Literature DB >> 29438934

Dynamic energy budget models in ecological risk assessment: From principles to applications.

Jan Baas1, Starrlight Augustine2, Gonçalo M Marques3, Jean-Lou Dorne4.   

Abstract

In ecological risk assessment of chemicals, hazard identification and hazard characterisation are most often based on ecotoxicological tests and expressed as summary statistics such as No Observed Effect Concentrations or Lethal Concentration values and No Effect Concentrations. Considerable research is currently ongoing to further improve methodologies to take into account toxico kinetic aspects in toxicological assessments, extrapolations of toxic effects observed on individuals to population effects and combined effects of multiple chemicals effects. In this context, the principles of the Dynamic Energy Budget (DEB), namely the conserved allocation of energy to different life-supporting processes in a wide variety of different species, have been applied successfully to the development of a number of DEB models. DEB models allow the incorporation of effects on growth, reproduction and survival within one consistent framework. This review aims to discuss the principles of the DEB theory together with available DEB models, databases available and applications in ecological risk assessment of chemicals for a wide range of species and taxa. Future perspectives are also discussed with particular emphasis on ongoing research efforts to develop DEB models as open source tools to further support the research and regulatory community to integrate quantitative biology in ecotoxicological risk assessment.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Add-my-Pet; Dynamic energy budget; Ecological risk assessment; Modelling; Population dynamics

Year:  2018        PMID: 29438934     DOI: 10.1016/j.scitotenv.2018.02.058

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Calibration of parameters in Dynamic Energy Budget models using Direct-Search methods.

Authors:  J V Morais; A L Custódio; G M Marques
Journal:  J Math Biol       Date:  2018-12-07       Impact factor: 2.259

2.  In Silico Methods for Environmental Risk Assessment: Principles, Tiered Approaches, Applications, and Future Perspectives.

Authors:  Maria Chiara Astuto; Matteo R Di Nicola; José V Tarazona; A Rortais; Yann Devos; A K Djien Liem; George E N Kass; Maria Bastaki; Reinhilde Schoonjans; Angelo Maggiore; Sandrine Charles; Aude Ratier; Christelle Lopes; Ophelia Gestin; Tobin Robinson; Antony Williams; Nynke Kramer; Edoardo Carnesecchi; Jean-Lou C M Dorne
Journal:  Methods Mol Biol       Date:  2022

3.  A regression-based QSAR-model to predict acute toxicity of aromatic chemicals in tadpoles of the Japanese brown frog (Rana japonica): Calibration, validation, and future developments to support risk assessment of chemicals in amphibians.

Authors:  Andrey A Toropov; Matteo R Di Nicola; Alla P Toropova; Alessandra Roncaglioni; Edoardo Carnesecchi; Nynke I Kramer; Antony J Williams; Manuel E Ortiz-Santaliestra; Emilio Benfenati; Jean-Lou C M Dorne
Journal:  Sci Total Environ       Date:  2022-03-25       Impact factor: 10.753

Review 4.  Current EU research activities on combined exposure to multiple chemicals.

Authors:  Stephanie K Bopp; Robert Barouki; Werner Brack; Silvia Dalla Costa; Jean-Lou C M Dorne; Paula E Drakvik; Michael Faust; Tuomo K Karjalainen; Stylianos Kephalopoulos; Jacob van Klaveren; Marike Kolossa-Gehring; Andreas Kortenkamp; Erik Lebret; Teresa Lettieri; Sofie Nørager; Joëlle Rüegg; Jose V Tarazona; Xenia Trier; Bob van de Water; Jos van Gils; Åke Bergman
Journal:  Environ Int       Date:  2018-08-28       Impact factor: 9.621

Review 5.  Building and Applying Quantitative Adverse Outcome Pathway Models for Chemical Hazard and Risk Assessment.

Authors:  Edward J Perkins; Roman Ashauer; Lyle Burgoon; Rory Conolly; Brigitte Landesmann; Cameron Mackay; Cheryl A Murphy; Nathan Pollesch; James R Wheeler; Anze Zupanic; Stefan Scholz
Journal:  Environ Toxicol Chem       Date:  2019-08-08       Impact factor: 3.742

Review 6.  Synergistic Effects of Climate Change and Marine Pollution: An Overlooked Interaction in Coastal and Estuarine Areas.

Authors:  Henrique Cabral; Vanessa Fonseca; Tânia Sousa; Miguel Costa Leal
Journal:  Int J Environ Res Public Health       Date:  2019-07-31       Impact factor: 3.390

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.