FUN Azores: a FUNctional Trait Database for the Meio-, Macro-, and Megafauna From the Azores Marine Park (Mid-Atlantic Ridge)

  • Neus Campanyà-Llovet
  • , Amanda E. Bates
  • , Daphne Cuvelier
  • , Eva Giacomello
  • , Diana Catarino
  • , Andrew J. Gooday
  • , Björn Berning
  • , Blanca Figuerola
  • , Manuel A. E. Malaquias
  • , Carlos J. Moura
  • , Joana R. Xavier
  • , Tracey Sutton
  • , Laurence Fauconnet
  • , Sofia P. Ramalho
  • , Bárbara de Moura Neves
  • , Gui M. Machado
  • , Tammy Horton
  • , Andrey V. Gebruk
  • , Kirill Minin
  • , Joël Bried
  • Tina Molodtsova, Mónica A. Silva, Anna Dilman, Antonina Kremenetskaia, Eudriano F. S. Costa, Jameson Clarke, Helen R. Martins, Christopher K. Pham, Marina Carreiro-Silva, Ana Colaço

Research output: Contribution to journalArticlepeer-review

Abstract

Trait-based approaches that complement taxonomy-based studies have increased in popularity among the scientific community over the last decades. The collection of biological and ecological characteristics of species (i.e., traits) provides insight into species and ecosystem vulnerability to environmental and anthropogenic changes, as well as ecosystem functioning. Here, we present the FUN Azores trait database, describe our approach, evaluate its scope, compare it to other marine trait databases, and explore the spatial distribution of its traits with “functional maps.” While most of the available trait databases to date contain essential information to understand the functional diversity of a taxonomic or functional group, our ecosystem-based approach provides a comprehensive assessment of diverse fauna (i.e., meio-, macro-, and megafauna) from benthic and pelagic environments in the Azores Marine Park; including ridges, seamounts, hydrothermal vents, and the overlying water column. We used a collaborative approach involving 30 researchers with different expertise to develop the FUN Azores database, which contains compiled data on 14 traits representing morphological, behavioral, and life history characteristics for 1,210 species across 10 phyla. The “functional maps” show a distinct distribution of the two most common size classes, suggesting different communities with different functionalities. The following traits had the best scoring coverage (i.e., >95% of OPEN ACCESS EDITED BY Peter Convey, British Antarctic Survey (BAS), United Kingdom REVIEWED BY Sarah Faulwetter, University of Patras, Greece Kai Horst George, Senckenberg am Meer Wilhelmshaven, Germany *CORRESPONDENCE Neus Campanyà-Llovet [email protected] RECEIVED 21 September 2022 ACCEPTED 29 May 2023 PUBLISHED 27 July 2023 CITATION Campanyà-Llovet N, Bates AE, Cuvelier D, Giacomello E, Catarino D, Gooday AJ, Berning B, Figuerola B, Malaquias MAE, Moura CJ, Xavier JR, Sutton TT, Fauconnet L, Ramalho SP, Neves BdM, Machado GM, Horton T, Gebruk AV, Minin K, Bried J, Molodtsova T, Silva MA, Dilman A, Kremenetskaia A, Costa EFS, Clarke J, Martins HR, Pham CK, Carreiro-Silva M and Colaço A (2023) FUN Azores: a FUNctional trait database for the meio-, macro-, and megafauna from the Azores Marine Park (Mid-Atlantic Ridge). Front. Ecol. Evol. 11:1050268. doi: 10.3389/fevo.2023.1050268 COPYRIGHT © 2023 Campanyà-Llovet, Bates, Cuvelier, Giacomello, Catarino, Gooday, Berning, Figuerola, Malaquias, Moura, Xavier, Sutton, Fauconnet, Ramalho, Neves, Machado, Horton, Gebruk, Minin, Bried, Molodtsova, Silva, Dilman, Kremenetskaia, Costa, Clarke, Martins, Pham, Carreiro-Silva and Colaço. 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. TYPE Data Report PUBLISHED 27 July 2023 DOI 10.3389/fevo.2023.1050268 Campanyà-Llovet et al. 10.3389/fevo.2023.1050268 Frontiers in Ecology and Evolution 02 frontiersin.org the species scored): maximum body size, body form, skeleton material, feeding structure, motility, environmental position, substratum affinity, distribution, and depth range; while traits related to species behavior (e.g., sociability or aggregation tendencies) and life history (e.g., developmental mechanism) had lower scoring coverage, highlighting the need for further research to fill these knowledge gaps. We found a larger number of species in the benthic compared to the pelagic environment and differing species composition between areas within the Azores Marine Park resulting from varying biodiversity, ecosystem types, sampling effort, and methodologies used. The FUN Azores database will foster and facilitate trait-based approaches in the area, develop a framework for expansion of cross-ecosystem and cross-taxa trait databases elsewhere, and improve our ecological understanding of the Azores Marine Park and its conservation requirements.

