Les théories évolutives du vieillissement et la théorie du «disposable soma» en particulier ont été la base théorique d'une avance récente de recherche sur le vieillissement animal. Pourtant, leur hypothèse centrale sur la physiologie de l'entretien et de la réparation cellulaires n'a pas été testée empiriquement. Dans cette thèse, j'ai analysé la physiologie du vieillissement de Escherichia coli sous restriction de carbone, en tant que système modèle pour valider empiriquement les théories évolutives du vieillissement. Les outils microfluidiques sont utilisés pour isoler de larges populations de cellules isolées de E. coli et pour obtenir une restriction carbonée homogène. Malgré le partage de la même génétique et des conditions environnementales, les cellules individuelles de la population présentent des variations significatives de la durée de vie et de cause de décès. Les distributions de durée de vie présentent des caractéristiques typiques du processus de vieillissement, souvent observées en études démographiques animales et humaines. Le taux de vieillissement peut être modifié par des mutations de la réponse générale au stress. Comme la longévité induite par la restriction calorique, la réponse générale au stress prolonge la durée de vie d'E.coli en atténuant l'effet du vieillissement au détriment des besoins immédiats des cellules. Un modèle quantitatif de ce compromis physiologique est construit et correctement prédit des observations expérimentales. En conclusion, je confirme la théorie du «disposable soma» du vieillissement avec les détails physiologiques du vieillissement de E.coli en famine. / The evolutionary theories of aging and the disposable soma theory in particular, have been the theoretical basis for a recent surge of animal aging research. Yet their central assumption about the physiology of cellular maintenance and repair has not been empirically tested. In this thesis, I analysed the physiology of E.coli aging under carbon starvation, as a model system to empirically validate evolutionary theories of aging. Microfluidic tools are used to isolate large populations of isogenic single E.coli cells, and to achieve homogenous carbon starvation. Despite sharing the same genetical background and environmental conditions, individual cells in the population exhibit significant variations in lifespans and causes of death. Distributions of lifespans exhibit typical features of the aging process, often seen in animal and human demographic studies. The rate of aging can be altered by mutations of the general stress response pathway. Resembling caloric restriction induced longevity, the general stress response pathway extends starvation lifespans of E.coli by attenuating the effect of aging at the expense of immediate needs of the cells. A quantitative model of this physiological trade-off is constructed and correctly predicted experimental observations. As a conclusion, I substantiate the disposable soma theory of aging with the physiological details of E.coli aging in starvation.

No description available.

Les prairies de montagne offrent de nombreux services ecosystémiques qui sont menacés par le changement global. Les traits fonctionnels constituent un outil prometteur pour caractériser les réponses des communautés à des changements de conditions environnementales et leurs répercussions sur les services associés. Cependant, des résulats de plus en plus nombreuses soulignent l’importance de la variabilité intra-spécifique des traits a également été mise en évidence. Pour étudier ces effets, je propose un nouveau modèle à base d’agents, MountGrass, qui combine la modélisation de communautés végétales riches en espèces avec des processus de plasticité phénotypique. Ces deux éléments au coeur du modèle sont associés grâce à des compromis d’allocation basés sur des patrons empiriques établis de stratégies d’utilisation des resources.Avec MountGrass, j’ai exploré l’impact de la plasticité phénotypique sur la croissance individuelle et les propriétés principales des communautés prairiales. À l’échelle individuelle, le modèle paramétré a révélé un fort impact positif de la plasticité phénotypique sur la croissance mais aussi sur la niche fondamentaledes espèces. Des phénomènes de convergence et de réduction de la sensibilité aux variations de conditionsexpliquent ces effets. À l’échelle des communautés, les simulations ont confirmé de forts effets de la plasticité sur la structure des communautés et leur diversité spécifique. Ces effets sont expliqués par l’effet combiné de la réduction du filtre abiotique et de la réduction des différences de compétitivité. Cependant, aucun effet majeur sur la stratégie dominante ou la productivité n’a pu être mis en évidence.Des implémentations alternatives ou des extensions du modèle devraient permettre de tester la robustesse des résultats obtenus et d’analyser d’autres schémas de dynamiques des communautés. En conclusion, ce travail ouvre la voie à une meilleure considération et une meilleure compréhension du rôle des variabilités intra-spécifiques dans les dynamiques des communautés végétales. / Mountain grasslands provide numerous ecosystem services that are likely to be impacted by global change. Plant functional traits hold great promise to succinctly characterise plant community response to changing environmental conditions and its effect on associated services; with growing evidence of the importance of intra-specific trait variability. I propose here a novel agent-based model, MountGrass, that combines the modelling of species rich grassland communities with phenotypic plasticity. These two key components are integrated via allocation trade-offs based on established empirical patterns of strategic differentiation in resource-use.With MountGrass, I explored the impact of phenotypic plasticity on individual plant growth and on main properties of grassland communities. At the individual level, the parametrised model revealed a strong impact of plasticity on growth and species’ fundamental niches, with potentially large impacts on community properties. These effects are explained by the convergence of species’ strategies and the reduction of the sensitivity to variable conditions. At the community level, simulations confirmed the strong effect of plastic allocation on community structure and species richness. These effects are driven by the cumulative effect of a reduction of both abiotic filtering and fitness differences between species. However, no clear effect on the dominant strategy or productivity could be detected.Going further, the robustness of these findings and other patterns of community dynamics should be analysed with alternative or extended implementations of MountGrass. In sum, this work opens a door towards a better integration and understanding of the role of the intra-specific variability in complex plant community dynamics.

