The Influence of Weather Conditions on the Seasonal Plankton Development in a Large and Deep Lake (L. Constance)

Gaedke, Ursula; Ollinger, Dieter; Kirner, Paul; Bäuerle, Erich

doi:10.1007/978-94-011-4966-2_3

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…The mechanisms underlying the proposed relationship between diatom species shifts and temperature are not immediately obvious. Diatoms might reflect climate variability in several different ways: direct temperature effects (Raven & Geider 1988), stratification and mixing (Bradbury 1988; Gaedke et al . 1998), through water quality change (Psenner & Schmidt 1992; Anderson et al .…”

Section: Resultsmentioning

confidence: 99%

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Lake diatom response to recent Arctic warming in Finnish Lapland

Sorvari

Korhola

Thompson

2002

Global Change Biology

263

179

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High‐resolution palaeolimnological data from a number of remote and nonpolluted lakes in Finnish Lapland reveal a distinct change in diatom assemblages. This parallels the post‐19th century Arctic warming detected by examination of long‐term instrumental series, historical records of ice cover and tree‐ring measurements. The change was predominantly from benthos to plankton and affected the overall diatom species richness. A particularly strong relationship was found between spring temperatures and compositional structure of diatoms. The change is irrespective of the lake type and catchment characteristics, and is reflected by several other biological indicators, such as chrysophytes and zooplankton, suggesting that entire lake ecosystems have been affected. No corresponding change in the diatom‐inferred lake‐water pH was observed; hence, atmospheric fallout of acid substances cannot have been the driving force for the observed biological change. The mechanism behind the diatom response is unclear, but it may be related to decreased ice‐cover duration, prolonged growing season and increased thermal stability. We postulate that 19th century Arctic warming, rather than acidic or other anthropogenic deposition, is responsible for the recent ecological changes in these high latitude lakes.

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Section: Resultsmentioning

confidence: 99%

“…1996). The water column stability is known to strongly affect the light, nutrient, oxygen and pH regime that planktonic organisms experience (Tilzer & Schwarz 1976; Gaedke et al . 1998).…”

Section: Resultsmentioning

confidence: 99%

Lake diatom response to recent Arctic warming in Finnish Lapland

Sorvari

Korhola

Thompson

2002

Global Change Biology

263

179

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“…The effect of short‐ and long‐term changes in meteorological conditions on plankton dynamics in aquatic ecosystems has received considerable attention over the past few decades, particularly the effects of changing temperature regimes (Schindler et al. , 1996; Gaedke et al. , 1998; Gerten & Adrian, 2000; Straile & Adrian, 2000), but variations in rainfall patterns can have an equally profound effect on phytoplankton structure and abundance by altering water residence times, nutrient load and organic inputs (Soballe & Threlkeld, 1985; Kimmel, Lind & Paulson, 1990; Watson et al.…”

Section: Introductionmentioning

confidence: 99%

Meteorological influences on algal bloom potential in a nutrient‐rich blackwater river

et al. 2007

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1. The effect of variability in rainfall on the potential for algal blooms was examined for the St Johns River in northeast Florida. Water chemistry and phytoplankton data were collected at selected sites monthly from 1993 through 2003. Information on rainfall and estimates of water turnover rates were used in the analyses of trends in phytoplankton biomass. 2. Major trends in rainfall and runoff within the lower St Johns River catchment over the 10-year study period were marked by both significant drought and flood periods. Autumn and winter rainfall patterns were strongly correlated with the range of Pacific sea surface temperature anomalies associated with El Niñ o events and La Niñ a periods. The effect of these major shifts in rainfall was evident in the strong relationship to replacement rates for water within the lower St Johns River. 3. The eutrophic status of the river was reflected in the high concentrations of nitrogen and phosphorus observed at all sampling sites, with total nitrogen concentrations up to 3100 lg L )1 and total phosphorus concentrations up to 180 lg L )1 . 4. While it is clear that the high phytoplankton biomass and frequent blooms that characterize the freshwater portions of the lower St Johns River are fundamentally based on nutrient status, the expression of that potential was strongly correlated to water replacement rates, as revealed by the inverse relationship between phytoplankton biovolume increase and water turnover rate, with an R 2 of 0.80 for the major bloom season. The sensitivity of algal blooms to rainfall patterns over the 10-year study period suggest that longer-term temporal and spatial shifts in rainfall, such as multi-decadal cycles and the global-warming phenomenon, will also influence the frequency and intensity of algal blooms.

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“…The LC data set comprises long-term, high-frequency time series up to 20 years of abiotic conditions (e.g. light, temperature, mixing intensity, nutrient concentrations), species biomasses, production, and the energy and nutrient flows within the food web [14], [65], [69], [70]. The annually repeated, successional cycle in LC is largely driven by autogenic processes during the growing season from March until November [9], [71], [72].…”

Section: Methodsmentioning

confidence: 99%

“…We define successional progress as the mostly biologically driven changes in ecological interactions during the growing season from spring to autumn when vertical mixing intensity is low [65], [66]. We consider spring until the clear water phase (CWP) as early to intermediate stages of succession, and summer until the end of autumn as the late successional stages.…”

Section: Introductionmentioning

confidence: 99%

Benchmarking Successional Progress in a Quantitative Food Web

Boit

Gaedke

2014

PLoS ONE

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Central to ecology and ecosystem management, succession theory aims to mechanistically explain and predict the assembly and development of ecological communities. Yet processes at lower hierarchical levels, e.g. at the species and functional group level, are rarely mechanistically linked to the under-investigated system-level processes which drive changes in ecosystem properties and functioning and are comparable across ecosystems. As a model system for secondary succession, seasonal plankton succession during the growing season is readily observable and largely driven autogenically. We used a long-term dataset from large, deep Lake Constance comprising biomasses, auto- and heterotrophic production, food quality, functional diversity, and mass-balanced food webs of the energy and nutrient flows between functional guilds of plankton and partly fish. Extracting population- and system-level indices from this dataset, we tested current hypotheses about the directionality of successional progress which are rooted in ecosystem theory, the metabolic theory of ecology, quantitative food web theory, thermodynamics, and information theory. Our results indicate that successional progress in Lake Constance is quantifiable, passing through predictable stages. Mean body mass, functional diversity, predator-prey weight ratios, trophic positions, system residence times of carbon and nutrients, and the complexity of the energy flow patterns increased during succession. In contrast, both the mass-specific metabolic activity and the system export decreased, while the succession rate exhibited a bimodal pattern. The weighted connectance introduced here represents a suitable index for assessing the evenness and interconnectedness of energy flows during succession. Diverging from earlier predictions, ascendency and eco-exergy did not increase during succession. Linking aspects of functional diversity to metabolic theory and food web complexity, we reconcile previously disjoint bodies of ecological theory to form a complete picture of successional progress within a pelagic food web. This comprehensive synthesis may be used as a benchmark for quantifying successional progress in other ecosystems.

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The Influence of Weather Conditions on the Seasonal Plankton Development in a Large and Deep Lake (L. Constance)

Cited by 6 publications

References 8 publications

Lake diatom response to recent Arctic warming in Finnish Lapland

Lake diatom response to recent Arctic warming in Finnish Lapland

Meteorological influences on algal bloom potential in a nutrient‐rich blackwater river

Benchmarking Successional Progress in a Quantitative Food Web

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