Vorontsov-Velyaminov rows: Straight segments in the spiral arms of galaxies

The phenomenon of rows—straight features in the spiral patterns of galaxies, which was discovered by Vorontsov-Velyaminov, is investigated. The rows are not artifacts; in several cases, they outline regular spiral arms almost over their entire lengths. The galaxies M 101, M 51, and a number of more distant spirals are used as examples to demonstrate major geometrical and physical properties of these structures. It is shown that the row lengths increase nearly linearly with distance from the disk center, and that the angle between adjacent rows is almost always close to 2π/3. The galaxies with rows generally belong to moderate-luminosity Sbc-Sc systems with low rotational velocities, regular spiral patterns (Grand Design), and an H I content normal for these types of galaxies. Two types of rows are shown to exist, which differ in thickness and appear to be evolutionarily related. The formation mechanism of the rows should probably be sought in the peculiar behavior of the gas-compression wave in spiral density waves.     

Physical and Human Factors Influencing Potential Fish Habitat Distribution along a Mountain River, France

Potential fish habitat along the Drôme River, France, is a function of the distribution of large woody debris, boulders, undercut banks, gravel substrate, and pools. The distribution of these features is, in turn, a function of channel geomorphology, watershed and riparian forest characteristics. We conducted field work and analysed aerial photographs for 190 elementary segments of 500 m length along the Drôme River's 95 km course from the Alps westward to its confluence with the Rhône River near Loriol. The Drôme River does not follow the classic pattern of a monotone downstream decrease in gradient and change in channel characteristics. Although channel gradient, braided index and channel incision all decrease downstream, stream power is independent of longitudinal distance. These variables are largely controlled by geomorphic, human or hydrologic factors at the reach scale. Potential fish habitat richness decreases downstream, but individual habitat variables affecting habitat richness do not necessarily decrease downstream, many being controlled by local factors rather than by position along the continuum. Large woody debris is more abundant in braided reaches located directly downstream of confluences with main tributaries or downstream input sites. Boulders are most abundant downstream of failed bank protection works or in gorges. To improve fish habitat in the Drôme River, we recommend taking a long-term and large-scale perspective. Because structures placed in this unstable channel are likely to be washed downstream, we propose to emulate natural river dynamics and to permit large woody debris to enter the channel in unstable reaches via bank erosion, and that this debris not be removed (as is routinely done now) but permitted to migrate downstream through the system, creating fish habitat en route.     

尖吻鲈苗种工厂化培育模式的初步研究

采用室内水泥池及活饵培育配套技术进行尖吻鲈苗种阶段工厂化育苗。投放刚孵化出膜的仔鱼１６０万尾,经室内池８ｄ的培育,成活率为９０％;经１３ｄ的培育其规格超过１ｃｍ,成活率为５６．９％;经２４ｄ的培育平均规格达２ｃｍ左右,平均成活率为５０％,共育出８０万尾。苗种生长快,体质健壮,成活率高。关键技术是：基础设施配套;采用不同活饵,做到适口、及时转化、足量;定期过筛分级培育;水质控制良好;注意防病。２ｃｍ以上鱼种阶段采用多种方式培育,经１５～２０ｄ的饲养,规格达３～４ｃｍ,平均成活率为６５％～７５％。     

基于动量自适应BP神经网络的鸢乌贼模式识别

近年来, 计算机模式识别技术因其识别结果准确、快速, 而不断被用于生物判别邻域。本文利用MATLAB软件实现动量自适应BP神经网络(back propagation neural networks)对西北印度洋、中东太平洋和南海3个海区的鸢乌贼角质颚及其胴长进行模式识别。研究结果显示, 训练成型的神经网络收敛误差仅为4.416×10^-2, 加入动量和自适应学习率的BP神经网络对鸢乌贼地理种群的识别率有显著提高。3个海区的正确识别率分别为100%、88.89%和94.12%, 总成功率为 93.24%, 说明角质颚外部形态和胴长可用于鸢乌贼地理种群的区分。而BP神经网络的其他学习算法, 如梯度下降法、单一动量法和单一自适应法的总识别率分为74.32%, 77.03%和87.84%。本研究的识别效果稳定, 对于大样本训练集的识别率也高达92.77%, 为头足类的种群判别提供了新的方法和思路。     

中国柑橘生产空间变迁及其驱动因素

综合运用产业集中度、探索性数据分析(ESDA)、产业重心模型、空间杜宾模型等方法对中国柑橘生产空间演变特征,以及驱动因素进行实证分析.结果显示:1978-2015年中国柑橘生产空间呈现扩张态势,可分为急剧增长期(1978-1991年)、低速增长期(1992-2000年)、稳步增长期(2001-2015年).中国柑橘生产...     

