Predictive modeling of selenium accumulation in brine shrimp in saline environments
β Scribed by Earl R. Byron; Harry M. Ohlendorf; Aaron Redman; William J. Adams; Brad Marden; Martin Grosell; Marjorie L. Brooks
- Publisher
- Society of Environmental Toxicology and Chemistry
- Year
- 2011
- Tongue
- English
- Weight
- 170 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1551-3777
- DOI
- 10.1002/ieam.179
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Great Salt Lake, Utah, is a large, terminal, hypersaline lake consisting of a northern more saline arm and a southern arm that is less saline. The southern arm supports a seasonally abundant fauna of low diversity consisting of brine shrimp (Artemia franciscana), 7 species of brine flies, and multiple species of algae. Although fish cannot survive in the main body of the lake, the lake is highly productive, and brine shrimp and brine fly populations support large numbers of migratory waterfowl and shorebirds, as well as resident waterfowl, shorebirds, and gulls. Selenium and other trace elements, metals, and nutrients are contaminants of concern for the lake because of their concentrations in municipal and industrial outfalls and runoff from local agriculture and the large urban area of Salt Lake City. As a consequence, the State of Utah recently recommended water quality standards for Se for the southern arm of Great Salt Lake based on exposure and risk to birds. The tissueβbased recommendations (as measured in bird eggs) were based on the understanding that Se toxicity is predominately expressed through dietary exposure, and that the breeding shorebirds, waterfowl, and gulls of the lake are the receptors of most concern. The bird eggβbased recommended standards for Se require a model to link bird egg Se concentrations to their dietary concentrations and water column values. This study analyzes available brine shrimp tissue Se data from a variety of sources, along with waterborne and water particulate (potential brine shrimp diet) Se concentrations, in an attempt to develop a model to predict brine shrimp Se concentrations from the Se concentrations in surrounding water. The model can serve as a tool for linking the tissueβbased water quality standards of a key dietary item to waterborne concentrations. The results were compared to other laboratory and fieldβbased models to predict brine shrimp tissue Se concentrations from ambient water and their diet. No significant relationships were found between brine shrimp and their dietary Se, as measured by seston concentrations. The final linear and piecewise regression models showed significant positive relationships between waterborne and brine shrimp tissue Se concentrations but with a very weak predictive ability for waterborne concentrations <10βΒ΅g/L. Integr Environ Assess Manag 2011;7:478β482. Β© 2011 SETAC
π SIMILAR VOLUMES
Airborne scanning LiDAR systems are used to predict a range of forest attributes. However, the accuracy with which this can be achieved is highly dependent on the sensor configuration and the structural characteristics of the forest examined. As a result, there is a need to understand laser light in
02 Liquid fuels (sources, properties, recovev) to difficulties in analysing the recovered material but also in analysing the original oil in place. Moreover, the incompatibility of crude oil constituents with each other is a continuing issue and the occurrence of suspended organic solids during reco