Testing a depth‐based Habitat Classification System against reef fish assemblage patterns in a subtropical marine park

• 1. The Solitary Islands Marine Park (SIMP) in New South Wales (NSW), Australia, has strong cross‐shelf patterns of reef fish assemblages on shallow reefs (<25 m). While the SIMP also contains reef at depths of up to 75 m, marine communities below 25 m are poorly described. The Habitat Classification System (HCS) used for planning the arrangement of zones in this marine park included three depth categories for reef: shallow (<25 m); intermediate (25–60 m); and deep (>60 m). However, these had not been tested to determine if they adequately reflect biotic patterns.
• 2. Using baited remote underwater video (BRUV), fish assemblages were surveyed at 56 sites spread across shallow, intermediate, and deep reefs within the SIMP to examine spatial variation between depth categories. Relationships between assemblage patterns, depth, and four additional factors considered likely to affect assemblage patterns (distance from shore, reef type, dominant benthos, and latitude), were subsequently explored using multivariate statistical methods.
• 3. Reef fish assemblages differed significantly among the depth categories. Assemblage patterns for fish were strongly correlated with depth and moderately correlated with the dominant benthic assemblage. Correlations with the other factors were generally weak. Three distinct assemblages occurred on reefs <25 m, 25–50 m and >50 m. Shallow (<25 m) reefs also displayed strong cross‐shelf patterns, supporting the results from other studies. Weaker cross‐shelf patterns were evident at intermediate depths (25–50 m).
• 4. Depth‐based and cross‐shelf categories are clearly fundamental components for a HCS that will adequately represent reef fish assemblages for conservation planning in the SIMP. Further refining the depth criteria for the intermediate/deep boundary (to 50 m) improves this representation. Further research is required to determine the wider application of the refined HCS to other marine parks in NSW and to determine how well it represents other components of biodiversity. Copyright © 2011 John Wiley & Sons, Ltd.

     

The slow rise of technology: Computer vision techniques in fish population connectivity

1. Technological advancements in data collection and analysis are producing a new generation of ecological data. Among these, computer vision (CV) has received increased attention for its robust capabilities for rapidly processing large volumes of digital imagery.
2. In marine ecosystems, the study of fish connectivity provides fundamental information for assessing fisheries stocks, designing and implementing protected areas and understanding the impact of habitat loss. While the field of fish connectivity has benefited from technological advancements, the extent to which novel techniques, such as CV, have been utilized has not been assessed. To inform future directions and developments, this study reviewed the current use of CV in fish connectivity research, quantified how the implementation of such technology in fish connectivity research compared with other areas of marine research and described how this field could benefit from CV.
3. The review found that the use of remote camera systems in fish connectivity research is increasing, but the implementation of automated analysis of digital imagery has been slow. Successful implementation and expansion of CV frameworks in aquaculture and coral reef ecology suggest that CV techniques could greatly benefit fish connectivity research.
4. A case study of potential use of CV in fish connectivity research, scaling up optimal foraging models to predict marine population connectivity, highlights how beneficial it could be.
5. The capacity for CV techniques to be adopted alongside traditional approaches, the unparalleled speed, accuracy and reliability of these approaches and the benefits of being able to study ecosystems along multiple spatial–temporal scales, all make CV a valuable tool for assessing connectivity. Ultimately, these technologies can assist data-driven decisions that directly influence the health and productivity of marine ecosystems.

     

远洋捕捞渔船电子监控视频文字信息提取

计算机图像处理技术发展迅速,基于OCR(Optical Character Recognition)的图像文字提取得到广泛应用。在远洋渔业捕捞中,EMS(Electronic Monitoring System)逐渐开始使用,视频中文字信息提取是系统的重要功能之一。通过左右舷、前甲板、后甲板安装的4个摄像头,获取渔船作业的视频影像,再利用jTessBoxEditor软件生成图片样本,人工添加文字标签,然后通过tesseract软件训练标注的样本,制作traineddata字库,最后用Python编程提取远洋捕捞渔船监控视频中的时间、位置、航速、航向等信息,提取的960条记录,经与原图片对比全部正确,提取的文字信息可为视频存档和渔业管理提供参考。     