In Valencia region (SE Spain), many post-fire communities are dominated by non-resprouting (seeder) species, because of the long history of land exploitation and subsequent abandonment during the last half of 20th century. These communities accumulate fine dry biomass and, therefore, can burn again easily. In fact, Mediterranean forests are suffering from an increase in wildfire frequency since the early 1970s. Wildfires shape the composition and functioning of Mediterranean ecosystems, but we do not know how these ecosystems respond to both the higher fire recurrence and shorter recovery times expected for future climatic scenarios. In this sense, Aleppo pine forest (Pinus halepensis) is one of the most fire affected vegetation of this type in the Mediterranean Basin and to know how it respond to fire is fundamental to design management plans. After fire, regeneration of this forest can be highly variable, and it can go from extremely dense tree stands (overstocked pine) to treeless shrublands dominated by seeder species. All these regenerated stands are fire prone with limited ability to deliver multiple ecosystem services. Although several management techniques are applied to redirect these post-fire ecosystems towards less vulnerable and more functional communities, we do not know yet which amongst them could serve to foster more diverse and multifunctional landscapes. Therefore, the general objective of this thesis is to investigate the functioning of these Mediterranean ecosystems as consequence of shifts in fire regime and forest management application, using different techniques, in different post-fire regenerated ecosystems (overstocked pine forests and dense shrublands). To do so, we calculate, within Mediterranean Pinus halepensis forests affected by wildfires, the supply of multiple ecosystem services (biodiversity conservation, carbon sequestration, disturbance regulation, food production, supporting services, and multifunctionality), through up to 25 aboveground and belowground attributes. Our main findings are (1) High fire recurrence and time since last fire interacted to determine ecosystem services but did not affect their synergies and trade-offs between them. Their combined effects reduced carbon sequestration and multifunctionality. Disturbance regulation diminished drastically with the first fire, with no effect of further fires. However, their effects dampened, and even became positive, for biodiversity conservation and food production services if provided enough time to recover. (2) Thinning in overstocked pine stands enhances ecosystem attributes associated with biodiversity conservation without compromising the provision of carbon sequestration. After 10 years, two levels of thinning, (600 and 1200 trees·ha-1), similarly affected ecosystem attributes, which suggest that 1200 trees·ha-1 suffice to enhance individual ecosystem attributes. (3) Clearing within dense shrubland dominated by seeder species enhances ecosystem attributes associated with biodiversity conservation without compromising the capacity of ecosystem to sequester carbon. (4) Plantation of resprouting species combined with thinning and clearing, in overstocked pine forests and dense shrublands respectively, can enhance the provision of ecosystem services of disturbance regulation, food production and ecosystem multifunctionality. (5) Prescribed burning reduces the amount of dead fuel, increases biodiversity conservation, and improves food production. However, these effects become negative, in addition to the decline in disturbance regulation and multifunctionality, if prescribed burning is applied frequently. (6) Combining different management activities can enhance the supply of multiple ecosystem services simultaneously by reducing the trade-offs in between them and therefore, establish multifunctional Mediterranean landscapes.

