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  • 1
    Type of Medium: Book
    Pages: Graph. Darst. , VII, 165 S.
    Language: English
    Note: Washington, DC, Univ. of Washington, Diss., 1995
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  • 2
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2013. This is the author's version of the work. It is posted here by permission of Elsevier for personal use, not for redistribution. The definitive version was published in Progress in Oceanography 120 (2014): 291-304, doi:10.1016/j.pocean.2013.10.013.
    Description: Comparative analyses of oceanic ecosystems require an objective framework to define coherent study regions and scale the patterns and processes observed within them. We applied the hierarchical patch mosaic paradigm of landscape ecology to the study of the seasonal variability of the North Pacific to facilitate comparative analysis between pelagic ecosystems and provide spatiotemporal context for Eulerian time-series studies. Using 13-year climatologies of sea surface temperature (SST), photosynthetically active radiation (PAR), and chlorophyll a (chl-a), we classified seascapes in environmental space that were monthly-resolved, dynamic and nested in space and time. To test the assumption that seascapes represent coherent regions with unique biogeochemical function and to determine the hierarchical scale that best characterized variance in biogeochemical parameters, independent data sets were analyzed across seascapes using analysis of variance (ANOVA), nested-ANOVA and multiple linear regression (MLR) analyses. We also compared the classification efficiency (as defined by the ANOVA F-statistic) of resultant dynamic seascapes to a commonly-used static classification system. Variance of nutrients and net primary productivity (NPP) were well characterized in the first two levels of hierarchy of eight seascapes nested within three superseascapes (R2 = 0.5-0.7). Dynamic boundaries at this level resulted in a nearly 2-fold increase in classification efficiency over static boundaries. MLR analyses revealed differential forcing on pCO2 across seascapes and hierarchical levels and a 33 % reduction in mean model error with increased partitioning (from 18.5 μatm to 12.0 μatm pCO2). Importantly, the empirical influence of seasonality was minor across seascapes at all hierarchical levels, suggesting that seascape partitioning minimizes the effect of non-hydrographic variables. As part of the emerging field of pelagic seascape ecology, this effort provides an improved means of monitoring and comparing oceanographic biophysical dynamics and an objective, quantitative basis by which to scale data from local experiments and observations to regional and global biogeochemical cycles.
    Description: This project was partially funded by a NASA ESS fellowship NNX07A032H (MTK), an AAAS/ NPS scholarship (MTK), and funds from the NSF Science and Technology Center for Microbial Oceanography: Research and Education (C-MORE, RML and AW).
    Keywords: North Pacific ; Seascapes ; Seasonal variations ; Pelagic environment ; Biogeochemistry ; Models
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Format: application/pdf
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  • 3
    Publication Date: 2022-05-26
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Sutton, A. J., Feely, R. A., Maenner-Jones, S., Musielwicz, S., Osborne, J., Dietrich, C., Monacci, N., Cross, J., Bott, R., Kozyr, A., Andersson, A. J., Bates, N. R., Cai, W., Cronin, M. F., De Carlo, E. H., Hales, B., Howden, S. D., Lee, C. M., Manzello, D. P., McPhaden, M. J., Melendez, M., Mickett, J. B., Newton, J. A., Noakes, S. E., Noh, J. H., Olafsdottir, S. R., Salisbury, J. E., Send, U., Trull, T. W., Vandemark, D. C., & Weller, R. A. Autonomous seawater pCO(2) and pH time series from 40 surface buoys and the emergence of anthropogenic trends. Earth System Science Data, 11(1), (2019):421-439, doi:10.5194/essd-11-421-2019.
    Description: Ship-based time series, some now approaching over 3 decades long, are critical climate records that have dramatically improved our ability to characterize natural and anthropogenic drivers of ocean carbon dioxide (CO2) uptake and biogeochemical processes. Advancements in autonomous marine carbon sensors and technologies over the last 2 decades have led to the expansion of observations at fixed time series sites, thereby improving the capability of characterizing sub-seasonal variability in the ocean. Here, we present a data product of 40 individual autonomous moored surface ocean pCO2 (partial pressure of CO2) time series established between 2004 and 2013, 17 also include autonomous pH measurements. These time series characterize a wide range of surface ocean carbonate conditions in different oceanic (17 sites), coastal (13 sites), and coral reef (10 sites) regimes. A time of trend emergence (ToE) methodology applied to the time series that exhibit well-constrained daily to interannual variability and an estimate of decadal variability indicates that the length of sustained observations necessary to detect statistically significant anthropogenic trends varies by marine environment. The ToE estimates for seawater pCO2 and pH range from 8 to 15 years at the open ocean sites, 16 to 41 years at the coastal sites, and 9 to 22 years at the coral reef sites. Only two open ocean pCO2 time series, Woods Hole Oceanographic Institution Hawaii Ocean Time-series Station (WHOTS) in the subtropical North Pacific and Stratus in the South Pacific gyre, have been deployed longer than the estimated trend detection time and, for these, deseasoned monthly means show estimated anthropogenic trends of 1.9±0.3 and 1.6±0.3 µatm yr−1, respectively. In the future, it is possible that updates to this product will allow for the estimation of anthropogenic trends at more sites; however, the product currently provides a valuable tool in an accessible format for evaluating climatology and natural variability of surface ocean carbonate chemistry in a variety of regions. Data are available at https://doi.org/10.7289/V5DB8043 and https://www.nodc.noaa.gov/ocads/oceans/Moorings/ndp097.html (Sutton et al., 2018).
