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A novel technological and collaborative approach to mapping deep-sea benthic habitats and assessing risks from bottom contact fishing

机译:一种新颖的技术和协作方法,用于绘制深海底栖生物栖息地并评估海底接触捕鱼的风险

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摘要

Bottom longline fishing gear can damage sensitive benthic areas (SBAs) in the ocean; however, the risks to these habitats are poorly understood. In this study we describe a collaborative academic-industry-government approach to mapping SBAs and measuring gear interactions with seafloor habitats via novel deepwater trap camera and motion-sensing systems on commercial longline traps for Sablefish (Anoplopoma fimbria) within the SGaan Kinghlas - Bowie Seamount Marine Protected Area. We obtained direct presence-absence observations of cold-water corals and sponges that were used to develop species distribution models of gorgonian corals (Alcyonacea) in fished areas. Video, accelerometer and depth sensor data were used to classify gear movement, estimating a mean bottom footprint of 3 200 m2 (95% CI = 2 400 - 3 900 m2) for a 60-trap Sablefish longline set approximately 3 km in length. Our successful collaboration demonstrates how research partnerships with the fishing industry offer new opportunities for conducting SBA risk assessments over large spatial and temporal scales.
机译:底部延绳钓渔具会损坏海洋中敏感的底栖区域(SBA);但是,人们对这些栖息地的风险知之甚少。在这项研究中,我们描述了一种学术,行业,政府合作的方法,用于通过SGaan Kinghlas-Bowie Seamount中的商业化延绳钓诱捕装置将延缓SBA进行测绘并通过新型深水诱集照相机和运动传感系统测量与海底栖息地的渔具相互作用。海洋保护区。我们获得了冷水珊瑚和海绵的直接存在-不存在观察,这些观察用于开发垂钓地区的高等珊瑚(Alcyonacea)的物种分布模型。视频,加速度计和深度传感器数据用于对齿轮运动进行分类,对于一条长度约3 km的60尾Sablefish延绳钓线,估计平均底部足迹为3200平方米(95%CI = 2400-3 900平方米)。我们成功的合作展示了与捕捞业的研究合作伙伴关系如何为在较大的时空尺度上进行SBA风险评估提供新的机会。

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    Doherty Beau Gordon Allan;

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  • 年度 2016
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