First fish fauna assessment in the Fernando de Noronha Archipelago with BRUVS: Species catalog with underwater imagery.: Fishes Checklist

Fish fauna assessments with traditional catch methods are undesired in marine reserves. Underwater visual census on the other hand is biased due to fish-diver interactions, such as shyness or avoidance behavior of large-bodied target species. This study presents the first marine ichthyofauna inventory of the Fernando de Noronha Archipelago, off northeastern Brazil, sampled with non-destructive, independent Baited Remote Underwater Video Systems (BRUVS). High fish species richness, totaling 66 species from 28 families and 10 orders, including five elasmobranch species and other large predatory fish, such as barracudas, groupers and snappers, were recorded from 81 underwater video samples. Additionally, all of the 4,398 individuals sighted were associated to up to four different benthic habitat types. A catalog of underwater fish images and a detailed species list with additional information, such as conservation status, are provided.在海洋保护区内，采用传统捕捞法开展鱼类区系评估并不适宜。与之相对的水下目视普查法，却会因鱼类与潜水员的交互行为产生观测偏差，例如大型目标鱼种的畏缩或躲避行为。本研究首次针对巴西东北部外海的费尔南多·迪诺罗尼亚群岛开展海洋鱼类区系编目，采样采用无损式独立诱饵远程水下视频系统（Baited Remote Underwater Video Systems，BRUVS）。通过81组水下视频样本，共记录到28科10目共66种鱼类，物种丰富度较高，其中包含5种软骨鱼纲物种以及梭子鱼、石斑鱼、笛鲷等大型掠食性鱼类。此外，本次观测到的4398尾个体，均与至多4种不同的底栖生境类型相关联。本研究同时提供了水下鱼类图像目录，以及包含保护状况等附加信息的详细物种名录。