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Intraspecific genetic variation matters when predicting seagrass distribution under climate change.
Hu, Zi-Min; Zhang, Quan-Sheng; Zhang, Jie; Kass, Jamie M; Mammola, Stefano; Fresia, Pablo; Draisma, Stefano G A; Assis, Jorge; Jueterbock, Alexander; Yokota, Masashi; Zhang, Zhixin.
Afiliação
  • Hu ZM; Ocean School, YanTai University, Yantai, China.
  • Zhang QS; Ocean School, YanTai University, Yantai, China.
  • Zhang J; Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.
  • Kass JM; Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.
  • Mammola S; Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of Helsinki, Helsinki, Finland.
  • Fresia P; Molecular Ecology Group (MEG), Water Research Institute (IRSA, National Research Council of Italy (CNR, Verbania Pallanza, Italy.
  • Draisma SGA; Pasteur+INIA Joint Unit (UMPI), Institut Pasteur de Montevideo, Montevideo, Uruguay.
  • Assis J; Excellence Center for Biodiversity of Peninsular Thailand, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
  • Jueterbock A; CCMAR, University of Algarve, Faro, Portugal.
  • Yokota M; Algal and Microbial Biotechnology Division, Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.
  • Zhang Z; Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology, Tokyo, Japan.
Mol Ecol ; 30(15): 3840-3855, 2021 08.
Article em En | MEDLINE | ID: mdl-34022079
ABSTRACT
Seagrasses 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mudança Climática / Ecossistema Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mudança Climática / Ecossistema Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article