Academic literature on the topic 'Modélisation dynamique des écosystèmes'
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Journal articles on the topic "Modélisation dynamique des écosystèmes"
Messeghem, Karim. "Pour une modélisation de l’écosystème entrepreneurial sous forme de sous-écosystèmes : Apport de l’approche des systèmes complexes adaptatifs." Management international 27, no. 2 (2023): 93–104. http://dx.doi.org/10.59876/a-f3jv-f7y8.
Full textKokou, Kokouvi Bruno. "Dynamique et modélisation du stock de carbone de la Forêt Classée d’Amou-Mono au Togo." Revue Ecosystèmes et Paysages 3, no. 2 (December 30, 2023): 1–16. http://dx.doi.org/10.59384/recopays.tg3211.
Full textYao, Marcel Konan, Djedro Clément Akmel, Kouamé Lazare Akpetou, Albert Trokourey, Kouassi Benjamin Yao, and Nogbou Emmanuel Assidjo. "Modélisation de l'évolution spatiotemporelle du phosphore minéral dans une baie lagunaire hypereutrophe tropicale : la baie lagunaire de Tiagba (Côte d'Ivoire)." Revue des sciences de l’eau 30, no. 3 (March 28, 2018): 247–58. http://dx.doi.org/10.7202/1044250ar.
Full textDaré, William’s, Christine Fourage, and Ibrahima Diop Gaye. "Positionnement des sociologues dans la démarche de modélisation Domino." Nouvelles perspectives en sciences sociales 2, no. 2 (April 16, 2009): 103–26. http://dx.doi.org/10.7202/602461ar.
Full textCourchesne, François, and William H. Hendershot. "La genèse des podzols." Géographie physique et Quaternaire 51, no. 2 (November 30, 2007): 235–50. http://dx.doi.org/10.7202/033121ar.
Full textIMFELD, Gwenaël, Sylvain PAYRAUDEAU, Sabine SAUVAGE, Francis MACARY, Cédric CHAUMONT, Jérémie D. LEBRUN, Anne PROBST, José-Miguel SÁNCHEZ-PÉREZ, Jean-Luc PROBST, and Julien TOURNEBIZE. "Quel est le rôle des retenues collinaires pour limiter les flux de pesticides dans le paysage agricole ?" Sciences Eaux & Territoires, no. 43 (October 9, 2023): 49–56. http://dx.doi.org/10.20870/revue-set.2023.43.7792.
Full textMathian, Hélène, and Léna Sanders. "Modélisation dynamique et SIG." Mappemonde 32, no. 4 (1993): 38–39. http://dx.doi.org/10.3406/mappe.1993.1107.
Full textVerron, Erwan, Gilles Marckmann, and Bernard Peseux. "Modélisation dynamique du thermoformage." Revue Européenne des Éléments Finis 7, no. 1-3 (January 1998): 193–208. http://dx.doi.org/10.1080/12506559.1998.11690474.
Full textDietrich, Gilles. "Modélisation de la réalité : approche dynamique et modélisation." Les Cahiers de l'INSEP 34, no. 1 (2003): 123. http://dx.doi.org/10.3406/insep.2003.1764.
Full textFève, Patrick. "La modélisation macro-économétrique dynamique." Revue d'économie politique 116, no. 2 (2006): 147. http://dx.doi.org/10.3917/redp.162.0147.
Full textDissertations / Theses on the topic "Modélisation dynamique des écosystèmes"
Moulin, Thibault. "Modélisation mathématique de la dynamique des communautés herbacées des écosystèmes prairiaux." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD075/document.
