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The influence of hydrodynamic exposure on carbon storage and nutrient retention in eelgrass (Zostera marina L.) meadows on the Swedish Skagerrak coast
Stockholm University.
University of Gothenburg.
Stockholm University.
Stockholm University / University of Gothenburg.
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2020 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 10, no 1, article id 13666Article in journal (Refereed) Published
Abstract [en]

Cold-temperate seagrass (Zostera marina) meadows provide several important ecosystem services, including trapping and storage of sedimentary organic carbon and nutrients. However, seagrass meadows are rapidly decreasing worldwide and there is a pressing need for protective management of the meadows and the organic matter sinks they create. Their carbon and nutrient storage potential must be properly evaluated, both at present situation and under future climate change impacts. In this study, we assessed the effect of wave exposure on sedimentary carbon and nitrogen accumulation using existing data from 53 Z. marina meadows at the Swedish west coast. We found that meadows with higher hydrodynamic exposure had larger absolute organic carbon and nitrogen stocks (at 0-25 cm depth). This can be explained by a hydrodynamically induced sediment compaction in more exposed sites, resulting in increased sediment density and higher accumulation (per unit volume) of sedimentary organic carbon and nitrogen. With higher sediment density, the erosion threshold is assumed to increase, and as climate change-induced storms are predicted to be more common, we suggest that wave exposed meadows can be more resilient toward storms and might therefore be even more important as carbon- and nutrient sinks in the future.

Place, publisher, year, edition, pages
Springer Nature, 2020. Vol. 10, no 1, article id 13666
National Category
Environmental Sciences
Research subject
Environmental Studies
Identifiers
URN: urn:nbn:se:sh:diva-41693DOI: 10.1038/s41598-020-70403-5ISI: 000563536800016PubMedID: 32788660Scopus ID: 2-s2.0-85089385614OAI: oai:DiVA.org:sh-41693DiVA, id: diva2:1458867
Funder
The Royal Swedish Academy of SciencesAvailable from: 2020-08-18 Created: 2020-08-18 Last updated: 2022-09-15Bibliographically approved

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Gullström, Martin

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CiteExportLink to record
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  • sodertorns-hogskola-harvard.csl
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