Spring plankton dynamics in the Eastern Bering Sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model

A new planktonic ecosystem model was constructed for the Eastern Bering Sea based on observations from the 2007-2010 BEST/BSIERP (Bering Ecosystem Study/Bering Sea Integrated Ecosystem Research Program) field program. When run with forcing from a data-assimilative ice-ocean hindcast of 1971-2012, th...

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Published in:Journal of Geophysical Research: Oceans
Main Authors: Banas, Neil S., Zhang, Jinlun, Campbell, Robert G., Sambrotto, Raymond N., Lomas, Michael W., Sherr, Evelyn, Sherr, Barry, Ashjian, Carin, Stoecker, Diane, Lessard, Evelyn J.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2016
Subjects:
Online Access:https://strathprints.strath.ac.uk/56156/
https://strathprints.strath.ac.uk/56156/1/Banas_etal_JGR_2016_Spring_plankton_dynamics_in_the_Eastern_Bering_Sea.pdf
https://doi.org/10.1002/2015JC011449
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author Banas, Neil S.
Zhang, Jinlun
Campbell, Robert G.
Sambrotto, Raymond N.
Lomas, Michael W.
Sherr, Evelyn
Sherr, Barry
Ashjian, Carin
Stoecker, Diane
Lessard, Evelyn J.
author_facet Banas, Neil S.
Zhang, Jinlun
Campbell, Robert G.
Sambrotto, Raymond N.
Lomas, Michael W.
Sherr, Evelyn
Sherr, Barry
Ashjian, Carin
Stoecker, Diane
Lessard, Evelyn J.
author_sort Banas, Neil S.
collection University of Strathclyde Glasgow: Strathprints
container_issue 2
container_start_page 1476
container_title Journal of Geophysical Research: Oceans
container_volume 121
description A new planktonic ecosystem model was constructed for the Eastern Bering Sea based on observations from the 2007-2010 BEST/BSIERP (Bering Ecosystem Study/Bering Sea Integrated Ecosystem Research Program) field program. When run with forcing from a data-assimilative ice-ocean hindcast of 1971-2012, the model performs well against observations of spring bloom time evolution (phytoplankton and microzooplankton biomass, growth and grazing rates, and ratios among new, regenerated, and export production). On the southern middle shelf (57°N, station M2), the model replicates the generally inverse relationship between ice-retreat timing and spring bloom timing known from observations, and the simpler direct relationship between the two that has been observed on the northern middle shelf (62°N, station M8). The relationship between simulated mean primary production and mean temperature in spring (15 February to 15 July) is generally positive, although this was found to be an indirect relationship which does not continue to apply across a future projection of temperature and ice cover in the 2040s. At M2, the leading direct controls on total spring primary production are found to be advective and turbulent nutrient supply, suggesting that mesoscale, wind-driven processes - A dvective transport and storminess - may be crucial to long-term trends in spring primary production in the southeastern Bering Sea, with temperature and ice cover playing only indirect roles. Sensitivity experiments suggest that direct dependence of planktonic growth and metabolic rates on temperature is less significant overall than the other drivers correlated with temperature described above.
format Article in Journal/Newspaper
genre Bering Sea
genre_facet Bering Sea
geographic Bering Sea
geographic_facet Bering Sea
id ftustrathclyde:oai:strathprints.strath.ac.uk:56156
institution Open Polar
language unknown
op_collection_id ftustrathclyde
op_container_end_page 1501
op_doi https://doi.org/10.1002/2015JC011449
op_relation https://strathprints.strath.ac.uk/56156/1/Banas_etal_JGR_2016_Spring_plankton_dynamics_in_the_Eastern_Bering_Sea.pdf
Banas, Neil S. <https://strathprints.strath.ac.uk/view/author/884063.html> and Zhang, Jinlun and Campbell, Robert G. and Sambrotto, Raymond N. and Lomas, Michael W. and Sherr, Evelyn and Sherr, Barry and Ashjian, Carin and Stoecker, Diane and Lessard, Evelyn J. (2016 <https://strathprints.strath.ac.uk/view/year/2016.html>) Spring plankton dynamics in the Eastern Bering Sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model. Journal of Geophysical Research: Oceans <https://strathprints.strath.ac.uk/view/publications/Journal_of_Geophysical_Research=3A_Oceans.html>, 121 (2). pp. 1476-1501. ISSN 2169-9275
publishDate 2016
