Pathways for converting zooplankton traits to ecological insights are paved with findable, accessible, interoperable, and reusable (FAIR) data practicesSorbonne Université, CNRS, IRD, MNHN, Laboratoire d’Océanographie et du Climat: Expérimentations et Approches Numériques, LOCEAN-IPSL, Paris, France; Institute of Biogeochemistry and Pollutant Dynamics. ETH Zürich, Zürich, Switzerland.
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.
Skidaway Institute of Oceanography, University of Georgia, Savannah GA, United States.
Skidaway Institute of Oceanography, University of Georgia, Savannah GA, United States.
Akvaplan-niva, Fram Centre, Tromsø, Norway.
Australian Rivers Institute, School of Environment and Science, Griffith University, Nathan QLD, Australia.
St. Andrews Biological Station, Fisheries and Oceans Canada, St. Andrews, New Brunswick, Canada.
Institut universitaire de France (IUF), Paris, France; Sorbonne Université, Laboratoire d’Océanographie de Villefranche, UMR 7093, CNRS, Institut de la Mer de Villefranche, Villefranche sur mer, France.
Akvaplan-niva, Trondheim, Norway.
Institute for the Oceans and Fisheries, University of British Columbia, Vancouver BC, Canada; Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver BC, Canada.
Marine Biotechnology Post-Graduation Program (PPGBM), IEAPM/UFF, Niterói, Rio de Janeiro, Brazil; Flanders Marine Institute (VLIZ), Ostend, Belgium.
National Institute of Aquatic Resources (DTU Aqua), Technical University of Denmark, Kgs. Lyngby, Denmark.
Scottish Oceans Institute, University of St Andrews, Gatty Marine Laboratory, St Andrews, United Kingdom.
Marine and Freshwater Research Institute (MFRI), Hafnafjörður, Iceland.
Institut universitaire de France (IUF), Paris, France; Sorbonne Université, CNRS, Laboratoire d’Océanographie de Villefranche (LOV), Villefranche-sur-Mer, France.
Department of Biological and Environmental Sciences and Technologies (DiSTeBA), University of Salento, Lecce, Italy.
National Research Council (CNR), Research Institute for Terrestrial Ecosystems (IRET), Lecce, Italy.
The Australian Centre for Excellence in Antarctic Science, University of Tasmania, Hobart, Australia.
Institute for the Oceans and Fisheries, University of British Columbia, Vancouver BC, Canada; Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver BC, Canada.
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2025 (English)In: ICES Journal of Marine Science, ISSN 1054-3139, E-ISSN 1095-9289, Vol. 82, no 2, article id fsaf017Article in journal (Refereed) Published
Abstract [en]
The use of trait-based approaches and trait data in zooplankton ecology is rapidly growing to better understand and predict the patterns of zooplankton distributions and their role in aquatic ecosystems and biogeochemical cycles. Although the number of zooplankton trait-based studies and available trait datasets is increasing, several challenges remain for the findability, accessibility, interoperability, and reusability (FAIR) in trait-based approaches that, if unaddressed, may stifle progress in this research area. Here, we review recent applications of trait-based approaches in zooplankton research and summarize the currently available trait data resources. To realize the potential of trait-based approaches to resolve ecological roles of zooplankton, datasets and approaches must adhere to FAIR principles. We provide recommendations and pathways forward to ensure FAIRness while highlighting the importance of collaborative efforts. These practical and easily implementable strategies will enhance the FAIRness of trait data, ultimately advancing zooplankton ecological research and connecting these findings to aquatic ecosystem functioning.
Place, publisher, year, edition, pages
Oxford University Press, 2025. Vol. 82, no 2, article id fsaf017
Keywords [en]
trait, zooplankton, FAIR, trait-based approaches
National Category
Ecology
Identifiers
URN: urn:nbn:se:oru:diva-119940DOI: 10.1093/icesjms/fsaf017ISI: 001436188400001Scopus ID: 2-s2.0-105000806561OAI: oai:DiVA.org:oru-119940DiVA, id: diva2:1944844
Note
P.P. was supported by a Natural Sciences and Engineering Research Council of Canada Doctoral Fellowship, MEOPAR grant NCE 2-02-03-038.2, Canadian Space Agency grant FAST 50568, and Brian Hunt’s NSERC Discovery Gran tRGPIN-2017-04499. J.T. was supported by the project ‘Italian Integrated Environmental Research Infrastructure System’ (ITINERIS) in the framework of Next Generation EU PNRR—Mission 4 ‘Education and Research’—Component 2: ‘From research to business’—Investment 3.1: ‘Fund for the realisation of an integrated system of research and innovation infrastructures’, Notice 3264/2021, IR0000032, CUP B53C22002150006. C.R. has received funding from European Union’s Horizon 2020 Research and Innovation Project Mission Atlantic (grant # 862428) and by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brasil (CAPES) (Finance Code 001). J.T. and P.P. would also like to acknowledge the support received through the North Pacific Marine Science Organization (PICES) travel grant, which ensured their successful participation at the 7th International Zoo-plankton Production Symposium in Hobart, Australia.
2025-03-172025-03-172026-01-23Bibliographically approved