Chemistry of interstitial waters of ODP Site 166-718

Preliminary data are presented on dissolved heavy metals in interstitial water samples collected at Site 718 of Ocean Drilling Program Leg 118. The heavy metals at this site are divided into three groups: Group I (B, K, Mn, Ni, Pb, total Si, total P, V) behaves like Mg, which decrease with depth; Group II (Ba, Cu, Sr, Ti) behaves like Ca, which increases with depth; and Group 111 (Cd, Co, Cr, Fe, Na, Mo, Zn) contains metals that are independent of depth. Mg decreases with depth from 50 mM at the seafloor to 21 mM at 900 mbsf. Mn in the sulfate reduction zone (1.0 to 2.8 ppm) is more highly concentrated than in the methane fermentation zone (0.23 to 0.50 ppm), except for Section 116-718-1H-1. A similar behavior is also observed for V and Pb. Ni, B, and K decrease non-uniformly with depth. Ca and Sr increase with depth at the same rates, indicating the dissolution of inorganic calcium carbonate by anaerobic oxidation of organic matter (Sayles, 1981, doi:10.1016/0016-7037(81)90132-0). The distribution of Ba with depth is very similar to those of Ca and Sr. Cu and Ti profiles trend to increase non-uniformly with depth. Fe is constant with depth. The sharp decrease in total silicate concentration at the seafloor probably indicates a decrease in the decomposition of siliceous biological matter (e.g., diatoms) and production of opal. The constant levels of Group 111, except for Na and Fe, may reveal equal sources of supply from surface seawater and the Himalayas over time.

Chemical composition of sediments from the Indian Ocean

Intensive reduction processes within bottom sediments from the Bay of Bengal lead to marked enrichment of the oxidized layer in iron and manganese. This is not observed in sediments from the Arabian Sea. Oxidized bottom sediments in central areas of the Indian Ocean show high iron concentrations, but fraction of reactive Fe in total Fe is lower. Manganese concentration increases steadily with distance from the shore to the pelagic region of the ocean, and fraction of reactive manganese also increases in the same direction. There is close correlation between total Mn and Mn(4+) in these sediments.

Time series of ZOOSCAN images and results of zooplankton samples at Villefranche from 1966 to 2003

ZooScan with ZooProcess and Plankton Identifier (PkID) software is an integrated analysis system for acquisition and classification of digital zooplankton images from preserved zooplankton samples. Zooplankton samples are digitized by the ZooScan and processed by ZooProcess and PkID in order to detect, enumerate, measure and classify the digitized objects. Here we present a semi-automatic approach that entails automated classification of images followed by manual validation, which allows rapid and accurate classification of zooplankton and abiotic objects. We demonstrate this approach with a biweekly zooplankton time series from the Bay of Villefranche-sur-mer, France. The classification approach proposed here provides a practical compromise between a fully automatic method with varying degrees of bias and a manual but accurate classification of zooplankton. We also evaluate the appropriate number of images to include in digital learning sets and compare the accuracy of six classification algorithms. We evaluate the accuracy of the ZooScan for automated measurements of body size and present relationships between machine measures of size and C and N content of selected zooplankton taxa. We demonstrate that the ZooScan system can produce useful measures of zooplankton abundance, biomass and size spectra, for a variety of ecological studies.