Publications

Publications

Publications

Publications

Publications

Publications

Publications

Publications

Physiological responses to light regime of a Mediterranean lagoon strain of Chaetoceros tenuissimus and a collection strain of Chaetoceros calcitrans

Clément Pereto, Viviana Ligorini, Daniel Grzebyk, Philippe Soudant, Antoine Aiello, Loriane Alonso, Philippe Cecchi, Vanina Pasqualini

Abstract Diatoms play a fundamental ecological role as primary producers in aquatic food webs. Among these, a little number of solitary species of the genus Chaetoceros are of great interest as live food for aquaculture, including major taxa like Chaetoceros calcitrans which have been well studied in terms of growth and essential lipid content. In contrast, the globally distributed species Chaetoceros tenuissimus has not been investigated as a potential live prey for aquaculture. For a preliminary analysis of the effect of culture conditions on growth and biomass content of a new strain of C. tenuissimus (CT16ED, hereafter CTEN) isolated from a Mediterranean lagoon, we first considered the light regime, comparing cultivation under a light–dark (L:D) cycle (12:12 h L:D photoperiod) and under continuous light, which conditions were also applied to a C. calcitrans strain, CCAP1085/3 (CCAL). Both strains had a similar growth rate under continuous light, but growth rate was lower in CTEN than in CCAL under the L:D cycle. Photosynthetic pigments content was higher under the L:D cycle than under continuous light in both strains, and higher pigment content was found in CCAL than in CTEN, indicating different photoacclimation. The lipid content of CTEN did not change markedly with photoperiod or growth phase, unlike CCAL. Both strains had high proportions of essential lipids, particularly n-3 polyunsaturated fatty acids, including EPA and DHA, but these varied less in CTEN than in CCAL. CTEN was richer in DHA (22:6n-3) with a more balanced DHA:EPA ratio. From these results, a potential interest of CTEN for use in aquaculture is discussed, with regard to its nutritional quality (essential lipid content), its growth, and its high-light niche offering possibilities for cultivation in outdoor systems in the Mediterranean area.

(Journal of Applied Phycology, n° 0921-8971, 15/04/2025)

SPE, CNRS, EPOC, EPHE, PSL, UB, INSU - CNRS, CNRS, UMR MARBEC, IRD, IFREMER, CNRS, UM, LEMAR, IRD, IFREMER, UBO EPE, CNRS, CRO

Modélisation de l’effet des phénomènes de bypass sédimentaire sur l’évolution moyen à long terme du trait de côte

Elsa Durand

Sous l’effet des courants induits par les vagues, le sable peut contourner les obstacles rocheux naturels ou artificiels présents sur la plage via un phénomène nommé bypass sédimentaire. Le bypass joue un rôle clé dans l’évolution des plages, notamment les plages en baie délimitées par deux obstacles rocheux qui représentent environ la moitié des plages dans le monde. Pourtant, ce phénomène est souvent mal pris en compte dans les modèles d’évolution du trait de côte, voire absent. L’objectif de cette thèse est ainsi d’étendre le champ d’application du modèle à complexité réduite LX-Shore en y implémentant une paramétrisation du bypass sédimentaire. La nouvelle version du modèle, intégrant l’impact du bypass subaquatique, est testée sur une plage en baie idéalisée soumise à diverses conditions de vagues d’incidence variable. Les résultats montrent que la prise en compte du bypass impacte significativement la forme moyenne de la plage et la variabilité spatiale du trait de côte, notamment en termes de rotation, courbure et maximum d’érosion. Des applications sur des plages réelles présentant des épis rocheux (au Danemark et à Fréjus) ou un ouvrage de défense longitudinal (Lacanau) ont permis d’explorer l’influence du bypass à différentes échelles de temps : à l’échelle évènementielle, à l’échelle annuelle et à l’échelle pluri-décennale, sous l’effet de l’élévation du niveau marin. En intégrant pour la première fois une paramétrisation générique du bypass sédimentaire dans un modèle à complexité réduite, ces travaux contribuent à améliorer la compréhension et la modélisation de l’évolution du trait de côte en présence d’obstacles rocheux, offrant ainsi de nouvelles perspectives en termes de gestion des zones côtières.