Cette thèse avait pour objectif principal d'approfondir nos connaissances sur l'écologie des différents types de milieux humides lacustres afin d'optimiser leur conservation. Pour ce faire, j’ai étudié la résilience, les fonctions et les services écologiques (FSE), ainsi que la biodiversité de trois types de milieux humides lacustres. Ces milieux humides sont riverains au lac Papineau, qui est situé dans la réserve naturelle de Kenauk Nature, entre les Laurentides et l’Outaouais. Cette thèse combine des approches globales, multifonctionnelles et ciblées, axées sur la conservation des milieux humides et de leur biodiversité. Dans mon premier chapitre, j'ai d’abord identifié les déterminants écologiques de la typologie des trois types de milieux humides étudiés : des tourbières, des aulnaies (marécages arbustifs) et des frênaies (marécages arborescents). À l’aide de données récoltées sur le terrain et de données cartographiques, j'ai quantifié 12 prédicteurs hydrogéomorphologiques (HGM) et j'ai pu identifier la pente et l'élévation comme étant les déterminants écologiques les plus importants. Mes résultats ont également apporté des nuances supplémentaires quant aux variables associées à chaque type de milieu humide. En utilisant ces 12 prédicteurs HGM, j'ai créé un modèle de forêts d’arbres décisionnels capable de prédire à la fois la présence des milieux humides lacustres et leur typologie. Ce modèle a permis de prédire avec une précision de 89 % la typologie des sites étudiés, ce qui en fait un outil intéressant pour étudier la répartition des milieux humides riverains à d'autres lacs. J'ai également utilisé ce modèle pour simuler différents scénarios de changements du niveau d'eau, mettant en évidence la résilience des tourbières et des aulnaies, ainsi que la vulnérabilité des frênaies, aux changements globaux. Dans mon second chapitre, j'ai quantifié huit FSE à l'aide de 25 indicateurs différents, dont 15 ont été quantifiés à partir de données terrain. J'ai ensuite développé une approche multifonctionnelle permettant d'étudier simultanément toutes les interactions de synergies et de compromis entre les indicateurs de FSE et les trois types de milieux humides. Mes résultats ont montré que chaque type de milieu humide maximise différentes FSE, mais que le choix des indicateurs influence considérablement les patrons de synergies et de compromis. Bien que certains types de milieux humides maximisent les mêmes FSE, ils le font à travers différents mécanismes écologiques. Enfin, la biodiversité floristique et faunique (plantes, oiseaux, poissons, zooplanctons et insectes chanteurs) présentait les patrons d'interaction les plus diversifiés, chaque type de milieu humide maximisant différents aspects de la biodiversité. Dans mon troisième chapitre, j'ai optimisé l'approche des espèces clés (keystone species) pour permettre son utilisation en conservation afin d’identifier les espèces indicatrices de la biodiversité. Pour cela, je me suis basée sur l’approche la plus récente proposée dans la littérature et j'ai identifié les éléments qui limitaient son utilisation pour les praticiens et les praticiennes. J'ai ensuite proposé des modifications pour surmonter ces limites. Ces modifications ont permis : 1) d'élargir l'utilisation de cette approche aux données d'inventaires terrain, 2) d'identifier les espèces ayant un impact négatif sur la biodiversité, et 3) de définir des seuils rigoureux pour identifier les espèces clés au sein d'une communauté. J'ai ensuite testé cette approche sur les communautés de plantes, d'oiseaux et de poissons des milieux humides échantillonnés dans le cadre de cette thèse. Mes résultats ont montré que cette approche permettait d'identifier des espèces possédant effectivement des caractéristiques écologiques expliquant leur importance dans l'augmentation ou la diminution de la biodiversité. Ensemble, les trois approches présentées dans cette thèse offrent une perspective intégratrice de la conservation des milieux humides lacustres. Les méthodes qui y sont proposées représentent des outils intéressants, qui ont le potentiel d’optimiser notre gestion du territoire à court et à long terme, mais aussi à petite et à grande échelle. / The main objective of this thesis was to deepen our understanding of the ecology of different types of lake-edge wetlands to optimize their conservation. To achieve this, I studied the resilience, the ecosystem functions and services (EFS), and the biodiversity of three types of lake-edge wetlands. All studies wetlands were