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spelling ftustrathclyde:oai:strathprints.strath.ac.uk:56156 2025-04-20T14:35:05+00:00 Spring plankton dynamics in the Eastern Bering Sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model Banas, Neil S. Zhang, Jinlun Campbell, Robert G. Sambrotto, Raymond N. Lomas, Michael W. Sherr, Evelyn Sherr, Barry Ashjian, Carin Stoecker, Diane Lessard, Evelyn J. 2016-02-28 text https://strathprints.strath.ac.uk/56156/ https://strathprints.strath.ac.uk/56156/1/Banas_etal_JGR_2016_Spring_plankton_dynamics_in_the_Eastern_Bering_Sea.pdf https://doi.org/10.1002/2015JC011449 unknown https://strathprints.strath.ac.uk/56156/1/Banas_etal_JGR_2016_Spring_plankton_dynamics_in_the_Eastern_Bering_Sea.pdf Banas, Neil S. <https://strathprints.strath.ac.uk/view/author/884063.html> and Zhang, Jinlun and Campbell, Robert G. and Sambrotto, Raymond N. and Lomas, Michael W. and Sherr, Evelyn and Sherr, Barry and Ashjian, Carin and Stoecker, Diane and Lessard, Evelyn J. (2016 <https://strathprints.strath.ac.uk/view/year/2016.html>) Spring plankton dynamics in the Eastern Bering Sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model. Journal of Geophysical Research: Oceans <https://strathprints.strath.ac.uk/view/publications/Journal_of_Geophysical_Research=3A_Oceans.html>, 121 (2). pp. 1476-1501. ISSN 2169-9275 Probabilities. Mathematical statistics Article PeerReviewed 2016 ftustrathclyde https://doi.org/10.1002/2015JC011449 2025-03-21T05:43:30Z A new planktonic ecosystem model was constructed for the Eastern Bering Sea based on observations from the 2007-2010 BEST/BSIERP (Bering Ecosystem Study/Bering Sea Integrated Ecosystem Research Program) field program. When run with forcing from a data-assimilative ice-ocean hindcast of 1971-2012, the model performs well against observations of spring bloom time evolution (phytoplankton and microzooplankton biomass, growth and grazing rates, and ratios among new, regenerated, and export production). On the southern middle shelf (57°N, station M2), the model replicates the generally inverse relationship between ice-retreat timing and spring bloom timing known from observations, and the simpler direct relationship between the two that has been observed on the northern middle shelf (62°N, station M8). The relationship between simulated mean primary production and mean temperature in spring (15 February to 15 July) is generally positive, although this was found to be an indirect relationship which does not continue to apply across a future projection of temperature and ice cover in the 2040s. At M2, the leading direct controls on total spring primary production are found to be advective and turbulent nutrient supply, suggesting that mesoscale, wind-driven processes - A dvective transport and storminess - may be crucial to long-term trends in spring primary production in the southeastern Bering Sea, with temperature and ice cover playing only indirect roles. Sensitivity experiments suggest that direct dependence of planktonic growth and metabolic rates on temperature is less significant overall than the other drivers correlated with temperature described above. Article in Journal/Newspaper Bering Sea University of Strathclyde Glasgow: Strathprints Bering Sea Journal of Geophysical Research: Oceans 121 2 1476 1501
spellingShingle Probabilities. Mathematical statistics
Banas, Neil S.
Zhang, Jinlun
Campbell, Robert G.
Sambrotto, Raymond N.
Lomas, Michael W.
Sherr, Evelyn
Sherr, Barry
Ashjian, Carin
Stoecker, Diane
Lessard, Evelyn J.
Spring plankton dynamics in the Eastern Bering Sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model
title Spring plankton dynamics in the Eastern Bering Sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model
title_full Spring plankton dynamics in the Eastern Bering Sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model
title_fullStr Spring plankton dynamics in the Eastern Bering Sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model
title_full_unstemmed Spring plankton dynamics in the Eastern Bering Sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model
title_short Spring plankton dynamics in the Eastern Bering Sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model
title_sort spring plankton dynamics in the eastern bering sea, 1971-2050 : mechanisms of interannual variability diagnosed with a numerical model
topic Probabilities. Mathematical statistics
topic_facet Probabilities. Mathematical statistics
url https://strathprints.strath.ac.uk/56156/
https://strathprints.strath.ac.uk/56156/1/Banas_etal_JGR_2016_Spring_plankton_dynamics_in_the_Eastern_Bering_Sea.pdf
https://doi.org/10.1002/2015JC011449