Vincent Breslin
Project Title: Mercury and Cadmium in the Sediment and Oysters in the Housatonic River Estuary
Bivalve mollusks (mussels and oysters) are used worldwide as indicators of metal pollution and are known to accumulate mercury and cadmium in their tissues. The Housatonic River generates more than one-third of CT’s seed oysters from its public oyster beds. Mercury contaminated sediment in the Housatonic River estuary poses a threat to the commercial oyster industry and quantifying the relationship between sediment and oyster tissue mercury contents is necessary for oyster habitat restoration efforts. Cadmium can be harmful to humans if accumulated in oyster tissue and consumed. Ambient salinity may also influence cadmium contents of oyster tissues in estuaries. This study examines the mercury and cadmium concentration in surface sediment and corresponding oyster tissues in the Housatonic River estuary. The goal of this study will be to test the following hypotheses: (1) sediment mercury and cadmium content will vary in proportion to sediment grain size and organic carbon content (Loss on Ignition); (2) the mercury content in oyster tissue will vary in direct proportion to the sediment mercury content at that location; (3) oyster tissue cadmium contents will vary inversely with ambient salinity in the Housatonic river estuary; and (4) oyster tissue mercury and cadmium contents in lower Housatonic river will, on average, be higher than other regional coastal estuaries.
Student Participants:
Karen Thomas Mary LaVallee
Undergraduate Student Undergraduate Student
Biology and Marine Studies Chemistry and Marine Studies
James Tait
Project Title: Characterization of Nearshore Benthic Habitats
Previous research has helped leverage a $278,000 grant from the U.S. Department of Agriculture entitled Recovering the Economic Viability of the Connecticut Oyster Fishery. Faculty members of the Center for Coastal and Marine Studies along with affiliated faculty at other CSU campuses co-authored the proposal. An important aspect of the proposal is the characterization of the benthic habitat in areas were oysters are currently being raised and in areas that offer the potential for development of new beds. Two primary goals in habitat characterization are 1) is the sedimentary environment conducive to oyster populations, and 2) do the sediments have the potential for sequestering high concentrations of heavy metals that could enter the food chain via oyster bioaccumulation. Generally speaking, oysters prefer sandy bottoms (or accumulations of oyster shells) and heavy metals are preferentially sequestered in muds. Two methods are used in conducting benthic habitat surveys. On is grab sampling from a ship or boat and subsequent grain size analysis using laser diffraction, which allows for rapid analysis of numerous samples. The other is the use of side-scanning sonar and correlation of sonogram reflectivity with physical sediment samples obtained from the same area. Coarse-grained sediments are much more reflective, and fine-grained sediments are more absorbent, of the energy produced by the sonar. This difference is visually portrayed in the side scan record as variations in gray-scale.
Student Participants:
Jeb Stevens Lucien Bouffard
Undergraduate Student Graduate Student
Geography Biology
James Tait
Project Title: Quantifying the Relationship between Metal Concentration, Grain Size, and Sediment Organic Content
Previous research has shown a direct correlation between heavy metal concentration and loss-on-ignition (LOI), a proxy for organic content, in sediment samples. It has also shown an inverse correlation to sediment grain size. It would be valuable to understand the expected relationship between metal concentrations and the two factors listed above so that the role of contaminant sources could be more clearly understood. If sediments in a particular locale are heavily contaminated, is it because of factors such as organic content and grain size, or might it be source proximity and rate of flux? Numerous samples from various locations along the Connecticut coast are being analyzed for metal concentration, LOI, and grain size. This data is to be subjected to multivariate correlation in order to quantify and explore this relationship. If good correlation is found, then outliers might be assumed to be source-related.
Student Participant:
Jeb Stevens
Undergraduate Student
Geography