Eagle, Meagan; Paytan, Adina; Arrigo, Kevin R; van Dijken, Gert L; Murray, Richard W (2003): (Table 3) Barium barite and excess comparison, accumulation rates and productivity from surface sediments [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.115069, Supplement to: Eagle, M et al. (2003): A comparison between excess barium and barite as indicators of carbon export. Paleoceanography, 18(1), 1021, https://doi.org/10.1029/2002PA000793
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
Since Dymond et al. (1992, doi:10.1029/92PA00181) proposed the paleoproductivity algorithm based on “Bio-Ba”, which relies on a strong correlation between Ba and organic carbon fluxes in sediment traps, this proxy has been applied in many paleoproductivity studies. Barite, the main carrier of particulate barium in the water column and the phase associated with carbon export, has also been suggested as a reliable paleoproductivity proxy in some locations. We demonstrate that Ba(excess) (total barium minus the fraction associated with terrigenous material) frequently overestimates Ba(barite) (barium associated with the mineral barite), most likely due to the inclusion of barium from phases other than barite and terrigenous silicates (e.g., carbonate, organic matter, opal, Fe-Mn oxides, and hydroxides). A comparison between overlying oceanic carbon export and carbon export derived from Ba(excess) shows that the Dymond et al. (1992) algorithm frequently underestimates carbon export but is still a useful carbon export indicator if all caveats are considered before the algorithm is applied. Ba(barite) accumulation rates from a wide range of core top sediments from different oceanic settings are highly correlated to surface ocean 14C and Chlorophyll a measurements of primary production. This relationship varies by ocean basin, but with the application of the appropriate f ratio to 14C and Chlorophyll a primary production estimates, the plot of Ba(barite) accumulation and carbon export for the equatorial Pacific, Atlantic, and Southern Ocean converges to a global relationship that can be used to reconstruct paleo carbon export.
Related to:
Eagle, Meagan; Paytan, Adina; Arrigo, Kevin R; van Dijken, Gert L; Murray, Richard W (2003): Correction to “A comparison between excess barium and barite as indicators of carbon export”. Paleoceanography, 18(3), 1060, https://doi.org/10.1029/2003PA000922
Murray, Richard W; Knowlton, Christopher; Leinen, Margaret W; Mix, Alan C; Polsky, CH (2000): Export production and carbonate dissolution in the central equatorial Pacific Ocean over the past 1 Myr. Paleoceanography, 15(6), 570-592, https://doi.org/10.1029/1999PA000457
Nürnberg, Christine Caroline; Bohrmann, Gerhard; Frank, Martin; Schlüter, Michael (1997): Barium accumulation in the Atlantic sector of the Southern Ocean - Results from 190,000 year records. Paleoceanography, 12(4), 594-603, https://doi.org/10.1029/97PA01130
Schroeder, J O; Murray, Richard W; Leinen, Margaret W; Pflaum, Ronald C; Janecek, Thomas R (1997): Barium in equatorial Pacific carbonate sediment: Terrigenous, oxide, and biogenic associations. Paleoceanography, 12(1), 125-146, https://doi.org/10.1029/96PA02736
Coverage:
Median Latitude: -21.829528 * Median Longitude: -86.931187 * South-bound Latitude: -66.128000 * West-bound Longitude: -170.171000 * North-bound Latitude: 8.925000 * East-bound Longitude: 160.998000
Date/Time Start: 1973-02-15T00:00:00 * Date/Time End: 1996-02-21T00:00:00
Minimum DEPTH, sediment/rock: 0.025 m * Maximum DEPTH, sediment/rock: 0.175 m
Event(s):
ERDC-088BX * Latitude: -0.048000 * Longitude: 155.868000 * Date/Time: 1975-04-18T00:00:00 * Elevation: -1924.0 m * Campaign: ERDC * Basis: Thomas Washington * Method/Device: Box corer (BC)
Comment:
This data set gives table 3 as reported in the Erratum. Ba total and Al total analyses of TT013 samples from Schroeder et al. (1997) and Murray et al. (2000), PS samples from Nürnberg et al. (1995).
Parameter(s):
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
700 data points