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Benthic-pelagic coupling in the Barents Sea: an integrated data-model framework

Freitas, Felipe S.; Hendry, Katharine R.; Henley, Sian F.; Faust, Johan C.; Tessin, Allyson C.; Stevenson, Mark A.; Abbott, Geoffrey D.; März, Christian; Arndt, Sandra

Authors

Felipe S. Freitas

Katharine R. Hendry

Sian F. Henley

Johan C. Faust

Allyson C. Tessin

Geoffrey D. Abbott

Christian März

Sandra Arndt



Abstract

The Barents Sea is experiencing long-term climate-driven changes, e.g. modification in oceanographic conditions and extensive sea ice loss, which can lead to large, yet unquantified disruptions to ecosystem functioning. This key region hosts a large fraction of Arctic primary productivity. However, processes governing benthic and pelagic coupling are not mechanistically understood, limiting our ability to predict the impacts of future perturbations. We combine field observations with a reaction-transport model approach to quantify organic matter (OM) processing and disentangle its drivers. Sedimentary OM reactivity patterns show no gradients relative to sea ice extent, being mostly driven by seafloor spatial heterogeneity. Burial of high reactivity, marine-derived OM is evident at sites influenced by Atlantic Water (AW), whereas low reactivity material is linked to terrestrial inputs on the central shelf. Degradation rates are mainly driven by aerobic respiration (40–75%), being greater at sites where highly reactive material is buried. Similarly, ammonium and phosphate fluxes are greater at those sites. The present-day AW-dominated shelf might represent the future scenario for the entire Barents Sea. Our results represent a baseline systematic understanding of seafloor geochemistry, allowing us to anticipate changes that could be imposed on the pan-Arctic in the future if climate-driven perturbations persist.

Citation

Freitas, F. S., Hendry, K. R., Henley, S. F., Faust, J. C., Tessin, A. C., Stevenson, M. A., Abbott, G. D., März, C., & Arndt, S. (2020). Benthic-pelagic coupling in the Barents Sea: an integrated data-model framework. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2181), Article 20190359. https://doi.org/10.1098/rsta.2019.0359

Journal Article Type Article
Acceptance Date Apr 10, 2020
Online Publication Date Aug 31, 2020
Publication Date Oct 2, 2020
Deposit Date Dec 6, 2021
Journal Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences.
Print ISSN 1364-503X
Electronic ISSN 1471-2962
Publisher The Royal Society
Volume 378
Issue 2181
Article Number 20190359
DOI https://doi.org/10.1098/rsta.2019.0359
Public URL https://durham-repository.worktribe.com/output/1221240