riverine to Lake Papineau, which is located in a Kenauk Nature natural reserve, between the Laurentides and Outaouais regions. This thesis therefore combines a global, a multifunctional, and a targeted approach, all focused on wetland conservation. In my first chapter, I first identified the ecological determinants of the typology of the three types of wetlands studied: peatlands, alder swamps (shrub swamps), and ash swamps (trees swamps). Using both data collected on the field and map data, I quantified 12 hydrogeomorphological (HGM) predictors and identified slope and elevation as the most important ecological determinants. My results also provided additional nuances regarding the variables associated with each wetland type. Using these 12 HGM predictors, I then created a Random Forest model capable of predicting both the presence of lake-edge wetlands and their typology. This model predicted the typology of the studied sites with 89 % accuracy, making it an interesting tool to study the distribution of lake-edge wetlands along the shore of other lakes. I also used this model to simulate different scenarios of water level changes, highlighting the resilience of peatlands and alder swamps, as well as the vulnerability of ash swamps, to global changes. In my second chapter, I quantified eight EFS using 25 different indicators, with 15 indicators quantified using field data. I developed a multifunctional approach to simultaneously study all the synergies and trade-offs between the EFS indicators and the three wetland types. My results showed that each wetland type maximizes different EFS, and that the choice of indicators significantly influences the patterns of synergies and trade-offs. Although some wetland types maximized the same EFS, they do so through different ecological mechanisms. Finally, biodiversity exhibited the most diverse interaction patterns, with each wetland type maximizing different aspects of it. In my third chapter, I optimized the keystone species approach to allow its use in conservation to identify indicator species for biodiversity monitoring. To do so, I relied on the most recent approach proposed in the literature and identified the elements that limited its use for practitioners. I then proposed modifications to overcome these limitations. These modifications allowed 1) to expand the use of this approach to field inventory data, 2) to identify species that have a negative impact on biodiversity, and 3) to define rigorous thresholds to identify keystone species within a community. I then tested this approach on plant, bird, and fish communities in the wetlands sampled in this thesis. My results showed that this approach effectively identified species with ecological characteristics that explained their importance in increasing or decreasing biodiversity. Together, the three approaches presented in this thesis provide an integrative perspective on the conservation of lake-edge wetlands. The methods I propose represent interesting tools that have the potential to optimize land management in the short and long term, as well as at small and large scales.

2015 is a turning point in the common history where the 2030 Agenda has set 17 Sustainable Development Goals (SDGs) to transform our world into a thriving and sustainable society in which humankind’s well-being is ensured while protecting the planet’s environmental boundaries. The same year, the European Commission adopted its first Circular Economy Action Plan with 54 actions to be implemented with a concise milestone: closing the loop. This inspiring concept of shifting to a Circular Economy (CE) in opposition to a linear economy is now gaining tremendous attention worldwide in the light of the emergency of redesigning our society to accelerate the journey towards a sustainable development. To successfully make this transition, a systemic change is required and it is a necessity to join forces to implement an extensive collaboration needed to align those two far reaching commitments. Thus, this study scrutinizes the interconnections between the CE targets and the SDGs targets using unique pairs of indicator time-series from 2000 to 2019 for 28 member states of the European Union (EU). The Global SDG Indicators Database and the Circular Economy Monitoring Framework of the European Commission were selected to perform this analysis. Firstly the correlations are disentangled into synergies for positive correlations and trade-offs for negative correlations using the Spearman’s rank correlation. Secondly