Improved performance of gilthead sea bream, Sparus aurata, larvae after ozone disinfection of the eggs

Ozone (O₃) dissolved in seawater (ODS) was evaluated, as an egg disinfectant, on the spawn of captive gilthead sea bream, Sparus aurata, brood stock. Four contact times (CT) were tested (0.6, 1.2, 2.4 and 4.8 mg min L⁻¹) where CT was calculated by multiplying the dissolved O₃ concentration (0.3 mg L⁻¹) by different exposure periods (2, 4, 8, 16 min). There was also a disinfected seawater treatment that contained no O₃ or derived compounds (CT 0) and an untreated seawater control. All ODS treatments reduced egg surface bacterial counts to zero, which was significantly (P<0.05) lower than the CT 0 and the control groups (194 and 1320 plate⁻¹ respectively). Nevertheless, the hatching rate was high in the control and the CT treatments 0, 0.6 and 1.2 (88.7%, 87.3%, 89.5% and 83.7% respectively) while eggs exposed to a CT 2.4 and 4.8 hatched poorly (36.5% and 20.4% respectively), which was likely due, at least in part, to larvae unable to break the egg chorion successfully. Swim‐bladder inflation was significantly higher in the ODS groups (>97%) compared with the control and CT 0 treatments (ca. 70%). The results suggest that a 2‐min exposure of eggs to 0.3 mg O₃ L⁻¹ of ODS (CT 0.6) would improve current protocols in marine larviculture.     

通过小型探鱼无人船探测大型围网养殖区大黄鱼的分布特性

为了明确大黄鱼在大型围网养殖区内的分布规律,实验通过集成、构建具备大黄鱼探测以及水温、盐度、光照、pH、溶解氧等海洋环境探测功能的小型探鱼无人船,并在浙江省舟山市桃花岛大黄鱼围网养殖基地内开展了6次现场监测。结果发现,(1)在水平范围,大黄鱼主要分布在大型围网养殖区内礁石丰富且水流相对较缓的区域;(2)在垂直范围,大黄鱼主要分布在加权相对深度0.6～0.9的养殖海区中下层;(3)围网养殖海区内温度、盐度、pH、溶解氧等海洋环境条件整体变化较小,大黄鱼往往分布在光照强度分别为(5 921±2 702)、(50 799±50 988)、(5 990±542)、(3 494±695)、(6 836±4 761)及(15 395±5 531)lx等相对较弱的区域。本实验首次通过小型探鱼无人船系统研究了围网养殖区内大黄鱼的分布特性及相应的海洋环境因子对其分布的影响,结果为大黄鱼围网养殖区的操作平台选址、投喂管理、起网设计等提供了依据。     

拖网渔船船-机-桨-网匹配研究

在拖网渔船的设计中,需要重点考虑螺旋桨与船-机的匹配、渔具与船-机-桨的匹配,实现推进系统的高效能发挥。本文引入时间概率的最佳螺旋桨参数优化确定方法,考虑拖网渔船设计的限制条件,通过优化分析,达到运营工况综合效能最佳,实现螺旋桨与船-机的合理匹配。从拖网渔船数据库中选取30艘运营状况优良的渔船进行有效拖力计算,建立拖网渔船有效拖力与主机功率和拖速的多元非线性回归方程,依据此方程得出的有效拖力结果选择网具和网板,实现有效拖力与渔具的合理匹配,最终实现渔具与船-机-桨的合理匹配。通过实船计算对比,验证了回归的有效拖力估算公式误差范围和适用性。研究表明:在拖网渔船设计初期,可以利用该公式估算有效拖力进行网具和网板的匹配,实现技术经济优化论证,最终实现船-机-桨-网的优化匹配。     

The concept of habitat specificity revisited

Habitat specificity indices reflect richness (α) and/or distinctiveness (β) components of diversity. The latter may be defined by α and γ (landscape) diversity in two alternative ways: multiplicatively () and additively (). We demonstrate that the original habitat specificity concept of Wagner and Edwards (Landscape Ecol 16:121–131, 2001) consists of three independent components: core habitat specificity (uniqueness of the species composition), patch area and patch species richness. We describe habitat specificity as a family of indices that may include either area or richness components, or none or both, and open for use of different types of mean in calculation of core habitat specificity. Core habitat specificity is a beta diversity measure: the effective number of completely distinct communities in the landscape. Habitat specificity weighted by species number is a gamma diversity measure: the effective number of species that a patch contributes to landscape richness. We compared 12 habitat specificity indices by theoretical reasoning and by use of field data (vascular plant species in SE Norwegian agricultural landscapes). Habitat specificity indices are strongly influenced by weights for patch area and patch species richness, and the relative contribution of rare vs. common species (type of mean). The relevance of properties emphasized by each habitat specificity index for evaluation of patches in a biodiversity context is discussed. Core habitat specificity is emphasized as an ecologically interpretable measure that specifically addresses patch uniqueness while habitat specificity weighted by species number combines species richness and species composition in ways relevant for conservation biological assessment. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

