10.1594/PANGAEA.115069
Eagle, Meagan
Meagan
Eagle
0000-0001-5072-2755
Paytan, Adina
Adina
Paytan
0000-0001-8360-4712
Arrigo, Kevin R
Kevin R
Arrigo
0000-0002-7364-876X
van Dijken, Gert L
Gert L
van Dijken
0000-0002-9587-6317
Murray, Richard W
Richard W
Murray
(Table 3) Barium barite and excess comparison, accumulation rates and productivity from surface sediments
PANGAEA
2003
Event label
Sample code/label
DEPTH, sediment/rock
Depth, top/min
Depth, bottom/max
Barium in barite
Barium
Aluminium
Barium excess
Barium barite/barium excess ratio
Accumulation rate per year
Barium, flux
Barium excess, flux
Primary production of carbon per area, yearly
Export production
f-Ratio
Box corer
MultiCorer
Gravity corer
Spade box corer
Piston corer
Barium/PP (Dymond et al 1992)
ERDC
INMD
MANOP
NBP9802
PLDS-3
PLUTO-3
ANT-XI/2
RC24
TN057
TT013
V30
W7706
Thomas Washington
Melville
Nathaniel B. Palmer
Polarstern
Robert Conrad
Thomas G. Thompson
Vema
Wecoma
1973-02-15T00:00:00/1996-02-21T00:00:00
en
Supplementary Dataset
10.1029/2002PA000793
10.1029/2003PA000922
10.1029/1999PA000457
10.1029/97PA01130
10.1029/96PA02736
700 data points
text/tab-separated-values
Creative Commons Attribution 3.0 Unported
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.
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).
Supplement to: Eagle, Meagan; Paytan, Adina; Arrigo, Kevin R; van Dijken, Gert L; Murray, Richard W (2003): A comparison between excess barium and barite as indicators of carbon export. Paleoceanography, 18(1), 1021
-170.171
160.998
-66.128
8.925
Agulhas Ridge
South Atlantic
Equatorial Pacific
South Pacific Ocean