    Description: We gratefully acknowledge the major funders of the pCO2 and pH observations: the Office of Oceanic and Atmospheric Research of the National Oceanic and Atmospheric Administration, US Department of Commerce, including resources from the Ocean Observing and Monitoring Division of the Climate Program Office (fund reference number 100007298) and the Ocean Acidification Program. We rely on a long list of scientific partners and technical staff who carry out buoy maintenance, sensor deployment, and ancillary measurements at sea. We thank these partners and their funders for their continued efforts in sustaining the platforms that support these long-term pCO2 and pH observations, including the following institutions: the Australian Integrated Marine Observing System, the Caribbean Coastal Ocean Observing System, Gray's Reef National Marine Sanctuary, the Marine and Freshwater Research Institute, the Murdock Charitable Trust, the National Data Buoy Center, the National Science Foundation Division of Ocean Sciences, NOAA–Korean Ministry of Oceans and Fisheries Joint Project Agreement, the Northwest Association of Networked Ocean Observing Systems, the Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (i.e., RAMA), the University of Washington, the US Integrated Ocean Observing System, and the Washington Ocean Acidification Center. The open ocean sites are part of the OceanSITES program of the Global Ocean Observing System and the Surface Ocean CO2 Observing Network. All sites are also part of the Global Ocean Acidification Observing Network. This paper is PMEL contribution number 4797.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 4
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    PANGAEA
    In:  Supplement to: Hales, Burke; Emerson, Steven R; Archer, David E (1994): Respiration and dissolution in the sediments of the western North Atlantic: estimates from models of in situ microelectrode measurements of porewater oxygen and pH. Deep Sea Research Part I: Oceanographic Research Papers, 41(4), 695-719, https://doi.org/10.1016/0967-0637(94)90050-7
    Publication Date: 2023-05-12
    Description: We present in situ microelectrode measurements of sediment formation factor and porewater oxygen and pH from six stations in the North Atlantic varying in depth from 2159 to 5380 m. A numerical model of the oxygen data indicates that fluxes of oxygen to the sediments are as much as an order of magnitude higher than benthic chamber flux measurements previously reported in the same area. Model results require dissolution driven by metabolic CO2 production within the sediments to explain the pH data; even at the station with the most undersaturated bottom waters 〉60% of the calcite dissolution occurs in response to metabolic CO2. Aragonite dissolution alone cannot provide the observed buffering of porewater pH, even at the shallowest station. A sensitivity test of the model that accounts for uncertainties in the bottom water saturation state and the stoichiometry between oxygen consumption and CO2 production during respiration constrains the dissolution rate constant for calcite to between 3 and 30% day**-1, in agreement with earlier in situ determinations of the rate constant. Model results predict that over 35% of the calcium carbonate rain to these sediments dissolves at all stations, confirmed by sediment trap and CaCO3 accumulation data.
    Keywords: ADEPD; ADEPDCruises; ADEPDCruises_H_11_BOTTLE; ADEPDCruises_H_11_SC; ADEPDCruises_H_5_BOTTLE; ADEPDCruises_H_5_SC; ADEPDCruises_H_6_BOTTLE; ADEPDCruises_H_7_BOTTLE; ADEPDCruises_H_7_SC; ADEPDCruises_H_8_BOTTLE; ADEPDCruises_H_8_SC; ADEPDCruises_H_9_BOTTLE; ADEPDCruises_H_9_SC; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Bottle, Niskin; Box corer; H_11_BOTTLE; H_11_SC; H_11BC-no3; H_11BC-o2; H_11-me; H_5_BOTTLE; H_5_SC; H_5BC-no3; H_5BC-o2; H_5BC-s; H_5-me; H_6_BOTTLE; H_6BC-no3; H_6BC-o2; H_6BC-s; H_7_BOTTLE; H_7_SC; H_7BC-o2; H_7BC-s; H_7-me; H_8_BOTTLE; H_8_SC; H_8BC-no3; H_8BC-o2; H_8BC-s; H_8-me; H_9_BOTTLE; H_9_SC; H_9BC-no3; H_9BC-o2; H_9BC-s; H_9-me; NIS; SC; Soil combustion
    Type: Dataset
    Format: application/zip, 33 datasets
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  • 5
    Publication Date: 2023-05-12
    Keywords: ADEPD; ADEPDCruises; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Box corer; DEPTH, sediment/rock; H_11-me; Oxygen
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 6
    Publication Date: 2023-05-12
    Keywords: ADEPD; ADEPDCruises; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Box corer; DEPTH, sediment/rock; H_11BC-no3; Nitrate
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 7
    Publication Date: 2023-05-12
    Keywords: ADEPD; ADEPDCruises; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Box corer; DEPTH, sediment/rock; H_11BC-o2; Oxygen
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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  • 8
    Publication Date: 2023-05-12
    Keywords: ADEPD; ADEPDCruises; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Box corer; DEPTH, sediment/rock; H_5-me; Oxygen
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 9
    Publication Date: 2023-05-12
    Keywords: ADEPD; ADEPDCruises; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Box corer; DEPTH, sediment/rock; H_5BC-no3; Nitrate
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 10
    Publication Date: 2023-05-12
    Keywords: ADEPD; ADEPDCruises; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Box corer; DEPTH, sediment/rock; H_5BC-o2; Oxygen
    Type: Dataset
    Format: text/tab-separated-values, 5 data points
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