Modelling the Chlorophyll a Content of the River Rhine -Interrelation between Riverine Algal Production and Population Biomass of Grazers, Rotifers and the Zebra Mussel,Dreissena polymorpha

Schöl, Andreas; Kirchesch, Volker; Bergfeld, Tanja; Schöll, Franz; Borcherding, Jost; Müller, Dieter G.

doi:10.1002/1522-2632(200205)87:2/3<295::aid-iroh295>3.0.co;2-b

Cited by 55 publications

(40 citation statements)

References 38 publications

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“…In the Rhine River, maximal phytoplankton growth rates occur in spring (Weitere et al 2005), and algae growth is mainly controlled by light availability (Ietswaart et al 1999). Diatoms are responsible for [80% of algal biomass at the Bimmen/Lobith station (Schol et al 2002) and in the Lower Rhine (Weitere et al 2005). Bacteria, flagellates, ciliates, and rotifers contribute only minor proportions to the algal biomass.…”

Section: Discussionmentioning

confidence: 99%

“…Bacteria, flagellates, ciliates, and rotifers contribute only minor proportions to the algal biomass. However, benthic organisms are important for recycling BSi in the Rhine River (Vansteveninck et al 1992;Schol et al 2002; p Significance values of the test statistics * Significant trends on the p level of 5% DSi (1978DSi ( -1989 DSi ( (Fig. 1).…”

Section: Discussionmentioning

confidence: 99%

“…The increasing trend based on regression analysis in DSi concentrations since 1990 for Bimmen/Lobith is displayed Sferratore et al 2005), but the impact of these organisms could not be determined in this study. Ecosystem functioning (Admiraal et al 1994;Schol et al 2002) is likely responsible for a small summer peak in DSi concentrations (indicated by a second decline of DSi).…”

Section: Discussionmentioning

confidence: 99%

“…Those low DSi values were accompanied by a following breakdown of diatom population in June (c.f. Admiraal et al 1994;Schol et al 2002), evidenced by an increase in DSi. Because of 1953Because of 1955Because of 1957Because of 1959Because of 1961Because of 1963Because of 1965Because of 1967Because of 1969Because of 1971Because of 1973Because of 1975Because of 1977Because of 1979Because of 1981Because of 1983Because of 1985Because of 1987Because of 1989Because of 1991Because of 1993Because of 1995Because of 1997Because of 1999 subsample is plotted (best fit).…”

Section: Further Effectsmentioning

confidence: 99%

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Increasing dissolved silica trends in the Rhine River: an effect of recovery from high P loads?

2010

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The development of river dams and further human activities (causing increased nitrogen (N) and phosphorus (P) nutrient loads), are responsible for a decline in dissolved silica concentrations (DSi) in many river systems. Here, the impact of the reduction of N- and P-concentrations on DSi is examined for the Rhine River. During the last decade of the twentieth century, annual average DSi concentrations increased by similar to 70% in the Rhine at Bimmen/Lobith, whereas nitrate (NO3) and phosphate (PO4) concentrations decreased by approximately one third. Accordingly, decadal changes in nutrient elemental ratios shifted the river system from DSi-limitation to P-limitation. Specifically, a seasonal DSi-concentration increase is observed from May to December for the Rhine River (with exception of June). Observed increases in DSi concentration are probably due to improvements in water-basin and land-use management, specifically a reduction in point-source P discharge, leading to P-limiting conditions for diatom growth. Data of the warm season suggest that as the system is moving through the transition from P-excess to P-limitation conditions, P-limitation according to the elemental ratio DSi/total phosphorus (TP) is occurring later than for the ratio DSi/PO4-P. Latter ratio will be buffered around similar to 16:1 during growing season. Reduction of N fertilization is less relevant, as N-limitation with respect to DSi is not achieved, even at the end of the analyzed period, but N-limitation may be reached in the future. Analysis of discharge-DSi relationship supports the hypothesis that DSi increase is affected by increasing P-limitation during the warm period and not only due to hydrological reasons. Results suggest, however, that the influence of hydrological parameters needs to be addressed in research for DSi concentration changes due to changed nutrient loads. Despite an overall increase in water temperature of 3A degrees C over a 50-year period, no correlation with temperature was found for the last two decades of the twentieth century, for which DSi-data were available. In conclusion, in case of eutrophied river systems with excess of P, P-reduction may lead to an increase of DSi concentrations under certain conditions. This in turn is expected to impact not only DSi-sensitive coastal-zone ecosystems impacted by eutrophication but the carbon cycle as well

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Further Effectsmentioning

confidence: 99%

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Increasing dissolved silica trends in the Rhine River: an effect of recovery from high P loads?

2010

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“…In the original WASP5 version, the extinction coefficient K E of light passing through the water column is a constant parameter implemented for each discretized unit of the modelled river. With the communication between TOXI and EUTRO, K E can now vary depending on the chlorophyll-a concentrations Chl-a (µg/l) and phytoplankton biomass Phyto (mg/l) computed in EUTRO and the suspended solids SS (mg/l) calculated in TOXI (equation modified from Schöl et al, 2002): 4 Discussion: model couplin Figure 9 shows a comparative exercise between three different model coupling variants:…”

Section: Toxi To Eutro Interactionsmentioning

confidence: 99%

Integrating water quality models in the High Level Architecture (HLA) environment

2005

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Abstract. HLA (High Level Architecture) is a computer architecture for constructing distributed simulations. It facilitates interoperability among different simulations and simulation types and promotes reuse of simulation software modules. The core of the HLA is the Run-Time Infrastructure (RTI) that provides services to start and stop a simulation execution, to transfer data between interoperating simulations, to control the amount and routing of data that is passed, and to co-ordinate the passage of simulated time among the simulations. The authors are not aware of any HLA applications in the field of water resources management. The development of such a system is underway at the UFZ -Centre for Environmental Research, Germany, in which the simulations of a hydrodynamic model (DYNHYD), eutrophication model (EUTRO) and sediment and micro-pollutant transport model (TOXI) are interlinked and co-ordinated by the HLA RTI environment. This configuration enables extensions such as (i) "cross-model" uncertainty analysis with Monte Carlo Analysis: time synchronisation allows EUTRO and TOXI simulations to be made after each successive simulation time step in DYNHYD, (ii) information transfer from EUTRO to TOXI to compute organic carbon fractions of particulate matter in TOXI, (iii) information transfer from TOXI to EUTRO to compute extinction coefficients in EUTRO and (iv) feedback from water quality simulations to the hydrodynamic modeling.

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Modellierung von biogeochemischen Prozessen in Fließgewässern

Matzinger

Fischer

Schmid³

2004

Handbuch Angewandte Limnologie: Grundlagen - Gewässerbelastung - Restaurierung - Aquatische Ökotoxikologie - Bewertung - Gewäss

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Modelling the Chlorophyll a Content of the River Rhine -Interrelation between Riverine Algal Production and Population Biomass of Grazers, Rotifers and the Zebra Mussel,Dreissena polymorpha

Cited by 55 publications

References 38 publications

Increasing dissolved silica trends in the Rhine River: an effect of recovery from high P loads?

Increasing dissolved silica trends in the Rhine River: an effect of recovery from high P loads?

Integrating water quality models in the High Level Architecture (HLA) environment

Modellierung von biogeochemischen Prozessen in Fließgewässern

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