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Integrating local ecological knowledge and scientific surveys: a pathway to understanding benthic mesophotic ecosystems

dc.contributor.authorNeto, Regina
dc.contributor.authorSeixas, Sónia
dc.contributor.authorGomes, Pedro
dc.date.accessioned2026-05-29T14:02:41Z
dc.date.available2026-05-29T14:02:41Z
dc.date.issued2026-04-04
dc.description.abstractMarine ecosystems face increasing anthropogenic pressures, highlighting the need for effective conservation strategies such as Marine Protected Areas (MPAs). Knowledge gaps are particularly evident in mesophotic ecosystems (MEs), which provide vital ecological functions but are difficult to study due to logistical and technological challenges. This study explores the role of Local Ecological Knowledge (LEK) as a complementary tool to Remote Operated Vehicle (ROV) surveys for characterising MEs in Northern Portugal. We conducted 59 interviews with fishers to gather information on species distribution, depth ranges, habitat associations, and conservation views. Simultaneously, 187 ROV dives recorded species presence and habitat features. Fishers reported a high diversity of species, including several Vulnerable Marine Ecosystem (VME) indicators, some absent from ROV observations, thus expanding biodiversity records for the region. Comparisons revealed both overlaps and discrepancies, emphasising the complementarity of LEK and ROV methods. Fishers broadly recognised the ecological importance of corals and sponges and showed support for conservation measures, although opinions varied among different fishing groups. Our findings demonstrate that combining LEK with scientific surveys improves biodiversity assessments, helps identify key conservation areas, and fosters collaborative efforts to protect mesophotic ecosystems amidst increasing human impacts.eng
dc.description.sponsorshipOpen access funding provided by FCT|FCCN (b-on). All studies were conducted with the financial support received by the thesis author through an FCT fellowship (UI/BD/151013/2021), hosted by the University of Minho (Portugal), as part of the PhD programme in Environmental and Molecular Biology (PDBMA), with additional financial support from Atlantida II (ref. NORTE2030-FEDER-01799200), cofinanced by the European Union through the NORTE 2030 Regional Programme and the European Regional Development Fund (ERDF), as well as from MarUminho (Calouste Gulbenkian Foundation) projects. Further support was also provided by Contrato-Programa UID/04050/2025 funded by FCT I.P., https://doi.org/10.54499/UID/04050/2025, and the project LA/P/0069/2020 granted to the Associate Laboratory ARNET, https://doi.org/10.54499/LA/P/0069/2020.The work of SS was supported by UID/04292/2025 and doi: https://doi.org/10.54499/LA/P/0069/2020.
dc.identifier.citationNeto, R.C., Seixas, S. & Gomes, P.T. Integrating local ecological knowledge and scientific surveys: a pathway to understanding benthic mesophotic ecosystems. Biodivers Conserv 35, 132 (2026). https://doi.org/10.1007/s10531-026-03338-4
dc.identifier.doi10.1007/s10531-026-03338-4
dc.identifier.urihttp://hdl.handle.net/10400.2/22090
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.relationGorgónias como formadoras de habitat
dc.relationMARE - Marine and Environmental Sciences Centre
dc.relationAquatic Research Infrastructure Network
dc.relation.hasversionhttps://link.springer.com/article/10.1007/s10531-026-03338-4
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectBiodiversity conservation
dc.subjectLocal ecological knowledge
dc.subjectMesophotic ecosystems
dc.subjectNorthern Portugal
dc.subjectRemote operated vehicles
dc.subjectVulnerable marine ecosystems
dc.titleIntegrating local ecological knowledge and scientific surveys: a pathway to understanding benthic mesophotic ecosystemseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUI/BD/151013/2021
oaire.awardNumberUID/MAR/04292/2013
oaire.awardNumberLA/P/0069/2020
oaire.awardTitleGorgónias como formadoras de habitat
oaire.awardTitleMARE - Marine and Environmental Sciences Centre
oaire.awardTitleAquatic Research Infrastructure Network
oaire.awardURIhttp://hdl.handle.net/10400.2/22089
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAR%2F04292%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0069%2F2020/PT
oaire.citation.endPage25
oaire.citation.startPage1
oaire.citation.titleBiodiversity and Conservation
oaire.citation.volume35
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSeixas
person.givenNameSónia
person.identifier1994900
person.identifier.ciencia-idD813-882D-0810
person.identifier.orcid0000-0002-9635-6321
person.identifier.ridD-2750-2015
person.identifier.scopus-author-id56005549200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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