红壳色文蛤选育子代各壳色的形态分化及养殖效果的比较

以红壳色为目标性状,于2009年进行了文蛤(Meretrix meretrix)的群体选育研究,建立了红壳色选系子一代(Fl),对子一代壳色种类、分布频率及其数量性状进行了统计、测量和分析,并对各壳色的形态、生长速度做了研究.结果表明,文蛤壳色具有多态性,红色、黄色、白双、黄双、波纹的分布频率分别为75.58%、8.55%、0.53%、14.83%、0.50%.红壳色亲本的子代中出现红色∶花色=3∶1,符合孟德尔遗传模式.聚类分析与欧氏距离矩阵结果表明,文蛤波纹与黄色遗传距离最近,白双与黄双遗传距离相近,与红壳色的遗传距离最远.主成分分析显示白双文蛤与黄双文蛤在空间分布上相对重叠,波纹文蛤与黄色文蛤具有较高的重叠率,而红壳色文蛤相对分散,从而进一步说明5种壳色文蛤的遗传距离关系.经过1a同池养殖,子代壳长多数已达到10～30 mm,红壳色文蛤的日生长率为0.20%,花壳色文蛤的日生长率为0.18%,且红壳色文蛤的相对比较生长速度比花壳色文蛤快10.41%.红壳色文蛤选育子代的壳长与壳宽、壳高、粒重存在一定的回归关系.红壳色文蛤壳长对壳宽、壳高、粒重的回归方程分别为:y1=0.502 4x1-0.556 0(R2=0.992 0)、y3=0.8103x3+0.620 0(R2=0.995 6)、y5=0.000 3x25.9029(R2=0.991 9),花壳色文蛤壳长对壳宽、壳高、粒重的回归方程分别为:y2=0.495 3x2-0.419 2(R2=0.990 9)、y4=0.798 5x4+0.793 5(R2=0.995 6)、y6=0.000 4x26.845 8(R2=0.993 4).研究结果为文蛤的红壳色定向选育奠定了理论基础.     

急性低氧胁迫对卵形鲳鲹选育群体血液生化指标的影响

本文研究了水环境急性低氧胁迫对卵形鲳鲹Trachinotus ovatus选育群体血液生化指标的影响。实验设计了急性低氧试验组和对照组,每组3个平行。结果显示,急性低氧胁迫后选育群体的血清离子含量与对照组相比都有不同程度的升高,其中钠、氯、钙浓度与对照组相比差异显著(p0.05),铁浓度极显著高于对照组(p0.01);血清蛋白、尿酸、肌酐、血脂、血糖等指标的差异较大,其中尿酸、肌酐极显著高于对照组(p0.01),总蛋白、总胆固醇显著低于对照组(p0.05);血清中肌酸激酶含量极显著高于对照组(p0.01),肌酸激酶同工酶显著高于对照组(p0.05),γ-谷氨酰转肽酶含量显著低于对照组(p0.05);其他指标均有不同程度的升高或降低,但差异不显著。研究表明,急性低氧胁迫造成卵形鲳鲹鳃、肾、心脏和肝脏损伤,免疫力下降。     

Features of wind waves at the southeastern coast of Sakhalin according to bottom-pressure measurements

The results of wind-wave measurements with bottom-pressure sensors are discussed. These measurements were performed at the southeastern coast of the Island of Sakhalin in 2006–2009. The problems of converting data obtained with these sensors into water-level displacent in the context of the linear theory are noted. Twenty records with a duration of 2 weeks to 3 months were obtained. These records contain from 150000 to 1200000 waves for three different observation points located at the southeastern coast of Sakhalin in the regions of the village of Vzmor’ye, Lake Izmenchivoye, and the Cape of Ostryi. The estimates obtained for wave-height distributions were approximated by the Weibull distribution. They were compared to the theoretical Rayleigh, Forristall, Weibull, and Glukhovskii distributions. As one would expect, in the region of small wave heights, all distributions prove to be close to one another, and, for large wave heights, the Weibull distribution is preferred.     

Lagrangian fronts in the ocean

We introduce the concept of Lagrangian fronts (LFs) in the ocean and describe their importance for analyzing water mixing and transport and the specific features and differences from hydrological fronts. A method of calculating LFs in a given velocity field is proposed. Based on altimeter velocity fields from AVISO data in the northwestern Pacific, we calculate the Lagrangian synoptic maps and identify LFs of different spatial and temporal scales. Using statistical analysis of saury catches in different years according to the Goskomrybolovstvo (State Fisheries Committee of the Russian Federation), we show that LFs can serve as good indicators of places that are favorable for fishing.     

Bayesian classification of the ice cover of the Arctic seas

A classification of sea ice in the Arctic by age (multiyear; first-year; and first-year deformed ice, nilas, etc.) is developed based on the Bayesian approach using satellite radar data and taking into account regional peculiarities of these types of ice for different sectors of the Arctic. Estimations of a priori probabilities for each ice type, which are required for the use of the Bayesian classification, are obtained by the analysis of ice charts in the Arctic seas developed at the AARI in 2008–2013 using satellite data. A posterior probabilities are estimated visually by an expert. Types of sea ice distinguished by the expert on satellite images make it possible to create sample values of the radar-scattering cross section (RSCS). Examples of the proposed Bayesian classification of ice in the Laptev Sea according to Envisat satellite data are given.     

Lidar sounding of the optical parameter of atmospheric turbulence

The operation of a lidar intended for clear air turbulence (CAT) positioning on the basis of the backscatter enhancement (BSE) effect is analyzed using a turbulence model with a power-law spectrum. Systematic distortions occurring due to a need to regularize the lidar positioning problem solution are estimated. It is shown that the effect of molecular viscosity of air on the positioning result can be neglected if the wave parameter, which characterizes the diffraction manifestation, is higher than 3. This corresponds to sounding ranges of more than 1 km for optical or UV lidars. The analysis results show that the BSE lidar positioning accuracy weakly depends on the exponent in the turbulence spectrum in regions of severe turbulence. The results can justify a physical experiment for the design of an aircraft system for the lidar detection of CAT regions ahead of the flight course.     

Effect of photochemical self-action of carbon-containing aerosol: Wildfires

It has been shown by numerical simulation that the rate of formation of secondary organic aerosols (SOAs) in smoke plumes caused by vegetation and peat fires under real conditions can significantly depend on the aerosol optical thickness (AOT). The AOT determines the photodissociation rate and hydroxyl radical concentration, which in turn determines the rate of SOA generation as a result of oxidation of semivolatile organic compounds. Quantitative analysis has been carried out for the situation that took place in European Russia during the 2010 Russian wildfires. The state-of-the-art 3D chemical transport model is used in this study; the simulations are optimized and validated using the data of monitoring of the particulate matter in the Moscow region and Finland. The findings indicate that it is important to allow for this effect in studies focused on the analysis and prediction of air pollution due to wildfires, as well as climate and weather studies, whose results may depend on the assumptions about the content and properties of atmospheric carbon-containing aerosol.