Journal article
诱饵式远程水下视频技术的研究进展 (A review of baited remote underwater video (BRUV) technology)
Journal of Fishery Sciences of China, Vol.28(10), pp.1359-1372
2021
Abstract
Baited remote underwater video (BRUV) technology is a monitoring technique used to record the relative abundance and behavior of fish species. The benefits of using BRUVs have been well documented, including their non-destructive nature, replicability, and suitability for various habitat types and water depths. However, although BRUVs have been extensively used worldwide for over 20 years, no such studies have been undertaken in China. Here, we reviewed 278 scientific documents relating to BRUVs published between January 2006 and March 2020. For BRUV surveys in China, we recommend that BRUVs should use (i) a forward-facing camera to maximize the field of view; (ii) lightweight and easy to use GoPro cameras, which are suitable for shallow, well-lit waters (<40 m deep); and (iii) oily fish such as clupeids (sardines and pilchards) as bait to attract carnivorous fish. Prior to using BRUVs, pilot studies should be conducted to quantitatively determine (e.g., using accumulation curves) the necessary deployment time. Generally, a running period of 60 min is sufficient for benthic BRUVs, although this would differ depending on the location. In terms of monitoring, the maximum number of observed individuals of a species in a single video frame (MaxN) is a widely accepted metric characterizing the relative abundance of species.
Details
- Title
- 诱饵式远程水下视频技术的研究进展 (A review of baited remote underwater video (BRUV) technology)
- Authors/Creators
- Zheyang OuZhongxin WuZepeng ZhangJames R Tweedley (Author)Shiqi DongZhaoguo WangDongkui GaoMin LiuBinbin XingTao Tian
- Publication Details
- Journal of Fishery Sciences of China, Vol.28(10), pp.1359-1372
- Publisher
- CHINA SCIENCE PUBLISHING & MEDIA LTD
- Identifiers
- 991005632069807891
- Murdoch Affiliation
- Centre for Sustainable Aquatic Ecosystems; School of Environmental and Conservation Sciences
- Language
- Chinese
- Resource Type
- Journal article
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