FUN Azores: a FUNctional trait database for the meio-, macro-, and megafauna from the Azores Marine Park (Mid-Atlantic Ridge)
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 environm...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Ecology and Evolution |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fevo.2023.1050268/full |
| _version_ | 1797770849107836928 |
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| author | Neus Campanyà-Llovet Neus Campanyà-Llovet Amanda E. Bates Daphne Cuvelier Daphne Cuvelier Eva Giacomello Diana Catarino Andrew J. Gooday Andrew J. Gooday Björn Berning Björn Berning Blanca Figuerola Manuel A. E. Malaquias Carlos J. Moura Joana R. Xavier Joana R. Xavier Tracey T. Sutton Laurence Fauconnet Laurence Fauconnet Sofia P. Ramalho Bárbara de Moura Neves Gui M. Machado Tammy Horton Andrey V. Gebruk Kirill Minin Joël Bried Joël Bried Tina Molodtsova Mónica A. Silva Mónica A. Silva Anna Dilman Antonina Kremenetskaia Eudriano F. S. Costa Jameson Clarke Helen R. Martins Christopher K. Pham Christopher K. Pham Marina Carreiro-Silva Marina Carreiro-Silva Ana Colaço Ana Colaço |
| author_facet | Neus Campanyà-Llovet Neus Campanyà-Llovet Amanda E. Bates Daphne Cuvelier Daphne Cuvelier Eva Giacomello Diana Catarino Andrew J. Gooday Andrew J. Gooday Björn Berning Björn Berning Blanca Figuerola Manuel A. E. Malaquias Carlos J. Moura Joana R. Xavier Joana R. Xavier Tracey T. Sutton Laurence Fauconnet Laurence Fauconnet Sofia P. Ramalho Bárbara de Moura Neves Gui M. Machado Tammy Horton Andrey V. Gebruk Kirill Minin Joël Bried Joël Bried Tina Molodtsova Mónica A. Silva Mónica A. Silva Anna Dilman Antonina Kremenetskaia Eudriano F. S. Costa Jameson Clarke Helen R. Martins Christopher K. Pham Christopher K. Pham Marina Carreiro-Silva Marina Carreiro-Silva Ana Colaço Ana Colaço |
| author_sort | Neus Campanyà-Llovet |
| collection | DOAJ |
| description | 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 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. |
| first_indexed | 2024-03-12T21:28:58Z |
| format | Article |
| id | doaj.art-c9bb62381bda47e6a072ccb6c6b04afd |
| institution | Directory Open Access Journal |
| issn | 2296-701X |
| language | English |
| last_indexed | 2024-03-12T21:28:58Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Ecology and Evolution |
| spelling | doaj.art-c9bb62381bda47e6a072ccb6c6b04afd2023-07-28T01:38:46ZengFrontiers Media S.A.Frontiers in Ecology and Evolution2296-701X2023-07-011110.3389/fevo.2023.10502681050268FUN Azores: a FUNctional trait database for the meio-, macro-, and megafauna from the Azores Marine Park (Mid-Atlantic Ridge)Neus Campanyà-Llovet0Neus Campanyà-Llovet1Amanda E. Bates2Daphne Cuvelier3Daphne Cuvelier4Eva Giacomello5Diana Catarino6Andrew J. Gooday7Andrew J. Gooday8Björn Berning9Björn Berning10Blanca Figuerola11Manuel A. E. Malaquias12Carlos J. Moura13Joana R. Xavier14Joana R. Xavier15Tracey T. Sutton16Laurence Fauconnet17Laurence Fauconnet18Sofia P. Ramalho19Bárbara de Moura Neves20Gui M. Machado21Tammy Horton22Andrey V. Gebruk23Kirill Minin24Joël Bried25Joël Bried26Tina Molodtsova27Mónica A. Silva28Mónica A. Silva29Anna Dilman30Antonina Kremenetskaia31Eudriano F. S. Costa32Jameson Clarke33Helen R. Martins34Christopher K. Pham35Christopher K. Pham36Marina Carreiro-Silva37Marina Carreiro-Silva38Ana Colaço39Ana Colaço40Institute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalIMAR – Instituto do Mar, Departamento de Oceanografia e Pescas, University of the Azores, Horta, PortugalOcean Ecosystem Change and Conservation, University of Victoria, Victoria, VIC, CanadaInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalIMAR – Instituto do Mar, Departamento de Oceanografia e Pescas, University of the Azores, Horta, PortugalInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalNational Oceanography Centre, Southampton, United KingdomLife Sciences Department, Natural History Museum, London, United KingdomOberösterreichische Landes-Kultur GmbH, Geowissenschafltiche Sammlungen, Leonding, AustriaCIBIO – Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Ponta Delgada, PortugalInstitute of Marine Sciences (ICM-CSIC), Barcelona, SpainDepartment of Natural History, University Museum of Bergen, University of Bergen, Bergen, NorwayInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, Portugal0CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Matosinhos, Portugal1Department