this study aims at going further in the interpretation by examining causality in correlations found through a Transfer Entropy (TE) model measuring the power of coupling strength for two possible causal directions. This means that the directionality is assessed in a correlation by understanding which indicator in a pair is the cause and which is its effect. Hence a synergy could either be due to a positive impact of a CE target on a SDG target or to a SDG target that enhances a CE target. An analogous analysis is performed for a tradeoff. Broadly, the outcomes highlight a stronger causality in the interconnections in the direction CEtowards SDGs and overall the results show more positive interconnections with 22.43% of share than negative ones with 8.62% of share. The highest share of positive impacts of the CE on the SDGs isfound with SDG 7 (Affordable and Clean Energy), SDG 3 (Good Health and Well-Being) and SDG 15(Life on Land) while the highest share of negative impacts of the CE on the SDGs is found with SDG 2(Zero Hunger), SDG 9 (Industry, Innovation and Infrastructure) and SDG 10 (Reduced Inequalities). Additionally, the study identifies various speeds of development between countries in the alignmentof their SDGs progress and CE implementation. United Kingdom, Spain and France gather the best results in term of positive interconnections while Italy, Latvia and Luxembourg appear to have the highest share of negative interconnections. To succeed in both commitments, identified synergiesshould be leveraged and trade-offs efficiently tackled. / År 2015 var en vändpunkt i den gemensamma historien när Agenda 2030 satte de 17 Globala Målenför hållbar utveckling (SDGs) som syftar till att omvandla vår värld till ett välmående och hållbartsamhälle där mänsklighetens välbefinnande säkerställs samtidigt som planetens miljögränserskyddas. Samma år antog den Europeiska Kommissionen sin första handlingsplan för cirkulärekonomi med 54 åtgärder som ska genomföras med en enda milstolpe: att sluta kretsloppet. Detta inspirerande koncept om att byta till en cirkulär ekonomi (CE) i stället för en linjär ekonomi får nu stor uppmärksamhet över hela världen i ljuset av det akuta behovet av att omforma vårt samhälle för att påskynda övergången till en hållbar utveckling. För att lyckas med denna övergång krävs en systemförändring och ett omfattande samarbete är nödvändigt för att sammanfoga dessa två omfattande åtaganden. Därmed undersöker denna studie kopplingarna mellan CE-målen och SDG delmålen med hjälp av unika par av indikatortidsserier från 2000 till 2019 för 28 medlemsstater av Europeiska Unionen (EU). ”The Global SDG Indicators Database” och ”The Circular EconomyMonitoring Framework” av den Europeiska Kommissionen valdes ut för denna analys. Först kopplas korrelationerna loss till synergier för positiva korrelationer och avvägningar för negativakorrelationer med hjälp av Spearmans rangkorrelationskoefficient. Vidare syftar denna studie till att gå längre i tolkningen genom att undersöka kausalitet i de korrelationer som hittades med hjälp aven Transfer Entropy (TE)-modell för att mäta kopplingsstyrkan för två möjliga kausala riktningar. Detta innebär att riktningen i en korrelation bedöms genom att förstå vilken indikator i paret som är orsaken och vilken som är verkan. En synergi kan alltså bero på en positiv inverkan av ett av CEmålen på ett av SDG-delmålen eller tvärtom. En likartad analys utförs för en avvägning. På det helataget visar resultaten på en starkare kausalitet i kopplingarna i riktning från CE-målen till SDGdelmålen, och överlag visar resultaten att det finns fler positiva sammankopplingar med 22.43% än negativa med 8.62%. Den högsta andelen av CE-målens positiva effekter på SDG-delmålen återfinnsför mål 7 (Hållbar Energi för Alla), mål 3 (God Hälsa och Välbefinnande) och mål 15 (Ekosystem ochBiologisk Mångfald) medan den högsta andelen negativa effekter på SDG-delmålen återfinns för mål2 (Ingen Hunger), mål 9 (Hållbar Industri, Innovationer och Infrastruktur) och mål 10 (Minskad Ojämlikhet). Dessutom identifierar studien olika utvecklingshastigheter mellan länderna när det gäller deras framsteg i SDG-delmålen och genomförandet av CE-målen. Storbritannien, Spanien och Frankrike har de bästa resultaten när det gäller positiva sammankopplingar medan Italien, Lettland och Luxemburg tycks ha den högsta andelen negativa sammankopplingar. För att lyckas med både SDG och CE bör identifierade synergieffekter utnyttjas och kompromisser hanteras effektivt.