Full textDynamic modelling of ecological systems is an essential method to understand, predict and control thedynamics of semi-natural ecosystems, which involves complex processes. The main objective of this PhDthesis is to develop a simulation model of the medium- and long-term dynamics of the herbaceous vegetationin permanent grasslands, taking into account both biodiversity and productivity. Grasslandecosystems are often hot spots of biodiversity, which contributes to the temporal stability of their services.On an agricultural perspective, this important biodiversity contributes to the forage quality, andbesides, it induces a higher ability of the vegetation cover to resist to different climatic scenarios (globalwarming, heat and drought waves).However, this key aspect of biodiversity is only poorly included in grassland models : often absent ofmodelling or included in a very simple form. Building on those considerations, this PhD work exposes thewriting of a process-based succession model, described by a system of Ordinary Differential Equationsthat simulates the aboveground vegetation dynamics of a temperate grassland. This model implementedthe main ecological factors involved in growth and competition processes of herbaceous species, and couldbe adjust to any level of diversity, by varying the number and the identity of species in the initial plantcommunity. This formalism of mechanistic models allows us to analyse relationships that link diversity,productivity and stability, in response to different climatic conditions and agricultural management.In mathematical grassland models, plant communities may be represented by a various number of statevariables, describing biomass compartments of some dominant species or plant functional types. The sizeof the initial species pool could have consequences on the outcome of the simulated ecosystem dynamicsin terms of grassland productivity, diversity, and stability. This choice could also influence the modelsensitivity to forcing parameters. To address these issues, we developed a method, based on sensitivityanalysis tools, to compare behaviour of alternative versions of the model that only differ by the identityand number of state variables describing the green biomass, here plant species. This method shows aninnovative aspect, by performing this model sensitivity analysis by using multivariate regression trees. Weassessed and compared the sensitivity of each instance of the model to key forcing parameters for climate,soil fertility, and defoliation disturbances. We established that the sensitivity to forcing parameters ofcommunity structure and species evenness differed markedly among alternative models, according tothe diversity level. We show a progressive shift from high importance of soil fertility (fertilisation level,mineralization rate) to high importance of defoliation (mowing frequency, grazing intensity) as the sizeof the species pool increased.These results highlight the need to take into account the role of species diversity to explain the behaviourof grassland models. Besides, to properly take into account those interactions in the grassland cover, theconsidered species pool size considered in the model needs to be high enough. Finally, we compare modelsimulations of the aboveground vegetation to measures from two experimental sites, the mowing grasslandof Oensingen, and the grazing grassland of Laqueuille. Results of these comparison are promising andhighlight the relevance of the choice and the representation of the different ecological processes includedin this mechanistic model.Thus, this PhD work offers a model, perfectly fitting with current needs on grassland modelling, whichcontribute to a better understanding of the herbaceous vegetation dynamics and interactions betweenproductivity, diversity and stability
Hajji, Miled El. "Modélisation et analyse mathématiques pour les écosystèmes microbiens : approche par les systèmes dynamiques." Thesis, Montpellier 2, 2010. http://www.theses.fr/2010MON20117/document.
Full textCette thèse s'adresse au problèmes relié au modélisation mathématique en culture continue et culture batch. Nous proposons et étudions, dans une première étape, des modèles mathématiques de quelques processus biologique en culture continue (Chemostat) permettant d'expliquer et de prévoir la coexistence et la coexistence pratique. Dans une deuxième étape, une série d'expériences de laboratoire sont munies en culture batch, et un modèle mathématique tenant compte du recyclage de substrat est proposé, analysé et validé sur des donnés expérimentales en culture pure et mixte prouvant la validité de la principe d'exclusion compétitive en culture batch
Gandois, Laure. "Dynamique et bilan des Elements Traces Métalliques (ETM) dans des écosystèmes forestiers français. Modélisation, spéciation et charges critiques." Phd thesis, Université Paul Sabatier - Toulouse III, 2009. http://tel.archives-ouvertes.fr/tel-00741901.
Full textGandois, Laure. "Dynamique et bilan des éléments traces métalliques (ETM) dans des écosystèmes forestiers français : modélisation, spéciation et charges critiques." Toulouse 3, 2009. http://thesesups.ups-tlse.fr/810/.
Full textTrace Metals (TM: Cd, Co, Cu, Cr, Ni, Pb, Sb and Zn) are dispersed in the atmosphere due to both natural and anthropogenic processes. Forest ecosystems can receive atmospheric inputs, even if they are located far from direct emission sources. In fact, forest ecosystems are particularly sensitive to atmospheric inputs since forest cover can interact with atmospheric pollution. Forest ecosystems are protected from TM atmospheric inputs through the definition of Critical Loads. TM impact on forest ecosystem is linked to their dynamic at the atmosphere/vegetation and soil/solution interfaces. Indeed, forest cover modifies atmospheric inputs. Moreover, it is through soil solution that TM are available to the biosphere and can reach ground and surface waters. During this work, TM content and speciation were determined in diverse compartments of the ecosystem (open field precipitation, throughfall, soil, soil solution and vegetation) on six forested catchments. TM partitioning between total and extractable content and soil solution, was studied in relation with soil parameters. PH was the most significant parameter for most TM extractability and solubility prediction. Cu and Pb solubility was also greatly influenced by complexation with organic colloids. Atmospheric inputs are moderate and regional differences reveal a stronger atmospheric influence on the North-East of France. Forest cover greatly modifies atmospheric inputs. Some fluxes (Cd, Ni, Cu and Zn) are reduced because of direct assimilation by forest canopy. Other fluxes (Pb, Cr and Sb) are increased following dry deposition accumulation on forest canopy. Elemental budget at the plot scale depend on soil type, TM solubility in soil solution and TM mobility in trees. Critical limits and loads have been evaluated and comparison with current soil solution concentration and atmospheric inputs revealed no exceedance
Haghebaert, Marie. "Outils et méthodes pour la modélisation de la dynamique des écosystèmes microbiens complexes à partir d'observations expérimentales temporelles : application à la dynamique du microbiote intestinal." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASM036.
