Agent-based models are computer models made up of agents that can exist in a finite number of states. The state of the system at any given time is determined by rules governing agents' interaction. The rules may be deterministic or stochastic. Optimization is the process of finding a solution that optimizes some value that is determined by simulating the model. Optimal control of an agent-based model is the process of determining a sequence of control inputs to the model that steer the system to a desired state in the most efficient way. In large and complex models, the number of possible control inputs is too large to be enumerated by computers; hence methods must be developed for use with these models in order to find solutions without searching the entire solution space. Heuristic algorithms have been applied to such models with some success. Such algorithms are discussed; case studies of examples from biology are presented. The lack of a standard format for agent-based models is a major issue facing the study of agent-based models; presentation as polynomial dynamical systems is presented as a viable option. Algorithms are adapted and presented for use in this framework. / Master of Science

Recent empirical studies have demonstrated inter-generational morphological and life-history changes in fish stocks that have been impacted by size-selective harvest. Evolutionary processes in biological populations occur through differential survival and reproductive success based, in part, upon individual phenotypic variability. Fishing is a source of directional selection resulting in the directed removal of some phenotypes; however, many aspects of the evolutionary effects of fishing remain have yet to be described. In order to better understand the life-history and morphological changes that occur as a result of size-selective fishing, and their effect on fishery dynamics, I first determined the suitability of Japanese medaka (Oryzias latipes) for selection experiments. I performed selection experiments using Japanese medaka and report how morphology and life-history characteristics changed over multiple generations of selection. I then used these patterns of change in life-history and morphology to validate individual-based simulation candidate models to test general mechanisms of life-history relationships. Finally, I applied the individual-based simulation modeling approach in order to describe how biological and fishery characteristics change in a large, age-structured population exposed to size-selective fishing over multiple generations. I found that the Japanese medaka has attractive characteristics for biological investigation. The selection experiments indicated large changes in the age-atmaturity, including a nearly 50% decrease over four generations in the most intense sizeselective removal regimes. However, I did not observe significant changes in length-at-age or weight-at-age over the course of the experiment. Candidate simulation models were poor at predicting some aspects of the life-history characteristics of Japanese medaka. The simulation model to determine fishery characteristics predicted large decreases in yield and egg production as a result of decreases in length-at-age. Understanding the relationships of life-history characteristics and their role in determining population resilience is a step toward understanding the importance of evolutionary processes in fishery management. / Ph. D.

The global effort to rehabilitate and restore destroyed mangrove forests is unable to keep up with the high mangrove deforestation rates which exceed the average pace of global deforestation by three to five times. Our knowledge of the underlying processes of mangrove forest regeneration is too limited in order to find suitable techniques for the restoration of degraded mangrove areas. The general objective of my dissertation was to improve mangrove restoration by understanding regeneration processes and local plant-plant interaction in a regenerating Avicennia germinans forest. The study was conducted in a high-shore mangrove forest area on the Ajuruteua peninsula, State of Para, Northern Brazil. The dwarf forest consisting of shrub-like trees is recovering from a stand-replacing event caused by a road construction in 1974 which interrupted the tidal inundation of the study area. Consequently, infrequent inundation and high porewater salinity limit tree growth and canopy closure. All trees and seedlings were stem-mapped in six 20 m x 20 m plots which were located along a tree density gradient. Moreover, height, crown extent, basal stem diameter of trees were measured. The area of herbaceous ground vegetation and wood debris were mapped as well. The mapped spatial distribution of trees, seedlings and covariates was studied using point pattern analysis and point process models, such as Gibbs and Thomas point process, in order to infer underlying ecological processes, such as seed dispersal, seedling establishment, tree recruitment and tree interaction. In the first study (chapter 2), I analyzed the influence of abiotic and biotic factors on the seedling establishment and tree recruitment of A. germinans during the recolonization of severely degraded mangrove sites using point process modeling. Most seedlings established adjacent to adult trees especially under their crown cover. Moreover, seedling density was higher within patches of the herbaceous salt-marsh plants Blutaparon portulacoides and Sesuvium portulacastrum than in uncovered areas. The higher density of recruited A. germinans trees in herb patches indicated that ground vegetation did not negatively influence tree development of A. germinans. In addition, tree recruitment occurred in clusters. Coarse wood debris had no apparent effect on either life stage. These results confirm that salt-marsh vegetation acts as the starting point for mangrove recolonization and indicate that the positive interaction among trees accelerates forest regeneration. In the second study (chapter 3), I analyzed how intraspecific interaction among A. germinans trees determines their growth and size under harsh environmental conditions. Interaction among a higher number of neighboring trees was positively related to the development of a focal tree. However, tree height, internode length and basal stem diameter were only positively associated in low-density forest stands (1.2 trees m-2) and not in forest stands of higher tree density (2.7 trees m-2). These results indicated a shift from facilitation, i.e. a positive effect of tree interaction, towards a balance between facilitation and competition. In the third study (chapter 4), I used point process modeling and the individual-based model mesoFON to disentangle the impact of regeneration and interaction processes on the spatial distribution of seedlings and trees. In this infrequently inundated area, propagules of A. germinans are only dispersed at a maximum distance of 3 m from their parent tree. Furthermore, there is no evidence that the following seedling establishment is influenced by trees. I was able to differentiate positive and negative tree interactions simulated by the mangrove model mesoFON regardless of dispersal processes based on static tree size information using the mark-correlation function. The results of this dissertation suggest that mangrove forest regeneration in degraded areas is a result of facilitative and not competitive interactions among mangrove trees, seedling and herbaceous vegetation. This has important implications for the restoration of degraded mangrove forest. Degraded mangrove areas are usually restored by planting a high number of evenly spaced seedlings. However, high costs constrain this approach to small areas. Assisting natural regeneration could be a less costly alternative. Herbaceous vegetation plays a crucial role in forest recolonization by entrapping propagules and possibly ameliorating harsh environmental conditions. So far only competition among mangrove trees has been considered during restoration. However, facilitative tree interactions could be utilized by planting seedling clusters in order to assist natural regeneration instead of planting seedlings evenly-spaced over large areas. This dissertation also showed that point pattern analysis and point process modeling can enable forest ecologists to describe the spatial distribution of trees as well as to infer underlying ecological processes.

