Forecasting ocean acidification impacts on kelp forest ecosystems

Ocean acidification is one the biggest threats to marine ecosystems worldwide, but its ecosystem wide responses are still poorly understood. This study integrates field and experimental data into a mass balance food web model of a temperate coastal ecosystem to determine the impacts of specific OA f...

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Published in:PLOS ONE
Main Authors: Schlenger, Adam J., Beas-Luna, Rodrigo, Ambrose, Richard F.
Format: Text
Language:English
Published: Public Library of Science 2021
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061940/
http://www.ncbi.nlm.nih.gov/pubmed/33886569
https://doi.org/10.1371/journal.pone.0236218
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spelling ftpubmed:oai:pubmedcentral.nih.gov:8061940 2023-05-15T17:50:47+02:00 Forecasting ocean acidification impacts on kelp forest ecosystems Schlenger, Adam J. Beas-Luna, Rodrigo Ambrose, Richard F. 2021-04-22 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061940/ http://www.ncbi.nlm.nih.gov/pubmed/33886569 https://doi.org/10.1371/journal.pone.0236218 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061940/ http://www.ncbi.nlm.nih.gov/pubmed/33886569 http://dx.doi.org/10.1371/journal.pone.0236218 © 2021 Schlenger et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY PLoS One Research Article Text 2021 ftpubmed https://doi.org/10.1371/journal.pone.0236218 2021-05-09T00:30:08Z Ocean acidification is one the biggest threats to marine ecosystems worldwide, but its ecosystem wide responses are still poorly understood. This study integrates field and experimental data into a mass balance food web model of a temperate coastal ecosystem to determine the impacts of specific OA forcing mechanisms as well as how they interact with one another. Specifically, we forced a food web model of a kelp forest ecosystem near its southern distribution limit in the California large marine ecosystem to a 0.5 pH drop over the course of 50 years. This study utilizes a modeling approach to determine the impacts of specific OA forcing mechanisms as well as how they interact. Isolating OA impacts on growth (Production), mortality (Other Mortality), and predation interactions (Vulnerability) or combining all three mechanisms together leads to a variety of ecosystem responses, with some taxa increasing in abundance and other decreasing. Results suggest that carbonate mineralizing groups such as coralline algae, abalone, snails, and lobsters display the largest decreases in biomass while macroalgae, urchins, and some larger fish species display the largest increases. Low trophic level groups such as giant kelp and brown algae increase in biomass by 16% and 71%, respectively. Due to the diverse way in which OA stress manifests at both individual and population levels, ecosystem-level effects can vary and display nonlinear patterns. Combined OA forcing leads to initial increases in ecosystem and commercial biomasses followed by a decrease in commercial biomass below initial values over time, while ecosystem biomass remains high. Both biodiversity and average trophic level decrease over time. These projections indicate that the kelp forest community would maintain high productivity with a 0.5 drop in pH, but with a substantially different community structure characterized by lower biodiversity and relatively greater dominance by lower trophic level organisms. Text Ocean acidification PubMed Central (PMC) PLOS ONE 16 4 e0236218
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Schlenger, Adam J.
Beas-Luna, Rodrigo
Ambrose, Richard F.
Forecasting ocean acidification impacts on kelp forest ecosystems
topic_facet Research Article
description Ocean acidification is one the biggest threats to marine ecosystems worldwide, but its ecosystem wide responses are still poorly understood. This study integrates field and experimental data into a mass balance food web model of a temperate coastal ecosystem to determine the impacts of specific OA forcing mechanisms as well as how they interact with one another. Specifically, we forced a food web model of a kelp forest ecosystem near its southern distribution limit in the California large marine ecosystem to a 0.5 pH drop over the course of 50 years. This study utilizes a modeling approach to determine the impacts of specific OA forcing mechanisms as well as how they interact. Isolating OA impacts on growth (Production), mortality (Other Mortality), and predation interactions (Vulnerability) or combining all three mechanisms together leads to a variety of ecosystem responses, with some taxa increasing in abundance and other decreasing. Results suggest that carbonate mineralizing groups such as coralline algae, abalone, snails, and lobsters display the largest decreases in biomass while macroalgae, urchins, and some larger fish species display the largest increases. Low trophic level groups such as giant kelp and brown algae increase in biomass by 16% and 71%, respectively. Due to the diverse way in which OA stress manifests at both individual and population levels, ecosystem-level effects can vary and display nonlinear patterns. Combined OA forcing leads to initial increases in ecosystem and commercial biomasses followed by a decrease in commercial biomass below initial values over time, while ecosystem biomass remains high. Both biodiversity and average trophic level decrease over time. These projections indicate that the kelp forest community would maintain high productivity with a 0.5 drop in pH, but with a substantially different community structure characterized by lower biodiversity and relatively greater dominance by lower trophic level organisms.
format Text
author Schlenger, Adam J.
Beas-Luna, Rodrigo
Ambrose, Richard F.
author_facet Schlenger, Adam J.
Beas-Luna, Rodrigo
Ambrose, Richard F.
author_sort Schlenger, Adam J.
title Forecasting ocean acidification impacts on kelp forest ecosystems
title_short Forecasting ocean acidification impacts on kelp forest ecosystems
title_full Forecasting ocean acidification impacts on kelp forest ecosystems
title_fullStr Forecasting ocean acidification impacts on kelp forest ecosystems
title_full_unstemmed Forecasting ocean acidification impacts on kelp forest ecosystems
title_sort forecasting ocean acidification impacts on kelp forest ecosystems
publisher Public Library of Science
publishDate 2021
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061940/
http://www.ncbi.nlm.nih.gov/pubmed/33886569
https://doi.org/10.1371/journal.pone.0236218
genre Ocean acidification
genre_facet Ocean acidification
op_source PLoS One
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061940/
http://www.ncbi.nlm.nih.gov/pubmed/33886569
http://dx.doi.org/10.1371/journal.pone.0236218
op_rights © 2021 Schlenger et al
https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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