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<p>The lack of regular monitoring actions associated with high costs and long-lasting taxonomic expertise prevents the environmental assessment and implementation of conservation strategies in many regions of the World Ocean, especially in the tropical Large Marine Ecosystems, like the Gulf of Guinea, a basin influenced by numerous anthropogenic threats associated with oil excavation, and at the same time, very scarcely studied. Our study aimed to compare the effectiveness of the standard monitoring protocols based on Van Veen grab samples, with video recordings obtained using a Remotely Operated Vehicle (ROV) along the coast of Ghana in the 250–1000&#xa0;m depth gradient. We have applied a variety of multivariate methods and diversity measures to analyse responses of benthic communities to multiple environmental factors of natural and anthropogenic origin. Even though both gears collect completely different faunas and pointed at possible sampling bias associated with specific features of each sampling gear, the analysis allowed to detect the same most important disturbance agents, like barium and hydrocarbons. The ROV material allowed for relatively quick taxonomic analysis and provided a reliable dataset allowing to obtained results of efficiency and reliability comparable to grab samples that are more effort-consuming for the taxonomic analysis.</p>

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Effectiveness of video imaging in monitoring of tropical soft-bottom communities impacted by human activities: a comparison with a physical sampler

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月18日

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  • Piotr Jóźwiak,
  • Krzysztof Podwysocki,
  • Anna Stępień,
  • Robert Sobczyk,
  • Bjørn Serigstad,
  • Krzysztof Pabis

摘要

The lack of regular monitoring actions associated with high costs and long-lasting taxonomic expertise prevents the environmental assessment and implementation of conservation strategies in many regions of the World Ocean, especially in the tropical Large Marine Ecosystems, like the Gulf of Guinea, a basin influenced by numerous anthropogenic threats associated with oil excavation, and at the same time, very scarcely studied. Our study aimed to compare the effectiveness of the standard monitoring protocols based on Van Veen grab samples, with video recordings obtained using a Remotely Operated Vehicle (ROV) along the coast of Ghana in the 250–1000 m depth gradient. We have applied a variety of multivariate methods and diversity measures to analyse responses of benthic communities to multiple environmental factors of natural and anthropogenic origin. Even though both gears collect completely different faunas and pointed at possible sampling bias associated with specific features of each sampling gear, the analysis allowed to detect the same most important disturbance agents, like barium and hydrocarbons. The ROV material allowed for relatively quick taxonomic analysis and provided a reliable dataset allowing to obtained results of efficiency and reliability comparable to grab samples that are more effort-consuming for the taxonomic analysis.