(15/04/2025)

EPOC, EPHE, PSL, UB, INSU - CNRS, CNRS

Water quality of spawning grounds constrains the population dynamics of an emblematic diadromous species (Alosa alosa)

Sarah Bancel, Jérôme Cachot, Marion Blaya, William Bouyssonnie, Alexandra Coynel, Nicolas Mazzella, Debora Millan-Navarro, Maud Pierre, Olivier Geffard, Éric Rochard

In this study, the role of water quality has been studied to assess its suitability for the allis shad (Alosa alosa), a diadromous fish for which abundance has drastically declined at the beginning of 2000 and is remaining critically low in the Garonne basin (France). The water quality regarding contamination at spawning grounds and its toxicity for embryos and larvae is one possible explanatory factor for this decline, which has not been investigated. Early life stages of fish are particularly sensitive to environmental conditions, including water contamination, making them useful for environmental monitoring. The ex situ biomonitoring method allows continuous exposure of organisms to river water while controlling for confounding factors such as temperature, oxygen, and photoperiod. Three ex situ exposures of allis shad embryos to the Garonne water were conducted during its spawning season, in spring 2022 and 2023, under optimal temperature and oxygen saturation rate. Survival in the control groups demonstrates the value of the ex situ approach, allowing for the exposure of early life stages in their natural environment. Results indicated a high mortality rate in embryos exposed to the Garonne water compared to control, with mortality occurring during organogenesis, which is a particularly critical period of development. These findings raise concerns about the suitability of the Garonne water for the early development of allis shad and consequently for the population dynamics of this species in the Garonne basin. Moreover, these results confirm previous approaches of risk assessment and experimentations, suggesting that water quality and contamination could have an impact on other fish species.

(Environmental Biology of Fishes. vol. 108, n° 0378-1909, pp. 821 - 834, 12/04/2025)

UR EABX, INRAE, EPOC, EPHE, PSL, UB, INSU - CNRS, CNRS, UMR ISPA, Bordeaux Sciences Agro, INRAE, RiverLy, INRAE

MODELLING SHORELINE DYNAMICS IN COMPLEX MACROTIDAL ENVIRONMENTS USING NEURAL NETWORKS

Gabriel Mingorance, Nadia Sénéchal, Stéphane Bertin, France Floc'H, Serge Suanez, Marissa L. Yates

The aim of this work is to test an artificial intelligence approach with basic hydrodynamic and morphological variables, in order to assess the effectiveness of such methods in modelling complex beach dynamics. A simple feedforward neural network is used to evaluate the impact of selected variables on the prediction of the dynamics of specific shoreline isocontour proxies extracted from beach profiles, and to build a predictive model that could simulate the position of the proxies. The model was trained on datasets from two sites from the French coastal monitoring program DYNALIT, Porsmilin and Vougot beaches, and their profile measurements, water levels and wave measurements over 20 years. These two sites were selected due to differences in their morphology and hydrodynamics, as a means to assess the performance of neural networks over a larger variety of situations. A range of temporalities encompassing 3 days, 7 days, 14 days, and 30 days of selected hydrodynamic and morphological variables were used to study the impact time scales can have on modelled shoreline positions. The shoreline proxies used for Porsmilin and Vougot beaches correspond respectively to the berm and the contact between the dune toe and the upper beach, which can be assessed and followed along each beach profile. The shallow feedforward network included 1 hidden layer and 5 nodes, and was ran 50 times in order to assess the models' performance. The models were generally successful, with a blind shoreline prediction R of 0.88 in Porsmilin and 0.72 in Vougot. This artificial neural network (ANN) approach showed all-around better performance than previous beach equilibrium models, which is very encouraging regarding the prediction of future beach morphodynamics and the use of Machine Learning algorithms therein.

