Using a baited imaging sonar (BISON) to quantify the density, size, and detection range of fishes in a shallow, nearshore habitat

Author:

Sibley Edward C. P.12ORCID,Boswell Kevin M.3,Binder Benjamin M.3,White Allison L.3,Mell Aedan M.3,Scott Beth E.1,Madgett Alethea S.24,Elsdon Travis S.56,Marnane Michael J.56,Fernandes Paul G.7

Affiliation:

1. School of Biological Sciences University of Aberdeen Aberdeen UK

2. The National Decommissioning Centre Newburgh Aberdeenshire UK

3. Marine Ecology and Acoustics Lab, Department of Biology Florida International University North Miami Beach Florida USA

4. School of Engineering University of Aberdeen Aberdeen UK

5. Chevron Energy Technology Perth Western Australia Australia

6. School of Molecular and Life Sciences Curtin University Bentley Western Australia Australia

7. The Lyell Centre Heriot‐Watt University Edinburgh UK

Abstract

AbstractMethods that supplement optical instruments with bait, such as baited remote underwater video (BRUV), are used worldwide to detect and quantify marine life. Optical instruments only detect targets within visible range, such that BRUVs may underestimate fishes in light‐limited habitats, especially fishes that respond to the bait at ranges beyond visibility. Alternatively, light‐independent instruments (e.g., imaging sonars) can detect and quantify fishes regardless of visibility. This study presents the first application of a baited imaging sonar (BISON), deployed to survey fishes around a small, shallow artificial habitat in a turbid embayment in southern Florida. To establish the influence of bait on fish detection, BISON trials were alternately conducted alongside deployments of an unbaited control, with a high‐definition camera integrated to ascertain visibility and inform species composition. For fishes of two size classes, larger (> 30 cm) and smaller (10–30 cm), maximum density (MaxD) and range of detection were quantified. Although the densities of larger and smaller fishes quantified by the BISON and unbaited control did not differ, over 55% of larger fishes were detected at ranges beyond maximum visibility, with asymptotes in fish density on the BISON identified at 15–20 min and 5–10 min for larger and smaller fishes, respectively. Overall, this study demonstrates the potential of BISONs as both a complementary and alternative method to BRUVs for quantifying fishes, especially in habitats of limited visibility. Future applications of BISONs in other habitats will further demonstrate its value as a tool to detect and enumerate aquatic assemblages.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3