Multi-nutrient, multi-group model of present and future oceanic phytoplankton communities
International audience Phytoplankton community composition profoundly affects patterns of nutrient cycling and the dynamics of marine food webs; therefore predicting present and future phytoplankton community structure is crucial to understand how ocean ecosystems respond to physical forcing and nut...
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ftinsu:oai:HAL:hal-00297584v1 2023-12-24T10:23:01+01:00 Multi-nutrient, multi-group model of present and future oceanic phytoplankton communities Litchman, E. Klausmeier, C. A. Miller, J. R. Schofield, O. M. Falkowski, P. G. Institute of Marine and Coastal Sciences Rutgers, The State University of New Jersey New Brunswick (RU) Rutgers University System (Rutgers)-Rutgers University System (Rutgers) Michigan State University East Lansing Michigan State University System Department of Ecology and Evolutionary Biology Princeton Princeton University 2006-11-28 https://hal.science/hal-00297584 https://hal.science/hal-00297584/document https://hal.science/hal-00297584/file/bg-3-585-2006.pdf en eng HAL CCSD European Geosciences Union hal-00297584 https://hal.science/hal-00297584 https://hal.science/hal-00297584/document https://hal.science/hal-00297584/file/bg-3-585-2006.pdf info:eu-repo/semantics/OpenAccess ISSN: 1726-4170 EISSN: 1726-4189 Biogeosciences https://hal.science/hal-00297584 Biogeosciences, 2006, 3 (4), pp.585-606 [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences info:eu-repo/semantics/article Journal articles 2006 ftinsu 2023-11-29T17:26:22Z International audience Phytoplankton community composition profoundly affects patterns of nutrient cycling and the dynamics of marine food webs; therefore predicting present and future phytoplankton community structure is crucial to understand how ocean ecosystems respond to physical forcing and nutrient limitations. We develop a mechanistic model of phytoplankton communities that includes multiple taxonomic groups (diatoms, coccolithophores and prasinophytes), nutrients (nitrate, ammonium, phosphate, silicate and iron), light, and a generalist zooplankton grazer. Each taxonomic group was parameterized based on an extensive literature survey. We test the model at two contrasting sites in the modern ocean, the North Atlantic (North Atlantic Bloom Experiment, NABE) and subarctic North Pacific (ocean station Papa, OSP). The model successfully predicts general patterns of community composition and succession at both sites: In the North Atlantic, the model predicts a spring diatom bloom, followed by coccolithophore and prasinophyte blooms later in the season. In the North Pacific, the model reproduces the low chlorophyll community dominated by prasinophytes and coccolithophores, with low total biomass variability and high nutrient concentrations throughout the year. Sensitivity analysis revealed that the identity of the most sensitive parameters and the range of acceptable parameters differed between the two sites. We then use the model to predict community reorganization under different global change scenarios: a later onset and extended duration of stratification, with shallower mixed layer depths due to increased greenhouse gas concentrations; increase in deep water nitrogen; decrease in deep water phosphorus and increase or decrease in iron concentration. To estimate uncertainty in our predictions, we used a Monte Carlo sampling of the parameter space where future scenarios were run using parameter combinations that produced acceptable modern day outcomes and the robustness of the predictions was determined. ... Article in Journal/Newspaper North Atlantic Subarctic Institut national des sciences de l'Univers: HAL-INSU Pacific |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
spellingShingle |
[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences Litchman, E. Klausmeier, C. A. Miller, J. R. Schofield, O. M. Falkowski, P. G. Multi-nutrient, multi-group model of present and future oceanic phytoplankton communities |
topic_facet |
[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
description |
International audience Phytoplankton community composition profoundly affects patterns of nutrient cycling and the dynamics of marine food webs; therefore predicting present and future phytoplankton community structure is crucial to understand how ocean ecosystems respond to physical forcing and nutrient limitations. We develop a mechanistic model of phytoplankton communities that includes multiple taxonomic groups (diatoms, coccolithophores and prasinophytes), nutrients (nitrate, ammonium, phosphate, silicate and iron), light, and a generalist zooplankton grazer. Each taxonomic group was parameterized based on an extensive literature survey. We test the model at two contrasting sites in the modern ocean, the North Atlantic (North Atlantic Bloom Experiment, NABE) and subarctic North Pacific (ocean station Papa, OSP). The model successfully predicts general patterns of community composition and succession at both sites: In the North Atlantic, the model predicts a spring diatom bloom, followed by coccolithophore and prasinophyte blooms later in the season. In the North Pacific, the model reproduces the low chlorophyll community dominated by prasinophytes and coccolithophores, with low total biomass variability and high nutrient concentrations throughout the year. Sensitivity analysis revealed that the identity of the most sensitive parameters and the range of acceptable parameters differed between the two sites. We then use the model to predict community reorganization under different global change scenarios: a later onset and extended duration of stratification, with shallower mixed layer depths due to increased greenhouse gas concentrations; increase in deep water nitrogen; decrease in deep water phosphorus and increase or decrease in iron concentration. To estimate uncertainty in our predictions, we used a Monte Carlo sampling of the parameter space where future scenarios were run using parameter combinations that produced acceptable modern day outcomes and the robustness of the predictions was determined. ... |
author2 |
Institute of Marine and Coastal Sciences Rutgers, The State University of New Jersey New Brunswick (RU) Rutgers University System (Rutgers)-Rutgers University System (Rutgers) Michigan State University East Lansing Michigan State University System Department of Ecology and Evolutionary Biology Princeton Princeton University |
format |
Article in Journal/Newspaper |
author |
Litchman, E. Klausmeier, C. A. Miller, J. R. Schofield, O. M. Falkowski, P. G. |
author_facet |
Litchman, E. Klausmeier, C. A. Miller, J. R. Schofield, O. M. Falkowski, P. G. |
author_sort |
Litchman, E. |
title |
Multi-nutrient, multi-group model of present and future oceanic phytoplankton communities |
title_short |
Multi-nutrient, multi-group model of present and future oceanic phytoplankton communities |
title_full |
Multi-nutrient, multi-group model of present and future oceanic phytoplankton communities |
title_fullStr |
Multi-nutrient, multi-group model of present and future oceanic phytoplankton communities |
title_full_unstemmed |
Multi-nutrient, multi-group model of present and future oceanic phytoplankton communities |
title_sort |
multi-nutrient, multi-group model of present and future oceanic phytoplankton communities |
publisher |
HAL CCSD |
publishDate |
2006 |
url |
https://hal.science/hal-00297584 https://hal.science/hal-00297584/document https://hal.science/hal-00297584/file/bg-3-585-2006.pdf |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic Subarctic |
genre_facet |
North Atlantic Subarctic |
op_source |
ISSN: 1726-4170 EISSN: 1726-4189 Biogeosciences https://hal.science/hal-00297584 Biogeosciences, 2006, 3 (4), pp.585-606 |
op_relation |
hal-00297584 https://hal.science/hal-00297584 https://hal.science/hal-00297584/document https://hal.science/hal-00297584/file/bg-3-585-2006.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1786196689961353216 |