Including high-frequency variability in coastal ocean acidification projections
Assessing the impacts of anthropogenic ocean acidification requires knowledge of present-day and future environmental conditions. Here, we present a simple model for upwelling margins that projects anthropogenic acidification trajectories by combining high-temporal-resolution sensor data, hydrograph...
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ftdoajarticles:oai:doaj.org/article:93142cc4579f4e5793140349aded9692 2023-05-15T17:50:13+02:00 Including high-frequency variability in coastal ocean acidification projections Y. Takeshita C. A. Frieder T. R. Martz J. R. Ballard R. A. Feely S. Kram S. Nam M. O. Navarro N. N. Price J. E. Smith 2015-10-01T00:00:00Z https://doi.org/10.5194/bg-12-5853-2015 https://doaj.org/article/93142cc4579f4e5793140349aded9692 EN eng Copernicus Publications http://www.biogeosciences.net/12/5853/2015/bg-12-5853-2015.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 1726-4170 1726-4189 doi:10.5194/bg-12-5853-2015 https://doaj.org/article/93142cc4579f4e5793140349aded9692 Biogeosciences, Vol 12, Iss 19, Pp 5853-5870 (2015) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2015 ftdoajarticles https://doi.org/10.5194/bg-12-5853-2015 2022-12-31T08:49:20Z Assessing the impacts of anthropogenic ocean acidification requires knowledge of present-day and future environmental conditions. Here, we present a simple model for upwelling margins that projects anthropogenic acidification trajectories by combining high-temporal-resolution sensor data, hydrographic surveys for source water characterization, empirical relationships of the CO 2 system, and the atmospheric CO 2 record. This model characterizes CO 2 variability on timescales ranging from hours (e.g., tidal) to months (e.g., seasonal), bridging a critical knowledge gap in ocean acidification research. The amount of anthropogenic carbon in a given water mass is dependent on the age; therefore a density–age relationship was derived for the study region and then combined with the 2013 Intergovernmental Panel on Climate Change CO 2 emission scenarios to add density-dependent anthropogenic carbon to the sensor time series. The model was applied to time series from autonomous pH sensors deployed in the surf zone, kelp forest, submarine canyon edge, and shelf break in the upper 100 m of the Southern California Bight. All habitats were within 5 km of one another, and exhibited unique, habitat-specific CO 2 variability signatures and acidification trajectories, demonstrating the importance of making projections in the context of habitat-specific CO 2 signatures. In general, both the mean and range of p CO 2 increase in the future, with the greatest increase in both magnitude and range occurring in the deeper habitats due to reduced buffering capacity. On the other hand, the saturation state of aragonite (Ω Ar ) decreased in both magnitude and range. This approach can be applied to the entire California Current System, and upwelling margins in general, where sensor and complementary hydrographic data are available. Article in Journal/Newspaper Ocean acidification Directory of Open Access Journals: DOAJ Articles Biogeosciences 12 19 5853 5870 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
spellingShingle |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 Y. Takeshita C. A. Frieder T. R. Martz J. R. Ballard R. A. Feely S. Kram S. Nam M. O. Navarro N. N. Price J. E. Smith Including high-frequency variability in coastal ocean acidification projections |
topic_facet |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
description |
Assessing the impacts of anthropogenic ocean acidification requires knowledge of present-day and future environmental conditions. Here, we present a simple model for upwelling margins that projects anthropogenic acidification trajectories by combining high-temporal-resolution sensor data, hydrographic surveys for source water characterization, empirical relationships of the CO 2 system, and the atmospheric CO 2 record. This model characterizes CO 2 variability on timescales ranging from hours (e.g., tidal) to months (e.g., seasonal), bridging a critical knowledge gap in ocean acidification research. The amount of anthropogenic carbon in a given water mass is dependent on the age; therefore a density–age relationship was derived for the study region and then combined with the 2013 Intergovernmental Panel on Climate Change CO 2 emission scenarios to add density-dependent anthropogenic carbon to the sensor time series. The model was applied to time series from autonomous pH sensors deployed in the surf zone, kelp forest, submarine canyon edge, and shelf break in the upper 100 m of the Southern California Bight. All habitats were within 5 km of one another, and exhibited unique, habitat-specific CO 2 variability signatures and acidification trajectories, demonstrating the importance of making projections in the context of habitat-specific CO 2 signatures. In general, both the mean and range of p CO 2 increase in the future, with the greatest increase in both magnitude and range occurring in the deeper habitats due to reduced buffering capacity. On the other hand, the saturation state of aragonite (Ω Ar ) decreased in both magnitude and range. This approach can be applied to the entire California Current System, and upwelling margins in general, where sensor and complementary hydrographic data are available. |
format |
Article in Journal/Newspaper |
author |
Y. Takeshita C. A. Frieder T. R. Martz J. R. Ballard R. A. Feely S. Kram S. Nam M. O. Navarro N. N. Price J. E. Smith |
author_facet |
Y. Takeshita C. A. Frieder T. R. Martz J. R. Ballard R. A. Feely S. Kram S. Nam M. O. Navarro N. N. Price J. E. Smith |
author_sort |
Y. Takeshita |
title |
Including high-frequency variability in coastal ocean acidification projections |
title_short |
Including high-frequency variability in coastal ocean acidification projections |
title_full |
Including high-frequency variability in coastal ocean acidification projections |
title_fullStr |
Including high-frequency variability in coastal ocean acidification projections |
title_full_unstemmed |
Including high-frequency variability in coastal ocean acidification projections |
title_sort |
including high-frequency variability in coastal ocean acidification projections |
publisher |
Copernicus Publications |
publishDate |
2015 |
url |
https://doi.org/10.5194/bg-12-5853-2015 https://doaj.org/article/93142cc4579f4e5793140349aded9692 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_source |
Biogeosciences, Vol 12, Iss 19, Pp 5853-5870 (2015) |
op_relation |
http://www.biogeosciences.net/12/5853/2015/bg-12-5853-2015.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 1726-4170 1726-4189 doi:10.5194/bg-12-5853-2015 https://doaj.org/article/93142cc4579f4e5793140349aded9692 |
op_doi |
https://doi.org/10.5194/bg-12-5853-2015 |
container_title |
Biogeosciences |
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12 |
container_issue |
19 |
container_start_page |
5853 |
op_container_end_page |
5870 |
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1766156871636353024 |