Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments

Macroalgal forests export much of their production, partly supporting food webs and carbon stocks beyond their habitat, but evidence of their contribution in sediment carbon stocks is poor. We test the hypothesis that macroalgae contribute to carbon stocks in arctic marine sediments. We used environ...

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Main Author: Bachmann Ørberg, Sarah
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7674663
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spelling ftzenodo:oai:zenodo.org:7674663 2024-09-15T18:09:55+00:00 Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments Bachmann Ørberg, Sarah 2023-07-17 https://doi.org/10.5281/zenodo.7674663 unknown Zenodo https://doi.org/10.1016/j.scitotenv.2023.165507 https://doi.org/10.5061/dryad.bcc2fqzhj https://zenodo.org/communities/dryad https://doi.org/10.5281/zenodo.7674662 https://doi.org/10.5281/zenodo.7674663 oai:zenodo.org:7674663 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode environmental DNA (eDNA) Stable isotopes underwater video info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.767466310.1016/j.scitotenv.2023.16550710.5061/dryad.bcc2fqzhj10.5281/zenodo.7674662 2024-07-25T10:44:13Z Macroalgal forests export much of their production, partly supporting food webs and carbon stocks beyond their habitat, but evidence of their contribution in sediment carbon stocks is poor. We test the hypothesis that macroalgae contribute to carbon stocks in arctic marine sediments. We used environmental DNA (eDNA) fingerprinting on a large-scale set of surface sediment samples from Greenland and Svalbard. We evaluated eDNA results by comparing with traditional survey and tracer methods. The eDNA-based survey identified macroalgae in 94% of the sediment samples covering shallow nearshore areas to 1,460 m depth and 350 km offshore, with highest sequence abundance nearshore and with dominance of brown macroalgae. Overall, the eDNA results reflected the potential source communities of macroalgae and eelgrass assessed by traditional surveys, with the most abundant orders being common among different methods. A stable isotope analysis showed a considerable contribution from macroalgae in sediments although with high uncertainty, highlighting eDNA as a great improvement and supplement for documenting macroalgae as a contributor to sediment carbon stocks. Conclusively, we provide evidence for a prevalent contribution of macroalgal forests in arctic surface sediments, nearshore as well as offshore, identifying brown algae as main contributors. Funding provided by: Danmarks Frie Forskningsfond Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004836 Award Number: 8021-00222 B Other/Unknown Material Greenland Svalbard Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic environmental DNA (eDNA)
Stable isotopes
underwater video
spellingShingle environmental DNA (eDNA)
Stable isotopes
underwater video
Bachmann Ørberg, Sarah
Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments
topic_facet environmental DNA (eDNA)
Stable isotopes
underwater video
description Macroalgal forests export much of their production, partly supporting food webs and carbon stocks beyond their habitat, but evidence of their contribution in sediment carbon stocks is poor. We test the hypothesis that macroalgae contribute to carbon stocks in arctic marine sediments. We used environmental DNA (eDNA) fingerprinting on a large-scale set of surface sediment samples from Greenland and Svalbard. We evaluated eDNA results by comparing with traditional survey and tracer methods. The eDNA-based survey identified macroalgae in 94% of the sediment samples covering shallow nearshore areas to 1,460 m depth and 350 km offshore, with highest sequence abundance nearshore and with dominance of brown macroalgae. Overall, the eDNA results reflected the potential source communities of macroalgae and eelgrass assessed by traditional surveys, with the most abundant orders being common among different methods. A stable isotope analysis showed a considerable contribution from macroalgae in sediments although with high uncertainty, highlighting eDNA as a great improvement and supplement for documenting macroalgae as a contributor to sediment carbon stocks. Conclusively, we provide evidence for a prevalent contribution of macroalgal forests in arctic surface sediments, nearshore as well as offshore, identifying brown algae as main contributors. Funding provided by: Danmarks Frie Forskningsfond Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004836 Award Number: 8021-00222 B
format Other/Unknown Material
author Bachmann Ørberg, Sarah
author_facet Bachmann Ørberg, Sarah
author_sort Bachmann Ørberg, Sarah
title Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments
title_short Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments
title_full Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments
title_fullStr Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments
title_full_unstemmed Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments
title_sort data for: prevalent fingerprint of marine macroalgae in arctic surface sediments
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.7674663
genre Greenland
Svalbard
genre_facet Greenland
Svalbard
op_relation https://doi.org/10.1016/j.scitotenv.2023.165507
https://doi.org/10.5061/dryad.bcc2fqzhj
https://zenodo.org/communities/dryad
https://doi.org/10.5281/zenodo.7674662
https://doi.org/10.5281/zenodo.7674663
oai:zenodo.org:7674663
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.767466310.1016/j.scitotenv.2023.16550710.5061/dryad.bcc2fqzhj10.5281/zenodo.7674662
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