诱饵式远程水下视频技术的研究进展
作者:
作者简介:

欧哲扬(1995–),男,硕士研究生,研究方向为渔业资源,E-mail:37734681@qq.com;吴忠鑫,共同第一作者.

中图分类号:

S931

基金项目:

国家重点研发计划项目(2019YFD0901304); 国家自然科学基金项目(41906125); 辽宁省“百千万人才工程”资助项目(辽人社〔2019〕45 号); 南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项(GML2019ZD0402).


A review of baited remote underwater video (BRUV) technology
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    摘要:

    诱饵式远程水下视频技术(baited remote underwater video, BRUV)是一种用于记录鱼类相对丰度和物种行为的监测技术, 具有无破坏性、成本低且易于复制、适用范围广等优点, 已广泛应用于全球多种栖息地的资源调查与评估, 但目前其研究应用在国内尚属空白。本文系统分析总结了 BRUV 的研究进展, 并对 BRUV 的发展进行了展望。分析结果建议 BRUV 采用前向视角结构可得到更大的视野; 轻巧且易于使用的 GoPro 相机更适合于光线充足的浅海海域(<40 m)调查; 调查时饵料建议采用类似沙丁鱼的油性鱼类, 有利于对肉食性鱼类的诱集; BRUV 使用前, 可通过观测物种数和丰度的累计曲线来确定其合理部署时间, 通常底层 BRUV 60 min 的部署时间已足够。 BRUV 记录期间, 所见到的某一个物种的个体最大数量(MaxN)是 BRUV 表征物种相对丰度时广泛使用的度量指标。本文可为国内利用 BRUV 技术开展鱼类资源调查与评估工作提供参考, 为 BRUV 在我国无破坏性海洋生物调查技术的发展以及在海洋牧场鱼类资源监测中的应用提供支持。

    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.

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欧哲扬,吴忠鑫,张泽鹏,TWEEDLEY James,董世淇,王兆国,高东奎,刘敏,邢彬彬,田涛.诱饵式远程水下视频技术的研究进展[J].中国水产科学,2021,28(10):1359-1372
OU Zheyang, WU Zhongxin, ZHANG Zepeng, TWEEDLEY James, DONG Shiqi, WANG Zhaoguo, GAO Dongkui, LIU Min, XING Binbin, TIAN Tao. A review of baited remote underwater video (BRUV) technology[J]. Journal of Fishery Sciences of China,2021,28(10):1359-1372

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  • 在线发布日期: 2021-10-28
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