Phylogeography of the pelagic fish Seriola lalandi at different scales: confirmation of inter-ocean population structure and evaluation of southern African genetic diversity

The study investigated the global and regional phylogeography of the yellowtail kingfish Seriola lalandi by examining genetic diversity and population genetic structure of this species at inter-and intra-ocean level and on a regional scale. DNA fragments of two mitochondrial genes, cytochrome b (Cytb) and cytochrome c oxidase subunit I (COI) and one nuclear gene, recombination activating gene 1 (RAG1), were sequenced to investigate the global-scale phylogeography of this species. The population genetic structure within the South Pacific, as well as along the South African coastline, was examined further using six microsatellite markers. Three distinct clades were identified for S. lalandi, which correspond with previously described subspecies of the North-East Pacific, North-West Pacific and the Southern Hemisphere. Within the latter, additional divergence was observed between the South Pacific and the South-East Atlantic regions. Divergence estimates were indicative of a Pacific origin for S. lalandi populations, because of Pleistocene vicariant events. Microsatellite analyses revealed overall significant genetic differentiation between South African and South Pacific samples. This corroborates recent findings on the global phylogeography of the species. No population differentiation was observed within South Africa, indicating high levels of gene flow.     

东营凹陷沙河街组碳酸盐胶结物成因机制

正碳酸盐矿物是砂岩储层中主要的成岩产物之一。碳酸盐胶结物较为活跃,其溶蚀及沉淀广泛发育于砂岩储层内。碳酸盐的溶蚀及沉淀是砂岩储层改造的重要成因之一。明确碳酸盐胶结物的成因机制对预测深部储层具有重要的意义。本次研究,采用铸体薄片及扫描电镜观察,明确碳酸盐胶结物的产状。对不同产状碳酸盐胶结物的分布、     

APG:A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies

One important step in binary modeling of environmental problems is the generation of absence-datasets that are traditionally generated by random sampling and can undermine the quality of outputs.To solve this problem,this study develops the Absence Point Generation(APG)toolbox which is a Python-based ArcGIS toolbox for automated construction of absence-datasets for geospatial studies.The APG employs a frequency ratio analysis of four commonly used and important driving factors such as altitude,slope degree,topographic wetness index,and distance from rivers,and considers the presence locations buffer and density layers to define the low potential or susceptibility zones where absence-datasets are gener-ated.To test the APG toolbox,we applied two benchmark algorithms of random forest(RF)and boosted regression trees(BRT)in a case study to investigate groundwater potential using three absence datasets i.e.,the APG,random,and selection of absence samples(SAS)toolbox.The BRT-APG and RF-APG had the area under receiver operating curve(AUC)values of 0.947 and 0.942,while BRT and RF had weaker per-formances with the SAS and Random datasets.This effect resulted in AUC improvements for BRT and RF by 7.2,and 9.7％from the Random dataset,and AUC improvements for BRT and RF by 6.1,and 5.4％from the SAS dataset,respectively.The APG also impacted the importance of the input factors and the pattern of the groundwater potential maps,which proves the importance of absence points in environmental bin-ary issues.The proposed APG toolbox could be easily applied in other environmental hazards such as landslides,floods,and gully erosion,and land subsidence.     

区块链技术在教育领域的应用现状与展望

区块链本质上的去中心化和安全特性,使得其很适合于解决目前教育领域面临的困难.本文首先介绍了区块链的基本技术原理,包括区块的结构和区块链的构成、区块链技术平台的体系结构、区块链的分类、共识算法、智能合约.接着分析了目前教育领域发展的终身教育和跨地区教育的新形势,以及传统数字化教育系统面临的主要问题.然后从教育相关信息的多方共享和验证、学习过程跟踪、激励和学习路径塑造、学习评估、教育管理与决策辅助等几个方面对区块链技术在教育领域的应用现状进行了介绍和分析.最后总结了目前区块链技术应用到教育领域的主要问题,并展望了未来的发展方向.     

