Experimental acidification of Little Rock Lake, Wisconsin

Brezonik, Patrick L.; Baker, Lawrence A.; Jw, Eaton; Frost, Thomas M.; Garrison, Paul J.; Kratz, Tim; Magnuson, John J.; Rose, William; Shephard, B. K.; Swenson, Wendell M.; Watras, Carl J.; Webster, Katherine E.

doi:10.1007/bf00630825

Cited by 65 publications

(10 citation statements)

References 5 publications

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“…Little Rock Lake, in northern Wisconsin (Fig. 1B), was the site of a prior whole-lake manipulation (2), and it was still divided into two separate basins by a plastic curtain during the course of the present study.…”

Section: Methodsmentioning

confidence: 99%

“…Basin 27 in Trout Lake is separated from the rest of the lake by a narrow constriction of water, and basin 26, which also displayed differences in BCC, is surrounded by islands. The most extreme instance of withinlake heterogeneity occurred in Little Rock Lake, where basins 10 and 11 were still separated by a plastic curtain from an earlier experiment in which basin 10 had been acidified through addition of sulfuric acid (2). Despite evidence that many features (including pH) of the two basins of Little Rock Lake have converged following the end of that lake's manipulation (9), residual effects of the acidification cannot be ruled out as potential causes of heterogeneity in BCC witnessed in this study.…”

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confidence: 99%

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Within- and between-Lake Variability in the Composition of Bacterioplankton Communities: Investigations Using Multiple Spatial Scales

Yannarell¹,

Triplett

2004

Appl Environ Microbiol

162

150

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This study examined the similarity of epilimnetic bacterial community composition (BCC) across several within-and among-lake spatial scales, and the environmental factors giving rise to similar bacterial communities in different lakes were also explored. Samples were collected from 13 northern and southern Wisconsin lakes representing gradients in lake size, productivity, dissolved organic carbon and humic acid contents, and pH. Hypotheses regarding patchy distribution of bacterial communities in lakes were tested by comparing samples collected from nearby (tens of meters) and distant (hundreds of meters) sampling sites in the same lake. BCC was characterized by using a molecular fingerprinting technique, automated ribosomal intergenic spacer analysis (ARISA). Overall, samples collected at the 10-m, 100-m, and between-lake scales differed by 13, 17, and 75%, respectively. Variation at these last two scales was significant. The development of within-lake variation in BCC appeared to depend on the isolation of water by lake shoreline features such as bays or narrow constrictions. ARISA profiles from northern lakes had fewer peaks and were less similar to each other than were those of the southern lakes, suggesting that regional features do not necessarily lead to the development of similar bacterial communities. Lakes at similar positions on productivity and dissolved organic carbon concentration gradients had similar bacterial communities, and bacterial diversity was positively correlated with lake productivity and water temperature. Factorial studies taking into account these gradients, as well as regional spatial scales, should provide much insight into the nature of aquatic bacterial biogeography.

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Within- and between-Lake Variability in the Composition of Bacterioplankton Communities: Investigations Using Multiple Spatial Scales

Yannarell¹,

Triplett

2004

Appl Environ Microbiol

162

150

View full text Add to dashboard Cite

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“…The two whole-lake experiments are the Cascading Trophic Interactions project in which two lakes were subjected to food web manipulations and a third was maintained as a reference system (Carpenter eta!. 1987), and the Little Rock Lake Experimental Acidification Project in which a lake was separated by a curtain with one basin acidified and the other maintained as a reference system (Brezonik et al 1986, Watras andFrost 1989). Seven additional, nonmanipulated lakes are elements of the North Temperate Lakes Site of the Long-Term Ecological Research (L TER) Program (Magnuson et a!.…”

Section: Randomized Intervention Analysismentioning

confidence: 99%

Randomized Intervention Analysis and the Interpretation of Whole‐Ecosystem Experiments

Carpenter¹,

Frost²,

Heisey³

et al. 1989

Ecology

246

181

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Randomized intervention analysis (RIA) is used to detect changes in a manipulated ecosystem relative to an undisturbed reference system. It requires paired time series of data from both ecosystems before and after manipulation. RIA is not affected by non—normal errors in data. Monte Carlo simulation indicated that, even when serial autocorrelation was substantial, the true P value (i.e., from nonoautocorrelated data) was <.05 when the P value from autocorrelated data was <.01. We applied RIA to data from 12 lakes (3 manipulated and 9 reference ecosystems) over 3 yr. RIA consistently indicated changes after major manipulations and only rarely indicated changes in ecosystems that were not manipulated. Less than 3% of the data sets we analyzed had equivocal results because of serial autocorrelation. RIA appears to be a reliable method for determining whether a nonrandom change has occurred in a manipulated ecosystem. Ecological arguments must be combined with statistical evidence to determine whether the changes demonstrated by RIA can be attributed to a specific ecosystem manipulation.

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“…The accumulation of filamentous green algae in various growth forms (epiphytic, epilithic, as well as metaphytic) is a widespread phenomenon in acidic lakes, having been identified in southern Sweden (Grahn et al, 1984 ;Lazerek, 1980), southern Norway (Hendrey, 1982), the Adirondack Mountains of New York (Hendrey & Vertucci, 1980) and New Hampshire (Roberts & Boyle, 1989), in addition to south-central Ontario (Stokes, 1981(Stokes, , 1984Howell et al 1990). Experimental acidification of stream channels (Hendrey, 1976 ;Parent et al, 1986 ;Griffiths, 1987), limnocorrals (Muller, 1980), small streams (Hall et al, 1980), and whole lakes (Brezonik et al, 1986 ;Turner et al, 1987) have also resulted in increases in biomass of filamentous green algae following treatment .…”

Section: Introductionmentioning

confidence: 99%

Relationship between littoral grazers and metaphytic algae in five softwater lakes

et al. 1991

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The zoobenthos communities within the littoral zones of five low alkalinity, Ontario lakes were examined during summer 1987 . Detached algal clouds or metaphyton, dominated by algae from the family Zygnemataceae, accumulated over the summer in three of these lakes . Previous researchers have hypothesized that diminished grazing pressure due to extirpation of acid sensitive herbivores might enhance the development of metaphytic algae at pHs less than 6 . No overt consistent differences existed among the abundances of small (cladocerans, cyclopoids, ostracods, oligochaetes, dipterans) or medium (amphipods, gastropods, emphemeropterans, trichopterans) grazers in study lakes with or without metaphyton . Notable differences did exist, however, with respect to what we term large grazers . Crayfish, algivorous fish (mostly cyprinids), and to a lesser extent tadpoles, were absent or rare in the three lakes with metaphytic algae but abundant in those without . If a reduction in grazing pressure can be implicated as a factor in enhanced metaphyton development, our correlative results suggest that it is the large grazers, particularly crayfish, that are the most likely candidates .

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Experimental acidification of Little Rock Lake, Wisconsin

Cited by 65 publications

References 5 publications

Within- and between-Lake Variability in the Composition of Bacterioplankton Communities: Investigations Using Multiple Spatial Scales

Within- and between-Lake Variability in the Composition of Bacterioplankton Communities: Investigations Using Multiple Spatial Scales

Randomized Intervention Analysis and the Interpretation of Whole‐Ecosystem Experiments

Relationship between littoral grazers and metaphytic algae in five softwater lakes

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