网络视频传输技术在水产病害在线诊断与咨询系统中的应用

随着网络技术的飞速发展,网络的应用越来越广泛。视频传输技术,视频流控制技术,带宽技术等新技术的应用,实现了视频和音频等连续媒体在网络中的传输。本文叙述网络视频传输技术在水产病害在线诊断与咨询系统中的应用。     

南海北部张网主要技术参数的变化分析

根据2000～2005年和1983～1985年渔具渔法调查资料,对南海北部张网主要技术参数进行了比较分析。结果表明,与1983～1985年相比,现阶段张网网口纲长、网口网目尺寸和网身末段网目尺寸等稍有增大,网衣拉直长、网囊长和网囊网目尺寸等略有减小,网身长与网囊长之比、网身大头宽与小头宽之比等明显增大,其平均值分别由原来的5．8：1、19．8：1增至现在的13．8：1和26．2：1。张网主要技术参数的变化反映了张网渔具结构已经随着渔业资源的衰退发生了变化,但这种变化并不是积极的、革命性的改革。为合理利用渔业资源和促进张网渔业可持续发展,应根据南海北部渔业资源的特点研究相适应的选择性张网捕捞技术或装置,减少对幼鱼、幼虾资源的损害。     

Modeling the water budget in a deep caldera lake and its hydrologic assessment: Lake Ikeda, Japan

The hydrologic assessment of a lake water budget can be helpful in achieving proper water management and sustainable water use. A model to analyze a lake water budget was developed and verified for Lake Ikeda, Japan. Lake evaporation was estimated by numerical analyses of lake water temperature and the lake energy budget. Inflow from the lake catchment area and leakage from the lake bottom were estimated based on the tank model and Darcy's law, and the model parameters were optimized by the shuffled complex evolution method. The estimated monthly lake evaporation rate is consistent with the evaporation rate estimated by the energy budget Bowen ratio method based on in situ data from 2004 to 2005. Moreover, the calculated time series of daily lake levels agrees well with those of measured lake levels during 1983 to 1999. Thus, the model is useful for evaluating the lake water budget. Numerical analysis reveals seasonal and annual variation characteristics in the water budget components. Precipitation, inflow from the catchment area, and river water supply are generally high during the rainy season from June to July with substantial annual variation. Lake evaporation is greatest in October and least in April, but the annual variation is relatively small. Agricultural water use is relatively high from April to September. There are no marked seasonal changes in leakage and drinking water use. The lake level is generally highest in September and lowest in March, which is characterized by seasonal changes in water budget components. The model was also applied to 17-year simulations under hypothetical hydrologic conditions to examine the effect of water use and agricultural water management on the lake level. Results indicate that river water supply, provided under the agricultural water management system, effectively compensates for the decrease in lake water resulting from agricultural water use.     

Combined use of optical and radar satellite data for the detection of tillage and irrigation operations: Case study in Central Morocco

The objective of this study is to present a new application of optical and radar remote sensing with high spatial (∼10 m) and temporal (a few days) resolutions for the detection of tillage and irrigation operations. The analysis was performed for irrigated wheat crops in the semi-arid Tensift/Marrakech plain (Central Morocco) using three FORMOSAT-2 images and two ASAR images acquired within one week at the beginning of the 2005/2006 agricultural season.The approach we developed uses simple mapping algorithms (band thresholding and decision tree) for the characterisation of soil surface states. The first images acquired by FORMOSAT and ASAR were processed to classify fields into three main categories: ploughed (in depth), prepared to be sown (harrowed), and not ploughed-not harrowed. This information was combined with a change detection analysis based on multitemporal images to identify harrowing and irrigation operations which occurred between two satellite observations.The performance of the algorithm was evaluated using data related to land use and agricultural practices collected on 124 fields. The analysis shows that drastic changes of surface states caused by ploughing or irrigation are detected without ambiguity (consistency index of 96%). This study provided evidence that optical and radar data contain complementary information for the detection of agricultural operations at the beginning of agricultural season. This information could be useful in regional decision support systems to refine crop calendars and to improve prediction of crop water needs over large areas.     

农业车辆视觉实际导航环境识别与分

分析了对路径识别影响较大的变光照环境、杂草环境和阴影环境对农业车辆导航路径的影响,提出一种实际环境中的农业车辆视觉导航研究方法,即先采用神经网络算法对农田环境进行自动分类,然后再相应的选择不同的路径识别方法进行处理.环境识别与分类试验结果证明,该方法能够提高农业车辆视觉导航系统的实用性和可靠性,导航环境的分类准确率为95%,单幅图像平均耗时23 ms.     

无级变速器电子控制单元硬件在环仿真系统

设计了无级变速器电子控制单元硬件在环仿真系统,进行了无级变速器电子控制单元硬件在环仿真试验,并且对仿真测试及优化后的电子控制单元进行了实车试验验证.结果均表明,该系统能够对车辆集成模型与电子控制单元的控制算法进行实时验证及优化控制,为无级变速器电子控制单元开发提供了一个仿真测试平台.