Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles
Global ocean biogeochemistry models currently employed in climate change projections use highly simplified representations of pelagic food webs. These food webs do not necessarily include critical pathways by which ecosystems interact with ocean biogeochemistry and climate. Here we present a global...
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ftdtupubl:oai:pure.atira.dk:publications/908c0009-9238-422b-abbb-407f1ef11549 2024-06-23T07:56:54+00:00 Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles Le Quéré, Corinne Buitenhuis, Erik T. Moriarty, Róisín Alvain, Séverine Aumont, Olivier Bopp, Laurent Chollet, Sophie Enright, Clare Franklin, Daniel J. Geider, Richard J. Harrison, Sandy P. Hirst, Andrew G. Larsen, Stuart Legendre, Louis Platt, Trevor Prentice, I. Colin Rivkin, Richard B. Sailley, Sévrine Sathyendranath, Shubha Stephens, Nick Vogt, Meike Vallina, Sergio M. 2016 application/pdf https://orbit.dtu.dk/en/publications/908c0009-9238-422b-abbb-407f1ef11549 https://doi.org/10.5194/bg-13-4111-2016 https://backend.orbit.dtu.dk/ws/files/139259706/Publishers_version.pdf eng eng https://orbit.dtu.dk/en/publications/908c0009-9238-422b-abbb-407f1ef11549 info:eu-repo/semantics/openAccess Le Quéré , C , Buitenhuis , E T , Moriarty , R , Alvain , S , Aumont , O , Bopp , L , Chollet , S , Enright , C , Franklin , D J , Geider , R J , Harrison , S P , Hirst , A G , Larsen , S , Legendre , L , Platt , T , Prentice , I C , Rivkin , R B , Sailley , S , Sathyendranath , S , Stephens , N , Vogt , M & Vallina , S M 2016 , ' Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles ' , Biogeosciences , vol. 13 , no. 14 , pp. 4111-4133 . https://doi.org/10.5194/bg-13-4111-2016 Earth-Surface Processes Ecology Evolution Behavior and Systematics Euphausiacea Prokaryota /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water article 2016 ftdtupubl https://doi.org/10.5194/bg-13-4111-2016 2024-06-04T15:14:17Z Global ocean biogeochemistry models currently employed in climate change projections use highly simplified representations of pelagic food webs. These food webs do not necessarily include critical pathways by which ecosystems interact with ocean biogeochemistry and climate. Here we present a global biogeochemical model which incorporates ecosystem dynamics based on the representation of ten plankton functional types (PFTs): six types of phytoplankton, three types of zooplankton, and heterotrophic procaryotes. We improved the representation of zooplankton dynamics in our model through (a) the explicit inclusion of large, slow-growing macrozooplankton (e.g. krill), and (b) the introduction of trophic cascades among the three zooplankton types. We use the model to quantitatively assess the relative roles of iron vs. grazing in determining phytoplankton biomass in the Southern Ocean high-nutrient low-chlorophyll (HNLC) region during summer. When model simulations do not include macrozooplankton grazing explicitly, they systematically overestimate Southern Ocean chlorophyll biomass during the summer, even when there is no iron deposition from dust. When model simulations include a slow-growing macrozooplankton and trophic cascades among three zooplankton types, the high-chlorophyll summer bias in the Southern Ocean HNLC region largely disappears. Our model results suggest that the observed low phytoplankton biomass in the Southern Ocean during summer is primarily explained by the dynamics of the Southern Ocean zooplankton community, despite iron limitation of phytoplankton community growth rates. This result has implications for the representation of global biogeochemical cycles in models as zooplankton faecal pellets sink rapidly and partly control the carbon export to the intermediate and deep ocean. Article in Journal/Newspaper Southern Ocean Technical University of Denmark: DTU Orbit Southern Ocean Biogeosciences 13 14 4111 4133 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Earth-Surface Processes Ecology Evolution Behavior and Systematics Euphausiacea Prokaryota /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water |
spellingShingle |
Earth-Surface Processes Ecology Evolution Behavior and Systematics Euphausiacea Prokaryota /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water Le Quéré, Corinne Buitenhuis, Erik T. Moriarty, Róisín Alvain, Séverine Aumont, Olivier Bopp, Laurent Chollet, Sophie Enright, Clare Franklin, Daniel J. Geider, Richard J. Harrison, Sandy P. Hirst, Andrew G. Larsen, Stuart Legendre, Louis Platt, Trevor Prentice, I. Colin Rivkin, Richard B. Sailley, Sévrine Sathyendranath, Shubha Stephens, Nick Vogt, Meike Vallina, Sergio M. Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles |
topic_facet |
Earth-Surface Processes Ecology Evolution Behavior and Systematics Euphausiacea Prokaryota /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water |
description |
Global ocean biogeochemistry models currently employed in climate change projections use highly simplified representations of pelagic food webs. These food webs do not necessarily include critical pathways by which ecosystems interact with ocean biogeochemistry and climate. Here we present a global biogeochemical model which incorporates ecosystem dynamics based on the representation of ten plankton functional types (PFTs): six types of phytoplankton, three types of zooplankton, and heterotrophic procaryotes. We improved the representation of zooplankton dynamics in our model through (a) the explicit inclusion of large, slow-growing macrozooplankton (e.g. krill), and (b) the introduction of trophic cascades among the three zooplankton types. We use the model to quantitatively assess the relative roles of iron vs. grazing in determining phytoplankton biomass in the Southern Ocean high-nutrient low-chlorophyll (HNLC) region during summer. When model simulations do not include macrozooplankton grazing explicitly, they systematically overestimate Southern Ocean chlorophyll biomass during the summer, even when there is no iron deposition from dust. When model simulations include a slow-growing macrozooplankton and trophic cascades among three zooplankton types, the high-chlorophyll summer bias in the Southern Ocean HNLC region largely disappears. Our model results suggest that the observed low phytoplankton biomass in the Southern Ocean during summer is primarily explained by the dynamics of the Southern Ocean zooplankton community, despite iron limitation of phytoplankton community growth rates. This result has implications for the representation of global biogeochemical cycles in models as zooplankton faecal pellets sink rapidly and partly control the carbon export to the intermediate and deep ocean. |
format |
Article in Journal/Newspaper |
author |
Le Quéré, Corinne Buitenhuis, Erik T. Moriarty, Róisín Alvain, Séverine Aumont, Olivier Bopp, Laurent Chollet, Sophie Enright, Clare Franklin, Daniel J. Geider, Richard J. Harrison, Sandy P. Hirst, Andrew G. Larsen, Stuart Legendre, Louis Platt, Trevor Prentice, I. Colin Rivkin, Richard B. Sailley, Sévrine Sathyendranath, Shubha Stephens, Nick Vogt, Meike Vallina, Sergio M. |
author_facet |
Le Quéré, Corinne Buitenhuis, Erik T. Moriarty, Róisín Alvain, Séverine Aumont, Olivier Bopp, Laurent Chollet, Sophie Enright, Clare Franklin, Daniel J. Geider, Richard J. Harrison, Sandy P. Hirst, Andrew G. Larsen, Stuart Legendre, Louis Platt, Trevor Prentice, I. Colin Rivkin, Richard B. Sailley, Sévrine Sathyendranath, Shubha Stephens, Nick Vogt, Meike Vallina, Sergio M. |
author_sort |
Le Quéré, Corinne |
title |
Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles |
title_short |
Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles |
title_full |
Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles |
title_fullStr |
Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles |
title_full_unstemmed |
Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles |
title_sort |
role of zooplankton dynamics for southern ocean phytoplankton biomass and global biogeochemical cycles |
publishDate |
2016 |
url |
https://orbit.dtu.dk/en/publications/908c0009-9238-422b-abbb-407f1ef11549 https://doi.org/10.5194/bg-13-4111-2016 https://backend.orbit.dtu.dk/ws/files/139259706/Publishers_version.pdf |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Le Quéré , C , Buitenhuis , E T , Moriarty , R , Alvain , S , Aumont , O , Bopp , L , Chollet , S , Enright , C , Franklin , D J , Geider , R J , Harrison , S P , Hirst , A G , Larsen , S , Legendre , L , Platt , T , Prentice , I C , Rivkin , R B , Sailley , S , Sathyendranath , S , Stephens , N , Vogt , M & Vallina , S M 2016 , ' Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles ' , Biogeosciences , vol. 13 , no. 14 , pp. 4111-4133 . https://doi.org/10.5194/bg-13-4111-2016 |
op_relation |
https://orbit.dtu.dk/en/publications/908c0009-9238-422b-abbb-407f1ef11549 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/bg-13-4111-2016 |
container_title |
Biogeosciences |
container_volume |
13 |
container_issue |
14 |
container_start_page |
4111 |
op_container_end_page |
4133 |
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1802650273263386624 |