Full textThis thesis stems from the European project Homo.symbiosus, which investigates the equilibrium transitions of interactions between the host and its intestinal microbiota. To study these transitions, we pursue two directions: the mechanistic modeling of host-microbiota interactions and the analysis of temporal microbial count data.We enriched and simulated a deterministic model of the intestinal crypt using the EDK numerical scheme, particularly studying the impact of different parameters using the Morris Elementary Effects method. This model proved capable of simulating, on one hand, symbiotic and dysbiotic interaction states and, on the other hand, transition scenarios between states of dysbiosis and symbiosis.In parallel, a compartmental ODE model of the colon, inspired by existing studies, was developed and coupled with the crypt model. The thesis contributed to the enhancement of bacterial metabolism modeling and the modeling of innate immunity at the scale of the intestinal mucosa. A numerical exploration allowed us to assess the influence of diet on the steady state of the model and to study the effect of a pathological scenario by mimicking a breach in the epithelial barrier.Furthermore, we developed an approach to analyze microbial data aimed at assessing the deviation of microbial ecosystems undergoing significant environmental disturbances compared to a reference state. This method, based on DMM classification, enables the study of ecosystem equilibrium transitions in cases with few individuals and few time points. Moreover, a curve classification method using the SBM model was applied to investigate the effects of various disturbances on the microbial ecosystem; the results from this study were used to enrich the host-microbiota interaction model
Cosme, Maximilien. "Modélisation qualitative à événements discrets des dynamiques d'écosystèmes." Thesis, Université de Montpellier (2022-….), 2022. http://www.theses.fr/2022UMONG013.
Full textEcosystems unfold over time in response to successive events that modify their components. These events, whether random or not, are the phenomena by which ecosystems assemble and disassemble. Each sequence of states - or trajectory - is a possible history of the ecosystem. Yet, if these events, or their order, had been different, the future state could have been different. However, the order of events, due to the limits of our knowledge, is often uncertain. When this uncertainty is important, it is therefore reasonable to conceive the dynamics of the ecosystem as a set of possible trajectories. If the set of possible trajectories were known, it could be useful to know if a desirable state is attainable, and if so, by which path(s).In this thesis, we propose a modelling approach named EDEN (for Ecological Discrete-Event Networks) to answer this question. It is presented in the form of a formalism whose variables are qualitative and whose values are modified by "if-then" rules representing the events of the ecosystem. These rules are executed one by one, in a non-deterministic way and without any probability. This non-deterministic and non-probabilistic approach has therefore been called possibilistic. The dynamics are then presented in the form of a state-transition graph whose dynamic properties (such as the fact that a species can persist) can be verified.First, a brief history of dynamical modelling in ecosystem ecology is presented, with a particular focus on qualitative modelling approaches, to which EDEN belongs to. Based on the limitations of existing approaches to answer certain questions, we propose the EDEN approach and justify the relevance of its properties with simple examples.Then, the EDEN approach is illustrated on semi-arid ecosystems in East and West Africa in order to know if certain states of interest are reachable (such as the maintenance of vegetation in savanna, or soil fertility in an agroecosystem). To do this, we present and use tools that have not been used much in ecology until now, such as summary graphs and temporal logics. For a given scenario, these tools enable to define (1) the possible transitions between the states of interest, (2) the conditions under which they can occur and (3) the events responsible for these transitions. In East Africa, the EDEN approach was able to determine the long-term effects on vegetation and human activities of reduced/increased surface water availability, indicating a strong indirect influence of the latter on woody vegetation. In West Africa, using EDEN, it was possible to determine the conditions that allowed small-scale producers in southwestern Burkina Faso to develop persistent agropastoralism, as well as the events necessary to achieve such a state.Finally, we discuss the contributions of the EDEN set of models to various fields of ecology, as well as possible improvements and bridges to be built between ecology, systems biology and theoretical computer science
Cazelles, Bernard. "Modélisation d'un écosystème lotique : dynamique du carbone organique dissous et des microorganismes benthiques dans un cours d'eau cours." Lyon 1, 1987. http://www.theses.fr/1987LYO10068.
