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dc.contributor.authorFragkopoulou, Eliza
dc.contributor.authorSerrão, Ester A.
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.accessioned2022-01-18T06:10:52Z
dc.date.available2022-01-18T06:10:52Z
dc.date.issued2022-01-17
dc.date.submitted2021-06-15
dc.identifier.citationFragkopoulou, E., Serrão, E. A., De Clerck, O., Costello, M. J., Araújo, M. B., Duarte, C. M., … Assis, J. (2022). Global biodiversity patterns of marine forests of brown macroalgae. Global Ecology and Biogeography. doi:10.1111/geb.13450
dc.identifier.issn1466-822X
dc.identifier.issn1466-8238
dc.identifier.doi10.1111/geb.13450
dc.identifier.urihttp://hdl.handle.net/10754/675011
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
dc.description.sponsorshipDet Frie Forskningsråd. Grant Numbers: 8021-00222 B, “CARMA” Pew Charitable Trusts. Grant Number: Marine Fellowship Fundação para a Ciência e a Tecnologia. Grant Numbers: DL57/2016/CP1361/CT0035, PTDC/BIA-CBI/6515/2020, SFRH/BD/144878/2019, UID/Multi/04326/2020
dc.publisherWiley
dc.relation.urlhttps://onlinelibrary.wiley.com/doi/10.1111/geb.13450
dc.rightsArchived with thanks to Global Ecology and Biogeography
dc.titleGlobal biodiversity patterns of marine forests of brown macroalgae
dc.typeArticle
dc.contributor.departmentMarine Science Program
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.contributor.departmentBiological and Environmental Science and Engineering (BESE) Division
dc.identifier.journalGlobal Ecology and Biogeography
dc.rights.embargodate2023-01-17
dc.eprint.versionPost-print
dc.contributor.institutionAlgarve Center of Marine Sciences (CCMAR-Algarve) University of the Algarve Faro Portugal
dc.contributor.institutionPhycology Research Group Biology Department Ghent University Ghent Belgium
dc.contributor.institutionFaculty of Bioscience and Aquaculture Nord Universitet Postboks 1490 Bodø Norway
dc.contributor.institutionDepartment of Biogeography and Global Change National Museum of Natural Sciences CSIC Calle José Gutiérrez Abascal Madrid Spain
dc.contributor.institutionRui Nabeiro Biodiversity Chair MED – Mediterranean Institute for Agriculture, Environment and Development University of Évora Largo dos Colegiais Évora Portugal
dc.contributor.institutionArctic Research Centre (ARC) Aarhus University Århus C Denmark
dc.contributor.institutionDepartment of Bioscience Aarhus University Silkeborg Denmark
kaust.personDuarte, Carlos M.
dc.date.accepted2021-12-14


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