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<p>The future productivity of pelagic ecosystems and fisheries globally remains uncertain due to a lack of data on mid-trophic mesopelagic micronekton communities. Here, we demonstrate that integrating readily available autonomous profiling floats with autonomous echosounders enables vertically resolved abundance estimates of mesopelagic micronekton communities, a platform we are naming the “Sonophore”. This successful demonstration is a first step towards addressing critical data gaps identified by fisheries management, earth system and ecosystem modelling communities. With planned engineering enhancements, this platform offers a scalable solution for rapid, cost-effective, year-round monitoring of the planet’s largest vertebrate (but deeply uncertain) biomass. The platform is specifically designed for long-term monitoring of remote and spatially extensive oceanic habitats of the global ocean, without the need for large, expensive research vessels.</p>

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Sonophore enables autonomous observation of micronekton communities in the ocean twilight zone

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月2日

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  • Ryan A. Downie,
  • Peter Jansen,
  • Gavin J. Macaulay,
  • Yoann Ladroit,
  • Heidi R. Pethybridge,
  • Simon J. Nicol,
  • Campbell R. Davies

摘要

The future productivity of pelagic ecosystems and fisheries globally remains uncertain due to a lack of data on mid-trophic mesopelagic micronekton communities. Here, we demonstrate that integrating readily available autonomous profiling floats with autonomous echosounders enables vertically resolved abundance estimates of mesopelagic micronekton communities, a platform we are naming the “Sonophore”. This successful demonstration is a first step towards addressing critical data gaps identified by fisheries management, earth system and ecosystem modelling communities. With planned engineering enhancements, this platform offers a scalable solution for rapid, cost-effective, year-round monitoring of the planet’s largest vertebrate (but deeply uncertain) biomass. The platform is specifically designed for long-term monitoring of remote and spatially extensive oceanic habitats of the global ocean, without the need for large, expensive research vessels.