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Acoustic seabed classification: identifying fish and macro-epifaunal habitats

机译:声海底分类:识别鱼类和大型海洋生物栖息地

摘要

Increasing use of seabed resources and the effects of fishing on the seabed requires an urgent need to assess the extent and diversity of those habitats affected. Traditional techniques of site-specific sampling do not adequately map the extent of seabed habitats and prone to overlooking uncommon habitats. Assessing the utility of remote sampling techniques such as swath bathymetry and acoustic ground-discrimination systems is important because they provide a predictive basis for better-targeted benthic sampling. Acoustic surveys were conducted in conjunction with traditional biological sampling methods at eight study sites selected for differences in demersal fish abundance, in the Irish Sea. Using a 2-m and 3-m beam trawl, distinct fish and macro-epifaunal assemblages were identified. These were strongly associated with acoustically distinct habitats identified using QTC VIEW. Sidescan images provided detailed information on surface texture and gross substrata types, whilst sediment samples were used effectively to ground-truth acoustically distinct habitats. An index of habitat complexity was correlated with acoustic data, which provided an effective assessment method for mapping the spatial extent of fish and macro-epibenthic
机译:越来越多地利用海底资源和捕鱼对海底的影响,迫切需要评估这些受影响生境的范围和多样性。传统的针对特定地点的采样技术无法充分反映海底栖息地的范围,并且容易忽视罕见的栖息地。评估远程采样技术(例如条幅测深法和声学地面识别系统)的实用性很重要,因为它们为目标明确的底栖生物采样提供了预测基础。在爱尔兰海,根据八个深海鱼类丰富度差异的研究地点,结合传统的生物采样方法进行了声学调查。使用2米和3米的拖网拖网,可以识别出不同的鱼类和大型鸟类组合。这些与使用QTC VIEW确定的在声学上不同的栖息地密切相关。侧面扫描图像提供了有关表面质地和总基质类型的详细信息,而沉积物样本则被有效地用于对真实存在的声学生境进行地面真相分析。栖息地复杂度指数与声学数据相关,这为绘制鱼类和大型上底栖动物的空间范围提供了一种有效的评估方法

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