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Loubere, Paul (1994): Oxygen content and paleoproductivity from surface sediment samples Y69-86 to PLDS-004G [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.52670, Supplement to: Loubere, P (1994): Quantitative estimation of surface ocean productivity and bottom water oxygen concentration using benthic foraminifera. Paleoceanography, 9(5), 723-738, https://doi.org/10.1029/94PA01624

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Abstract:
Quantitative estimation of surface ocean productivity and bottom water oxygen concentration with benthic foraminifera was attempted using 70 samples from equatorial and North Pacific surface sediments. These samples come from a well defined depth range in the ocean, between 2200 and 3200 m, so that depth related factors do not interfere with the estimation. Samples were selected so that foraminifera were well preserved in the sediments and temperature and salinity were nearly uniform (T = 1.5° C; S = 34.6 per mil). The sample set was also assembled so as to minimize the correlation often seen between surface ocean productivity and bottom water oxygen values (r**2 = 0.23 for prediction purposes in this case). This procedure reduced the chances of spurious results due to correlations between the environmental variables. The samples encompass a range of productivities from about 25 to >300 gC m**-2 yr**-1, and a bottom water oxygen range from 1.8 to 3.5 ml/L. Benthic foraminiferal assemblages were quantified using the >62 µm fraction of the sediments and 46 taxon categories. MANOVA multivariate regression was used to project the faunal matrix onto the two environmental dimensions using published values for productivity and bottom water oxygen to calibrate this operation. The success of this regression was measured with the multivariate r? which was 0.98 for the productivity dimension and 0.96 for the oxygen dimension. These high coefficients indicate that both environmental variables are strongly imbedded in the faunal data matrix. Analysis of the beta regression coefficients shows that the environmental signals are carried by groups of taxa which are consistent with previous work characterizing benthic foraminiferal responses to productivity and bottom water oxygen. The results of this study suggest that benthic foraminiferal assemblages can be used for quantitative reconstruction of surface ocean productivity and bottom water oxygen concentrations if suitable surface sediment calibration data sets are developed and appropriate means for detecting no-analog samples are found.
Coverage:
Median Latitude: -1.390357 * Median Longitude: -110.739376 * South-bound Latitude: -28.092000 * West-bound Longitude: 157.663000 * North-bound Latitude: 51.155000 * East-bound Longitude: -77.563000
Date/Time Start: 1963-04-24T00:00:00 * Date/Time End: 1976-05-22T00:00:00
Minimum DEPTH, sediment/rock: m * Maximum DEPTH, sediment/rock: m
Event(s):
AMPH-019G  * Latitude: -8.333000 * Longitude: -107.783000 * Date/Time: 1963-12-20T00:00:00 * Elevation: -3090.0 m * Campaign: AMPHITRITE (AMPH01AR) * Basis: Argo * Method/Device: Gravity corer (GC)
AMPH-020P  * Latitude: -8.483000 * Longitude: -107.433000 * Date/Time: 1963-12-21T00:00:00 * Elevation: -3090.0 m * Campaign: AMPHITRITE (AMPH01AR) * Basis: Argo * Method/Device: Piston corer (PC)
AMPH-031GV  * Latitude: -18.467000 * Longitude: -112.183000 * Date/Time: 1963-12-27T00:00:00 * Elevation: -3160.0 m * Campaign: AMPHITRITE (AMPH01AR) * Basis: Argo * Method/Device: Gravity corer (GC)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEvent
Latitude of eventLatitude
Longitude of eventLongitude
Elevation of eventElevationm
DEPTH, sediment/rockDepth sedmGeocode
CommentCommentLoubere, PaulgC/m**2/a surface water productivity
Paleoproductivity as carbonPP Cg/m2/aLoubere, PaulCalculatedestimated from multivariate regression analysis
OxygenO2µmol/lLoubere, Paul
OxygenO2µmol/lLoubere, PaulCalculatedestimated from multivariate regression analysis
Size:
280 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Event

Latitude

Longitude

Elevation [m]

Depth sed [m]

Comment
(gC/m**2/a surface water produ...)

PP C [g/m2/a]
(estimated from multivariate r...)

