The Spatial Distribution of Caprellidea (Crustacea: Amphipoda): A Stress Bioindicator in Ceuta (North Africa, Gibraltar Area)

Abstract. The caprellid (Crustacea: Amphipoda) community associated with the alga Cystoseira usneoides (L.) Roberts 1967 was studied on a spatial scale in relation to the influence of environmental factors on the coast of Ceuta (North Africa) using multivariate analyses. Twenty-two stations were sampled and five environmental factors were tested (hydrodynamics, silting, suspended organic matter, organic matter in silt and suspended solids). The spatial distribution of the caprellid community reflected the physico-chemical conditions of the coast. Phtisica marina Slabber 1769 was the only species present at the stations of the harbour of Ceuta, characterised by the lowest values of hydrodynamics and the highest values of silting, suspended organic matter and suspended solids. The most exposed stations (high hydrodynamics and low values of silting, dissolved organic matter and suspension solids) were mainly dominated by Caprella danilevskii Czerniavskii 1868 and C. penantis Leach 1814. These two species have developed a "parallel" posture that enables them to attach strongly to the substratum and thus inhabit areas subjected to heavy exposure or strong currents. Caprella acanthifera Leach 1814 and Pseudoprotella phasma (Montagu 1804) preferred stations characterised by moderate values of silting and suspended solids, such as those located in the coastal areas in front of the city of Ceuta, but these species were not found at the most stressed harbour stations.     

南海晚第四纪浮游有孔虫类群变化所表征的古海洋学特征

通过对南海4个岩心的74个样品进行Q型因子分析,求得4个浮游有孔虫组合:亚热带-热带组合,温凉组合,热带易溶组合和亚热带组合。亚热带-热带组合为优势组合,它的发育状况反映了晚第四纪西太平洋热带海水对南海的影响程度,其因子载荷作为古海流特征的参数。温凉组合的发育与南海存在冷涡有关。利用转换函数FP-12E计算了南海南部表层古水温,冰期与间冰期的表层水温平均变化冬季为4.7℃和2.9℃,夏季为3.0℃和2.1℃,季节性温差冰期最大可达8.6℃,间冰期最大可达5.0℃,均比太平洋同一纬度海区的大。冬季表层古水温波动比夏季的大。全新世的表层水温呈上升趋势,但在NS86-43柱中有一变冷现象,这可能和the younger Younger Dryas有关。     

南海北部—观测点内潮特征的初步分析

采用功率谱分析、调和分析等方法，对南海北部－观测点连续９ｄ（１９８８年５月８—１６日）的温度。盐度和海流及跨越该期间较长的（１９８８年４月２４日－７月２２日）潮位资料进行了分析研究。结果表明，观测点存在着一种内潮现象，其波动的周期在２４ｈ左右，它传播的方向大体是偏北。     

长江口及济州岛附近海域变性水团的初步分析

基于变性水团的概念,本文把聚类分析用于确定长江口及济州岛附近海域变性水团的边界。由聚类分析得到的结果表明,在该海区有十个水团。对它们的特征、分布与变化进行了初步分析。作者得出的结论是:1、在十个水团中,有四个大洋性水团,六个变性水团。2、该海域水团变性的特点为暧季增温、降盐、降氧,而冷季则相反。3、水团变性是由海区内、外因素综合作用而发生的,而后者在浅水区域起主要作用。4、水团边界的舌状分布与流向之间有明显关系。因之,海流的方向及强度,大致可依水团舌状分布而判断。5、底层中心渔场基本上位于各变性水团之间的混合区或其附近。     

Optimum Sample Size to Detect Perturbation Effects: The Importance of Statistical Power Analysis – A Critique

Abstract. The current article describes statistical power analysis as an efficient strategy for the estimation of the optimum sample size. The principle aim is constructively to criticise and enrich the results presented by Mouillot et al. (1999) , who estimate the optimum sample size for evaluating possible perturbations. The authors did not make any reference to statistical power analysis, even though their objective clearly went beyond a simple stock evaluation to assess management strategies in a particular marine ecosystem. Surprisingly, they proposed (a priori) an ANOVA design to test a hypothesis considering both space and temporal scales. However, the authors did not cover important topics related with power analysis and the precautionary principle, both used into environment impact assessment programmes for marine ecosystems. Based on their results and on statistical power analysis, it is demonstrated that the variability (dispersion statistics), a key factor they used to estimate the sample size, is less relevant than the magnitude of perturbation (effect size). Therefore, a greater effort must be devoted to estimate the effect size of a particular phenomenon rather than a desired variability.     

黄河流域2002年麦收期间一次强降水过程分析

本文通过对陕西南部的佛坪县2002年6月8日——lO日的降水达到了489mm的特大暴雨降水过程的初步分析，对进一步了解大尺度环流背境场下的强降水过程的成因，提高对暴雨天气过程的预报能力是非常有益的；本文收集的降水过程期间的天气图和传真图资料对预报员和海洋工程技术人员有参考价值。     

Seakeeping assessment of fishing vessels in conceptual design stage

The main idea of this paper is to identify functional relations between seakeeping characteristics and hull form parameters of Mediterranean fishing vessels. Multiple regression analysis is used for quantitative assessment through a computer software that is based on the SQL Server Database. The seakeeping attributes under investigation are the transfer functions of heave and pitch motions and of absolute vertical acceleration at stern, while the ship parameters influencing motion dynamics have been classified into two groups: displacement (Δ) and main dimensions (L, B, T), coefficients that define the details of the hull form (C_WP, C_VP, LCB, LCF, etc.).Four multiple regression models having different parameter combinations are here investigated and discussed, giving way to the so-called ‘Simple Model’, ‘Intermediate Model’, ‘Enhanced 1 Model’ and ‘Enhanced 2 Model’. The obtained results are more than satisfactory for seakeeping predictions during the conceptual design stage.