白河自然保护区种子植物区系特征

在对四川白河自然保护区种子植物资源多次调查和大量标本采集、鉴定的基础上,对其种子植物的科属组成、分布区类型、区系特征等进行了统计和分析.表明:①保护区区系成分复杂,类型丰富;②优势科、属明显;③起源古老;④地理成分复杂;⑤具明显的温带性质;⑥具明显的过渡性质;⑦分化现象明显,特有属、种丰富.     

永丰县种子植物统计分析及其属的分布区类型

对永丰县种子植物进行了统计分析，并研究了其属的分布类型及区系特征。结果表明：该县种子植物种类丰富，共有1340种，隶属于202科、721属；且优势科、属明显。属的分布区类型具有明显的热带性质和温带成分，在植物区系分区上处于从亚热带向温带过渡范围内；且起源古老，成分复杂。     

四川宽坝林场种子植物区系特征研究

通过对四川宽坝林场内种子植物的调查及其科、属的分布区类型统计,得出区内种子植物具有如下区系特征：①区系成分较为复杂,种类丰富;②优势科明显,种子植物起源古老;③该区种子植物区系具温带性质和过渡性;④中国特有种丰富;⑤珍稀濒危和保护植物丰富．     

大巴山自然保护区种子植物区系组成分析

大巴山自然保护区是国家级自然保护区，其种子植物区系具有以下特征：植物种类丰富，共有自然生种子植物157科904属2798种．植物区系优势科、属明显，含20种以上的优势科数虽只占总科数的26．75％，但其所含属数和种数却分别占总属数和总种数的69．8％和74．21％，含6种以上的120个优势属所含的种数占区内总种数的45．57％，这些科、属在本区系组成中占明显的主导地位．分布区类型多样，地理成分复杂，泛热带成分丰富，温带性质明显，并与热带成分有广泛的联系，表现出一定的过渡性．特有和珍稀濒危植物资源丰富，植物区系具有古老、孑遗、原始性．     

大木山自然保护区种子植物区系初步研究

在野外调查和分类的基础上,对大木山自然保护区种子植物区系进行了初步研究.结果表明:大木山自然保护区植物资源十分丰富,共有种子植物137科,648属,1400种.科的优势现象明显,优势科为蔷薇科、菊科、禾本科、豆科和百合科.地理成分复杂,种子植物科的分布区类型有10个,热带成分占优势,属的分布区类型有15个,种的分布区类型有14个,温带性质属种略多于热带性质属种,区系具有明显的过渡性特征.种子植物区系起源古老,特有成分和珍稀保护物种丰富.     

安徽岭南自然保护区蕨类植物的多样性研究

对岭南自然保护区蕨类植物调查研究表明，岭南自然保护区蕨类植物有149种(含种以下的单位)隶属于66属、36科，占安徽省蕨类植物总种数的58．9％．区系分析含12个分布区类型，显示该区蕨类植物区系地理成分较为复杂，具明显的热带性质和丰富的温带成分；生活型以地生为主，生态型呈多样性．     

山东省蒙山种子植物区系研究

研究表明，蒙山有野生种子植物107科，426属、764种、60变种、4亚种、4变型；植物区系类型多样、地理成分复杂、优势现象明显，具典型的暖温带落叶阔叶林性质。与相邻种子植物区系比较，蒙山种子植物区系与泰山具有较高的同质性，与崂山、云台山、千山依次递减，与芦芽山和大青山则具明显差异。     

松藻煤矿种子植物区系特征研究

通过对松藻煤矿地区种子植物的调查及其科、属的分布区类型统计,得出其种子植物区系特征如下:①区系成分复杂,类型丰富.②种子植物起源古老.③种子植物地理成分复杂.④种子植物区系显示出明显的从热带到温带过渡的性质.⑤优势科明显.⑥特有现象较为明显.     

海子山自然保护区种子植物区系组成分析

在对海子山自然保护区详细调查的基础上,对其种子植物的生长型组成、科及属的分布区类型进行了统计分析.结果表明:①保护区内种子植物丰富,共101科,456属,1418种;②生长型相对单一,以草本占优势;③优势科、属明显;④种子植物地理成分复杂.吴征镒划分的中国种子植物属的15大分布类型均有分布;⑤区系特征具明显的温带性质,温带分布科36科,占总科数的48.00%,温带分布属329属,占总属数的80.05%.⑥起源古老,特有属种及珍稀濒危植物较丰富.     

永丰县种子植物统计分析及其属的分布区类型

对永丰县种子植物进行了统计分析,并研究了其属的分布类型及区系特征.结果表明:该县种子植物种类丰富,共有1340种,隶属于202科、721属;且优势科、属明显.属的分布区类型具有明显的热带性质和温带成分,在植物区系分区上处于从亚热带向温带过渡范围内;且起源古老,成分复杂.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

正~~     

An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.