Full textShin, Yunne. "Interactions trophiques et dynamiques des populations dans les écosystèmes marins exploités : approche par modélisation individus-centrée." Paris 7, 2000. http://www.theses.fr/2000PA077217.
Full textWibawa, Teja Arief. "Modélisation globale et régionale de la dynamique de population du thon obèse de l'océan Indien avec le modèle SEAPODYM." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30149/document.
Full textThe Indonesian tuna fishery has suffered from a management problem due to incomplete and less reliability of tuna data leading to lack of understanding about tuna population dynamics in its region. The government of Indonesia initiated the Infrastructure Development of Space Oceanography (INDESO) programme to support marine resource management and monitoring of the Country. One application concerns the tuna fisheries with a challenging objective of real-time and forecast modeling of three tuna species biomass distributions: bigeye, yellowfin and skipjack. The model used is SEAPODYM (Spatial Ecosystem and Population Dynamics Model). The present thesis is dealing with bigeye tuna only, and had three major objectives: the preparation of a geo-referenced fishing dataset, the production of initial conditions for the regional INDESO model configuration, and the simulation of regional population dynamics. The georeferenced fishing catch and effort dataset of the Indian Ocean bigeye tuna was standardized throughout five procedures: standardization of spatial resolution, conversion and standardization of catch and effort units, raising of geo-referenced catch to nominal catch level, screening and correction of outliers, and detection of major catchability changes over long time series of fishing data. . The standardized geo-referenced catch dataset covers two-third of total nominal catch due to lack of geographic references for several fishing fleets. The regional model was configured along three steps: the parameterization of coarse resolution model over a long historical period, the downscaling and parameterization of operational global configuration, and the downscaling to the operational regional model. The first step provided model parameterization over the Pacific and Indian Ocean for thirty-nine years period at 2° monthly resolution, allowing to establish initial conditions of the population for the second configuration starting in 1998 at resolution 1/4° weekly. This second model configuration required a downscaling method to revise the parameterization and achieve the same solution despite some differences in the physical forcing. This global operational model provided initial conditions of the population and open boundary conditions (OBCs) constraining the fluxes of fish through the regional borders of INDESO model (1/12° daily resolution). The standardized Indian Ocean fishing dataset was used for including fishing mortality and validate the optimization achieved in the Pacific Ocean. Model simulation outputs suggest that bigeye is distributed in higher concentration in the North Indian Ocean (north of 20°S), with an extension through the Mozambique Channel and along an eastward prolongation between 35° and 40°S.. The operational model configurations (global and regional) are using VGPM net primary production and euphotic depth derived from satellite data, and climatological dissolved oxygen monthly maps from the World Ocean Atlas (WOA) as biogeochemical forcings. A regional simulation using the INDESO biogeochemical PISCES model forcing as an alternative to the satellite derived products was tested. The preliminary results show that once the PISCES primary production is scaled to the VGPM mean value, both products provide similar results, suggesting that longer time scale forecast based on the coupled physical biogeochemical model can be proposed
Cauchi, Bernard. "Ecologie bactérienne d'un écosystème marin : Dynamique des communautés bactériennes hétérotrophes, analyse des données et essai de modélisation." Aix-Marseille 2, 1988. http://www.theses.fr/1988AIX2A001.
Full textBooks on the topic "Modélisation dynamique des écosystèmes"
H, Boyd, and Service canadien de la faune., eds. Modélisation et gestion de la population d'oies des neiges. Ottawa, Ont: Service canadien de la faune, 2000.
Find full textHachem, Saeb El. Programmation dynamique linéaire stochastique en vue des applications en modélisation de l'énergie. Grenoble: A.N.R.T, Université Pierre Mendes France (Grenoble II), 1995.
Find full textAttia, Rajà. Stratégies d'acteurs et dynamique de structuration du territoire: Éléments de modélisation de l'organisation industrielle. Grenoble: A.N.R.T, Université Pierre Mendes France (Grenoble II), 2001.
Find full textElhafidi, Miloud. La modélisation dynamique et multidiimensionnelle en économétrie: Application à un cas macro-monétaire marocain. Grenoble: A.N.R.T, Université Pierre Mendes France (Grenoble II), 1988.
