泥沙颗粒形状对非均匀沙起动条件的影响

根据非均匀沙颗粒的不均匀性,引入颗粒形状系数,通过分析泥沙颗粒形状系数和相对暴露度的影响,建立了等效粒径表达式;并通过泥沙起动受力分析,推导得到泥沙起动临界条件表达式.实测资料验证表明,计算值与实测值符合较好.     

江苏省人口城市化与空间组织互动机制研究

近年来,我国沿海经济发达地区的人口城市化进入了新的发展阶段,城市区域化和区域城市化成为该类地区演化的主要趋势.人口分布在城镇空间上的重新优化组合,引导区域城镇群体空间不断向高级化方向演进.从人口城市化过程和空间组织互动的一般原理出发,探讨了江苏人口城市化过程对促进区域空间组织的多方面影响,分析了江苏的区域空间组织对人口城市化进程的调控作用,及其实施调控的手段.以期为我国沿海发达地区的人口城市化的相关研究和实践提供参考,促进该类地区人口城市化与空间组织的健康协调发展.     

地磁场强度变化对暴露年代测定的影响及校正

在103-105a的尺度上,地磁场强度变化是影响陆地宇生核素生成速率的主要因素,其影响程度取决于样品的地理位置和暴露时间。根据已有的磁场古强度数据,模拟200 ka以来海拔2 km、25°N和40°N的地表10Be生成速率的变化,进而分析地表宇生核素生成速率变化对岩石暴露年代测定的影响及其模式年龄的校正。校正磁场强度变化后,海拔2 km、25°N上,50-200 ka的模式年龄可被压缩14%~19%,大于1σ的误差,相同海拔40°N上的模式年龄可减小约8%。对中低纬两组模式年龄的校正充分证明,磁场强度引起的陆地宇生核素生成速率变化是暴露年代测定中主要误差源之一,尤其在低纬高海拔地区这一影响更不容忽视。     

中国明对虾2个群体的杂交子一代早期分析

目前,对虾研究主要集中在基础遗传学和遗传改良的潜力研究等方面[1,2].不同的地理群体代表不同的遗传资源,尤其是对虾人工养殖迅速发展的情况下,对不同的群体生长发育性状特点进行评估是非常重要的.遗传改良的目标是提高对虾人工养殖群体的产量,这就需要育种计划不仅要建立在对虾自然群体相关性状差异的研究上,还需要进一步了解不同发育阶段主要经济性状的遗传特性.对虾幼体生长情况和存活率一直都是养殖者和科学工作者关注的问题.已经有研究证明美国大西洋牡蛎和港湾扇贝群体间在幼体生长发育和存活率方面存在遗传差异[3,4].杂种优势在生物界是一个普遍的现象.     

广西珍珠湾红树种群结构与动态特征

本研究以种群生命表为基础,对位于广西珍珠湾内的桐花树(Aegiceras corniculatum)种群、白骨壤(Avicennia marina)种群、秋茄(Kandelia obovata)种群和木榄(Bruguiera gymnorrhiza)种群采用径级法及匀滑技术,编制种群特定时间生命表,绘制种群存活曲线、死亡率和消失率曲线,进行种群数量动态变化和时间序列分析。结果表明:(1)白骨壤种群、秋茄种群和木榄种群年龄结构呈倒"J"形,种群趋于Deevey-II型,即增长型,主要集中在I龄级,存活曲线、死亡率和消失率曲线均呈现出更新层死亡率较高的特征;(2)桐花树种群年龄结构呈"金字塔"形,属于Deevey-I型,为衰退型,更新层个体数量少,种群总体不具备显著增长性幅度;(3)4种红树种群的数量变化动态指数V_pi和V′_pi均大于0.00%,种群稳定但易受外部环境影响;(4)在未来2、4、6、8个龄级时间后,4种红树种群中老龄级个体能够得到不同程度的补充。     

基于出租车上下客点的城市人口流动分析

掌握城市人口流动动态有利于进行交通预测、应急快速响应,以及合理的城市规划。出租车作为城市主要的交通运输工具之一,可以反映城市中人口的流动。本文以出租车上下客点数据为例,对比在工作日以及休息日的人口流动差异,分析出租车数据的空间分布及其动态变化,揭示城市人口流动模式。     

Provenance of Holocene beach sand in the Western Iberian margin: the use of the Kolmogorov–Smirnov test for the deciphering of sediment recycling in a modern coastal system

Detrital zircons from Holocene beach sand and igneous zircons from the Cretaceous syenite forming Cape Sines (Western Iberian margin) were dated using laser ablation – inductively coupled plasma – mass spectrometry. The U–Pb ages obtained were used for comparison with previous radiometric data from Carboniferous greywacke, Pliocene–Pleistocene sand and Cretaceous syenite forming the sea cliff at Cape Sines and the contiguous coast. New U–Pb dating of igneous morphologically simple and complex zircons from the syenite of the Sines pluton suggests that the history of zircon crystallization was more extensive (ca 87 to 74 Ma), in contrast to the findings of previous geochronology studies (ca 76 to 74 Ma). The U–Pb ages obtained in Holocene sand revealed a wide interval, ranging from the Cretaceous to the Archean, with predominance of Cretaceous (37%), Palaeozoic (35%) and Neoproterozoic (19%) detrital‐zircon ages. The paucity of round to sub‐rounded grains seems to indicate a short transportation history for most of the Cretaceous zircons (ca 95 to 73 Ma) which are more abundant in the beach sand that was sampled south of Cape Sines. Comparative analysis using the Kolmogorov–Smirnov statistical method, analysing sub‐populations separately, suggests that the zircon populations of the Carboniferous and Cretaceous rocks forming the sea cliff were reproduced faithfully in Quaternary sand, indicating sediment recycling. The similarity of the pre‐Cretaceous ages (>ca 280 Ma) of detrital zircons found in Holocene sand, as compared with Carboniferous greywacke and Pliocene–Pleistocene sand, provides support for the hypothesis that detritus was reworked into the beach from older sedimentary rocks exposed along the sea cliff. The largest percentage of Cretaceous zircons (<ca 95 Ma) found in Holocene sand, as compared with Pliocene–Pleistocene sand (secondary recycled source), suggests that the Sines pluton was the one of the primary sources that became progressively more exposed to erosion during Quaternary uplift. This work highlights the application of the Kolmogorov–Smirnov method in comparison of zircon age populations used to identify provenance and sediment recycling in modern and ancient detrital sedimentary sequences.     

