Complementary Non-invasive Fish Monitoring Distinguishes Depth-Dependent Fish Communities

Q1 Agricultural and Biological Sciences
Ewan Burns, Vijini Mallawaarachchi, Thomas M. Clarke, Belinda Martin, Joseph D. DiBattista, Jamie Hicks, Danny Brock, Elizabeth A. Dinsdale, Charlie Huveneers, Michael P. Doane
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Abstract

Human activities are increasingly affecting marine environments, with fish communities serving as critical indicators of ecosystem health. Effective management of marine fishes is imperative for maintaining the balance of marine ecosystems, necessitating comprehensive monitoring strategies. We used baited remote underwater video systems (BRUVS) and environmental DNA (eDNA) survey methods to assess fish communities across four offshore islands and seamount groups in Australia's eastern Great Australian Bight (GAB). Employing a paired sampling design, we conducted 32 BRUVS deployments and collected 32 eDNA samples in tandem. We compared the taxonomic and functional diversity of fish detected by these two methods and explored fish assemblage within the eastern GAB. Our findings demonstrated that BRUVS and eDNA data were complementary to each other, with each approach detecting distinct segments of the fish community. Only 17 of the 102 species recorded were detected by both methods and combining these two datasets resulted in a 40% increase in species-level detections compared to either method alone. BRUVS predominantly identified benthic and demersal fish, whereas eDNA predominately identified pelagic species, including species of conservation (e.g., white sharks) and commercial significance (e.g., southern bluefin tuna). Yet, both methods distinguished depth-dependent communities within a single sampling site. These findings emphasize the value of integrating multiple approaches for enhanced fish species detection, offering valuable insights into future biodiversity monitoring and conservation efforts.

Abstract Image

补充性非侵入式鱼类监测可区分深度依赖性鱼类群落
人类活动对海洋环境的影响越来越大,鱼类群落是生态系统健康的重要指标。有效管理海洋鱼类对维持海洋生态系统的平衡至关重要,因此需要采取全面的监测策略。我们使用了诱饵远程水下视频系统(BRUVS)和环境DNA (eDNA)调查方法来评估澳大利亚东部大澳大利亚湾(GAB)四个近海岛屿和海山群的鱼类群落。采用配对采样设计,我们进行了32次BRUVS部署,并串联收集了32个eDNA样本。我们比较了这两种方法检测到的鱼类的分类和功能多样性,并探讨了东部GAB内的鱼类组合。我们的研究结果表明,BRUVS和eDNA数据是互补的,每种方法都能检测到鱼类群落的不同部分。在记录的102个物种中,只有17个物种被两种方法检测到,与单独使用一种方法相比,这两种数据集的结合导致物种水平的检测增加了40%。BRUVS主要识别底栖和底栖鱼类,而eDNA主要识别远洋物种,包括具有保护意义的物种(如白鲨)和具有商业价值的物种(如南方蓝鳍金枪鱼)。然而,这两种方法在单个采样点内都区分了深度依赖的群落。这些发现强调了整合多种方法来增强鱼类物种检测的价值,为未来的生物多样性监测和保护工作提供了有价值的见解。
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来源期刊
Environmental DNA
Environmental DNA Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
11.00
自引率
0.00%
发文量
99
审稿时长
16 weeks
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