Virtualisation is one of the underlying technologies that led to the success of cloud computing platforms (CCPs). The technology, along with other features such as multitenancy allows delivering of computing resources in the form of service through efficient sharing of physical resources. As these resources are provided through virtualisation, a robust agreement is outlined for both the quantity and quality-of-service (QoS) in a service level agreement (SLA) documents. QoS is one of the essential components of SLA, where performance is one of its primary aspects. As the technology is progressively maturing and receiving massive acceptance, researchers from industry and academia continue to carry out novel theoretical and practical studies of various essential aspects of CCPs with significant levels of success. This thesis starts with the assessment of the current level of knowledge in the literature of cloud computing in general and CCPs in particular. In this context, a substantive literature review was carried out focusing on performance modelling, testing, analysis and evaluation of Infrastructure as a Service (IaaS), methodologies. To this end, a systematic mapping study (SMSs) of the literature was conducted. SMS guided the choice and direction of this research. The SMS was followed by the development of a novel open queueing network model (QNM) at equilibrium for the performance modelling and analysis of an OpenStack IaaS CCP. Moreover, it was assumed that an external arrival pattern is Poisson while the queueing stations provided exponentially distributed service times. Based on Jackson’s theorem, the model was exactly decomposed into individual M/M/c (c ≥ 1) stations. Each of these queueing stations was analysed in isolation, and closed-form expressions for key performance metrics, such as mean response time, throughput, server (resource) utilisation as well as bottleneck device were determined. Moreover, the research was extended with a proposed open QNM with a bursty external arrival pattern represented by a Compound Poisson Process (CPP) with geometrically distributed batches, or equivalently, variable Generalised Exponential (GE) interarrival and service times. Each queueing station had c (c ≥ 1) GE-type servers. Based on a generic maximum entropy (ME) product form approximation, the proposed open GE-type QNM was decomposed into individual GE/GE/c queueing stations with GE-type interarrival and service times. The evaluation of the performance metrics and bottleneck analysis of the QNM were determined, which provided vital insights for the capacity planning of existing CCP architectures as well as the design and development of new ones. The results also revealed, due to a significant impact on the burstiness of interarrival and service time processes, resulted in worst-case performance bounds scenarios, as appropriate. Finally, an investigation was carried out into modelling and analysis of performance and security trade-offs for a CCP architecture, based on a proposed generalised stochastic Petri net (GSPN) model with security-detection control model (SDCM). In this context, ‘optimal’ combined performance and security metrics were defined with both M-type or GE-type arrival and service times and the impact of security incidents on performance was assessed. Typical numerical experiments on the GSPN model were conducted and implemented using the Möbius package, and an ‘optimal’ trade-offs were determined between performance and security, which are crucial in the SLA of the cloud computing services. / Petroleum technology development fund (PTDF) of the government of Nigeria Usmanu Danfodiyo University, Sokoto

Temporary closures of octopus fishing areas constitute a promising co-management measure that aims to improve local governance, food security and incomes in coastal small-scale fishing communities. Although positive social and economic outcomes of temporary closures are increasingly reported, the underlying social-ecological and ecological interactions, and their impact on closure benefits are rarely studied. This lack of systemic understanding may lead to undesired outcomes. Here, I extend an existing agent-based model of temporary closures to explore the influence of individual octopus movements on ecological outcomes and fishers’ benefits in Zanzibar. First, I conceptualized the octopus closure system by analyzing empirical qualitative data and literature. Next, I iteratively developed and tested an individual-based model extension. This extension simulates between-den movements across a hypothetical seascape and formalizes intrinsic attributes of Octopus cyanea such as movement patterns and maturity stages. I analyzed the effects of varying closure size of fishing grounds temporarily closed to illustrate potential implications for outcomes of octopus closures. Simulation results show that individual octopus movements triggered by fishing activities have noticeable impacts on octopus sizes, their spatial and temporal distribution, and fishers’ catches, particularly when considering different social groups that depend on the fishery. Scenarios with closures in place show higher mean octopus weight in closed areas in contrast to open-access areas. Mean catches for women foot-fishers are lower compared to freedivers’ catches and even slightly lower when allowing octopuses to move in response to disturbance in all scenarios. Catch rates and distribution of mature octopuses are highly sensitive to closure size revealing a social-ecological trade-off when implementing larger closures. This study demonstrates an approach to integrating individual octopus movements and interactions between fishers and octopuses in a fishery management context, and suggests that reactive movement of octopus contributes to unequal distribution of the closure benefits between different social groups. / Octopus and People In Novel Transdisciplinary Simulations (OctoPINTS project)

