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Global biodiversity patterns of marine forests of brown macroalgae

2022Journal article Open access
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dc.contributor.authorFragkopoulou, Eliza
dc.contributor.authorSerrao, Ester
dc.contributor.authorDe Clerck, Olivier
dc.contributor.authorCostello, Mark J.
dc.contributor.authorAraújo, Miguel B.
dc.contributor.authorDuarte, Carlos M.
dc.contributor.authorKrause‐Jensen, Dorte
dc.contributor.authorAssis, Jorge
dc.date.accessioned2022-03-11T14:51:36Z
dc.date.available2023-03-01T01:30:13Z
dc.date.issued2022
dc.description.abstractAim Marine forests of brown macroalgae create essential habitats for coastal species and support invaluable ecological services. Here, we provide the first global analysis of species richness and endemicity of both the kelp and fucoid biomes. Location Global. Time period Contemporary. Major taxa studied Marine forests of brown macroalgae, formed by kelp (here defined as orders Laminariales, Tilopteridales and Desmarestiales) and fucoid (order Fucales), inhabiting subtidal and intertidal environments. Methods We coupled a large dataset of macroalgal observations (420 species, 1.01 million records) with a high-resolution dataset of relevant environmental predictors (i.e., light, temperature, salinity, nitrate, wave energy and ice coverage) to develop stacked species distribution models (stacked SDMs) and yield estimates of global species richness and endemicity. Results Temperature and light were the main predictors shaping the distribution of subtidal species, whereas wave energy, temperature and salinity were the main predictors of intertidal species. The highest regional species richness for kelp was found in the north-east Pacific (maximum 32 species) and for fucoids in south-east Australia (maximum 53 species), supporting the hypothesis that these regions were the evolutionary sources of global colonization by brown macroalgae. Locations with low species richness coincided between kelp and fucoid, occurring mainly at higher latitudes (e.g., Siberia) and the Baltic Sea, where extensive ice coverage and low-salinity regimes prevail. Regions of high endemism for both groups were identified in the Galapagos Islands, Antarctica, South Africa and East Russia. Main conclusions We estimated the main environmental drivers and limits shaping the distribution of marine forests of brown macroalgae and mapped biogeographical centres of species richness and endemicity, which largely coincided with the expectation from previous evolutionary hypotheses. The mapped biodiversity patterns can serve as new baselines for planning and prioritizing locations for conservation, management and climate change mitigation strategies, flagging threatened marine forest regions under different climate change scenarios.pt_PT
dc.description.versioninfo:eu-repo/semantics/submittedVersionpt_PT
dc.identifier.doi10.1111/geb.13450pt_PT
dc.identifier.issn1466-822X
dc.identifier.urihttp://hdl.handle.net/10400.1/17672
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationAlgarve Centre for Marine Sciences
dc.subjectBiodiversity patternspt_PT
dc.subjectBrown macroalgaept_PT
dc.subjectEndemismpt_PT
dc.subjectFucoidpt_PT
dc.subjectKelppt_PT
dc.subjectMacroecologypt_PT
dc.subjectMarine forestspt_PT
dc.subjectSpecies distribution modellingpt_PT
dc.subjectSpecies richnesspt_PT
dc.titleGlobal biodiversity patterns of marine forests of brown macroalgaept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FBIA-CBI%2F6515%2F2020/PT
oaire.citation.titleGlobal Ecology and Biogeographypt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
person.familyNameFragkopoulou
person.familyNameSerrao
person.familyNameAssis
person.givenNameEliza
person.givenNameEster A.
person.givenNameJorge
person.identifierC-6686-2012
person.identifier.ciencia-id5B1F-9922-2CB5
person.identifier.ciencia-id5B13-B26E-B1EC
person.identifier.ciencia-id5C1D-05B6-29F7
person.identifier.orcid0000-0002-0557-3954
person.identifier.orcid0000-0003-1316-658X
person.identifier.orcid0000-0002-6624-4820
person.identifier.ridG-9688-2012
person.identifier.scopus-author-id7004093604
person.identifier.scopus-author-id53463298700
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
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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