Pamela S. Haverland

TL;DR: Analytical results indicate that the consensus-based PECs can be used to reliably predict toxicity of sediments on both a regional and national basis and that the different patterns in toxicity may be the result of unique chemical signals associated with individual contaminants in samples.

TL;DR: In this paper, the authors developed sediment effect concentrations (SECs) to classify toxicity data for Great Lake sediment samples tested with Hyalella azteca and Chironomus riparius.

TL;DR: Compared the relative sensitivity of the algae Selenastrum capricornutum and the floating vascular plant Lemna minor to 16 herbicides indicates that neither species is predictively most sensitive, and that a number of species including a dicot species such as Myriophyllum are needed to perform accurate risk assessments of herbicides.

TL;DR: In this paper, the authors describe the composition of benthic invertebrate communities in contaminated sediments and is one in a series of papers describing studies conducted to evaluate sediment toxicity from three AOC's (Buffalo River, NY; Indiana Harbor, IN; Saginaw River, MI), as part of the Assessment and Remediation of Contaminated Sediment (ARCS) program, a number of studies were conducted to determine the nature and extent of sediment contamination in Great Lakes Areas of Concern (AOC).