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Observing change in pelagic animals as sampling methods shift: the case of Antarctic krill

Hill, Simeon L, ORCID: https://orcid.org/0000-0003-1441-8769; Atkinson, Angus; Arata, Javier; Belcher, Anna ORCID: https://orcid.org/0000-0002-9583-5910; Bengtson-Nash, Susan; Bernard, Kim S.; Cleary, Alison ORCID: https://orcid.org/0000-0001-9880-5816; Conroy, John; Driscoll, Ryan; Fielding, Sophie ORCID: https://orcid.org/0000-0002-3152-4742; Flores, Hauke; Forcada, Jaume ORCID: https://orcid.org/0000-0002-2115-0150; Halfter, Svenja; Hinke, Jefferson; Hückstädt, Luis; Johnston, Nadine M.; Kane, Mary; Kawaguchi, So; Krafft, Bjørn A.; Krüger, Lucas; La, Hyoung Sul; Liszka, Cecilia ORCID: https://orcid.org/0000-0003-1309-4045; Meyer, Bettina; Murphy, Eugene ORCID: https://orcid.org/0000-0002-7369-9196; Pakhomov, Evgeny; Perry, Frances; Piñones, Andrea; Polito, Michael J.; Reid, Keith; Reiss, Christian; Rombola, Emilce; Saunders, Ryan A. ORCID: https://orcid.org/0000-0002-1157-7222; Schmidt, Katrin; Sylvester, Zephryr; Takahashi, Akinori; Tarling, Geraint A. ORCID: https://orcid.org/0000-0002-3753-5899; Trathan, Philip N. ORCID: https://orcid.org/0000-0001-6673-9930; Veytia, Devi; Watters, George; Xavier, José C. ORCID: https://orcid.org/0000-0002-9621-6660; Yang, Guang. 2024 Observing change in pelagic animals as sampling methods shift: the case of Antarctic krill. Frontiers in Marine Science, 11. 20, pp. https://doi.org/10.3389/fmars.2024.1307402

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Copyright © 2024 Hill, Atkinson, Arata, Belcher, Nash, Bernard, Cleary, Conroy, Driscoll, Fielding, Flores, Forcada, Halfter, Hinke, Hückstädt, Johnston, Kane, Kawaguchi, Krafft, Krüger, La, Liszka, Meyer, Murphy, Pakhomov, Perry, Piñones, Polito, Reid, Reiss, Rombola, Saunders, Schmidt, Sylvester, Takahashi, Tarling, Trathan, Veytia, Watters, Xavier and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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Abstract/Summary

Understanding and managing the response of marine ecosystems to human pressures including climate change requires reliable large-scale and multi-decadal information on the state of key populations. These populations include the pelagic animals that support ecosystem services including carbon export and fisheries. The use of research vessels to collect information using scientific nets and acoustics is being replaced with technologies such as autonomous moorings, gliders, and meta-genetics. Paradoxically, these newer methods sample pelagic populations at ever-smaller spatial scales, and ecological change might go undetected in the time needed to build up large-scale, long time series. These global-scale issues are epitomised by Antarctic krill (Euphausia superba), which is concentrated in rapidly warming areas, exports substantial quantities of carbon and supports an expanding fishery, but opinion is divided on how resilient their stocks are to climatic change. Based on a workshop of 137 krill experts we identify the challenges of observing climate change impacts with shifting sampling methods and suggest three tractable solutions. These are to: improve overlap and calibration of new with traditional methods; improve communication to harmonise, link and scale up the capacity of new but localised sampling programs; and expand opportunities from other research platforms and data sources, including the fishing industry. Contrasting evidence for both change and stability in krill stocks illustrates how the risks of false negative and false positive diagnoses of change are related to the temporal and spatial scale of sampling. Given the uncertainty about how krill are responding to rapid warming we recommend a shift towards a fishery management approach that prioritises monitoring of stock status and can adapt to variability and change.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.3389/fmars.2024.1307402
ISSN: 2296-7745
Additional Keywords: ecosystem monitoring, population change, Antarctic kill, fishery management, new technologies
Date made live: 08 Mar 2024 10:23 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/533907

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