of Biological Sciences, University of Bergen, Bergen, Norway2Guy Harvey Oceanographic Research Center, Department of Marine and Environmental Sciences, Nova Southeastern University, Dania Beach, FL, United StatesInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalIMAR – Instituto do Mar, Departamento de Oceanografia e Pescas, University of the Azores, Horta, Portugal3CESAM – Centre for Environmental and Marine Studies and Biology Department, University of Aveiro, Aveiro, Portugal4Department of Fisheries and Oceans Canada, St. John’s, NL, CanadaInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalNational Oceanography Centre, Southampton, United Kingdom5Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia5Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, RussiaInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, Portugal6Veterinary Practitioner, Biarritz, France5Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, RussiaInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalIMAR – Instituto do Mar, Departamento de Oceanografia e Pescas, University of the Azores, Horta, Portugal5Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia5Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, RussiaIMAR – Instituto do Mar, Departamento de Oceanografia e Pescas, University of the Azores, Horta, PortugalOcean Ecosystem Change and Conservation, University of Victoria, Victoria, VIC, CanadaInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalIMAR – Instituto do Mar, Departamento de Oceanografia e Pescas, University of the Azores, Horta, PortugalInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalIMAR – Instituto do Mar, Departamento de Oceanografia e Pescas, University of the Azores, Horta, PortugalInstitute of Marine Sciences – OKEANOS, University of the Azores, Horta, PortugalIMAR – Instituto do Mar, Departamento de Oceanografia e Pescas, University of the Azores, Horta, PortugalTrait-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 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.https://www.frontiersin.org/articles/10.3389/fevo.2023.1050268/fullbehaviorlife historyseamounts and ridgeshydrothermal ventscollaborative efforttrait-based approaches |
| spellingShingle | Neus Campanyà-Llovet Neus Campanyà-Llovet Amanda E. Bates Daphne Cuvelier Daphne Cuvelier Eva Giacomello Diana Catarino Andrew J. Gooday Andrew J. Gooday Björn Berning Björn Berning Blanca Figuerola Manuel A. E. Malaquias Carlos J. Moura Joana R. Xavier Joana R. Xavier Tracey T. Sutton Laurence Fauconnet Laurence Fauconnet Sofia P. Ramalho Bárbara de Moura Neves Gui M. Machado Tammy Horton Andrey V. Gebruk Kirill Minin Joël Bried Joël Bried Tina Molodtsova Mónica A. Silva Mónica A. Silva Anna Dilman Antonina Kremenetskaia Eudriano F. S. Costa Jameson Clarke Helen R. Martins Christopher K. Pham Christopher K. Pham Marina Carreiro-Silva Marina Carreiro-Silva Ana Colaço Ana Colaço FUN Azores: a FUNctional trait database for the meio-, macro-, and megafauna from the Azores Marine Park (Mid-Atlantic Ridge) Frontiers in Ecology and Evolution behavior life history seamounts and ridges hydrothermal vents collaborative effort trait-based approaches |
| title | FUN Azores: a FUNctional trait database for the meio-, macro-, and megafauna from the Azores Marine Park (Mid-Atlantic Ridge) |
| title_full | FUN Azores: a FUNctional trait database for the meio-, macro-, and megafauna from the Azores Marine Park (Mid-Atlantic Ridge) |
| title_fullStr | FUN Azores: a FUNctional trait database for the meio-, macro-, and megafauna from the Azores Marine Park (Mid-Atlantic Ridge) |
| title_full_unstemmed | FUN Azores: a FUNctional trait database for the meio-, macro-, and megafauna from the Azores Marine Park (Mid-Atlantic Ridge) |
| title_short | FUN Azores: a FUNctional trait database for the meio-, macro-, and megafauna from the Azores Marine Park (Mid-Atlantic Ridge) |
| title_sort | fun azores a functional trait database for the meio macro and megafauna from the azores marine park mid atlantic ridge |
| topic | behavior life history seamounts and ridges hydrothermal vents collaborative effort trait-based approaches |
| url | https://www.frontiersin.org/articles/10.3389/fevo.2023.1050268/full |
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