Trait gradients inform predictions of seagrass meadows changes to future warming

Abstract Comparing populations across temperature gradients can inform how global warming will impact the structure and function of ecosystems. Shoot density, morphometry and productivity of the seagrass Posidonia oceanica to temperature variation was quantified at eight locations in Sardinia (weste...

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Autores principales:	Arianna Pansini, Gabriella La Manna, Federico Pinna, Patrizia Stipcich, Giulia Ceccherelli
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e8e622f5a7f542d58854d0f6774cc436
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spelling	oai:doaj.org-article:e8e622f5a7f542d58854d0f6774cc4362021-12-02T18:50:52ZTrait gradients inform predictions of seagrass meadows changes to future warming10.1038/s41598-021-97611-x2045-2322https://doaj.org/article/e8e622f5a7f542d58854d0f6774cc4362021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97611-xhttps://doaj.org/toc/2045-2322Abstract Comparing populations across temperature gradients can inform how global warming will impact the structure and function of ecosystems. Shoot density, morphometry and productivity of the seagrass Posidonia oceanica to temperature variation was quantified at eight locations in Sardinia (western Mediterranean Sea) along a natural sea surface temperature (SST) gradient. The locations are spanned for a narrow range of latitude (1.5°), allowing the minimization of the effect of eventual photoperiod variability. Mean SST predicted P. oceanica meadow structure, with increased temperature correlated with higher shoot density, but lower leaf and rhizome width, and rhizome biomass. Chlorophyll a (Chl-a) strongly impacted seagrass traits independent of SST. Disentangling the effects of SST and Chl-a on seagrass meadow shoot density revealed that they work independently, but in the same direction with potential synergism. Space-for-time substitution predicts that global warming will trigger denser seagrass meadows with slender shoots, fewer leaves, and strongly impact seagrass ecosystem. Future investigations should evaluate if global warming will erode the ecosystem services provided by seagrass meadows.Arianna PansiniGabriella La MannaFederico PinnaPatrizia StipcichGiulia CeccherelliNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Arianna Pansini Gabriella La Manna Federico Pinna Patrizia Stipcich Giulia Ceccherelli Trait gradients inform predictions of seagrass meadows changes to future warming
description	Abstract Comparing populations across temperature gradients can inform how global warming will impact the structure and function of ecosystems. Shoot density, morphometry and productivity of the seagrass Posidonia oceanica to temperature variation was quantified at eight locations in Sardinia (western Mediterranean Sea) along a natural sea surface temperature (SST) gradient. The locations are spanned for a narrow range of latitude (1.5°), allowing the minimization of the effect of eventual photoperiod variability. Mean SST predicted P. oceanica meadow structure, with increased temperature correlated with higher shoot density, but lower leaf and rhizome width, and rhizome biomass. Chlorophyll a (Chl-a) strongly impacted seagrass traits independent of SST. Disentangling the effects of SST and Chl-a on seagrass meadow shoot density revealed that they work independently, but in the same direction with potential synergism. Space-for-time substitution predicts that global warming will trigger denser seagrass meadows with slender shoots, fewer leaves, and strongly impact seagrass ecosystem. Future investigations should evaluate if global warming will erode the ecosystem services provided by seagrass meadows.
format	article
author	Arianna Pansini Gabriella La Manna Federico Pinna Patrizia Stipcich Giulia Ceccherelli
author_facet	Arianna Pansini Gabriella La Manna Federico Pinna Patrizia Stipcich Giulia Ceccherelli
author_sort	Arianna Pansini
title	Trait gradients inform predictions of seagrass meadows changes to future warming
title_short	Trait gradients inform predictions of seagrass meadows changes to future warming
title_full	Trait gradients inform predictions of seagrass meadows changes to future warming
title_fullStr	Trait gradients inform predictions of seagrass meadows changes to future warming
title_full_unstemmed	Trait gradients inform predictions of seagrass meadows changes to future warming
title_sort	trait gradients inform predictions of seagrass meadows changes to future warming
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e8e622f5a7f542d58854d0f6774cc436
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Trait gradients inform predictions of seagrass meadows changes to future warming

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