1983
DOI: 10.1016/0304-3770(83)90099-2
|View full text |Cite
|
Sign up to set email alerts
|

Patterns of accumulation of selected metals in members of the soft-water macrophyte flora of central Ontario lakes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

1988
1988
2015
2015

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 33 publications
(9 citation statements)
references
References 12 publications
0
8
0
Order By: Relevance
“…Significant positive correlations calculated between concen- Miller et al (1983), lakes receiving high amounts of sewages with heavy metals, Eleocharis acicularis, Eriocaulon septangulare. 5, Pip (1990), Potamogeton richardsoni, P. gramineus, Najas flexilis, Elodea canadensis, Shoal Lake (Canada).…”
Section: Resultsmentioning
confidence: 95%
“…Significant positive correlations calculated between concen- Miller et al (1983), lakes receiving high amounts of sewages with heavy metals, Eleocharis acicularis, Eriocaulon septangulare. 5, Pip (1990), Potamogeton richardsoni, P. gramineus, Najas flexilis, Elodea canadensis, Shoal Lake (Canada).…”
Section: Resultsmentioning
confidence: 95%
“…The submersed and free-floating species accumulated high levels of metals in both their roots and shoots. Metals accumulated in the shoots of E. canadensis and P. natans were derived mostly from direct metal uptake from the water column [31][32][33].…”
Section: Concentration In Water Mg L −1 (A)mentioning
confidence: 99%
“…Previous studies demonstrate that acquatic plants can accumulate heavy metals relative to concentrations in the surrounding water (Miller et al 1983;Heisey & Damman 1982;Kovacs 1978;Dietz 1973) and nutrients from the sediments (Barko & Smart 1981;Carignan & Kalff 1980;Bristow & Whitcombe 1971) but these studies rarely involve more than a limited number of sites in a single geographical area so the generality of these patterns is unestablished. Because the costs of primary investigation are high, the analysis of published data from many locations offers an effective first step in the development of general models.…”
Section: Introductionmentioning
confidence: 97%