Original languageAmerican English
Article number1050268
JournalFrontiers in Ecology and Evolution
Volume11
DOIs
StatePublished - Jul 27 2023

Bibliographical note

Publisher Copyright:
Copyright © 2023 Campanyà-Llovet, Bates, Cuvelier, Giacomello, Catarino, Gooday, Berning, Figuerola, Malaquias, Moura, Xavier, Sutton, Fauconnet, Ramalho, Neves, Machado, Horton, Gebruk, Minin, Bried, Molodtsova, Silva, Dilman, Kremenetskaia, Costa, Clarke, Martins, Pham, Carreiro-Silva and Colaço.

Funding

This work was performed under the framework of the project FunAzores co-funded by AÇORES 2020, through the FEDER fund from the European Union.: ACORES 01-0145-FEDER-000123. Okeanos team received national funds through the FCT – Foundation for Science and Technology, I.P., under the Project UIDB/05634/2020 and UIDP/05634/2020 and through the Regional Government of the Azores through the initiative to support the Research Centers of the University of the Azores and through the project M1.1.A/REEQ.CIENTÍFICO UI&D/2021/010. AC work was supported by FCT/MCTES through national funds in the scope of the CEEC contract CEECIND/00101/2021, NC-L and DCa are also supported by the national funds through the -FCTFoundation for Science and Technology under the project UIDP/05634/2020 granted to Okeanos respectivelly. AC, EG, DCu, and MAS were co-financed by the Operational Program AZORES 2020, through the Fund 01-0145-FEDER-000140 “MarAZ Researchers: Consolidate a body of researchers in Marine Sciences in the Azores” of the European Union. BF has received funding from the postdoctoral fellowships programme Beatriu de Pinós funded by the Secretary of Universities and Research (Government of Catalonia) and by the Horizon 2020 programme of research and innovation of the European Union under the Marie Skłodowska-Curie grant agreement no 801370 (Incorporation grant 2019 BP 00183) and from the MedCalRes project Grant PID2021-125323OA-I00 funded by MCIN/AEI/10.13039/501100011033 and by ‘ERDF A way of making Europe’. LF was supported by the project SOS TubaProf (MAR-01.03.02-FEAMP-0040). TH was supported by the UK Natural Environment Research Council Climate Linked Atlantic Sector Science project (NE/R015953/1) and from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 818123 (iAtlantic). JX research is further supported by national funds through FCT Foundation for Science and Technology within the scope of UIDB/04423/2020, UIDP/04423/2020, and CEECIND/00577/2018. SPR work was supported by FCT/MCTES through national funds in the scope of the CEEC contract (CEECIND/00758/2017) and grants UIDP/50017/2020, UIDB/50017/2020, and LA/P/0094/2020 attributed to CESAM. MCS was supported by Program Stimulus of Scientific Employment (CCCIND/03346/2020) from the Fundacṃão para a Ciência e Tecnologia.

FundersFunder number
FCTFoundation for Science and Technology
Horizon 2020 programme of research and innovation of the European Union
Program Stimulus of Scientific EmploymentCCCIND/03346/2020
Horizon 2020 Framework Programme818123
H2020 Marie Skłodowska-Curie ActionsMCIN/AEI/10.13039/501100011033, 801370, PID2021-125323OA-I00, 2019 BP 00183
University of the AzoresCIENTÍFICO UI&D/2021/010
Natural Environment Research CouncilNE/R015953/1
Fundação para a Ciência e a TecnologiaLA/P/0094/2020, UIDB/05634/2020, CEECIND/00758/2017, UIDP/04423/2020, UIDB/50017/2020, UIDP/05634/2020, CEECIND/00577/2018, UIDP/50017/2020
Ministério da Ciência, Tecnologia e Ensino SuperiorCEECIND/00101/2021
European Regional Development FundMAR-01.03.02-FEAMP-0040
Foundation for Science and TechnologyUIDB/04423/2020

    ASJC Scopus Subject Areas

    • Ecology, Evolution, Behavior and Systematics
    • Ecology

    Keywords

    • Marine Protected Areas
    • animal morphology
    • behavior
    • collaborative effort
    • hydrothermal vents
    • life history
    • seamounts and ridges
    • trait-based approaches

    Disciplines

    • Marine Biology
    • Oceanography and Atmospheric Sciences and Meteorology

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