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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.authorMasashi, Yokota
dc.contributor.authorZhang, Zhixin
dc.date.accessioned2021-10-05T13:00:44Z
dc.date.available2021-10-05T13:00:44Z
dc.date.created2021-07-22T23:04:17Z
dc.date.issued2021
dc.identifier.citationHu, Z.-M., Zhang, Q.‐S., Zhang, J., Kass, J. M., Mammola, S., Fresia, P., Draisma, S. G. A., Assis, J., Jueterbock, A., Masashi, Y. & Zhang, Z. (2021). Intraspecific genetic variation matters when predicting seagrass distribution under climate change. Molecular Ecology, 30(15), 3840-3855. doi:en_US
dc.identifier.issn1365-294X
dc.identifier.urihttps://hdl.handle.net/11250/2787779
dc.descriptionAuthor's accepted version (postprint).en_US
dc.descriptionThis is an Accepted Manuscript of an article published by Wiley in Molecular Ecology on 22/05/2021.
dc.descriptionAvailable online: https://onlinelibrary.wiley.com/doi/epdf/10.1111/mec.15996
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.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleIntraspecific genetic variation matters when predicting seagrass distribution under climate changeen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470::Genetikk og genomikk: 474en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Plantegeografi: 496en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497en_US
dc.source.pagenumber3840-3855en_US
dc.source.volume30en_US
dc.source.journalMolecular Ecologyen_US
dc.source.issue15en_US
dc.identifier.doi10.1111/mec.15996
dc.identifier.cristin1922446
dc.relation.projectEC/H2020/882221en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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