| Title |
Lake and watershed influences on the distribution of elemental contaminants in the Rideau Canal System, a UNESCO world heritage site
|
|---|---|
| Published in |
Environmental Science and Pollution Research, April 2015
|
| DOI | 10.1007/s11356-015-4405-y |
| Pubmed ID | |
| Authors |
Shannon S. M. Stuyt, E. Emily V. Chapman, Linda M. Campbell |
| Abstract |
Watershed-specific variables such as sediment particle size distribution, water depth, sedimentation rate, focusing factors, and catchment area to lake area ratio can affect the distribution of trace element contaminants to lakes. The aim of this study was to investigate sources of metals to three headwater lakes and to quantify effects of watershed-specific variables on spatial and temporal trends of trace elements (As, Cd, Co, Cr, Cu, Hg, K, Ni, Pb, Rb, and Zn) in sediments and mercury (Hg) concentrations in fish. Surface sediment and water samples were used to characterize spatial patterns, while sediment cores were collected to portray temporal trends. Historical trends of Hg in northern pike (Esox lucius) were assessed in relation to paleolimnological trends of sediment Hg concentrations. Similarity in timing of sediment peak trace element concentrations for the lakes suggests large-scale, atmospheric sources. The lake with highest catchment area-to-lake area ratio was consistently associated with highest sediment elemental concentrations and displayed significant correlations between increased sediment Hg concentrations and decreased pike tissue concentrations over time. This suggests that catchment area-to-lake area ratio is an important factor influencing the concentration of atmospherically derived contaminants within lake sediments and their transfer through the food web. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 4 | 17% |
| Researcher | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Other | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 7 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 11 | 46% |
| Arts and Humanities | 2 | 8% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 April 2017.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#5,443
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#197,427
of 266,817 outputs
Outputs of similar age from Environmental Science and Pollution Research
#96
of 179 outputs
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