(07/04/2025)

UB, EPOC, EPHE, PSL, UB, INSU - CNRS, CNRS, GEO-OCEAN, UBS, IFREMER, INSU - CNRS, UBO EPE, CNRS, LGO, UBS, IFREMER, UBO EPE, CNRS, LETG - Brest, UBO EPE, UR2, CNRS, LETG, UBO EPE, UR2, CNRS, Nantes Univ - IGARUN, LHSV, EDF R&D, EDF [E.D.F.], ENPC, IP Paris

Regional assessment using public webcams of the role of post-storm recovery in the seasonal variability of beach width

Yann Balouin, Nico Valentini

Understanding the mechanisms and times required for beaches to recover after extreme storms, as well as the effect of these episodic setbacks on long-term coastal erosion trends, is crucial for anticipating changes and implementing effective management strategies. A storm can have significant impacts on the coastline, resulting in retreats of several meters within hours. The natural recovery of the beach in the hours/days following a storm varies greatly between sites, ranging from a few days to several months. In this study, we examine the regional variability in coastal response during winter storms and post-storm recovery, using a beach width indicator obtained through the analysis of public webcam images on event, seasonal, and multi-year time scales. Video-derived shoreline positions were used to calculate weekly average beach widths at 11 sites along the coastline of Occitanie. The analysis demonstrated that storm responses and seasonal trends exhibit significant variability despite similarities in morphologies, and exposure to storm waves. Although post-storm recovery following the major events of 2021 and 2022 was nearly complete and very rapid for most sites, some beaches experienced prolonged recovery periods, requiring several months to return to their initial position. While the results indicated that storm events were sufficiently spaced to allow these beaches to recover, a series of events in autumn 2023 raises questions about this recovery capacity and underscores the potential impact of singular events on medium- and long-term coastal evolution trends.

(. vol. 2, 07/04/2025)

BRGM, UniFE, UM, EPOC, EPHE, PSL, UB, INSU - CNRS, CNRS

Beach morphodynamic response to tropical storms using a spatio-temporal surrogate model. Case study in Martinique

Nico Valentini, Yann Balouin, Clément Bouvier, Déborah Idier, Jérémy Rohmer

Tropical cyclones (TCs), especially intense hurricanes, pose a significant threat to coastal areas due to the destructive forces of storm surges and wind-generated waves. These forces can cause severe coastal erosion and flooding within a few hours. The present study aims to address the limitations of computational cost of morphodynamic models and data scarcity by developing a surrogate model to better address the morphodynamic beach response to storms event. Few studies have focused on developing surrogate models specifically dedicated to temporal coastal beach erosion forecast. A great subset of TC is selected from a synthetic database, considering time-dependent evolution of the oceanographic variables. Secondly, a 2d XBeach model is used to compute the morphological responses to selected storms. Thirdly, we adapt and test an Artificial Neural Network-based surrogate model to mimic XBeach at low computational cost. Results are presented at the study site of Le Carbet Beach, Martinique, Lesser Antilles

(07/04/2025)

BRGM, UniFE, UM, EPOC, EPHE, PSL, UB, INSU - CNRS, CNRS

From fixed to transgressive coastal dunes, the conditions and timing of the transition along the Aquitaine coast, France

Alexandre Nicolae Lerma, Olivier Burvingt, Bruce Ayache, Nicolas Robin, David Rosebery, Bruno Castelle

Today most of the coastal dunes in temperate latitudes, especially in the northern hemisphere, are relatively stable. However, over the last decade, the Gironde coast has experienced substantial dune remobilization following a major marine erosion event. The qualities of the dataset used (continuity in time and space) based on annual airborne LiDAR and Satellite imagery (Sen-tinel-2) allow a detailed description of the morphological change and establish relations with forcing and controlling factors (vegetation cover, geomorphological descriptors). Between 2014 and 2023, about 10 km of the Gi-ronde dunes have switched from fixed dunes to transgressive dunes. The analysis showed that in the vast majority of the cases the dominant process involved was dune front cannibalism. However, there is considerable spatial and temporal variability in the transition to a transgressive dune along the coast, depending on the amount of sediment remobilized and the morphological parameters of the dunes (steepness of the front slope, width).

