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| Titel |
Including high-frequency variability in coastal ocean acidification projections |
| VerfasserIn |
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 |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 12, no. 19 ; Nr. 12, no. 19 (2015-10-14), S.5853-5870 |
| Datensatznummer |
250118124
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| Publikation (Nr.) |
 copernicus.org/bg-12-5853-2015.pdf |
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| Zusammenfassung |
| 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
CO2 system, and the atmospheric CO2 record. This model
characterizes CO2 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 CO2 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 CO2 variability signatures and acidification
trajectories, demonstrating the importance of making projections in the
context of habitat-specific CO2 signatures. In general, both the mean
and range of pCO2 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 (ΩAr) 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. |
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