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寒旱区科学(英文版)
寒旱区科学(英文版)

程国栋

双月刊

1674-3822

SCAR@lzb.ac.cn

0931-4967733

730000

甘肃省兰州市东岗西路320号

寒旱区科学(英文版)/Journal Sciences in Cold and Arid RegionsCSCD北大核心
查看更多>>《寒旱区科学》及时报道寒冷、干旱环境下, 地球表层系统的过程和格局研究的最新成果。寒区研究: 侧重低温环境下, 寒区特殊的物理过程、 化学过程和生物过程及其相互作用的研究; 强调冰冻圈对全球变化和人类活动的响应, 及其对环境的影响和适应对策; 突出冰川,积雪, 河、 湖、海冰, 多年和季节冻土, 冰缘地貌等研究对象; 重视寒区工程技术。旱区研究: 侧重干旱环境下, 旱区特殊的物理过程、化学过程和生物过程及其相互作用的研究; 强调旱区环境对人类活动和全球变化的响应, 及其对环境的影响和适应对策; 突出沙漠、绿洲、黄土和风沙地貌等研究对象; 扶植干旱区流域, 以水为主线, 山地-荒漠-绿洲系统的综合集成研究, 积极为旱区的水安全、生态安全和粮食安全提供可靠的科学技术支撑。读者对象为从事寒旱区科学研究的广大研究人员和有关专业的院校师生以及相关领域的管理干部。
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    Mining rhizobacteria from indigenous halophytes to enhance alfalfa(Medicago sativa L.)growth and soil reclamation in saline soils of Northwest China

    XiXi MaJing PanQi GuoCuiHua Huang...
    215-228页
    查看更多>>摘要:Enhancing the growth of alfalfa(Medicago sativa L.)through inoculation with rhizobacteria represents a sus-tainable strategy for reclaiming saline soils.However,the lack of suitable strains and practical application guidelines poses significant challenges to the utilization of Plant Growth-Promoting Rhizobacteria(PGPR)in salt-affected soils of Northwest China.In this study,we selected four PGPR strains derived from indigenous halo-phytes based on their growth-promoting characteristics.These strains underwent further selection via a petri dish assay.Subsequently,the effects of the selected PGPR strains on alfalfa growth and soil fertility were rigorously examined through pot trials.The results demonstrated that Bacillus filamentosus HL3,B.filamentosus HL6,Bacillus subtilis subsp.stercoris HG12,and Paenibacillus peoriae HG24 significantly produced indole-3-acetic acid(IAA),solubilized phosphorus,and fixed nitrogen(except for B.filamentosus HL6,which did not significantly fix ni-trogen).Compared to non-inoculated plants,B.filamentosus HL6 and B.subtilis subsp.stercoris HG12 significantly enhanced seed germination,root elongation,and seedling biomass in a 150 mmol/L NaCl saline solution.In saline-alkaline soils,PGPR inoculation under brackish water irrigation did not restore alfalfa growth to the levels observed under freshwater irrigation.Principal Component Analysis(PCA)condensed ten indicators into two indices,explaining 86.85%of the variance.Using these two indices as weights,an evaluation model for the PGPR-alfalfa symbiosis indicated that B.subtilis subsp.stercoris HG12 had the most substantial effect under freshwater irrigation,while co-inoculation with B.subtilis subsp.stercoris HG12 and B.filamentosus HL6 had the most significant impact on alfalfa growth and soil improvement under brackish water irrigation.Available phosphorus was identified as the primary factor influencing alfalfa growth,contributing 82.3%to the growth variation.These findings provide suitable microbial strains for the utilization of saline-alkali land and underscore the potential of applying indigenous PGPR-alfalfa symbiotic techniques to improve soil fertility and crop yield in the arid regions of Northwest China.

    Spatial and temporal distribution patterns of ants(Hymenoptera:Formicidae)in Gobi Desert ecosystems,Northwest China

    JiaLong RenYiLin FengYongZhen WangWenZhi Zhao...
    229-238页
    查看更多>>摘要:Ants(Hymenoptera:Formicidae)represent the most critical arthropod community in desert ecosystems,where interactions among vegetation,soil,and climate dictate ant assemblages.Nonetheless,our understanding of how various factors influence desert ant assemblages across different spatial and temporal scales remains limited.Therefore,this study aims to analyse the temporal and spatial distribution patterns of desert ants and to determine the effects of precipitation and temperature variations on ant assemblages.To achieve this,we continuously monitored the monthly dynamics of ants at 72 uniform 8mx8m grid points in the Gobi Desert ecosystem of Northwest China from 2015 to 2020 using pitfall traps.The results indicated that Messor desertus and Cataglyphis aenescens were the dominant ant species,with significant annual and monthly variations in the number of in-dividuals captured from 2015 to 2020.In 2020,monthly captures of M.desertus exhibited a bimodal pattern,peaking in November,whereas those of C.aenescens exhibited a unimodal pattern,peaking in June.Annual data revealed that population size was significantly positively correlated spatially at a distance of 24 m.Semi-variance analysis and Moran's I indicated that structural factors predominantly controlled the ant assemblages at a small scale from 2015 to 2020.Annual catches of desert ants tended to decrease with increasing annual precipitation,while an opposite trend was rising average annual temperatures.In conclusion,variations in annual and monthly precipitation and tem-perature influenced the temporal response patterns of desert ants,thereby altering their spatial assemblages.