(07/04/2025)

BRGM, UB, UPVD, ONF, EPOC, EPHE, PSL, UB, INSU - CNRS, CNRS

Modelling Microplastic Dynamics in Estuaries: A Comprehensive Review, Challenges and Recommendations

Betty John Kaimathuruthy, Isabel Jalón-Rojas, Damien Sous

The study of microplastic transport and fate in estuaries poses significant challenges due to the complex, dynamic nature of these ecosystems and the diverse characteristics of microplastics. Process-based numerical models have become indispensable for studying microplastics, complementing observational data by offering insights into transport processes and dispersion trends that are difficult to capture through in-situ measurements alone. Effective model implementations require an accurate representation of the hydrodynamic conditions, relevant transport processes, particle properties, and their dynamic behaviour and interactions with other environmental components. In this paper, we provide a comprehensive review of the different process-based modelling approaches used to study the transport of microplastics in estuaries, including Eulerian Idealized 2DV models, Eulerian Realistic Models, Lagrangian Particle Tracking Models, and Population Balance Equation Models. We detail each approach and analyze previous applications, examining key aspects such as parameterizations, input data, model setups, and validation methods. We assess the strengths and limitations of each approach and provide recommendations, good practices, and future directions to address challenges, improve the accuracy of predictions, and advance modelling strategies, ultimately benefiting the research field.

(Geoscientific Model Development. vol. 18, n° 1991-9603, pp. 7227-7255, 07/04/2025)

EPOC, EPHE, PSL, UB, INSU - CNRS, CNRS, SIAME, UPPA, MIO, IRD, AMU, INSU - CNRS, UTLN, CNRS

Observations and modelling of coastal dune dynamics along the Gironde Coast, France

Olivier Burvingt, Alexandre Nicolae Lerma, Bruno Castelle

Considered as reservoirs of biodiversity, coastal dunes also represent natural barrier against coastal flooding and large source of sediment to mitigate coastal erosion. Dynamics of coastal dunes are forced and controlled by marine, aeolian and biological processes. A better understanding of the interactions between all these processes based on field observations or numerical modelling is crucial to define management strategies that aim to develop the resilience of coastal dune against sea level rise. The analysis of multi-annual topographic data collected along the Gironde coast in SW France show a strong landward migration of the coastal dunes caused by strong wind events and a decrease in vegetation cover. The same data were also used to calibrate and validate a numerical model, AeoLiS, that simulated Aeolian sediment transport. This model showed good performance to reproduce the landward migration of non-vegetated dune.

(07/04/2025)

EPOC, EPHE, PSL, UB, INSU - CNRS, CNRS

Impact of a pulsed light process on phytosanitary products and ecotoxicity of viticultural wastewaters

François Clavero, Jérôme Cachot, Christelle Clérandeau, Laure Sandoval, Fanny Meytraud, Warren Albertin, Gilles De Revel, Rémy Ghidossi, Céline Franc

Pulsed light (PL) treatment of three viticultural wastewaters (WWs) was performed with increasing fluence from 0 to 91 J/cm 2 . The evolution of the concentrations of the pesticides was monitored by High-Performance Liquid Chromatography coupled with tandem Mass Spectrometry (HPLC-MS/MS). PL enabled a significant decrease in concentration of the majority of the pesticides present in the wastewaters (WW): 6 out of 12 pesticides were degraded by 62 to 92 % in WW1, 7 out of 10 by over 80 % in WW2, and the only pesticide observed, fluopicolide, was degraded by 87 % in WW3. Only four pesticides were not significantly affected by PL: ametoctradin, benalaxyl, dimethomorph and tebuconazole. PL treatment was found to be less effective on wastewater than on pesticide-spiked deionised water, likely due to the wastewater matrix components absorbing the radiation. Fifteen of the 36 targeted photoproducts were observed following PL treatment of wastewater. The main potential reactions of the halogenated compounds were dehalogenation or substitution of halogen by hydroxyl groups. A photoproduct and possibly natural metabolite of fenbuconazole (m/z 303) was observed in an untreated sample. Acute toxicity tests were performed on the bacteria A. fischeri. A significant reduction in toxicity was observed in the three tested wastewaters: by a factor of 4.1, 6.5 and 4.3 in WWs 1, 2 and 3 respectively. However, the wastewaters remained highly toxic even after the highest fluence applied, probably due to very high copper concentrations in the three wastewaters, and to the absorbance of the samples reducing the degradation efficiency of the PL. Further studies should focus on adapting PL treatment to wastewater; the first step should be a pilot study performed on a semi-industrial scale. Toxicity analyses should be carried out on various freshwater trophic levels to ensure the harmlessness of the process.

(OENO One. vol. 59, pp. 8346, 03/04/2025)

OENO, UB, INRAE, EPOC, EPHE, PSL, UB, INSU - CNRS, CNRS, UB