Sm-Nd isotope and Mn/Ca ratios for cleaned Neogloboquadrina pachyderma from ODP Hole 105-647A (Table 1)


Autoria(s): Vance, Derek; Burton, Kevin W
Cobertura

LATITUDE: 53.331300 * LONGITUDE: -45.262000 * DATE/TIME START: 1985-10-15T04:10:00 * DATE/TIME END: 1985-10-23T18:15:00 * MINIMUM DEPTH, sediment/rock: 0.56 m * MAXIMUM DEPTH, sediment/rock: 110.10 m

Data(s)

15/01/1999

Resumo

The neodymium (Nd) isotope composition of ancient seawater is a potentially useful tracer of changes in continental inputs and ocean circulation on timescales of a few ka. Here we present the first Nd isotope record for seawater using sedimentary foraminifera cleaned using standard oxidative-reductive techniques. The data, along with Mn/Ca ratios, suggest that cleaned foraminifera provide a reliable record of Nd in seawater and hold out the prospect of using Nd in foraminifera to examine changes in seawater that accompany glacial-interglacial climatic cycles. The principal potential problem to be overcome with the use of forams as records of trace elements in ancient seawater is their diagenetic Fe-Mn coatings. These contain large amounts of Nd and other trace elements but can be cleaned off using highly reducing reagents. Mn(Ca ratios for the majority of the cleaned sedimentary foraminifera analysed here lie within the range (10-100 µmol/mol) that has yielded success in studies of transition elements in forams. Mass-balance modelling suggests that for residual Mn/Ca ratios <100 µmol/mol, Nd added to the foram in the coating will never shift the measured Nd isotope composition significantly away from the seawater value acquired by the foram test in the water column. Additionally, Nd concentrations measured in cleaned sedimentary foraminifera are comparable with those for a modern sample that has never encountered diagenetic fluids. Finally, core-top planktonic foraminifera for two sites have Nd isotope compositions that are identical to local surface seawater. The data we present here for Labrador Sea forams over the past 2.5 m.y. are interpreted in terms of changes in the seawater isotopic composition. The data show a pronounced shift from epsilon-Nd values of ~-12 to ~-19 in the period 2.5-1.5 Ma. This change is interpreted to result from the initiation of Northern Hemisphere glaciation and the increased derivation of Labrador Sea Nd via ice-rafting from Archaean terranes in central Canada. In combination with stable isotope and foraminiferal relative species abundance data, the new Nd data are consistent with the surface hydrography of the Labrador Sea being dominated by a fluctuating balance between cold, polar waters containing unradiogenic Nd and warm, subtropical waters containing more radiogenic Nd. The major change in Labrador Sea Nd that is observed in the past 2.5 Ma can, on its own, account for the change in the Nd isotope composition of North Atlantic Deep Water over the same time period.

Formato

text/tab-separated-values, 223 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.711374

doi:10.1594/PANGAEA.711374

Idioma(s)

en

Publicador

PANGAEA

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Vance, Derek; Burton, Kevin W (1999): Neodymium isotopes in planktonic foraminifera: a record of the response of continental weathering and ocean circulation rates to climate change. Earth and Planetary Science Letters, 173(4), 365-379, doi:10.1016/S0012-821X(99)00244-7

Palavras-Chave #105-647A; AGE; Calculated; DEPTH, sediment/rock; DRILL; Drilling/drill rig; epsilon-Neodymium; epsilon-Neodymium, standard deviation; ICP-MS, Inductively coupled plasma - mass spectrometry; Joides Resolution; Leg105; Manganese/Calcium ratio; Mass; Mass spectrometer Finnigan MAT 262; Neodymium; Neodymium/Calcium ratio; Neodymium 143/Neodymium 144; Neodymium 143/Neodymium 144, error; North Atlantic Ocean; Ocean Drilling Program; ODP; ODP sample designation; Samarium; Samarium 147/Neodymium 144, standard deviation; Samarium 147/Neodymium 144 ratio; Sample code/label
Tipo

Dataset