    Spatio-temporal change and driving mechanisms of land use/cover in Qarhan Salt Lake area during from 2000 to 2020,based on machine learning

    Chao YueZiTao WangJianPing Wang
    239-249页
    查看更多>>摘要:The significance of land use classification has garnered attention due to its implications for climate and ecosys-tems.This paper establishes a connection by introducing and applying automatic machine learning(Auto ML)techniques to salt lake landscape,with a specific focus on the Qarhan Salt Lake area.Utilizing Landsat-5 Thematic Mappe(TM)and Landsat-8 Operational Land Imager(OLI)imagery,six machine learning algorithms were employed to classify eight land use types from 2000 to 2020.Results show that XGBLD performed optimally with 77%accuracy.Over two decades,salt fields,construction land,and water areas increased due to transformations in saline land and salt flats.The exposed lakes area exhibited a rise followed by a decline,mainly transforming into salt flats.Agricultural land areas slightly increased,influenced by both human activities and climate.Our analysis reveals a strong correlation between salt fields and precipitation,while exposed lakes demonstrate a significant negative correlation with evaporation and temperature,highlighting their vulnerability to climate change.Additionally,human water usage was identified as a significant factor impacting land use change,emphasizing the dual influence of anthropogenic activities and natural factors.This paper addresses the void in the application of Auto ML in salt lake environments and provides valuable insights into the dynamic evolution of land use types in the Qarhan Salt Lake region.

    High ecostoichiometric stability and accumulating SiO2 and NO3-as main physiological adaptive mechanisms for reed to adverse environments

    JianJun KangFan YangDongMei ZhangLiWen Zhao...
    250-258页
    查看更多>>摘要:Previous studies have shown that nutrients accumulation played important roles in resisting to stress resistance of plants.Our study examined the ecostoichiometric internal stability(EIS)of nutrients accumulation and,concomitantly identified the main resistant regulating substances and their contributions to stress resistance of reed(Gramineae)in arid desert areas.Plants(digging method)and soil samples(quartering method))obtained from sand dune(SD),desert steppe(DP),interdune lowland(IL),saline meadow(SM)and wetland(W)habitats were brought back to the lab for nutrients analysis.Results indicated that soil nutrients differed obviously,while reed maintained relatively stable ratios of SiO2∶N,N∶K,and P∶K when the eco-environments changed in different habitats.Furthermore,reed exhibits common adaptive characteristics by mainly accumulating large amounts of SiO2(122.6-174.0 g/kg)and NO3-(166.1-216.6 g/kg),as well as moderate levels of soluble sugar(SS:24.0-55.0 g/kg),which are mainly stored in leaves for stress resistance.The contribution of ions to stress resistance was 80.03%-91.15%(with SiO2 and NO3- accounting for 54.91%-63.10%),whereas the contribution of solutes was only 8.85%-19.97%(with SS contributing to 5.14%-10.91%)in different habitats.These findings suggest that maintaining relatively high EIS,while still accumulating SiO2 and NO3-as main physiological reg-ulators might be an effective strategy for reed to positively respond to adverse habitats,which provide a strong theoretical basis and technical reference for searching useful methods for restoration and reconstruction of the degraded ecosystems in desert oasis regions.

    Dynamic coupled coordination and spatial correlation between ice-snow tourism network attention and tourism industry development systems:Evidence from 31 provinces of China

    QiuLing GeJianPing YangYiLin Wang
    259-267页
    查看更多>>摘要:Using the coupled coordination degree model,DEA coupled coordination efficiency model,and spatial autocor-relation model,this study explored the dynamic coupled coordination relationship and spatial correlation be-tween the ice-snow tourism network attention and tourism industry development in 31 Chinese provinces and proposed suggestions pertaining to development.Our findings showed that(1)most provinces have not yet achieved excellent coordinated development between the two systems,and the coupled coordination efficiency is low.Each province's coupled coordination degree and coordination efficiency exhibited a small increase.(2)Spatial differences in the coupled coordination level and coordination efficiency of the two systems in each province were more evident.In seven provinces,including Heilongjiang,tourism industry development demonstrated a relatively high utilization rate and enhanced ice-snow tourism network attention.(3)The rankings of the coupled coordination degree and coordination efficiency of the two systems in each province remained relatively stable at the upper and lower ends,with large changes in the central provinces.The coupled coordination efficiency of Heilongjiang,Beijing,Jilin,and Shanghai remained at the top of the list steadily,whereas Tibet,Anhui,and Qinghai stayed at the bottom.In contrast,the ranking of the coupled coordination efficiency of Inner Mongolia,Henan,and Jiangsu displayed a great change.(4)The spatial correlation analysis revealed a positive correlation that decreased annually.Some provinces exhibited characteristics of spatial ag-gregation,with a high-high aggregation effect in Liaoning and Jilin,a low-low aggregation effect in Gansu and Qinghai,and no spatial aggregation effect in most other provinces.

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