Anthropogenic climate change drives non-stationary phytoplankton internal variability

Earth system models suggest that anthropogenic climate change will influence marine phytoplankton over the coming century with light-limited regions becoming more productive and nutrient-limited regions less productive. Anthropogenic climate change can influence not only the mean state but also the...

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Published in:Biogeosciences
Main Authors: Elsworth, Geneviève W., Lovenduski, Nicole S., Krumhardt, Kristen M., Marchitto, Thomas M., Schlunegger, Sarah
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/bg-20-4477-2023
https://bg.copernicus.org/articles/20/4477/2023/
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spelling ftcopernicus:oai:publications.copernicus.org:bg104920 2024-09-15T18:23:33+00:00 Anthropogenic climate change drives non-stationary phytoplankton internal variability Elsworth, Geneviève W. Lovenduski, Nicole S. Krumhardt, Kristen M. Marchitto, Thomas M. Schlunegger, Sarah 2023-11-10 application/pdf https://doi.org/10.5194/bg-20-4477-2023 https://bg.copernicus.org/articles/20/4477/2023/ eng eng doi:10.5194/bg-20-4477-2023 https://bg.copernicus.org/articles/20/4477/2023/ eISSN: 1726-4189 Text 2023 ftcopernicus https://doi.org/10.5194/bg-20-4477-2023 2024-08-28T05:24:15Z Earth system models suggest that anthropogenic climate change will influence marine phytoplankton over the coming century with light-limited regions becoming more productive and nutrient-limited regions less productive. Anthropogenic climate change can influence not only the mean state but also the internal variability around the mean state, yet little is known about how internal variability in marine phytoplankton will change with time. Here, we quantify the influence of anthropogenic climate change on internal variability in marine phytoplankton biomass from 1920 to 2100 using the Community Earth System Model 1 Large Ensemble (CESM1-LE). We find a significant decrease in the internal variability of global phytoplankton carbon biomass under a high emission (RCP8.5) scenario and heterogeneous regional trends. Decreasing internal variability in biomass is most apparent in the subpolar North Atlantic and North Pacific. In these high-latitude regions, bottom-up controls (e.g., nutrient supply, temperature) influence changes in biomass internal variability. In the biogeochemically critical regions of the Southern Ocean and the equatorial Pacific, bottom-up controls (e.g., light, nutrients) and top-down controls (e.g., grazer biomass) affect changes in phytoplankton carbon internal variability, respectively. Our results suggest that climate mitigation and adaptation efforts that account for marine phytoplankton changes (e.g., fisheries, marine carbon cycling) should also consider changes in phytoplankton internal variability driven by anthropogenic warming, particularly on regional scales. Text North Atlantic Southern Ocean Copernicus Publications: E-Journals Biogeosciences 20 21 4477 4490
institution Open Polar
collection Copernicus Publications: E-Journals
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language English
description Earth system models suggest that anthropogenic climate change will influence marine phytoplankton over the coming century with light-limited regions becoming more productive and nutrient-limited regions less productive. Anthropogenic climate change can influence not only the mean state but also the internal variability around the mean state, yet little is known about how internal variability in marine phytoplankton will change with time. Here, we quantify the influence of anthropogenic climate change on internal variability in marine phytoplankton biomass from 1920 to 2100 using the Community Earth System Model 1 Large Ensemble (CESM1-LE). We find a significant decrease in the internal variability of global phytoplankton carbon biomass under a high emission (RCP8.5) scenario and heterogeneous regional trends. Decreasing internal variability in biomass is most apparent in the subpolar North Atlantic and North Pacific. In these high-latitude regions, bottom-up controls (e.g., nutrient supply, temperature) influence changes in biomass internal variability. In the biogeochemically critical regions of the Southern Ocean and the equatorial Pacific, bottom-up controls (e.g., light, nutrients) and top-down controls (e.g., grazer biomass) affect changes in phytoplankton carbon internal variability, respectively. Our results suggest that climate mitigation and adaptation efforts that account for marine phytoplankton changes (e.g., fisheries, marine carbon cycling) should also consider changes in phytoplankton internal variability driven by anthropogenic warming, particularly on regional scales.
format Text
author Elsworth, Geneviève W.
Lovenduski, Nicole S.
Krumhardt, Kristen M.
Marchitto, Thomas M.
Schlunegger, Sarah
spellingShingle Elsworth, Geneviève W.
Lovenduski, Nicole S.
Krumhardt, Kristen M.
Marchitto, Thomas M.
Schlunegger, Sarah
Anthropogenic climate change drives non-stationary phytoplankton internal variability
author_facet Elsworth, Geneviève W.
Lovenduski, Nicole S.
Krumhardt, Kristen M.
Marchitto, Thomas M.
Schlunegger, Sarah
author_sort Elsworth, Geneviève W.
title Anthropogenic climate change drives non-stationary phytoplankton internal variability
title_short Anthropogenic climate change drives non-stationary phytoplankton internal variability
title_full Anthropogenic climate change drives non-stationary phytoplankton internal variability
title_fullStr Anthropogenic climate change drives non-stationary phytoplankton internal variability
title_full_unstemmed Anthropogenic climate change drives non-stationary phytoplankton internal variability
title_sort anthropogenic climate change drives non-stationary phytoplankton internal variability
publishDate 2023
url https://doi.org/10.5194/bg-20-4477-2023
https://bg.copernicus.org/articles/20/4477/2023/
genre North Atlantic
Southern Ocean
genre_facet North Atlantic
Southern Ocean
op_source eISSN: 1726-4189
op_relation doi:10.5194/bg-20-4477-2023
https://bg.copernicus.org/articles/20/4477/2023/
op_doi https://doi.org/10.5194/bg-20-4477-2023
container_title Biogeosciences
container_volume 20
container_issue 21
container_start_page 4477
op_container_end_page 4490
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