Life after death: shallow‐water Mediterranean invertebrate communities associated with mammal bones

Invertebrate and microbial marine communities associated with mammal bones are interesting and poorly understood habitats, mainly known from studies on deep‐water whale remains. In order to characterize these communities in the shallow‐water Mediterranean, we present here the results of a pioneering experiment using mammal bones. Minke whale, pig and cow bones were experimentally deployed on three different background communities: rocky substrate, soft‐bottom and a Posidonia oceanica meadow. Bones were deployed for a year at about 20 m depth and collected every 3 months, and the invertebrate fauna colonizing the bones was identified to the lowest possible taxonomic level. As expected, mammal bones showed remarkable differences when compared with background communities. Within bones, four different clusters could be identified, primarily on the basis of the polychaete fauna, the most abundant and diverse group in the survey. Clusters A1–A3 corresponded to high to moderately altered successional stages composed by a fauna closer to that of anthropogenically enriched shallow‐water environments. These clusters were characterized by the occurrence of the opportunist polychaetes Ophryotrocha puerilis, Neanthes caudata (Cluster A1), Protodorvillea kefersteini (Cluster A2) and Ophryotrocha alborana (Cluster A3). Cluster B was characterized by the presence of the polychaete Oxydromus pallidus together with typical invertebrate background fauna, which suggests that this community, after a year of deployment, was closer to that found in natural conditions. As opposed to similar shallow‐water studies in other geographic areas, no occurrence of the polychaete Osedax (commonly known as bone‐eating worms) was reported from our experiments. Apart from the study on the invertebrate communities, insights about the population dynamics of three of the most abundant species (O. puerilis, O. alborana, N. caudata) are given as well as remarks on a hypothetical trophic network based on fecal pellet analysis.     

许氏平鲉(Sebastes schlegeli)微卫星标记开发及野生、养殖群体遗传多样性分析

对许氏平鲉进行简化基因组测序,设计微卫星引物200对,可稳定扩增的引物190对,占95%。利用一个荣成野生群体对24个多态性较高的微卫星标记进行了评价,每个位点的等位基因数(Na)为2—21个,观测杂合度(Ho)为0.0417—0.9167,期望杂合度(He)为0.0278—0.9722,多态信息含量(PIC)为0.1948—0.9496,结果显示有20个微卫星位点为中高度多态。利用这些引物对荣成野生群体和烟台养殖群体的遗传多样性进行了比较分析,野生和养殖群体的平均等位基因数(Na)分别为8.5000、6.9583,有效等位基因数(Ne)的均值分别为4.5484、3.6365,期望杂合度(He)均值分别为0.6421、0.5840,多态信息含量均值(PIC)分别为0.6088、0.5490,平均香农-威纳指数均值为1.4605、1.2834,但F检验发现无显著差异,发现两个群体的遗传多样性都处于高度多态水平,但养殖群体遗传多样性水平低于野生群体。本研究结果说明许氏平鲉的人工繁育中,通过使用较大数量的亲本进行繁育可有效防止选育群体的遗传多样性降低,但人工定向选育对选育群体的遗传多样性也产生了一定的影响。Bonferroni校正后在两个群体中各有4个位点偏离Hardy-Weinberg平衡。本研究开发的微卫星标记为许氏平鲉遗传图谱构建、分子标记辅助育种等提供了更多标记选择,对野生和养殖群体遗传多样性分析为下一步的遗传育种提供参考。     

Effects of demand estimates on the evaluation and optimality of service centre locations

Public service systems, such as emergency health care, police or fire brigades, are critical for day-to-day functioning of the society. To design and operate these systems efficiently much data needs to be collected and properly utilised. Here, we use the OpenStreetMap (OSM) data to model the demand points (DPs), which approximate the geographical location of customers, and the road network, which is used to access or distribute services. We consider all inhabitants as customers, and therefore to estimate the demand, we use the available population grids. People are changing their location in the course of the day and thus the demand for services is changing accordingly. In this paper, we investigate how the used demand estimate affects the optimal design of a public service system. We calculate and compare efficient designs corresponding to two demand models, a night-time demand model when the majority of inhabitants rest at home and the demand model derived from the 24-hour average of the population density. We propose a simple measure to quantify the differences between population grids and we estimate how the size of differences affects the optimal structure of a public service system. Our analyses reveal that the efficiency of the service system is not only dependent on the placement strategy, but an inappropriate demand model has significant effects when designing a system as well as when evaluating its efficiency.