Distribution, use pattern and prospects for conservation of medicinal shrubs in Uttaranchal State, India

The present paper gives an insight into the distribution and use pattern of medicinal shrubs in Uttaranchal State. A total of 222 medicinal and aromatic shrub species have been appended based on secondary information. Euphorbiaceae, Rosaceae, Verbenaceae, and Fabaceae have the highest repre- sentatives of medicinal shrubs. Twenty one families had one species each in medicinal use. Verbenaceae and Euphorbiaceae in the sub-tropical region, Rosaceae in the temperate region, and Ericaceae and Rosaceae in the sub-alpine and alpine regions, respectively, had the highest representatives of medicinal shrubs. The distribution of medicinal shrubs was 42 % in sub-tropical, 29 % in warm temperate, 13 % in cool temperate, 9 % in sub-alpine and 7 % in the alpine region. Of the total species, 70 medicinal shrubs were native to the Himalayas and 22 native to Himalayan region including other Hima- layan countries. The most frequently used plant parts for various ailments were leaves (31 %) and roots (23 %). Most shrubs are being used for the diseases, viz. skin diseases, dysentery, cough, fever, wounds, and rheumatism. The present paper will help in the execution of strategies for promotion and cultivation of medicinal shrubs in Uttaranchal State.     

快速工业化区域土地利用变迁机制研究:发展模式视角——以佛山市南海区为例

从发展模式及其变迁的全新视角研究快速工业化区域土地利用变迁,有利于深刻揭示发展模式对区域土地利用变迁的重要影响机制,从而为制定合理有效的调控对策提供理论依据。文中利用历史普查、更新调查和逐年统计数据,结合卫星影像资料和实地调研,在简要分析典型案例区域佛山市南海区耕地变化和建设用地扩张时空特征的基础上,重点从发展模式及其变迁的视角,综合研究快速工业化区域土地利用变迁的动力机制与过程,并进一步探讨新形势下区域发展与土地利用的耦合调控对策。     

Spatial structure and land use control in Extended Metropolitan Region of Zhujiang River Delta,China

The Zhujiang (Pearl) River Delta is one of the most developed Extended Metropolitan Regions (EMR) in China.With the rapid urbanization,the agglomeration of population and industries has emerged,which has led to dramatic changes of spatial structure and land use in this region.With data of high resolution TM remote sensing images and Google Earth maps,this paper identified and analyzed the spatial pattern of the Zhujiang River Delta EMR using Envy and ArcGIS tools.It was found that 1) the industrial land uses were expanding substantially,particularly on the bank sides of the Zhujiang River estuary;2) large-scale housing developments were concentrated in the fringe of metropolitan areas such as those of Guangzhou and Shenzhen;3) a regional transportation network with the spatial pattern of ″1 circle +2 pieces + 3 axes″ had significantly affected the location choice of manufacture enterprises.At the same time,both highly specialized land use and severely mixed land use patterns were identified.As a consequence of the latter,land use efficiency of the whole EMR areas was reduced.Moreover,ecologic and environmental problems were severe.Based on the above analysis,suggestions were given from the viewpoint of spatial safety,land use efficiency,and the reorganization of spatial structure in the Zhujiang River Delta EMR.     

A landscape pattern analysis method based on boundaries and nodes: A case study in upper Minjiang River, China

Traditionally,patch-based analysis at the landscape scale fragmentation has been used in the study of landscape ecology while the study of boundary and node has not been considered as much detail until recently.This study investigated the possibility of applying boundary-and node-based methods in landscape pattern analysis to the upper reaches of the Minjiang River in the southwestern China.Boundary-based and node-based landscape indices were selected to be used in analyzing changes in landscape patterns,and the results were compared with analysis using traditional pattern indices.We compared the responses of patch-area-based,boundary-length-based and node-number-based indices,and concluded that boundary-based and node-based indices are more sensitive to disturbance than patch-based indices with various patterns,and node-based indices are even more sensitive than boundary-based ones.Thus,the results suggest that boundary-based and node-based pattern analysis methods provide helpful supplementary information to traditional patch-based pattern analysis methods.The results about pattern dynamics of landscapes in the upper reaches of the Minjiang River based on boundaries and nodes showed that with human disturbance,the dominance of forest landscape was weakened by other landscape types; thus the landscape pattern of the study area became more homogeneous and the boundary network became more complex.These changes further augmented disturbance interfaces in the landscape and increased the possibilities of further landscape fragmentation.     

基于手机数据的北京市城市与近郊交互模式挖掘

在城镇化进程中,城市与近郊之间通过职住、货运、游憩等活动产生越来越紧密的交互联系,对于这些交互联系的准确识别和定量刻画,是理解城乡空间关系的重要手段,也能为城市的资源有效配置与合理规划提供重要的现状信息。本文通过对全北京在一日之内的手机信令数据所反映的人群移动轨迹的深入分析,融合城市的POI信息形成顾及人类活动时空信息的空间交互类型推断。以北京市为例,对城市中心与近郊之间远距离的强交互进行定性、定量和定位的探索。本文发现了北京市多尺度下空间交互模式和距离衰减规律,判断了城乡异常交互类型,对比了城乡之间和城市内部的交互模式的异同,以及基于交互类型视角提取了城乡异常交互的空间特征。研究认为,基于手机信令数据,利用停留点提取和高斯核密度估计的空间交互类型推断有效地发现了北京市周末的远距离出行类型特点,提取了其空间交互强度和空间特征,揭示了基于人类活动的北京市周末城乡交互模式。