↓ Skip to main content

Riparian spiders indicate the magnitude and sources of polychlorinated biphenyl contamination at a large contaminated sediment site

Overview of attention for article published in Environmental Toxicology & Chemistry, July 2018
Altmetric Badge

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Riparian spiders indicate the magnitude and sources of polychlorinated biphenyl contamination at a large contaminated sediment site
Published in
Environmental Toxicology & Chemistry, July 2018
DOI 10.1002/etc.4216
Pubmed ID
Authors

David M. Walters, Ryan R. Otter, Johanna M. Kraus, Marc A. Mills

Abstract

We investigated PCB contamination at the Ashtabula River Area of Concern (AOC) following remedial dredging using araneid and tetragnathid spiders. PCB concentrations remain elevated in the AOC compared to reference conditions. Patterns of contamination were strikingly similar between taxa, but were higher in tetragnathids at the most contaminated sites. Spider PCB homolog distributions identified two PCB sources to the AOC. Based on these findings, we recommend situations where these taxa can be used singularly, in concert, or combined into a composite "spider" sample to assess environmental contamination. This article is protected by copyright. All rights reserved.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 25%
Other 3 15%
Student > Bachelor 3 15%
Student > Doctoral Student 3 15%
Student > Ph. D. Student 3 15%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Environmental Science 9 45%
Agricultural and Biological Sciences 2 10%
Engineering 2 10%
Chemistry 2 10%
Social Sciences 1 5%
Other 0 0%
Unknown 4 20%