Development and validation of an individual based Daphnia magna population model: The influence of crowding on population dynamics

Preuß, Thomas G.; Hammers‐Wirtz, Monika; Hommen, Udo; Rubach, M.N.; Ratte, Hans Toni

doi:10.1016/j.ecolmodel.2008.09.018

Cited by 83 publications

(115 citation statements)

References 52 publications

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“…when validating reproduction in a Daphnia model, one might compare the fraction of animals with eggs, the proportion and the timing of sexually and parthenogenetically reproducing animals, the formation of ephippia and even further parameters [27]. Also, indirect comparisons are possible, for example, a comparison of the age distribution in a model with the age distribution from the field.…”

Section: Parameters For Validationmentioning

confidence: 99%

“…A recent review by Schmokle et al [25] reported that even today only 3% of models are validated using independent data. Examples of model validation can be found in the studies of Wang and Grimm [26] and Preuss et al [27] and Table 1 Examples of how to address uncertainty for different datasets Confidence intervals can be calculated after recreation of the original sample underlying the data, and variability can be estimated based on the data distribution (or calculation of a standard deviation)…”

Section: Realism and Validationmentioning

confidence: 99%

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Population level risk assessment: practical considerations for evaluation of population models from a risk assessor's perspective

Wang¹,

Luttik

2012

Environ Sci Eur

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Population models are increasingly being considered as a tool for pesticide risk assessment in order to evaluate how potential effects act on the population level and population recovery. While the importance and difficulties of such models have been discussed by various authors during the past decade, mainly with a focus on how to describe or develop such models, several biological and methodological aspects have never been addressed so far, which are relevant for the application of models in risk assessment. These include a critical review of our knowledge of a species, the use of field data by taking methodological constraints into account, how to include uncertainty in model validation or how to measure effects. Although these aspects will be critical for the acceptance of population models by authorities, most of them apply not only to population models, but also to standard risk assessment. In the present article, we give practical recommendations for addressing these questions in population level risk assessments.

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Section: Parameters For Validationmentioning

confidence: 99%

Section: Realism and Validationmentioning

confidence: 99%

Population level risk assessment: practical considerations for evaluation of population models from a risk assessor's perspective

Wang¹,

Luttik

2012

Environ Sci Eur

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“…To calculate the ingested carbon, we used a dynamic individual-based model for D. magna (Preuss et al, 2009), which was set to the environmental conditions of each experiment described in Table 1. A dynamic simulation is especially necessary for semi-static conditions, where food availability might be triggered by the ingestion rate of the daphniid and the volume of the beaker.…”

Section: Calculating the Ingested Carbon Per Mother Daphniidmentioning

confidence: 99%

“…Depending on the addressed question, ecological models can, in general, be based on empirical description of processes (Preuss et al, 2009) or on energetic concepts (Kooijman, 2000;Vanoverbeke, 2008). However, an important limitation of these available models is that none of them accounts for the natural variability in the offspring size (OS) in Daphnia magna.…”

Section: Introductionmentioning

confidence: 99%

“…Owing to its essential role in food-web dynamics of freshwater ecosystems and to its importance as a test organism in ecotoxicology, the cladoceran Daphnia magna (Straus) is frequently used in modelling studies to answer diverse questions on the biology and ecology of this organism (Kooijman, 2000;Vanoverbeke, 2008;Preuss et al, 2009), or to elucidate complex mechanisms behind its responses to natural (Gergs et al, 2013) or anthropogenic (Preuss et al, 2010) stressors. Depending on the addressed question, ecological models can, in general, be based on empirical description of processes (Preuss et al, 2009) or on energetic concepts (Kooijman, 2000;Vanoverbeke, 2008).…”

Section: Introductionmentioning

confidence: 99%

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How do interactive maternal traits and environmental factors determine offspring size inDaphnia magna?

Gabsi

Glazier

Hammers‐Wirtz³

et al. 2014

Ann. Limnol. - Int. J. Lim.

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-In this study, we investigated variation in offspring size (OS) of Daphnia magna in relation to multiple maternal traits and environmental variables. Data originated from laboratory experiments conducted at different feeding scenarios. The mother daphnids had different life-history traits and were reared under various feeding and density conditions. OS showed linear relationships with maternal traits, varying positively with maternal body size, age and brood number, and negatively with brood size and with the amount of ingested carbon. OS increased exponentially with crowding. Using stepwise multiple regression analysis, we developed an empirical model for the OS variation with the relevant maternal and environmental variables. Density dependence was considered by multiplying the resulting model by a density-effect function. We found that the ingested carbon and the maternal body size were the strongest determinants of the observed variation in the OS, whereas the brood size had the least impact on OS. Additionally, the brood number had no significant effect in determining the variability in the OS. The validity of the multivariate model was tested against an independent dataset. The model accurately predicted the OS despite several genetic and environmental differences compared with the data used for parameterization.

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Ecological Modeling in Pesticide Risk Assessment: Chances and Challenges

Schmitt¹

2012

Modern Methods in Crop Protection Research

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Development and validation of an individual based Daphnia magna population model: The influence of crowding on population dynamics

Cited by 83 publications

References 52 publications

Population level risk assessment: practical considerations for evaluation of population models from a risk assessor's perspective

Population level risk assessment: practical considerations for evaluation of population models from a risk assessor's perspective

How do interactive maternal traits and environmental factors determine offspring size inDaphnia magna?

Ecological Modeling in Pesticide Risk Assessment: Chances and Challenges

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