飞机积冰预报算法对比及其集成预报模型研究

以人工增雨作业获取的飞机积冰实例资料为基础,利用WRF模式对51次飞机积冰过程进行数值模拟,对比分析了常用七种积冰预报算法对积冰潜势区和强度的预报效果,进而采用评分权重集成法建立了飞机积冰强度集成预报模型,并检验了其预报效果。结果表明:(1)假霜点温度经验法对2002年4月4日积冰个例的预报效果与实况一致,而其他积冰算法预报效果均与实况相差较大;(2)对51次飞机积冰预报效果进行统计检验发现,假霜点温度经验法的预报效果最好,积冰强度预报准确率为72.55%,其次是RAOB法,IC指数法和I积冰指数法次之,改进的IC指数法预报准确率最差,只有19.61%;(3)对比不同积冰算法建立的集成预报模型的预报效果发现,选用IC指数法、假霜点温度经验法、RAOB法进行集成预报时,预报准确率最高,且漏报率、偏弱率及偏强率均能控制在10%以内,比单一预报算法中的最高预报准确率提高了8%,且漏报率降低了4%,偏强率降低了8%。     

卧龙湖湿地环境演化及其成因分析

以卧龙湖湿地的基本概况和有关监测资料为基础,对卧龙湖湿地的历史演变规律以及1975~2004年湖水位观测数据和调查资料进行分析,研究近29年来卧龙湖水位的变化趋势和水位下降的成因.运用水量平衡计算方法,得出气候、水文等自然因素和人为因素是导致近30年来入湖水量减少和水位下降的根本原因.     

安徽霍邱李老庄铁矿-菱镁矿床地质特征及矿床成因类型

霍邱铁矿田位于华北地台南缘,处于北淮阳山字型构造脊柱部位.李老庄铁矿-菱镁矿床置于霍邱铁矿田中部.该矿床主要产于新太古界霍邱群变质岩系中,矿体赋存于富镁碳酸盐中,矿石类型可以分为菱镁矿磁铁矿石和蛇纹石磁铁矿石,各占25%.成矿物质来源于变质岩系的多层、分散的含铁建造矿源层中.依据矿床地质特征,结合矿石同位素地质和测年结果,认为李老庄铁矿-菱镁矿铁矿床为一新太古代海相火山-沉积变质型矿床.     

Genetic diversity and differentiation of three populations of Penaeus monodon Fabricus

Genetic diversity of two wild Penaeus monodon populations sampled from the coastal waters of Qinglan （ Hainan Province of China, HN） and Malaysia （KD）, and the F1 generation of a Thailand broodstock population （CP） were examined by vertical polyacrylamide gel electrophoresis. Of 21 loci encoded by ten enzymes, 11 were polymorphic. The mean proportions of polymorphic loci of HN, KD and CP were 36. 36%, 45.45% and 50.00% , with the average heterozygosities of 0.135, 0.181 and 0.191, and the effective numbers of alleles per loci were 1. 300, 1. 330 and 1. 329, respectively. The divergent indexes of HN, KD and CP were0.023, 0.124, and 0.117, respectively. The genetic distance between the two wild populations was 0.005, and the gene differentiation coefficient was also very low （0.014）. The results indicated that the F1 generation population had a higher genetic diversity than the two wild populations, and that the HN population had the lowest one. There was no significant differentiation between HN and KD populations and all populations existed with a slight heterozygote excess.     

Evaluation of ENVISAT ASAR data for sea surface wind retrieval in Hong Kong coastal waters of China

The C-band wind speed retrieval models, CMOD4, CMOD - IFR2, and CMOD5 were applied to retrieval of sea surface wind speeds from ENVISAT （European environmental satellite） ASAR （advanced synthetic aperture radar） data in the coastal waters near Hong Kong during a period from October 2005 to July 2007. The retrieved wind speeds are evaluated by comparing with buoy measurements and the QuikSCAT （quick scatterometer） wind products. The results show that the CMOD4 model gives the best performance at wind speeds lower than 15 m/s. The correlation coefficients with buoy and QuikSCAT winds are 0.781 and 0.896, respectively. The root mean square errors are the same 1.74 m/s. Namely, the CMOD4 model is the best one for sea surface wind speed retrieval from ASAR data in the coastal waters near Hong Kong.     

长江下游鳊鱼遗传多样性的RAPD分析

应用RAPD技术对长江下游鳊鱼群体的遗传多样性进行分析,从40个随机引物中筛选出28个引物对鳊鱼24个个体的基因组DNA进行扩增,共检测到178个位点,分子片段在0.2～2.0kb之间,其中多态位点83个,占46.63%;个体间最大的遗传距离为0.1326,最小的遗传距离为0.0476,平均遗传距离为0.0885;群体的Nei基因多样性指数为0.2593,Shannon多样性指值为0.0986。与其他鱼类的遗传多样性研究结果相比,长江下游鳊鱼群体的遗传多样性处于中等水平。