基于视频处理的分层流持液率测量

截面持液率是气液两相流的基本参数之一。在气液两相实验系统上进行实验,采用高速摄像机系统获取了水平管气液两相流流型视频,提出了一种针对两相流动视频实现持液率检测的新方法。该方法针对自然光下拍摄的气液两相分层流图像气液区域与气液界面模糊、边缘难以直接提取的难点,采用新的递变规律加强图像的灰度使画面效果清晰化,通过中间线计算法提取气液边界线,进而通过提取的气液界面距离管底高度数据,计算管路持液率,其中包括同一帧图像不同截面的持液率以及同一截面持液率随时间的变化情况。实践证明：在自然光干扰较大的拍摄条件下,该方法能够获得连续、清晰的气液相边界,可推广应用于其他流型图像的分析和检测。（图9,参8）。     

淮安市现代农业远程视频监控平台建设探讨

介绍淮安市现代农业远程视频监控平台建设情况,重点分析了平台框架构成、建设成果和多种效益,突出了经验做法、特色亮点,提出了下一步计划打算。     

公开视频课程模块化体系研究

以控制工程基础课程为研究对象,对公开视频课程体系建设进行研究和探索。针对目前公开视频课存在的问题,在对试点班级需求分析的基础上提出了控制工程基础视频公开课程相应合理的方案。探讨了该公开视频课程体系的框架模块化发展,说明依托现代网络平台示范教学与在线学习成为课堂教学的有益补充,促进了优质教学资源的共享。     

Real-Time Self-Photographing Technology in the Virtual Environment

As a new technology towards 21st century, the occurs of the virtual reality technology is a result of computer graphic, human machine interface technology, sensor technology and artificial intelligence. The real time self photographing technology based on the virtual environment is a typical application of this virtual reality technique. A series of things has been discussed and studied ,such as visual reality,video intercept and so on,and the real time self photographing system based on the technology of blue background image extracting. A new arithmetic is emphasized which is produced during study and exploitation.It is image fusion technique based on the contrast appreciate characteristic.     

盐胁迫对燕麦种子萌发期蛋白质组影响的研究

为探析盐胁迫下燕麦种子萌发时蛋白质的差异表达及其相关生理功能分析,比较了燕麦在不同浓度氯化钠溶液处理下种子的萌发及幼苗生长能力,然后采用二维凝胶电泳结合基质辅助激光解析飞行时间质谱的蛋白质组学方法分析种子在0和1%氯化钠溶液处理种子萌发时的蛋白质组差异表达。结果表明:随着盐胁迫的加剧,燕麦种子的萌发力和成苗率降低。蛋白质组分析显示:1%氯化钠溶液处理使得燕麦种子蛋白质组二维凝胶中11个蛋白质点表达发生变化,其中10个蛋白质点表达量上调。质谱鉴定得到3个可靠蛋白,分别为:燕麦蛋白、燕麦蛋白N9和蛋白质二硫键异构酶。这些蛋白的差异表达可能与盐分胁迫下燕麦种子萌发的生理活动有关联。     

适用于水稻微粒体蛋白的双向电泳技术及苯达松抗性相关蛋白的初步分析

针对不同来源的样品，建立相应的双向电泳(two-dimensional gel electrophoresis, 2-DE)技术是开展蛋白质组学研究的基础。以野生型水稻(O. sativa L.)农林8号(N8)及其苯达松敏感致死(bentazon sensitive lethal, bsl)突变体农林8号m (N8m)为材料，通过优化条件，建立了适合于水稻微粒体蛋白的双向电泳技术。并通过双向电泳图谱的比对，共找到15个差异蛋白点，分为供试材料间差异、苯达松处理前后差异和N8在苯达松处理后特异表达等3种类型。结合苯达松抗性比较及苯达松残留分析，推测材料间差异是因γ射线辐照引起基因结构变异，从而影响了基因的表达；苯达松处理前后差异与氧自由基清除酶系或系统获得抗性相关酶系有关；N8在苯达松处理后特异表达与苯达松代谢有关。     

小麦V-CMS和杂种F1代线粒体蛋白质组表达差异

本研究以V型小麦恢复基因的近等基因系为基础材料,运用蛋白质组学技术对V-CMS及杂种F1黄化苗和幼穗时期线粒体蛋白质表达图谱进行了比较,分析了差异蛋白质点与CMS的关系.主要结果如下:(1)比较了黄化苗和幼穗线粒体蛋白质的表达图谱,鉴定了10个差异表达的蛋白质点,包括与能量代谢有关的F0-F1ATP酶复合物的亚基和一些...