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Intraspecific genetic variation matters when predicting seagrass distribution under climate change

2021Journal article Open access
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dc.contributor.authorHu, Zi‐Min
dc.contributor.authorZhang, Quan‐Sheng
dc.contributor.authorZhang, Jie
dc.contributor.authorKass, Jamie M.
dc.contributor.authorMammola, Stefano
dc.contributor.authorFresia, Pablo
dc.contributor.authorDraisma, Stefano G. A.
dc.contributor.authorAssis, Jorge
dc.contributor.authorJueterbock, Alexander
dc.contributor.authorYokota, Masashi
dc.contributor.authorZhang, Zhixin
dc.date.accessioned2022-03-16T13:48:50Z
dc.date.available2022-08-01T00:30:15Z
dc.date.issued2021
dc.description.abstractSeagrasses play a vital role in structuring coastal marine ecosystems, but their distributional range and genetic diversity have declined rapidly in recent decades. To improve conservation of seagrass species, it is important to predict how climate change may impact their ranges. Such predictions are typically made with correlative species distribution models (SDMs), which can estimate a species' potential distribution under present and future climatic scenarios given species' presence data and climatic predictor variables. However, these models are typically constructed with species-level data, and thus ignore intraspecific genetic variability, which can give rise to populations with adaptations to heterogeneous climatic conditions. Here, we explore the link between intraspecific adaptation and niche differentiation in Thalassia hemprichii, a seagrass broadly distributed in the tropical Indo-Pacific Ocean and a crucial provider of habitat for numerous marine species. By retrieving and re-analysing microsatellite data from previous studies, we delimited two distinct phylogeographical lineages within the nominal species and found an intermediate level of differentiation in their multidimensional environmental niches, suggesting the possibility for local adaptation. We then compared projections of the species' habitat suitability under climate change scenarios using species-level and lineage-level SDMs. In the Central Tropical Indo-Pacific region, models for both levels predicted considerable range contraction in the future, but the lineage-level models predicted more severe habitat loss. Importantly, the two modelling approaches predicted opposite patterns of habitat change in the Western Tropical Indo-Pacific region. Our results highlight the necessity of conserving distinct populations and genetic pools to avoid regional extinction due to climate change and have important implications for guiding future management of seagrasses.pt_PT
dc.description.sponsorshipNational Natural Science Foundation of China, Grant/Award Number: 31971395 and 41761144057; European Commission, Grant/ Award Number: H2020-MSCA-IF-2019 and 882221; Foundation for Science and Technology (FCT), Grant/Award Number: UID/Multi/04326/2019, PTDC/BIA-CBI/6515/2020 and DL57; Thailand Research Fund, Grant/Award Number: RDG6130002; Japan Society for the Promotion of Science Grant-in-Aid for Scientific Research, Grant/ Award Number: 18K05780pt_PT
dc.description.sponsorshipH2020-MSCA-IF-2019
dc.description.versioninfo:eu-repo/semantics/submittedVersionpt_PT
dc.identifier.doi10.1111/mec.15996pt_PT
dc.identifier.issn0962-1083
dc.identifier.urihttp://hdl.handle.net/10400.1/17686
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationTesting macroecological theory using simplified systems
dc.relationCentre of Marine Sciences
dc.relationNot Available
dc.subjectClimate change scenariopt_PT
dc.subjectGenetic lineagept_PT
dc.subjectNiche conservationpt_PT
dc.subjectRange shiftpt_PT
dc.subjectSpecies distribution modelpt_PT
dc.subjectThalassia hemprichiipt_PT
dc.titleIntraspecific genetic variation matters when predicting seagrass distribution under climate changept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleTesting macroecological theory using simplified systems
oaire.awardTitleCentre of Marine Sciences
oaire.awardTitleNot Available
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/882221/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMulti%2F04326%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FBIA-CBI%2F6515%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/DL 57%2F2016/DL 57%2F2016%2FCP1361%2FCT0035/PT
oaire.citation.endPage3855pt_PT
oaire.citation.issue15pt_PT
oaire.citation.startPage3840pt_PT
oaire.citation.titleMolecular Ecologypt_PT
oaire.citation.volume30pt_PT
oaire.fundingStreamH2020
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
oaire.fundingStreamDL 57/2016
person.familyNameAssis
person.givenNameJorge
person.identifier.ciencia-id5C1D-05B6-29F7
person.identifier.orcid0000-0002-6624-4820
person.identifier.ridG-9688-2012
person.identifier.scopus-author-id53463298700
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
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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