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Ramstack, Joy M.; Fritz, Sherilyn C.; Engstrom, Daniel R.; Heiskary, Steven A.

doi:10.1023/a:1022869205291

Cited by 84 publications

(6 citation statements)

References 25 publications

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“…Cyclotella comensis is generally rare at TP concentrations above ca. 10 µg/L (Hall and Smol 1992;Wunsam, Schmidt, and Klee 1995;Ramstack et al 2003;Werner and Smol 2006;Saros et al 2012;Saros and Anderson 2015). In the present study, the taxon occurred only in one lake with a TP concentration above 10 µg/L (range = 1-17 µg/L, median = 5 µg/L).…”

Section: Discussionsupporting

confidence: 43%

Identification of the ecological preferences of Cyclotella comensis in mountain lakes of the northern European Alps

Ossyssek

Geist

Werner³

et al. 2020

Arctic, Antarctic, and Alpine Research

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Planktic diatom ecology in the mountain lakes of the northern European Alps has only been studied sparsely so far. To fill this knowledge gap, the driving parameters of planktic diatom assemblage composition in the euphotic zones of twenty lakes located between 955 and 2,060 m a.s.l. were assessed. The mean August water temperature, concentration of major ions, total phosphorous, and lake physical parameters explained significant amounts of variation within the diatom assemblages, as identified by redundancy analysis and consecutive backward selection. Cyclotella comensis was the most abundant taxon in these oligotrophic (<17 total phosphorus µg/L), phosphorous (P) limited, stratified study lakes, particularly when the calcium concentration was high (>35 mg/L). The results of generalized linear models and generalized additive models further revealed that August surface temperature, thermocline depth, and nitrate-N positively and significantly influenced C. comensis growth. These results shed light on the interplay between physical and chemical parameters as important drivers of C. comensis abundance in temperate mountain lakes. They may aid in the interpretation of past and the prediction of future climate-driven changes in planktic diatom composition in these lakes.

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Section: Discussionsupporting

confidence: 43%

Identification of the ecological preferences of Cyclotella comensis in mountain lakes of the northern European Alps

Ossyssek

Geist

Werner³

et al. 2020

Arctic, Antarctic, and Alpine Research

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“…Monitoring and analysis of diatoms in lake sediments is a powerful tool to detect recent environmental change, or to place modern water quality conditions in a regional or historical context (Cumming et al, 1992;Ramstack et al, 2003Ramstack et al, , 2004Smol and Douglas, 2007). Diatom monitoring through analysis of lake sediments is a key component of our aquatic resource monitoring at GLKN lakes (Ramstack et al, 2008).…”

Section: Comparison To Paleolimnological Nutrient Reconstructionsmentioning

confidence: 99%

Pairing Modern and Paleolimnological Approaches to Evaluate the Nutrient Status of Lakes in Upper Midwest National Parks

VanderMeulen

Lafrancois

Edlund

et al. 2016

J American Water Resour Assoc

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Understanding what constitutes a reference (background) nutrient condition for lakes is important for National Park Service managers responsible for preserving and protecting aquatic resources. For this study we characterize water quality conditions in 29 lakes across four national parks, and compare their nutrient status to U.S. Environmental Protection Agency (USEPA) nutrient reference criteria and alternative criteria recently proposed by others. Where appropriate we also compare the nutrient status of these 29 lakes to state or tribal nutrient reference criteria or standards. For lakes that exceed reference criteria we investigate physical and chemical patterns, and for a subset of lakes compare modern nutrient conditions to paleolimnological (i.e., diatom‐inferred [DI]) nutrient reconstructions. Many lakes exceeded USEPA nutrient reference criteria, but met alternative less restrictive criteria. Modern nutrient conditions were also largely consistent with DI historic (pre‐1900) nutrient conditions. Lakes exceeding alternative nutrient criteria and with elevated nutrient levels relative to DI historic conditions were mostly small, shallow, and dystrophic; continued attention to their nutrient dynamics and biological response is warranted. Coupling modern and paleolimnological data offer an innovative and scientifically defensible approach to understand long‐term nutrient trends and provide greater context for comparison with reference conditions.

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“…It has 23 bays, 200 km of shoreline, 24 km 2 of littoral area, and a maximum depth of 34 m (MNDNR, 2011). The lake's watershed (319 km 2 ) is typical of the midwestern United States (Ramstack et al, 2003) with an average precipitation rate of 750 mm delivering 12.1 t (2006) of total phosphorus (TP) into the lake through five creeks (MCWD, 2000(MCWD, -2008. The lake has been used as a major local natural resource for centuries, with a rapid increase in use since the 1800s and later in the 1890s when large homes and estates began to replace hotels and resorts (Stein, 1971).…”

Section: Study Sitementioning

confidence: 99%

Three-Dimensional Lake Water Quality Modeling: Sensitivity and Uncertainty Analyses

2013

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Two sensitivity and uncertainty analysis methods are applied to a three-dimensional coupled hydrodynamic-ecological model (ELCOM-CAEDYM) of a morphologically complex lake. The primary goals of the analyses are to increase confidence in the model predictions, identify influential model parameters, quantify the uncertainty of model prediction, and explore the spatial and temporal variabilities of model predictions. The influence of model parameters on four model-predicted variables (model output) and the contributions of each of the model-predicted variables to the total variations in model output are presented. The contributions of predicted water temperature, dissolved oxygen, total phosphorus, and algal biomass contributed 3, 13, 26, and 58% of total model output variance, respectively. The fraction of variance resulting from model parameter uncertainty was calculated by two methods and used for evaluation and ranking of the most influential model parameters. Nine out of the top 10 parameters identified by each method agreed, but their ranks were different. Spatial and temporal changes of model uncertainty were investigated and visualized. Model uncertainty appeared to be concentrated around specific water depths and dates that corresponded to significant storm events. The results suggest that spatial and temporal variations in the predicted water quality variables are sensitive to the hydrodynamics of physical perturbations such as those caused by stream inflows generated by storm events. The sensitivity and uncertainty analyses identified the mineralization of dissolved organic carbon, sediment phosphorus release rate, algal metabolic loss rate, internal phosphorus concentration, and phosphorus uptake rate as the most influential model parameters.

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Untitled

Cited by 84 publications

References 25 publications

Identification of the ecological preferences of Cyclotella comensis in mountain lakes of the northern European Alps

Identification of the ecological preferences of Cyclotella comensis in mountain lakes of the northern European Alps

Pairing Modern and Paleolimnological Approaches to Evaluate the Nutrient Status of Lakes in Upper Midwest National Parks

Three-Dimensional Lake Water Quality Modeling: Sensitivity and Uncertainty Analyses

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