian key laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China Qingyuan innovation laboratory Quanzhou 362801China

At present,many countries are becoming more and more stringent in terms of sulfur content in fuel oil.S Zorb is a kind of desulfurization technology with advantages of exceptional desulfurization efficiency and small impact on octane *** meet the needs of environmental requirements and the trend of digitalization in the petrochemical industry,a first-principle model of S Zorb was established based on industry *** order to describe the desulfurization and the other side reactions,a reaction network was designed and the kinetic parameters were estimated by the particle swarm optimization *** hybrid models based on the first-principle model and support vector regression method were established to correct the mass fraction of sulfur and predict the research octane number of the refined gasoline *** results indicate that the hybrid models can predict the mass fraction of PIONA,sulfur content and research octane number of the refined gasoline accurately,of which the mean absolute percentage errors are less than 6%.Hybrid models were then applied to optimize the decision variables to minimize the research octane number *** results show that the average reduction of the loss of research octane number is 21.8%,which suggests that the models developed hold promise for guiding practical production.

关键词： Desulfurization Simulation Reaction kinetics Optimization

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A local space transfer learning-based parallel Bayesian optimization with its application

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Chinese Journal of Chemical Engineering 2024年第10期74卷 227-237页

作者： Luhang Yang Xixiang Zhang Jingyi Lu Zhou Tian Wenli Du key laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China Qingyuan innovation laboratory Quanzhou 362801China Longmen laboratory Luoyang 471023China

The optimization of process parameters in polyolefin production can bring significant economic benefits to the ***,due to small data sets,high costs associated with parameter verification cycles,and difficulty in establishing an optimization model,the optimization process is often *** address this issue,we propose using a transfer learning Bayesian optimization strategy to improve the efficiency of parameter optimization while minimizing resource ***,we leverage Gaussian process(GP)regression models to establish an integrated model that incorporates both source and target grade production task *** then measure the similarity weights of each model by comparing their predicted trends,and utilize these weights to accelerate the solution of optimal process parameters for producing target polyolefin *** order to enhance the accuracy of our approach,we acknowledge that measuring similarity in a global search space may not effectively capture local similarity ***,we propose a novel method for transfer learning optimization that operates within a local space(LSTL-PBO).This method employs partial data acquired through random sampling from the target task data and utilizes Bayesian optimization techniques for model *** focusing on a local search space,we aim to better discern and leverage the inherent similarities between source tasks and the target ***,we incorporate a parallel concept into our method to address multiple local search spaces *** doing so,we can explore different regions of the parameter space in parallel,thereby increasing the chances of finding optimal process *** localized approach allows us to improve the precision and effectiveness of our optimization *** performance of our method is validated through experiments on benchmark problems,and we discuss the sensitivity of its *** results show that our proposed

关键词： Transfer learning Bayesian optimization Process parameters Parallel framework Local search space

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Mass transfer model,preparation and applications of zeolite membranes for pervaporation dehydration:A review

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Chinese Journal of Chemical Engineering 2017年第11期25卷 1627-1638页

作者： Chun Zhang Li Peng Ji Jiang Xuehong Gu State key laboratory of Materials-Oriented Chemical Engineering College of Chemical EngineeringSynergetic Innovation Center for Advanced MaterialsNanjing Tech UniversityNanjing 210009China

Pervaporation(including vapor permeation) is a kind of new membrane separation technology, possessing the advantages of high efficiency, energy saving and convenient operation. It has promising application in the separation and purification of organic solvents. Dehydration is an important step in the production and recovery of organic solvents. Zeolite membranes have attracted wide attention for pervaporation dehydration due to their high separation performance and good thermal/chemical stability. So far, zeolite membranes have been preliminarily industrialized for dehydration of organic solvents. This paper reviews the recent development of zeolite membranes for pervaporation dehydration, including mass transfer models, preparation and applications of zeolite membranes. The review also discusses the current industrial applications of zeolite membranes and their future development in pervaporation.

关键词： Zeolite membrane Pervaporation Organic solvent dehydration Mass transfer

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