O2 [µmol/l]

O2 [µmol/l]
(estimated from multivariate r...)
KK71-FFC-107 -12.1500-110.6167-3091040-60403.53.44
KK71-FFC-105 -12.0833-110.6167-3094040-60523.53.42
KK71-FFC-108 -12.0833-110.6167-3068040-60363.53.50
KK71-FFC-111 -12.0833-110.6000-3047040-60543.53.50
KK71-FFC-172 -10.7667-110.0333-3021040-60573.53.52
KK71-FFC-171 -10.7500-110.0333-2993040-60553.53.47
KK71-FFC-169 -10.7167-110.0167-3167040-60543.53.54
KK71-FFC-179 -10.4333-110.3000-2902040-60503.53.42
KK71-FFC-199 -6.2500-106.6150-3049090-1251203.53.53
KK71-FFC-197 -6.2167-106.6683-3118090-125843.53.48
KK71-FFC-195 -6.1333-106.7133-3071090-125983.53.48
KK71-FFC-205 -6.1000-106.5900-2948090-1251273.53.63
KK71-FFC-188 -5.9667-108.9033-2954090-1251073.53.51
AT_II-054_14PG -5.7320-107.5680-3190090-1251073.53.39
AT_II-054_14PC -5.7320-107.5680-3190090-1251093.53.50
AT_II-054_25PC -4.2700-85.8970-3225070-100882.42.41
KK71-FFC-7W -0.4900-102.1767-31000125-1801443.53.41
AT_II-054_01PG 4.8850-83.4320-3170060-90673.53.38
AMPH-019G -8.3330-107.7830-3090060-90733.53.40
AMPH-020P -8.4830-107.4330-3090060-90683.53.60
AMPH-031GV -18.4670-112.1830-3160030-40353.53.46
BC223 35.5700-122.1200-18640325-3753491.81.79
GS7202-15 3.2670-97.8330-2986090-1101053.03.06
GS7202-16 0.0070-98.0530-31830100-1801513.23.32
GS7202-33 -13.5830-112.4000-3119040-60573.53.61
GS7202-56 -20.0270-80.7030-3248090-1251033.53.60
GS7202-74G -27.5970-112.3720-26410<30253.53.47
GS7202-79G -27.9320-113.3680-31550<30293.53.48
GS7202-86G -28.0920-113.3870-30610<30253.53.50
P6702-9 -2.0670-103.0000-32810100-140953.53.11
P6702-33G -10.0170-109.6500-3124060-90663.53.49
P6702-34G -9.3330-109.9000-2807060-90743.53.52
P6702-35G -8.3170-109.8500-2914060-90833.53.50
P6702-57 1.3330-87.1830-27490100-1501142.62.43
P6702-58 1.3330-87.2000-27580100-1501322.62.72
P6702-59 2.7500-85.3330-3274090-1101042.62.54
KE1GGGC1 51.1550167.6633-2393090-125981.91.91
KK72-FFC33W -24.5000-111.7167-32110<30183.53.60
KK72-FFC37 -24.4833-111.4667-27880<30283.53.64
KK72-FFC41 -24.4833-111.8833-29510<30283.53.42
KK73-1025 33.6050-179.5500-2424040-60422.12.09
KK80-0714 31.7733-162.8767-2739030-40452.32.27
LG85NC96C 40.7400-127.6933-2685090-1301012.52.50
LG85NCGC6 41.0100-127.6533-2655090-1301082.52.55
OC73-3-024 -20.2050-112.1120-32570<30273.53.52
PLDS-001G -3.4150-102.7650-31760100-1401233.53.55
PLDS-004G -3.4330-102.7030-31940100-1401283.53.51
RC09-101 -25.8300-118.5000-30430<30203.53.43
RC14-172 50.3850-142.6000-2255060-90751.81.77
SCAN-027G 32.6170158.2370-2644040-60542.52.54
SCAN-028G 32.2320157.6630-2858040-60742.72.82
V19-50 -17.0300-112.2000-3186030-40383.53.37
V19-51 -17.0200-112.6000-2988030-40463.53.60
VM20-19 47.9500168.7983-2739090-1251122.22.27
Y69-71P 0.1000-86.4833-27400100-2001492.62.60
Y69-86P -1.9833-91.6667-32450100-1801453.03.05
Y71-03-02 7.1720-85.1520-2164090-2502212.42.56
Y71-03-03 7.0500-85.5000-25510200-2502192.42.56
Y71-03-04 5.8020-84.9630-26280140-2001882.42.59
Y71-03-05 5.9200-84.9380-23630140-2001742.42.40
Y71-03-11 -0.2520-83.2850-26560180-2001842.62.66
Y71-03-15 -1.4650-85.6920-26600200-2502192.62.63
Y71-03-18 -1.6350-85.3550-25370180-2201952.62.63
Y71-03-19 -1.5670-85.2570-24040180-2201892.62.42
Y71-03-31 -0.5350-85.6920-28400140-2001692.62.45
Y71-06-12 -16.4430-77.5630-27340200-3002193.53.13
Y71-07-45 -11.0780-110.1030-3096040-60443.53.54
Y71-09-104 -6.0920-107.0770-2988090-1251003.53.56
Y71-09-106 -6.0680-107.1180-3130090-1251013.53.43
Y71-09-115 -6.2580-107.2370-3139090-125963.53.42