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首页> 外文期刊>Fishery Bulletin >Integration of submersible transect data and high-resolution multibeam sonar imagery for a habitat-based groundfish assessment of Heceta Bank, Oregon
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Integration of submersible transect data and high-resolution multibeam sonar imagery for a habitat-based groundfish assessment of Heceta Bank, Oregon

机译:整合潜水样带数据和高分辨率多束声纳图像,进行俄勒冈州Heceta Bank基于栖息地的底层鱼类评估

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摘要

In the face of dramatic declines in groundfish populations and a lack of sufficient stock assessment information, a need has arisen for new methods of assessing groundfish populations. We describe the integration of seafloor transect data gathered by a manned submersible with high-resolution sonar imagery to produce a habitat-based stock assessment system for groundfish. The data sets used in this study were collected from Heceta Bank, Oregon, and were derived from 42 submersible dives (1988-90) and a multibeam sonar survey (1998). The submersible habitat survey investigated seafloor topography and groundfish abundance along 30-minute transects over six predetermined stations and found a statistical relationship between habitat variability and groundfish distribution and abundance. These transects were analyzed in a geographic information system (GIS) by using dynamic segmentation to display changes in habitat along the transects. We used the submersible data to extrapolate fish abundance within uniform habitat patches over broad areas of the bank by means of a habitat classification based on the sonar imagery. After applying a navigation correction to the submersible-based habitat segments, a good correlation with major boundaries on the backscatter and topographic boundaries on the imagery were apparent. Extrapolation of the extent of uniform habitats was made in the vicinity of the dive stations and a preliminary stock assessment of several species of demersal fish was calculated. Such a habitat-based approach will allow researchers to characterize marine communities over large areas of the seafloor.
机译:面对底层鱼类种群的急剧下降和缺乏足够的种群评估信息,出现了评估底层鱼类种群的新方法的需求。我们描述了由载人潜水器与高分辨率声纳图像收集的海底样面数据的集成,以产生基于栖息地的底层鱼类种群评估系统。本研究中使用的数据集是从俄勒冈州的Heceta Bank收集的,其数据来自42次潜水(1988-90)和多波束声纳调查(1998)。潜水栖息地调查调查了六个预定站点沿30分钟样带的海底地形和底层鱼类的丰度,并发现了栖息地变异性与底层鱼类分布和丰度之间的统计关系。这些断面在地理信息系统(GIS)中进行了分析,方法是使用动态分段显示沿断面的栖息地变化。通过基于声纳图像的栖息地分类,我们使用潜水数据推断了河岸宽阔区域内统一栖息地斑块内的鱼类丰度。在对基于潜水器的栖息地部分进行导航校正后,与后向散射的主要边界和影像上的地形边界之间的良好相关性显而易见。在潜水站附近对统一栖息地的范围进行了推断,并计算了几种水下鱼类的初步种群评估。这种基于栖息地的方法将使研究人员能够表征海底大面积上的海洋群落。

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