Integrating ocean observations across body‐size classes to deliver benthic invertebrate abundance and distribution information

Ruhl, H.A.; Bett, B.J.; Ingels, J.; Martin, A.; Gates, A.R.; Yool, A.; Benoist, N.M.A.; Appeltans, W.; Howell, K.L.; Danovaro, R.

doi:/10.1002/lol2.10332

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Integrating ocean observations across body‐size classes to deliver benthic invertebrate abundance and distribution information

Ruhl, H.A.; Bett, B.J.; Ingels, J.; Martin, A.; Gates, A.R.; Yool, A.; Benoist, N.M.A.; Appeltans, W.; Howell, K.L.; Danovaro, R. (2023). Integrating ocean observations across body‐size classes to deliver benthic invertebrate abundance and distribution information. Limnology and Oceanography Letters 8(5): 692-706. https://dx.doi.org/10.1002/lol2.10332

In: Limnology and Oceanography Letters. John Wiley & Sons: Hoboken. ISSN 2378-2242; e-ISSN 2378-2242

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VLIZ: Open access 392266 [ download pdf ]

Keyword

Marine/Coastal

Author keywords

DEEP;BIOMASS;SPECTRA;MODEL;DIVERSITY;CLASSIFICATION;MEGABENTHOS;MEIOFAUNA;CLIMATE;TRAWL

Authors		Top
Ruhl, H.A. Bett, B.J. Ingels, J., more Martin, A.	Gates, A.R. Yool, A. Benoist, N.M.A.	Appeltans, W., more Howell, K.L. Danovaro, R.

Abstract

Invertebrate animals living at the seafloor make up a prominent component of life globally, spanning 10 orders of magnitude in body size over 71% of Earth's surface. However, integrating information across sizes and sampling methodologies has limited our understanding of the influence of natural variation, climate change and human activity. Here, we outline maturing practices that can underpin both the feasibility and impact of establishing Benthic Invertebrate Abundance and Distribution as a Global Ocean Observing System—Essential Ocean Variable, including: (1) quantifying individual body size, (2) identifying the well-quantified portions of sampled body-size spectra, (3) taking advantage of (semi-)automated information processing, (4) application of metadata standards such as Darwin Core, and (5) making data available through internationally recognized access points. These practices enable broader-scale analysis supporting research and sustainable development, such as assessments of indicator taxa, biodiversity, biomass, and the modeling of carbon stocks and flows that are contiguous over time and space.

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