Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach
The ability to constrain the mechanisms that transport organic carbon into the deep ocean is complicated by the multiple physical, chemical, and ecological processes that intersect to create, transform, and transport particles in the ocean. In this paper we develop and parameterize a data-assimilati...
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2022
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ftdoajarticles:oai:doaj.org/article:29aa842d5c1549c1b9a2b13b6c616d40 2023-05-15T18:25:44+02:00 Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach M. R. Stukel M. Décima M. R. Landry 2022-08-01T00:00:00Z https://doi.org/10.5194/bg-19-3595-2022 https://doaj.org/article/29aa842d5c1549c1b9a2b13b6c616d40 EN eng Copernicus Publications https://bg.copernicus.org/articles/19/3595/2022/bg-19-3595-2022.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-19-3595-2022 1726-4170 1726-4189 https://doaj.org/article/29aa842d5c1549c1b9a2b13b6c616d40 Biogeosciences, Vol 19, Pp 3595-3624 (2022) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/bg-19-3595-2022 2022-12-31T02:04:40Z The ability to constrain the mechanisms that transport organic carbon into the deep ocean is complicated by the multiple physical, chemical, and ecological processes that intersect to create, transform, and transport particles in the ocean. In this paper we develop and parameterize a data-assimilative model of the multiple pathways of the biological carbon pump (NEMURO BCP ). The mechanistic model is designed to represent sinking particle flux, active transport by vertically migrating zooplankton, and passive transport by subduction and vertical mixing, while also explicitly representing multiple biological and chemical properties measured directly in the field (including nutrients, phytoplankton and zooplankton taxa, carbon dioxide and oxygen, nitrogen isotopes, and 234 Thorium). Using 30 different data types (including standing stock and rate measurements related to nutrients, phytoplankton, zooplankton, and non-living organic matter) from Lagrangian experiments conducted on 11 cruises from four ocean regions, we conduct an objective statistical parameterization of the model and generate 1 million different potential parameter sets that are used for ensemble model simulations. The model simulates in situ parameters that were assimilated (net primary production and gravitational particle flux) and parameters that were withheld ( 234 Thorium and nitrogen isotopes) with reasonable accuracy. Model results show that gravitational flux of sinking particles and vertical mixing of organic matter from the euphotic zone are more important biological pump pathways than active transport by vertically migrating zooplankton. However, these processes are regionally variable, with sinking particles most important in oligotrophic areas of the Gulf of Mexico and California Current, sinking particles and vertical mixing roughly equivalent in productive coastal upwelling regions and the subtropical front in the Southern Ocean, and active transport an important contributor in the eastern tropical Pacific. We further find that ... Article in Journal/Newspaper Southern Ocean Directory of Open Access Journals: DOAJ Articles Southern Ocean Pacific Biogeosciences 19 15 3595 3624 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
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Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 M. R. Stukel M. Décima M. R. Landry Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
topic_facet |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
description |
The ability to constrain the mechanisms that transport organic carbon into the deep ocean is complicated by the multiple physical, chemical, and ecological processes that intersect to create, transform, and transport particles in the ocean. In this paper we develop and parameterize a data-assimilative model of the multiple pathways of the biological carbon pump (NEMURO BCP ). The mechanistic model is designed to represent sinking particle flux, active transport by vertically migrating zooplankton, and passive transport by subduction and vertical mixing, while also explicitly representing multiple biological and chemical properties measured directly in the field (including nutrients, phytoplankton and zooplankton taxa, carbon dioxide and oxygen, nitrogen isotopes, and 234 Thorium). Using 30 different data types (including standing stock and rate measurements related to nutrients, phytoplankton, zooplankton, and non-living organic matter) from Lagrangian experiments conducted on 11 cruises from four ocean regions, we conduct an objective statistical parameterization of the model and generate 1 million different potential parameter sets that are used for ensemble model simulations. The model simulates in situ parameters that were assimilated (net primary production and gravitational particle flux) and parameters that were withheld ( 234 Thorium and nitrogen isotopes) with reasonable accuracy. Model results show that gravitational flux of sinking particles and vertical mixing of organic matter from the euphotic zone are more important biological pump pathways than active transport by vertically migrating zooplankton. However, these processes are regionally variable, with sinking particles most important in oligotrophic areas of the Gulf of Mexico and California Current, sinking particles and vertical mixing roughly equivalent in productive coastal upwelling regions and the subtropical front in the Southern Ocean, and active transport an important contributor in the eastern tropical Pacific. We further find that ... |
format |
Article in Journal/Newspaper |
author |
M. R. Stukel M. Décima M. R. Landry |
author_facet |
M. R. Stukel M. Décima M. R. Landry |
author_sort |
M. R. Stukel |
title |
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
title_short |
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
title_full |
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
title_fullStr |
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
title_full_unstemmed |
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
title_sort |
quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/bg-19-3595-2022 https://doaj.org/article/29aa842d5c1549c1b9a2b13b6c616d40 |
geographic |
Southern Ocean Pacific |
geographic_facet |
Southern Ocean Pacific |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Biogeosciences, Vol 19, Pp 3595-3624 (2022) |
op_relation |
https://bg.copernicus.org/articles/19/3595/2022/bg-19-3595-2022.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-19-3595-2022 1726-4170 1726-4189 https://doaj.org/article/29aa842d5c1549c1b9a2b13b6c616d40 |
op_doi |
https://doi.org/10.5194/bg-19-3595-2022 |
container_title |
Biogeosciences |
container_volume |
19 |
container_issue |
15 |
container_start_page |
3595 |
op_container_end_page |
3624 |
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1766207371768496128 |