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Article Reference Les sépultures des XVII-XVIIIèmes siècles fouillées en 1938 à Ngongo Mbata (République Démocratique du Congo) : recrutement et état sanitaire
This article seeks to bring new insights on funerary practices of Ngongo Mbata (17-18th cent. AD), a Kongo Kingdom’s major site. The excavation that took place between 1938 and 1942, has delivered a number of tombs. The skeletal assemblage, curated in the Royal Belgian Institute of Natural Sciences, consists of 38 human skeletons. The bones are badly preserved. With the main aim of conducting the biological profile of Ngongo Mbata’s population (estimation of age, sex and stature). This was completed by a more specific study of dental pathologies and morphological variations to enrich this content. Finally, the studied population was placed in a larger geographical context to shed new light on populations in Central Africa. Despite the bad preservation of skeletons, our study has revealed a high presence of young individuals (less than 30 years old). Besides the dental pathological study has shown, a low frequency of dental carious, dental calculus or periodontal diseases, which seems to indicate a relatively good dental health. Beyond the lifestyles, this research has also revealed different aspects of the funerary practices of Kongo’s society. In the future, isotopic, micro-wear or dental metric variations research, could increase our knowledge and open new perspectives on diet, mobility and geographical origin of this population.
Located in Library / RBINS Staff Publications 2020
Inproceedings Reference Les sondages mécaniques à Hermalle-sous-Argenteau : méthodologie et premiers résultats
Located in Library / RBINS Staff Publications 2017
Article Reference Les squelettes mésolithiques et néolithiques de l'abri des Autours (prov. de Namur, Belgique).
Located in Library / RBINS Staff Publications
Article Reference Les sutures crâniennes ont-elles encore une place dans l’évaluation de l’âge au décès ?
Located in Library / RBINS Staff Publications
Article Reference Les tombes tardo-romaines dans le bassin moyen de la Meuse au travers des découvertes du Tienne del Baticulle à Nismes.
Located in Library / RBINS Staff Publications 2020
Article Reference Les variations postglaciaires des taux de sédimentation dans les basses plaines alluviales niçoises (Alpes-Maritimes). Modalités et paramètres de l’évolution
Located in Library / RBINS Staff Publications
Article Reference Lessons from assembling UCEs: A comparison of common methods and the case of Clavinomia (Halictidae)
Located in Library / RBINS Staff Publications 2024
Article Reference Lessons from the calibration and sensitivity analysis of a fish larval transport model
ABSTRACT: Numerous fish populations show strong year-to-year variations in recruitment. The early life stages play a crucial role in determining recruitment and dispersal patterns. A helpful tool to understand recruitment and dispersal involves simulations with a Lagrangian transport model, which results from the coupling between a hydrodynamic model and an individual-based model. Larval transport models require sound knowledge of the biological processes governing larval dispersal, and they may be highly sensitive to the parameters selected. Various assumptions about larval traits, behaviour and other model parameters can be tested by comparing simulation results with field data to identify the most sensitive parameters and to improve model calibration. This study shows that biological parameterization is more important than inter-annual variability in explaining the year-to-year differences in larval recruitment of common sole in the North Sea and the eastern English Channel. In contrast, year-to-year variability of connectivity leads to higher variability than changes in the biological parameters. The most influential parameters are pelagic larval duration, spawning period and mortality. Calibration over a 12 yr recruitment survey shows that a scenario with low mortality associated with a long larval duration and behaviour involving nycthemeral and tidal migration best reproduces the observations. This research provides insights into factors influencing fish dispersal and recruitment, suggesting a strategy for enhancing the accuracy of models in upcoming studies. The study supports the improvement of larval dispersal modelling by incorporating an easily applicable sensitivity analysis for both calibration and validation. Incorporating sensitivity analyses enhances larval dispersal models, providing performing tools that can contribute to informed fisheries management and understanding of recruitment variability.
Located in Library / RBINS Staff Publications 2024
Article Reference PS document Lessons from the calibration and sensitivity analysis of a fish larval transport model
ABSTRACT: Numerous fish populations show strong year-to-year variations in recruitment. The early life stages play a crucial role in determining recruitment and dispersal patterns. A helpful tool to understand recruitment and dispersal involves simulations with a Lagrangian transport model, which results from the coupling between a hydrodynamic model and an individual-based model. Larval transport models require sound knowledge of the biological processes governing larval dispersal, and they may be highly sensitive to the parameters selected. Various assumptions about larval traits, behaviour and other model parameters can be tested by comparing simulation results with field data to identify the most sensitive parameters and to improve model calibration. This study shows that biological parameterization is more important than inter-annual variability in explaining the year-to-year differences in larval recruitment of common sole in the North Sea and the eastern English Channel. In contrast, year-to-year variability of connectivity leads to higher variability than changes in the biological parameters. The most influential parameters are pelagic larval duration, spawning period and mortality. Calibration over a 12 yr recruitment survey shows that a scenario with low mortality associated with a long larval duration and behaviour involving nycthemeral and tidal migration best reproduces the observations. This research provides insights into factors influencing fish dispersal and recruitment, suggesting a strategy for enhancing the accuracy of models in upcoming studies. The study supports the improvement of larval dispersal modelling by incorporating an easily applicable sensitivity analysis for both calibration and validation. Incorporating sensitivity analyses enhances larval dispersal models, providing performing tools that can contribute to informed fisheries management and understanding of recruitment variability.
Located in Library / RBINS Staff Publications 2024
Article Reference Lessons to learn from ancient asexuals. In: EGEL, D. & D. LANKENAU (Eds.): Recombination and Meiosis
Located in Library / RBINS Staff Publications