1993
DOI: 10.2307/1941797
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Copper Dynamics and the Mechanism of Ecosystem Level Recovery in a Standardized Aquatic Microcosm

Abstract: The Standardized Aquatic Microcosm (SAM) was used to assess the effects and behavior of copper at the ecosystem level. The concentration of algal cells and Daphnia magna, pH, dissolved organic carbon (DOC), and dissolved and ionic copper concentration were measured for 489 d and used to explain the recovery sequence of a community of organisms. The results indicate that a resistant algal species was crucial for initiating the recovery sequence in these microcosms and that the timing of D. magna blooms was vari… Show more

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Cited by 30 publications
(26 citation statements)
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“…This fact renders the present results compatible with the conclusions of other authors (e.g. Sunda & Guillard, 1976;Anderson & Morel, 1978;Verweij et al, 1992;Meador et al, 1993) that copper toxicity is a direct function of free copper. Similarly, the conclusion of Morel (1983) that ionic copper activity provides a measure of the reactivity of the metal in solution, is not inconsistent with the present results.…”
Section: Biological Effectssupporting
confidence: 94%
See 1 more Smart Citation
“…This fact renders the present results compatible with the conclusions of other authors (e.g. Sunda & Guillard, 1976;Anderson & Morel, 1978;Verweij et al, 1992;Meador et al, 1993) that copper toxicity is a direct function of free copper. Similarly, the conclusion of Morel (1983) that ionic copper activity provides a measure of the reactivity of the metal in solution, is not inconsistent with the present results.…”
Section: Biological Effectssupporting
confidence: 94%
“…Although copper toxicity to algae is still considered by some authors to be dependent only on the concentration of the free metal (e.g. Menkissoglu & Lindow, 1991;Morgan & Stumm, 1991;Verweij et al, 1992;Meador et al, 1993), others have pointed out the importance of complexed copper (the labile species) on copper toxicity (e.g. Price et al, I989;Sunda, 1989;Buckley, 1994;Tubbing eta]., 1994).…”
Section: Introductionmentioning
confidence: 99%
“…Per treatment, six microcosms were used, and six additional microcosms served as a control, resulting in 24 microcosms in total. In the treated enclosures, Cu sulfate was added after 7 d, and the densities of the 17 taxa were monitored on 18 sampling occasions (days 4,7,11,14,18,21,25,28,32,35,39,42,46,49,53,56,60, and 63). Abundances were converted to carbon (mg C L À1 ) for subsequent carbon budget calculation (see below under Carbon budget calculation) using organism dimensions that were measured during the microcosm experiment and volume to carbon ratios (Supplemental Data, Tables S1 and S2).…”
Section: Microcosm Experimentsmentioning
confidence: 99%
“…Carbon budgets were initially calculated for all 24 microcosms at 15 different points in time (days 11,14,18,21,25,28,32,35,39,42,46,49,53,56,60), following an earlier methodology [17] by constructing 360 (24 Â 15) linear inverse models (LIMs). Linear inverse modeling allows one mathematically to combine prior knowledge on a set of physiological constraints with site-specific food web topology, taxa densities, and rates of change of these densities to estimate carbon flows between ecosystem components [21,22].…”
Section: Carbon Budget Calculationmentioning
confidence: 99%
“…The use of microcosms in pollution studies has been tried in a number of environments, including wetlands (Johnson, 1986), salt-marshes (O'Neill, Cripe, Mueller, Connolly & Prichard, 1989, soils (Van Beelen, Fleuren-Kemila, Huys, van Montfort & van Vlaardingen, 1991), freshwaters (Meador, Taub, & Sibley, 1992), estuaries (Lauth, Scott, Cherry & Buikema, 1996), and the deep-sea (Gross, 2000). Chapman & Long (1983) pointed out the need for relevant bioassays as part of a broad-based approach in determining the impact of pollutants in the marine sedimentary environment.…”
Section: Introductionmentioning
confidence: 99%