Variability in the mechanisms controlling Southern Ocean phytoplankton bloom phenology in an ocean model and satellite observations

A coupled global numerical simulation (conducted with the Community Earth System Model) is used in conjunction with satellite remote sensing observations to examine the role of top-down (grazing pressure) and bottom-up (light, nutrients) controls on marine phytoplankton bloom dynamics in the Souther...

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Published in:Global Biogeochemical Cycles
Other Authors: Rohr, Tyler (author), Long, Matthew C. (author), Kavanaugh, Maria T. (author), Lindsay, Keith (author), Doney, Scott C. (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2017
Subjects:
Online Access:https://doi.org/10.1002/2016GB005615
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spelling ftncar:oai:drupal-site.org:articles_20898 2023-09-05T13:13:28+02:00 Variability in the mechanisms controlling Southern Ocean phytoplankton bloom phenology in an ocean model and satellite observations Rohr, Tyler (author) Long, Matthew C. (author) Kavanaugh, Maria T. (author) Lindsay, Keith (author) Doney, Scott C. (author) 2017-05 https://doi.org/10.1002/2016GB005615 en eng Global Biogeochemical Cycles--Global Biogeochem. Cycles--08866236 articles:20898 ark:/85065/d7r49t6c doi:10.1002/2016GB005615 Copyright 2017 American Geophysical Union. article Text 2017 ftncar https://doi.org/10.1002/2016GB005615 2023-08-14T18:46:56Z A coupled global numerical simulation (conducted with the Community Earth System Model) is used in conjunction with satellite remote sensing observations to examine the role of top-down (grazing pressure) and bottom-up (light, nutrients) controls on marine phytoplankton bloom dynamics in the Southern Ocean. Phytoplankton seasonal phenology is evaluated in the context of the recently proposed "disturbance-recovery" hypothesis relative to more traditional, exclusively "bottom-up" frameworks. All blooms occur when phytoplankton division rates exceed loss rates to permit sustained net population growth; however, the nature of this decoupling period varies regionally in Community Earth System Model. Regional case studies illustrate how unique pathways allow blooms to emerge despite very poor division rates or very strong grazing rates. In the Subantarctic, southeast Pacific small spring blooms initiate early cooccurring with deep mixing and low division rates, consistent with the disturbance-recovery hypothesis. Similar systematics are present in the Subantarctic, southwest Atlantic during the spring but are eclipsed by a subsequent, larger summer bloom that is coincident with shallow mixing and the annual maximum in division rates, consistent with a bottom-up, light limited framework. In the model simulation, increased iron stress prevents a similar summer bloom in the southeast Pacific. In the simulated Antarctic zone (70 degrees S-65 degrees S) seasonal sea ice acts as a dominant phytoplankton-zooplankton decoupling agent, triggering a delayed but substantial bloom as ice recedes. Satellite ocean color remote sensing and ocean physical reanalysis products do not precisely match model-predicted phenology, but observed patterns do indicate regional variability in mechanism across the Atlantic and Pacific. Article in Journal/Newspaper Antarc* Antarctic Sea ice Southern Ocean OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Antarctic Pacific Southern Ocean Global Biogeochemical Cycles 31 5 922 940
institution Open Polar
collection OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research)
op_collection_id ftncar
language English
description A coupled global numerical simulation (conducted with the Community Earth System Model) is used in conjunction with satellite remote sensing observations to examine the role of top-down (grazing pressure) and bottom-up (light, nutrients) controls on marine phytoplankton bloom dynamics in the Southern Ocean. Phytoplankton seasonal phenology is evaluated in the context of the recently proposed "disturbance-recovery" hypothesis relative to more traditional, exclusively "bottom-up" frameworks. All blooms occur when phytoplankton division rates exceed loss rates to permit sustained net population growth; however, the nature of this decoupling period varies regionally in Community Earth System Model. Regional case studies illustrate how unique pathways allow blooms to emerge despite very poor division rates or very strong grazing rates. In the Subantarctic, southeast Pacific small spring blooms initiate early cooccurring with deep mixing and low division rates, consistent with the disturbance-recovery hypothesis. Similar systematics are present in the Subantarctic, southwest Atlantic during the spring but are eclipsed by a subsequent, larger summer bloom that is coincident with shallow mixing and the annual maximum in division rates, consistent with a bottom-up, light limited framework. In the model simulation, increased iron stress prevents a similar summer bloom in the southeast Pacific. In the simulated Antarctic zone (70 degrees S-65 degrees S) seasonal sea ice acts as a dominant phytoplankton-zooplankton decoupling agent, triggering a delayed but substantial bloom as ice recedes. Satellite ocean color remote sensing and ocean physical reanalysis products do not precisely match model-predicted phenology, but observed patterns do indicate regional variability in mechanism across the Atlantic and Pacific.
author2 Rohr, Tyler (author)
Long, Matthew C. (author)
Kavanaugh, Maria T. (author)
Lindsay, Keith (author)
Doney, Scott C. (author)
format Article in Journal/Newspaper
title Variability in the mechanisms controlling Southern Ocean phytoplankton bloom phenology in an ocean model and satellite observations
spellingShingle Variability in the mechanisms controlling Southern Ocean phytoplankton bloom phenology in an ocean model and satellite observations
title_short Variability in the mechanisms controlling Southern Ocean phytoplankton bloom phenology in an ocean model and satellite observations
title_full Variability in the mechanisms controlling Southern Ocean phytoplankton bloom phenology in an ocean model and satellite observations
title_fullStr Variability in the mechanisms controlling Southern Ocean phytoplankton bloom phenology in an ocean model and satellite observations
title_full_unstemmed Variability in the mechanisms controlling Southern Ocean phytoplankton bloom phenology in an ocean model and satellite observations
title_sort variability in the mechanisms controlling southern ocean phytoplankton bloom phenology in an ocean model and satellite observations
publishDate 2017
url https://doi.org/10.1002/2016GB005615
geographic Antarctic
Pacific
Southern Ocean
geographic_facet Antarctic
Pacific
Southern Ocean
genre Antarc*
Antarctic
Sea ice
Southern Ocean
genre_facet Antarc*
Antarctic
Sea ice
Southern Ocean
op_relation Global Biogeochemical Cycles--Global Biogeochem. Cycles--08866236
articles:20898
ark:/85065/d7r49t6c
doi:10.1002/2016GB005615
op_rights Copyright 2017 American Geophysical Union.
op_doi https://doi.org/10.1002/2016GB005615
container_title Global Biogeochemical Cycles
container_volume 31
container_issue 5
container_start_page 922
op_container_end_page 940
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