Find full textNakkar, Osman. Modélisation Espace d'États de la dynamique des séries temporelles: Traitement automatique des données du marché du cuivre. Grenoble: A.N.R.T. Université Pierre Mendès France Grenoble 2, 1994.
Find full textBaptiste, Hervé. Interaction entre le système de transport et les systèmes de villes: Perspective historique pour une modélisation dynamique spatialisée. Lille: A.N.R.T., Université de Lille III, 2000.
Find full textChery, Jean-Pierre. Modélisation d'un système spatial en zone frontalière Franco-Suisse: Adéquation de la dynamique de système aux problèmes de la différenciation spatiale. Lille: A.N.R.T, Université de Lille III, 1998.
Find full textLenat, Yves. Isolation dynamique: Expérimentation et modélisation. 1986.
Find full textPerrat, Jean-Noël. Contribution à la modélisation de l'entreprise: L'entité entreprise: un système dynamique de médiatisation entre acteurs. 1997.
Find full textDiallo, Ousmane Alpha. Contribution à l'étude de la dynamique des écosystèmes des mares dans le Delta Central du Niger, au Mali. 1999.
Find full textBook chapters on the topic "Modélisation dynamique des écosystèmes"
Andriamanantena, Fenozo Heritiana, Hery Lisy Tiana Ranarijaona, Tahiana Andriaharimalala, Ainazo Herilala Andriamanantena, Zolalaina Andriamanantena, Eric Delaitre, and Jacques Iltis. "Chapitre 27. Dynamique spatio-temporelle d’une méga-mangrove malagasy." In Biodiversité des écosystèmes intertropicaux, 417–27. IRD Éditions, 2022. http://dx.doi.org/10.4000/books.irdeditions.41704.
Full textRatsizafy, Irinah, Rondro Harinisainana Baohanta, Martial Doret Andrianandrasana, Faly Randriatafika, Rivo Andriamaro Rajoharison, Tsoushima E. Razakatiana, Herizo Randriambanona, Robin Duponnois, and Heriniaina Ramanankierana. "Chapitre 41. Dynamique temporelle des champignons endomycorhiziens associés à Mimosa latipinosa Lam. (Fabaceae)." In Biodiversité des écosystèmes intertropicaux, 613–23. IRD Éditions, 2022. http://dx.doi.org/10.4000/books.irdeditions.42117.
Full textKouman, Kouame Jean Marc, Kouassi Bruno Kpangui, and Yao Sadaiou Sabas Barima. "Chapitre 38. Dynamique de la reprise de la végétation dans des parcelles permanentes cultivées." In Biodiversité des écosystèmes intertropicaux, 579–90. IRD Éditions, 2022. http://dx.doi.org/10.4000/books.irdeditions.41964.
Full textRanaivojaona, Sariaka Bianca, Tsaralaza Jorlin Tsiavahananahary, Botovao Auguste Ramiandrisoa, and Hery Lisy Tiana Ranarijaona. "Chapitre 28. Dynamique écologique des mangroves urbaines et péri-urbaines de l’ouest de Madagascar." In Biodiversité des écosystèmes intertropicaux, 429–40. IRD Éditions, 2022. http://dx.doi.org/10.4000/books.irdeditions.41722.
Full text"Dynamique des écosystèmes et préservation de la biodiversité." In Science et développement durable, 154–55. Marseille: IRD Éditions, 2019. http://dx.doi.org/10.4000/12264.
Full textHouphlet, Stéphanie Diane Konan, Adjo Estelle Genevieve Adiko, Djaha Kouame, Jean Kouao Koffi, Arthur Brice Konan-Waidhet, François Munoz, and Constant Yves Adou Yao. "Chapitre 37. Dynamique spatio-temporelle de l’occupation du sol du parc national d’Azagny, Côte d’Ivoire." In Biodiversité des écosystèmes intertropicaux, 565–77. IRD Éditions, 2022. http://dx.doi.org/10.4000/books.irdeditions.41932.
Full textBROC, Daniel. "Comportement dynamique de faisceaux de tubes." In Interactions fluide-structure, 153–90. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9078.ch6.
Full textBiaou, Séverin, Gérard Nounagnon Gouwakinnou, Gbènato Laurent Houessou, Codjo Fiacre Ahononga, Shègoun Eudes Idjigberou, and Ogoubiyi Félix Houeto. "Chapitre 36. Dynamique spatio-temporelle de la forêt classée de l’Alibori-Supérieur et impact sur la biodiversité végétale." In Biodiversité des écosystèmes intertropicaux, 553–64. IRD Éditions, 2022. http://dx.doi.org/10.4000/books.irdeditions.41897.
