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Sandrine CHARLES
Professeur des Universités
12
Documents
Affiliations actuelles
- 194495
- 10025
- 543541
Identifiants chercheurs
sandrine-charles-
0000-0003-4604-0166
- Google Scholar : https://scholar.google.com/citations?user=QiapAvIAAAAJ&hl=en
- IdRef : 09293692X
Présentation
My research activities focus on quantitative risk assessment in ecotoxicology. This involves developing methods and tools to identify potentially harmful substances, defining acceptable concentration thresholds at different levels of biological organization, creating environmental quality indicators, and characterizing the causal links between toxicity and ecological impact. To tackle the issue of environmental protection, two research lines are being conducted simultaneously. Firstly, a priori risk assessment is being carried out to comprehend how contaminants affect individual life-history traits such as survival, growth, and reproduction. This information is then extrapolated to population and community levels. Secondly, a posteriori diagnosis is being conducted to evaluate the quality of natural environments and their effects on indigenous populations. Employing an interdisciplinary and integrated approach, along with the development of mathematical and statistical models for predictive purposes, the aim is to answer the key question of the change of scale. This refers to the link between the scale of observation of effects and that of the levels of biological organisation to be protected, such as the individual, population, community, and ecosystem.
Methods and tools used to achieve this are: mechanistic effect modelling, dynamical systems, population dynamics models, Bayesian inference, and sensitivity analyses.
Domaines de recherche
Ecotoxicologie
Ecosystèmes
Environnement et Société
Statistiques [math.ST]
Modélisation et simulation
Compétences
Publications
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Matrix population models as relevant modeling tools in ecotoxicologyEcotoxicology Modeling, Emerging Topics in Ecotoxicology: Principles, Approaches and Perspectives 2, Springer Science, pp.261-298, 2009
Chapitre d'ouvrage
hal-02592300v1
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