scholarly journals Calibration of Mg/Ca thermometry in planktonic foraminifera from a sediment trap time series

2003 ◽  
Vol 18 (2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Pallavi Anand ◽  
Henry Elderfield ◽  
Maureen H. Conte
Keyword(s):  
Time Series ◽  
Sediment Trap ◽  
Planktonic Foraminifera

Stable isotopes in modern planktonic foraminifera: Sediment trap and plankton tow results from the South China Sea

2011 ◽  
Vol 79 (1-2) ◽  
pp. 15-23 ◽  
Author(s):  
Hui-Ling Lin ◽  
David Der-Duen Sheu ◽  
Yih Yang ◽  
Wen-Chen Chou ◽  
Guo-Wei Hung
Keyword(s):  
Stable Isotopes ◽  
South China Sea ◽  
South China ◽  
Sediment Trap ◽  
Planktonic Foraminifera ◽  
The South China Sea ◽  
The South ◽  
China Sea

scholarly journals A dynamic global model for planktonic foraminifera

2007 ◽  
Vol 4 (6) ◽  
pp. 4323-4384 ◽  
Author(s):  
I. Fraile ◽  
M. Schulz ◽  
S. Mulitza ◽  
M. Kucera
Keyword(s):  
Sediment Trap ◽  
Mixed Layer Depth ◽  
Planktonic Foraminifera ◽  
Temperature Tolerance ◽  
Biological Information ◽  
Food Type ◽  
Small Scale ◽  
Zooplankton Abundance ◽  
Polar Regions ◽  
White Variety

Abstract. Seasonal changes in the flux of planktonic foraminifera have to be understood to interpret corresponding proxy-based reconstructions. To study the seasonal cycle of planktonic foraminifera species we developed a numerical model of species concentration (PLAFOM). This model is forced with a global hydrographic dataset (e.g. temperature, mixed layer depth) and with biological information taken from an ecosystem model (e.g. "food type", zooplankton abundance) to predict monthly concentrations of the most common planktonic foraminifera species used for proxies: N. pachyderma (sinistral and dextral varieties), G. bulloides, G. ruber (white variety) and G. sacculifer. The sensitivity of each species with respect to temperature (optimal temperature and range of tolerance) is derived from sediment-trap studies. Overall, the spatial distribution patterns of most of the species are comparable to core-top data. N. pachyderma (sin.) is limited to polar regions, N. pachyderma (dex.) and G. bulloides are the most common species in high productivity zones like upwelling areas, while G. ruber and G. sacculifer are more abundant in tropical and subtropical oligotrophic waters. Modeled seasonal variation match well with sediment-trap records in most of the locations for N. pachyderma (sin), N. pachyderma (dex.) and G. bulloides. G. ruber and G. sacculifer show, in general, lower concentrations and less seasonal variability in all sites. The lower variability is reflected in the model output, but the small scale variations are not reproduced by the model in several locations. Due to the fact that the model is forced by climatological data, it can not capture interannual variations. The sensitivity experiments we carried out show that, inside the temperature tolerance range, food availability is the main parameter which controls the abundance of some species. The here presented model represents a powerful tool to explore the response of planktonic foraminifera to different boundary conditions, and to quantify the seasonal bias in foraminifera-based proxy records.

scholarly journals Inorganic Radiocarbon in Time-Series Sediment Trap Samples: Implication of Seasonal Variation of 14C in the Upper Ocean

Radiocarbon ◽  
1996 ◽  
Vol 38 (3) ◽  
pp. 583-595 ◽  
Author(s):  
Makio C. Honda
Keyword(s):  
Time Series ◽  
Bering Sea ◽  
Sediment Trap ◽  
Seasonal Variability ◽  
Sea Of Okhotsk ◽  
Inorganic Carbon ◽  
Dissolved Inorganic Carbon ◽  
Sediment Traps ◽  
Upper Ocean ◽  
The Bering Sea

In order to verify sediment trap samples as indicators of upper ocean 14C concentrations, particulate inorganic radiocarbon (PICΔ14C) collected by time-series sediment traps in the Sea of Okhotsk and the Bering Sea was measured by accelerator mass spectrometry (AMS). All of the PICΔ14C measurements were < 0‰, in contrast to GEOSECS 14C data in the upper ocean from the northwestern North Pacific. This difference is attributed to the upwelling of deepwater that contains low Δ14C of dissolved inorganic carbon (DICΔ14C) and to the decrease over time of surface DICΔ14C owing to the decrease of atmospheric Δ14C values. In addition, PICΔ14C values showed significant seasonal variability: PICΔ14C collected in the fall was the greatest (-22‰ on average), whereas PICΔ14C collected in winter showed an average minimum of −48‰. It is likely that this difference was caused by changes in mixed layer thickness. Although some uncertainties remain, further study on PICΔ14C will enable us to estimate seasonal variability in DICΔ14C and air-sea CO2 exchange rate.

Variations in the composition of particulate organic matter in a time-series sediment trap

1983 ◽  
Vol 13 (3) ◽  
pp. 181-194 ◽  
Author(s):  
Cindy Lee ◽  
Stuart G. Wakeham ◽  
John W. Farrington
Keyword(s):  
Time Series ◽  
Organic Matter ◽  
Particulate Organic Matter ◽  
Sediment Trap
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