ArticlePloS one2015
An individual-based model of zebrafish population dynamics accounting for energy dynamics.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- SizeExtractR: A workflow for rapid reproducible extraction of object size metrics from scaled images.Ecology and evolution · 2022Article
- DEB-IBM for predicting climate change and anthropogenic impacts on population dynamics of hairtailConservation physiology · 2022Article
- Lethal and Sublethal Effects of Pyriproxyfen onToxics · 2020Review
- Considerations and Caveats when Applying Global Sensitivity Analysis Methods to Physiologically Based Pharmacokinetic Models.The AAPS journal · 2020Article
- Modelling southern elephant seals Mirounga leonina using an individual-based model coupled with a dynamic energy budget.PloS one · 2018Article
- Using energy budgets to combine ecology and toxicology in a mammalian sentinel species.Scientific reports · 2017Article
- Integrated presentation of ecological risk from multiple stressors.Scientific reports · 2016Article
- Understanding the individual to implement the ecosystem approach to fisheries management.Conservation physiology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Developing population dynamics models for zebrafish is crucial in order to extrapolate from toxicity data measured at the organism level to biological levels relevant to support and enhance ecological risk assessment. To achieve this, a dynamic energy budget for individual zebrafish (DEB model) was coupled to an individual based model of zebrafish population dynamics (IBM model). Next, we fitted the DEB model to new experimental data on zebrafish growth and reproduction thus improving existing models. We further analysed the DEB-model and DEB-IBM using a sensitivity analysis. Finally, the predictions of the DEB-IBM were compared to existing observations on natural zebrafish populations and the predicted population dynamics are realistic. While our zebrafish DEB-IBM model can still be improved by acquiring new experimental data on the most uncertain processes (e.g. survival or feeding), it can already serve to predict the impact of compounds at the population level.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.