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Modeling Fine-Scale Cetaceans’ Distributions in Oceanic Islands : Madeira Archipelago as a Case Study

2021-07Journal article Open access
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dc.contributor.authorFernandez, Marc
dc.contributor.authorAlves, Filipe M. A.
dc.contributor.authorFerreira, Rita
dc.contributor.authorFischer, Jan-Christopher
dc.contributor.authorThake, Paula
dc.contributor.authorNunes, Nuno
dc.contributor.authorCaldeira, Rui
dc.contributor.authorDinis, Ana
dc.date.accessioned2022-02-09T18:19:47Z
dc.date.available2022-02-09T18:19:47Z
dc.date.issued2021-07
dc.description.abstractSpecies distributional estimates are an essential tool to improve and implement effective conservation and management measures. Nevertheless, obtaining accurate distributional estimates remains a challenge in many cases, especially when looking at the marine environment, mainly due to the species mobility and habitat dynamism. Ecosystems surrounding oceanic islands are highly dynamic and constitute a key actor on pelagic habitats, congregating biodiversity in their vicinity. The main objective of this study was to obtain accurate fine-scale spatio-temporal distributional estimates of cetaceans in oceanic islands, such as the Madeira archipelago, using a long-term opportunistically collected dataset. Ecological Niche Models (ENM) were built using cetacean occurrence data collected on-board commercial whale watching activities and environmental data from 2003 to 2018 for 10 species with a diverse range of habitat associations. Models were built using two different datasets of environmental variables with different temporal and spatial resolutions for comparison purposes. State-of-the-art techniques were used to iterate, build and evaluate the MAXENT models constructed. Models built using the long-term opportunistic dataset successfully described distribution patterns throughout the study area for the species considered. Final models were used to produce spatial grids of species average and standard deviation suitability monthly estimates. Results provide the first fine-scale (both in the temporal and spatial dimension) cetacean distributional estimates for the Madeira archipelago and reveal seasonal/annual distributional patterns, thus providing novel insights on species ecology and quantitative data to implement better dynamic management actions.en
dc.description.sponsorshipThis study was supported by: (i) INTERTAGUA, MAC2/1.1.a/385 funded by MAC INTERREG 2014-2020, (ii) Oceanic Observatory of Madeira throughout the project M142001-0145-FEDER-000001-OOM, and (iii) Fundacao para a Ciencia e Tecnologia (FCT), Portugal, through the strategic project UID/MAR/04292/2020 granted to MARE UI&I. AD and FA have grants funded by ARDITI-Madeira's Regional Agency for the Development of Research, Technology and Innovation, throughout the project M1420-09-5369-FSE000002. RF was partially supported by a FCT doctoral grant (SFRH/BD/147225/2019).en
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFernandez, M., Alves, F., Ferreira, R., Fischer, J., Thake, P., Nunes, N., Caldeira, R. & Dinis, A. (2021). Modeling fine-scale cetaceans’ distributions in oceanic islands: Madeira archipelago as a case study. “Frontiers in Marine Science”, 8, 688248. DOI: 10.3389/fmars.2021.688248en
dc.identifier.doi10.3389/fmars.2021.688248pt_PT
dc.identifier.eissn2296-7745
dc.identifier.urihttp://hdl.handle.net/10400.3/6173
dc.identifier.wos000677526800001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontiers Mediapt_PT
dc.relationFCT UID/MAR/04292/2020pt_PT
dc.relationFCT SFRH/BD/147225/2019pt_PT
dc.relation.publisherversionhttps://www.frontiersin.org/articles/10.3389/fmars.2021.688248/fullpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectWhalesen
dc.subjectDolphinsen
dc.subjectPelagicen
dc.subjectEcological Niche Modelingen
dc.subjectOpportunistic Dataen
dc.subjectWhale Watchingen
dc.subjectMadeira Archipelagoen
dc.titleModeling Fine-Scale Cetaceans’ Distributions in Oceanic Islands : Madeira Archipelago as a Case Studyen
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceSwitzerlanden
oaire.citation.endPage22pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleFrontiers in Marine Scienceen
oaire.citation.volume8pt_PT
person.familyNameFernandez Morron
person.givenNameMarc
person.identifier.ciencia-id691B-40D8-24D2
person.identifier.orcid0000-0002-8419-0942
person.identifier.scopus-author-id55463168300
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationebe4b6e7-65f3-4b6d-8385-2f649bd12518
relation.isAuthorOfPublication.latestForDiscoveryebe4b6e7-65f3-4b6d-8385-2f649bd12518

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