Consumption of bacteria by larvae of a deep-sea polychaete

We investigated whether trochophore larvae of the polychaete Hesiocaeca methanicola, which lives on exposed ice‐like methane hydrates between 500 and 600 m, could consume near‐bottom picoplankton. In laboratory trials larvae significantly reduced the growth rates of all types of picoplankton, including heterotrophic bacteria, Prochlorococcus sp., Synechococcus‐type cyanobacteria and phototrophic eucaryotes <3 μm. Our findings suggest that these types of plankton may be important food sources for deep‐sea planktotrophic larvae.     

呼伦湖的近期扩张及其与全球气候变化的关系

通过近２０多年湖泊水量平衡分析发现，湖泊水位变化主要由湖盆内径流补给量的丰枯决定。进一步分析揭示，呼伦湖地区乃至整个东北地区，本世纪以来随气温升高，随水有增加的趋势。降水增加导致入湖径流量，湖水位上升，呼伦湖本世纪以来的扩张与内蒙古东部地区其他内陆湖泊的变化一致，但这在我国乃至整个亚洲内陆干旱或半干旱区是独一无二的，为此成为这一地区气候变化的指示器。     

真鲷早期发育阶段行为生态学研究

真鲷Pagrosomus major Temminck et Schlegel早期发育阶段游泳行为的发育可以分为:(1)旋转式运动;(2)阶梯型运动;(3)间断式水平运动和滑翔;(4)巡游以及(5)疾游五种类型。前期仔鱼的摄食方式主要是伴有甩头动作的前冲摄食;后期仔鱼的摄食主要有两种类型:一种是身体弯成S形的“S攻击型”;另一种为不作摄食姿势的“咬食攻击型”。摄食方式随着发育水平和饵料种类的不同而异。文中对发育过程中出现的攻击行为、护食行为、互食行为、猝死现象亦进行了描述。并对游泳、摄食以及各种行为的生态意义和实际意义进行了讨论。     

花鲈幼鱼个体代谢与体重关系的初步研究

实验室条件下测定花鲈 ( L ateolabrax japonicus C & V)的代谢率 ,温度为 ( 2 5.2± 0 .5)℃ ,鱼体湿重范围 :4 .64～ 52 .2 8g(平均体重 17.81g± 0 .33g)。饥饿鱼的正常代谢相关于体重的关系式 :Rr=15.37W0 .74 4。( r=0 .934 )。摄食代谢与摄食量呈线性正相关关系 ,摄食代谢水平为正常代谢的 1.8～ 2 .4倍。     

基于模拟退火算法的饲料配方设计

本文在饲料配方设计中首次引入新颖、高效的组合优化算法--模拟退火算法，并获得理想的数值结果，说明了在传统的饲料配方设计中高技术的应用可以获得更高的效益.     

利用地下水水位资料推求水文地质参数

依据模糊集合理论,提出了反求水文地质参数的一种新方法,即用模糊模式识别评价计算水位与观测水位的拟合程度,依模糊ISODATA聚类法的原理建立目标函数,以相应的聚类中心作为要求的水文地质参数。     

Anomalous change of the Antarctic sea ice and global sea level change

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山溪性可冲性强潮河口曹娥江高水位初步研究

应用多年的实测资料 ,分析了曹娥江河口高水位成因 ,结果表明 ,曹娥江河口洪水位具有山溪性和可冲性的特点 ,人类活动对高水位有较大影响。应用统计分析法和成因分析法推求 1 %设计高水位 ,讨论了成因分析法中上、下边界条件的选取 ,其选取原则对其他潮汐河口确定设计高水位具有借鉴意义     

The Huelva (Spain) Tsunami-Ready Station and Its Interaction with Storm Emma (March 2018)

Abstract

The sea level station operating since 1996 at Mazagón (Huelva, Spain) has been progressively upgraded to fit tsunami warning requirements, due to its location in one of the main regions at risk. Its radar water level sensor was complemented in 2017, with the addition of a pressure sensor. The performance of both sea level sensors and their response to sea level oscillations, at different frequencies, is assessed. Particular emphasis is put on the effect of extreme events, such as Storm Emma, when alternative methods to obtain 1-min data are tested, in contrast to the one based on arithmetic means. The overall differences are small, for the whole period of study (centered-root-mean-square-error below 1?cm, for 5-min, and hourly data; similar tidal parameters and sea level oscillations with periods between 30?s and 5?min). However, during Storm Emma, the pressure sensor presents sensibly lower readings than the radar, with the centered-root-mean-square-error rising to 80?mm on the March 2^nd 2018. A new method to compute 1-min data, based on medians, reduced this value to 10?mm for the same day.