Intraspecific genetic variation matters when predicting seagrass distribution under climate change
| Autor: | Stefano Mammola, Pablo Fresia, Alexander Jueterbock, Jie Zhang, Zhixin Zhang, Masashi Yokota, Jamie M. Kass, Jorge Assis, Quan-Sheng Zhang, Stefano G. A. Draisma, Zi-Min Hu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
0301 basic medicine Climate Change Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497 [VDP] Species distribution Climate change Biology Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Plantegeografi: 496 [VDP] 010603 evolutionary biology 01 natural sciences climate change scenario 03 medical and health sciences niche conservation Range shift Climate change scenario Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488 [VDP] Genetics genetic lineage 14. Life underwater Ecosystem Ecology Evolution Behavior and Systematics Ecological niche Extinction Ecology species distribution model Niche differentiation Genetic Variation Species distribution model Gene Pool 15. Life on land Thalassia hemprichii Genetic lineage range shift Phylogeography 030104 developmental biology Habitat destruction Habitat 13. Climate action Matematikk og Naturvitenskap: 400::Basale biofag: 470::Genetikk og genomikk: 474 [VDP] Niche conservation |
| Zdroj: | Molecular Ecology Molecular ecology (2021). doi:10.1111/mec.15996 info:cnr-pdr/source/autori: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/titolo:Intraspecific genetic variation matters when predicting seagrass distribution under climate change/doi:10.1111%2Fmec.15996/rivista:Molecular ecology (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume Authorea, Inc. |
| DOI: | 10.1111/mec.15996 |
| Popis: | 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. National 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: 18K05780 info:eu-repo/semantics/submittedVersion |
| Databáze: | OpenAIRE |
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