Calibration, validation and sensitivity analysis of an ecosystem model applied to artificial streams

Sourisseau, Sandrine; Bassères, Anne; Périé, Frédéric; Caquet, Thierry

doi:10.1016/j.watres.2007.08.039

Cited by 45 publications

(21 citation statements)

References 35 publications

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“…van Nes et al (2002) showed ≤20% sensitivity for all selected parameters within PISCATOR, a multi-species individual-based fish model. PCB concentration in bass was most sensitive to optimal temperature, which is consistent with Sourisseau et al (2008), who showed that predators' highest sensitivity in an AQUA-TOX application for two artificial streams was also optimum temperature. Model users should be aware of the potentially high sensitivity of higher trophic groups.…”

Section: Discussionsupporting

confidence: 87%

“…Based on the high sensitivity of fish PCB concentration to maximum consumption, respiration, half-saturation parameters, it appears to be a property of the model that the feeding parameters are "balanced" to predict a stable biomass for fish and invertebrates. Both this study and Sourisseau et al (2008) found that the highest sensitivities for algae in AQUATOX were saturating light, optimum temperature, and maximum photosynthetic rate.…”

Section: Discussionmentioning

confidence: 53%

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Foodweb modeling for polychlorinated biphenyls (PCBs) in the Twelvemile Creek Arm of Lake Hartwell, South Carolina, USA

Rashleigh

Barber

Walters

2009

Ecological Modelling

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 53%

Foodweb modeling for polychlorinated biphenyls (PCBs) in the Twelvemile Creek Arm of Lake Hartwell, South Carolina, USA

Rashleigh

Barber

Walters

2009

Ecological Modelling

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“…The value of NS can be negative or positive, with a maximum absolute value of 1. A positive value indicates that the simulated values describe the trend of the measured data better than the mean of the observation values, while a negative value indicates that the corresponding model output is dissimilar to the behavior of the studied system (Sourisseau et al 2007;Arabi et al 2007). Obviously, a higher NS value (close to 1) means a better fit of the predicted hydrograph to the observed one.…”

Section: Model Calibration and Validationmentioning

confidence: 99%

GIS-based urban rainfall-runoff modeling using an automatic catchment-discretization approach: a case study in Macau

et al. 2009

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Rainfall-runoff models play an important role in urban water resource management. The storm water management model (SWMM) developed by the US Environmental Protection Agency (EPA) is a widely used dynamic rainfall-runoff model for analyzing quantity and quality problems associated with urban drainage systems. In an ideal situation, the SWMM model would be designed and analyzed using a collection of catchment modeling systems. Traditionally, catchment discretization for rainfall-runoff modeling is performed manually on watershed maps, a time-consuming job with less-than-accurate results. An alternative approach to catchment discretization based on geographic information system (GIS) is proposed in this paper. The automatic discretization approach was successfully applied to rainfall-runoff modeling in Macau using a SWMM model. The results showed that the proposed approach outperformed the conventional catchmentdiscretization method in terms of producing meaningful parameters and avoiding most of the tedious preliminary tasks.

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“…Only the complex food web (i.e. ecosystem) models of river ecosystems include multiple species of flora and fauna [29,30], but these remain difficult to parameterise [31].…”

Section: Introductionmentioning

confidence: 99%

Modelling Primary Producer Interaction and Composition: an Example of a UK Lowland River

Lázár

Wade

Moss

2015

Environ Model Assess

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Nutrient enrichment and drought conditions are major threats to lowland rivers causing ecosystem degradation and composition changes in plant communities. The controls on primary producer composition in chalk rivers are investigated using a new model and existing data from the River Frome (UK) to explore abiotic and biotic interactions. The growth and interaction of four primary producer functional groups (suspended algae, macrophytes, epiphytes, sediment biofilm) were successfully linked with flow, nutrients (N, P), light and water temperature such that the modelled biomass dynamics of the four groups matched that of the observed. Simulated growth of suspended algae was limited mainly by the residence time of the river rather than in-stream phosphorus concentrations. The simulated growth of the fixed vegetation (macrophytes, epiphytes, sediment biofilm) was overwhelmingly controlled by incoming solar radiation and light attenuation in the water column. Nutrients and grazing have little control when compared to the other physical controls in the simulations. A number of environmental threshold values were identified in the model simulations for the different producer types. The simulation results highlighted the importance of the pelagic-benthic interactions within the River Frome and indicated that process interaction defined the behaviour of the primary producers, rather than a single, dominant driver. The model simulations pose interesting questions to be considered in the next iteration of field-and laboratorybased studies.

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Calibration, validation and sensitivity analysis of an ecosystem model applied to artificial streams

Cited by 45 publications

References 35 publications

Foodweb modeling for polychlorinated biphenyls (PCBs) in the Twelvemile Creek Arm of Lake Hartwell, South Carolina, USA

Foodweb modeling for polychlorinated biphenyls (PCBs) in the Twelvemile Creek Arm of Lake Hartwell, South Carolina, USA

GIS-based urban rainfall-runoff modeling using an automatic catchment-discretization approach: a case study in Macau

Modelling Primary Producer Interaction and Composition: an Example of a UK Lowland River

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