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High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison

The effect of Ocean Acidification (OA) on marine biota is quasi-predictable at best. While perturbation studies, in the form of incubations under elevated pCO(2), reveal sensitivities and responses of individual species, one missing link in the OA story results from a chronic lack of pH data specifi...

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Autores principales: Hofmann, Gretchen E., Smith, Jennifer E., Johnson, Kenneth S., Send, Uwe, Levin, Lisa A., Micheli, Fiorenza, Paytan, Adina, Price, Nichole N., Peterson, Brittany, Takeshita, Yuichiro, Matson, Paul G., Crook, Elizabeth Derse, Kroeker, Kristy J., Gambi, Maria Cristina, Rivest, Emily B., Frieder, Christina A., Yu, Pauline C., Martz, Todd R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3242773/
https://www.ncbi.nlm.nih.gov/pubmed/22205986
http://dx.doi.org/10.1371/journal.pone.0028983
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author Hofmann, Gretchen E.
Smith, Jennifer E.
Johnson, Kenneth S.
Send, Uwe
Levin, Lisa A.
Micheli, Fiorenza
Paytan, Adina
Price, Nichole N.
Peterson, Brittany
Takeshita, Yuichiro
Matson, Paul G.
Crook, Elizabeth Derse
Kroeker, Kristy J.
Gambi, Maria Cristina
Rivest, Emily B.
Frieder, Christina A.
Yu, Pauline C.
Martz, Todd R.
author_facet Hofmann, Gretchen E.
Smith, Jennifer E.
Johnson, Kenneth S.
Send, Uwe
Levin, Lisa A.
Micheli, Fiorenza
Paytan, Adina
Price, Nichole N.
Peterson, Brittany
Takeshita, Yuichiro
Matson, Paul G.
Crook, Elizabeth Derse
Kroeker, Kristy J.
Gambi, Maria Cristina
Rivest, Emily B.
Frieder, Christina A.
Yu, Pauline C.
Martz, Todd R.
author_sort Hofmann, Gretchen E.
collection PubMed
description The effect of Ocean Acidification (OA) on marine biota is quasi-predictable at best. While perturbation studies, in the form of incubations under elevated pCO(2), reveal sensitivities and responses of individual species, one missing link in the OA story results from a chronic lack of pH data specific to a given species' natural habitat. Here, we present a compilation of continuous, high-resolution time series of upper ocean pH, collected using autonomous sensors, over a variety of ecosystems ranging from polar to tropical, open-ocean to coastal, kelp forest to coral reef. These observations reveal a continuum of month-long pH variability with standard deviations from 0.004 to 0.277 and ranges spanning 0.024 to 1.430 pH units. The nature of the observed variability was also highly site-dependent, with characteristic diel, semi-diurnal, and stochastic patterns of varying amplitudes. These biome-specific pH signatures disclose current levels of exposure to both high and low dissolved CO(2), often demonstrating that resident organisms are already experiencing pH regimes that are not predicted until 2100. Our data provide a first step toward crystallizing the biophysical link between environmental history of pH exposure and physiological resilience of marine organisms to fluctuations in seawater CO(2). Knowledge of this spatial and temporal variation in seawater chemistry allows us to improve the design of OA experiments: we can test organisms with a priori expectations of their tolerance guardrails, based on their natural range of exposure. Such hypothesis-testing will provide a deeper understanding of the effects of OA. Both intuitively simple to understand and powerfully informative, these and similar comparative time series can help guide management efforts to identify areas of marine habitat that can serve as refugia to acidification as well as areas that are particularly vulnerable to future ocean change.
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spelling pubmed-32427732011-12-28 High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison Hofmann, Gretchen E. Smith, Jennifer E. Johnson, Kenneth S. Send, Uwe Levin, Lisa A. Micheli, Fiorenza Paytan, Adina Price, Nichole N. Peterson, Brittany Takeshita, Yuichiro Matson, Paul G. Crook, Elizabeth Derse Kroeker, Kristy J. Gambi, Maria Cristina Rivest, Emily B. Frieder, Christina A. Yu, Pauline C. Martz, Todd R. PLoS One Research Article The effect of Ocean Acidification (OA) on marine biota is quasi-predictable at best. While perturbation studies, in the form of incubations under elevated pCO(2), reveal sensitivities and responses of individual species, one missing link in the OA story results from a chronic lack of pH data specific to a given species' natural habitat. Here, we present a compilation of continuous, high-resolution time series of upper ocean pH, collected using autonomous sensors, over a variety of ecosystems ranging from polar to tropical, open-ocean to coastal, kelp forest to coral reef. These observations reveal a continuum of month-long pH variability with standard deviations from 0.004 to 0.277 and ranges spanning 0.024 to 1.430 pH units. The nature of the observed variability was also highly site-dependent, with characteristic diel, semi-diurnal, and stochastic patterns of varying amplitudes. These biome-specific pH signatures disclose current levels of exposure to both high and low dissolved CO(2), often demonstrating that resident organisms are already experiencing pH regimes that are not predicted until 2100. Our data provide a first step toward crystallizing the biophysical link between environmental history of pH exposure and physiological resilience of marine organisms to fluctuations in seawater CO(2). Knowledge of this spatial and temporal variation in seawater chemistry allows us to improve the design of OA experiments: we can test organisms with a priori expectations of their tolerance guardrails, based on their natural range of exposure. Such hypothesis-testing will provide a deeper understanding of the effects of OA. Both intuitively simple to understand and powerfully informative, these and similar comparative time series can help guide management efforts to identify areas of marine habitat that can serve as refugia to acidification as well as areas that are particularly vulnerable to future ocean change. Public Library of Science 2011-12-19 /pmc/articles/PMC3242773/ /pubmed/22205986 http://dx.doi.org/10.1371/journal.pone.0028983 Text en Hofmann et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hofmann, Gretchen E.
Smith, Jennifer E.
Johnson, Kenneth S.
Send, Uwe
Levin, Lisa A.
Micheli, Fiorenza
Paytan, Adina
Price, Nichole N.
Peterson, Brittany
Takeshita, Yuichiro
Matson, Paul G.
Crook, Elizabeth Derse
Kroeker, Kristy J.
Gambi, Maria Cristina
Rivest, Emily B.
Frieder, Christina A.
Yu, Pauline C.
Martz, Todd R.
High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison
title High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison
title_full High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison
title_fullStr High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison
title_full_unstemmed High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison
title_short High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison
title_sort high-frequency dynamics of ocean ph: a multi-ecosystem comparison
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3242773/
https://www.ncbi.nlm.nih.gov/pubmed/22205986
http://dx.doi.org/10.1371/journal.pone.0028983
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