Il existe dans le règne animal une diversité incroyable de durées de vie allant de quelques jours pour les petits vers gastrotriches à plusieurs centaines d’années pour certains bivalves ou tortues terrestres. Cette étonnante diversité a depuis longtemps questionné les chercheurs en biologie. L’intérêt croissant pour le phénomène de vieillissement, notamment dû à l’augmentation de l’espérance de vie chez l’Homme, a conduit les chercheurs à essayer de comprendre les processus qui déterminent les patrons de longévité et de vieillissement. D’une part, les études biomédicales et biogérontologiques ont contribué à décrire nombres de mécanismes physiologiques et cellulaires à l’origine du vieillissement. Parmi ces mécanismes, le stress oxydant a été identifié comme jouant un rôle majeur, à travers l’accumulation au cours de la vie des dégâts générés par la production de radicaux libres lors d’activités métaboliques aérobies. D’autre part, le développement de théories évolutives du vieillissement a contribué à comprendre l’origine ultime du vieillissement et l’évolution de la diversité des traits d’histoire de vie. Cependant, ces approches, bien que complémentaires, sont longtemps restées imperméables et les travaux intégrant les mécanismes physiologiques tels que le stress oxydant dans une perspective évolutive n’ont connu que de récents développements. Dans cette thèse, nous avons étudié comment des mécanismes tels que le stress oxydant et ses coûts associés lors d’évènements comme la reproduction ou la réponse immunitaire pouvaient jouer un rôle dans l’évolution des patrons de vieillissement chez les oiseaux et les mammifères (i) en étudiant le rôle des antioxydants comme ressources clés dans les compromis adaptatifs entre reproduction et survie en fonction de l’âge, (ii) en étudiant les conséquences à long terme de l’environnement périnatal, (iii) en étudiant le lien entre réponse inflammatoire et patrons de vieillissement et de longévité contrastée entre oiseaux et mammifères, (iv) en s’intéressant plus particulièrement aux mécanismes de régulation immunitaire, soulignant leur rôle crucial pour la fitness des hôtes, et notamment tard dans la vie. Nos résultats soulignent l’importance des contraintes physiologiques liées à la limitation en ressources clés (antioxydants) ou aux dégâts engendrés lors d’activités coûteuses et destructrices et sur les patrons de vieillissements à l’échelle intra et inter-spécifique. / There is an incredible diversity of lifespan in the animal kingdom ranging from a few days for small gastrotrichs worms to several hundred of years for some bivalves or tortoises. This amazing diversity has long questioned biology researchers. The growing interest in the phenomenon of aging, mainly due to the increase in life expectancy in humans, has questioned researchers on processes that determine patterns of longevity and ageing. On the one hand, biomedical and biogerontological studies helped describe numerous cellular and physiological mechanisms related to aging. Among these mechanisms, oxidative stress has been identified as playing a major role, through life-time accumulation of damage generated by production of metabolic free radicals. On the other hand, the development of evolutionary theories of aging has contributed to understanding ultimate origins of ageing and of the diversity of life history traits. However, these approaches, although complementary, have long remained separated and works that integrate physiological mechanisms such as oxidative stress in an evolutionary perspective have known only recent developments. In this thesis, we studied how mechanisms such as oxidative stress and its associated costs produced during reproduction or immune response could play a role in the evolution of patterns of ageing in birds and mammals by (i) studying the role of antioxidants as key resources involved in adaptive trade-offs between reproduction and survival through age, (ii) studying the long-term effects of the early environment, (iii) studying the relationship between inflammatory response and contrasted patterns of ageing and longevity between birds and mammals, (iv) focusing particularly on immune regulatory mechanisms, emphasizing their crucial role in fitness of hosts, especially late in life. Overall, our results highlight the importance of physiological constraints in terms of key resources limitation (i.e. antioxidants) or damage caused during costly and destructive activities and on intra-and inter-specific patterns of ageing.

Design trade-offs between estimation performance, processing delay and communication cost for a sensor scheduling problem is discussed. We consider a heterogeneous sensor network with two types of sensors: the first type has low-quality measurements, small processing delay and a light communication cost, while the second type is of high quality, but imposes a large processing delay and a high communication cost. Such a heterogeneous sensor network is common in applications, where for instance in a localization system the poor sensor can be an ultrasound sensor while the more powerful sensor can be a camera. Using a time-periodic Kalman filter, we show how one can find an optimal schedule of the sensor communication. One can significantly improve estimation quality by only using the expensive sensor rarely. We also demonstrate how simple sensor switching rules based on the Riccati equation drives the filter into a stable time-periodic Kalman filter. ￜ 2008 IEEE. / <p>QC 20110224</p>