Articles | Volume 16, issue 14
https://doi.org/10.5194/bg-16-2923-2019
https://doi.org/10.5194/bg-16-2923-2019
Research article
 | 
31 Jul 2019
Research article |  | 31 Jul 2019

Sensitivity of atmospheric CO2 to regional variability in particulate organic matter remineralization depths

Jamie D. Wilson, Stephen Barker, Neil R. Edwards, Philip B. Holden, and Andy Ridgwell

Related authors

NutGEnIE 1.0: nutrient cycle extensions to the cGEnIE Earth system model to examine the long-term influence of nutrients on oceanic primary production
David A. Stappard, Jamie D. Wilson, Andrew Yool, and Toby Tyrrell
EGUsphere, https://doi.org/10.5194/egusphere-2025-436,https://doi.org/10.5194/egusphere-2025-436, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1
Aaron A. Naidoo-Bagwell, Fanny M. Monteiro, Katharine R. Hendry, Scott Burgan, Jamie D. Wilson, Ben A. Ward, Andy Ridgwell, and Daniel J. Conley
Geosci. Model Dev., 17, 1729–1748, https://doi.org/10.5194/gmd-17-1729-2024,https://doi.org/10.5194/gmd-17-1729-2024, 2024
Short summary
ForamEcoGEnIE 2.0: incorporating symbiosis and spine traits into a trait-based global planktic foraminiferal model
Rui Ying, Fanny M. Monteiro, Jamie D. Wilson, and Daniela N. Schmidt
Geosci. Model Dev., 16, 813–832, https://doi.org/10.5194/gmd-16-813-2023,https://doi.org/10.5194/gmd-16-813-2023, 2023
Short summary
Calibration of temperature-dependent ocean microbial processes in the cGENIE.muffin (v0.9.13) Earth system model
Katherine A. Crichton, Jamie D. Wilson, Andy Ridgwell, and Paul N. Pearson
Geosci. Model Dev., 14, 125–149, https://doi.org/10.5194/gmd-14-125-2021,https://doi.org/10.5194/gmd-14-125-2021, 2021
Short summary
A trait-based modelling approach to planktonic foraminifera ecology
Maria Grigoratou, Fanny M. Monteiro, Daniela N. Schmidt, Jamie D. Wilson, Ben A. Ward, and Andy Ridgwell
Biogeosciences, 16, 1469–1492, https://doi.org/10.5194/bg-16-1469-2019,https://doi.org/10.5194/bg-16-1469-2019, 2019
Short summary

Related subject area

Biogeochemistry: Open Ocean
Phytoplankton community structure in relation to iron and macronutrient fluxes from subsurface waters in the western North Pacific during summer
Huailin Deng, Koji Suzuki, Ichiro Yasuda, Hiroshi Ogawa, and Jun Nishioka
Biogeosciences, 22, 1495–1508, https://doi.org/10.5194/bg-22-1495-2025,https://doi.org/10.5194/bg-22-1495-2025, 2025
Short summary
Intense and localized export of selected marine snow types at eddy edges in the South Atlantic Ocean
Alexandre Accardo, Rémi Laxenaire, Alberto Baudena, Sabrina Speich, Rainer Kiko, and Lars Stemmann
Biogeosciences, 22, 1183–1201, https://doi.org/10.5194/bg-22-1183-2025,https://doi.org/10.5194/bg-22-1183-2025, 2025
Short summary
Spatial distributions of iron and manganese in surface waters of the Arctic's Laptev and East Siberian seas
Naoya Kanna, Kazutaka Tateyama, Takuji Waseda, Anna Timofeeva, Maria Papadimitraki, Laura Whitmore, Hajime Obata, Daiki Nomura, Hiroshi Ogawa, Youhei Yamashita, and Igor Polyakov
Biogeosciences, 22, 1057–1076, https://doi.org/10.5194/bg-22-1057-2025,https://doi.org/10.5194/bg-22-1057-2025, 2025
Short summary
Climate-driven shifts in Southern Ocean primary producers and biogeochemistry in CMIP6 models
Ben J. Fisher, Alex J. Poulton, Michael P. Meredith, Kimberlee Baldry, Oscar Schofield, and Sian F. Henley
Biogeosciences, 22, 975–994, https://doi.org/10.5194/bg-22-975-2025,https://doi.org/10.5194/bg-22-975-2025, 2025
Short summary
Ocean acidification trends and carbonate system dynamics across the North Atlantic subpolar gyre water masses during 2009–2019
David Curbelo-Hernández, Fiz F. Pérez, Melchor González-Dávila, Sergey V. Gladyshev, Aridane G. González, David González-Santana, Antón Velo, Alexey Sokov, and J. Magdalena Santana-Casiano
Biogeosciences, 21, 5561–5589, https://doi.org/10.5194/bg-21-5561-2024,https://doi.org/10.5194/bg-21-5561-2024, 2024
Short summary

Cited articles

Boyd, P. W.: Toward quantifying the response of the oceans' biological pump to climate change, Front. Mar. Sci., 2, 77, https://doi.org/10.3389/fmars.2015.00077, 2015. a
Cael, B. B. and Bisson, K.: Particle Flux Parameterizations: Quantitative and Mechanistic Similarities and Differences, Front. Mar. Sci., 5, 395, https://doi.org/10.3389/fmars.2018.00395, 2018. a
Cao, L. and Zhang, H.: The role of biological rates in the simulated warming effect on oceanic CO2 uptake, J. Geophys. Res.-Biogeo., 122, 1098–1106, https://doi.org/10.1002/2016JG003756, 2017. a
Chikamoto, M. O., Abe-Ouchi, A., Oka, A., and Smith, S. L.: Temperature-induced marine export production during glacial period, Geophys. Res. Lett., 39, L21601, https://doi.org/10.1029/2012GL053828, 2012. a
Cram, J. A., Weber, T., Leung, S. W., McDonnell, A. M. P., Liang, J.-H., and Deutsch, C.: The Role of Particle Size, Ballast, Temperature, and Oxygen in the Sinking Flux to the Deep Sea, Global Biogeochem. Cy., 32, 858–876, https://doi.org/10.1029/2017GB005710, 2018. a, b
Download
Short summary
The remains of plankton rain down from the surface ocean to the deep ocean, acting to store CO2 in the deep ocean. We used a model of biology and ocean circulation to explore the importance of this process in different regions of the ocean. The amount of CO2 stored in the deep ocean is most sensitive to changes in the Southern Ocean. As plankton in the Southern Ocean are likely those most impacted by future climate change, the amount of CO2 they store in the deep ocean could also be affected.
Share
Altmetrics
Final-revised paper
Preprint