Full textGiraud, Tatiana. "Dynamique et évolution de la biodiversité et des écosystèmes." In Dynamique et évolution de la biodiversité et des écosystèmes. Collège de France, 2022. http://dx.doi.org/10.4000/books.cdf.14342.
Full textALART, Pierre. "Calcul intensif en mécanique multicontact : de l’élastostatique à la dynamique granulaire." In Modélisation numérique en mécanique fortement non linéaire, 53–85. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9081.ch2.
Full textConference papers on the topic "Modélisation dynamique des écosystèmes"
Niel, E., H. Kadri, and S. Zaïri. "Une co-modélisation pour l’évaluation de la fiabilité dynamique." In Congrès Lambda Mu 19 de Maîtrise des Risques et Sûreté de Fonctionnement, Dijon, 21-23 Octobre 2014. IMdR, 2015. http://dx.doi.org/10.4267/2042/56154.
Full textPopescu, Ana, Raouf Naggar, Frederic Sirois, and Mario Germain. "Modélisation des appareillages Électriques dans une base de connaissances dynamique." In 2008 Canadian Conference on Electrical and Computer Engineering - CCECE. IEEE, 2008. http://dx.doi.org/10.1109/ccece.2008.4564619.
Full textTESSIER, Caroline, H. Jacob VESTED, Bo Brahtz CHRISTENSEN, Evelyne GOUBERT, and Flore SALAÜN. "Modélisation numérique de la dynamique sédimentaire de l’estuaire de la Vilaine." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2012. http://dx.doi.org/10.5150/jngcgc.2012.051-t.
Full textBrenon, Isabelle, and Pierre Le Hir. "Modélisation de la dynamique des sédiments fins dans l'estuaire de la Seine." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 1996. http://dx.doi.org/10.5150/jngcgc.1996.030-b.
Full textBURVINGT, Olivier, Vincent MARIEU, Bruno CASTELLE, and Alexandre NICOLAE LERMA. "Observation et modélisation de la dynamique pluriannuelle des cordons dunaires en Gironde." In Journées Nationales Génie Cotier - Genie Civil, 263–72. Editions Paralia, 2024. http://dx.doi.org/10.5150/jngcgc.2024.028.
Full textDAHMANI, Hocine, Fouzia HOUMA BACHARI, and Cherif AOUDJ. "Modélisation de la dynamique sédimentaire au niveau du port de Cap Djinet, Algérie." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2020. http://dx.doi.org/10.5150/jngcgc.2020.023.
Full textWOUSSEN, Emilie, Nadia SENECHAL, Alexandre NICOLAE LERMA, Hannah POWER, Paula GOMES DA SILVA, and Vincent MARIEU. "Etude de la dynamique du runup par modélisation lors d’un épisode de tempête." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2022. http://dx.doi.org/10.5150/jngcgc.2022.024.
Full textMilcent, F., and T. Prosvirnova. "Optimisation de la maintenance d’une flotte de matériels basée sur une modélisation dynamique." In Congrès Lambda Mu 19 de Maîtrise des Risques et Sûreté de Fonctionnement, Dijon, 21-23 Octobre 2014. IMdR, 2015. http://dx.doi.org/10.4267/2042/56199.
Full textNICOLAE LERMA, Alexandre, Damien DAILLOUX, and François PARIS. "Suivis multifréquences, caractérisation des stocks sédimentaires et modélisation morpho-dynamique d’un environnement littoral mixte." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2020. http://dx.doi.org/10.5150/jngcgc.2020.031.
Full textTHIEBOT, Jérôme, Roland GARNIER, Albert FALQUES, and Sylvain GUILLOU. "Modélisation de l’effet de la direction des vagues sur la dynamique de barres en croissant." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2012. http://dx.doi.org/10.5150/jngcgc.2012.052-t.
Full textReports on the topic "Modélisation dynamique des écosystèmes"
Fernandes, R. A., and L. Sun. Monthly leaf area index of Canada from medium-resolution satellite imagery. Natural Resources Canada/CMSS/Information Management, 2024. https://doi.org/10.4095/pmrkmpbtuy.
Full textCatherine, Hugo. Étude comparative des services nationaux de données de recherche Facteurs de réussite. Ministère de l'enseignement supérieur et de la recherche, January 2021. http://dx.doi.org/10.52949/6.
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