<p>This dissertation investigates the influence of spatially explicit animal behavior active subsidy distribution patterns. Active subsidies are animal-transported consumption and resources transfers from donor to recipient ecosystems. Active subsidies influence ecosystem structure, function and services in recipient ecosystems. Even though active subsidies affect ecosystem dynamics, most ecosystem models consider the influence of spatially-explicit animal behavior on active subsidy distributions, limiting the ability to predict corresponding spatial impacts across ecosystems. Spatial subsidy research documents the need for systematic models and analyses frameworks to provide generally insights into the relationship between animal space use behavior and active subsidy patterns, and advance knowledge of corresponding ecosystem impacts for a variety of taxa and ecological scenarios.</p> <p> </p> <p>To advance spatial subsidy research, this dissertation employs a combined individual-based and movement ecology approach in abstract modeling frameworks to systematically investigate the influence of 1) animal movement behavior given mortality (chapter 2), 2) animal sociality (chapter 3) and 3) landscape heterogeneity (chapter 4) on active subsidy distribution. This dissertation shows that animal movement behavior, sociality and landscape heterogeneity influence the extent and intensity of active distribution and impacts in recipient ecosystems. Insights from this dissertation demonstrate that accounting for these factors in the development of ecosystem models will consequentially enhance their utility for predicting active subsidy spatial patterns and impacts. This dissertation advances spatial subsidy research by providing a road map for developing a comprehensive, unifying framework of the relationship between animal behavior and active subsidy distributions.</p>

Made available in DSpace on 2014-06-11T19:35:44Z (GMT). No. of bitstreams: 0 Previous issue date: 2011-01-10Bitstream added on 2014-06-13T18:47:11Z : No. of bitstreams: 1 giocomini_hc_dr_rcla.pdf: 2415116 bytes, checksum: 60197822e40f54efd586b3c12529038a (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Um modelo baseado no indivíduo para história de vida e interações tróficas de peixes é proposto nesta tese. Ele integra teorias sobre fisiologia, crescimento, reprodução e alimentação num mesmo arcabouço dinâmico. As comunidades são formadas por um processo seqüencial de assembleamento que seleciona espécies com melhor ajuste às condições locais. No capítulo 1, experimentos computacionais foram feitos para avaliar a resposta seletiva de 10 características bionômicas em gradientes de produtividade, taxas de ataque por predadores, distribuição do tamanho corporal no conjunto regional de espécies, e a presença/ausência de assimetrias nas habilidades dos peixes em consumir presas e em evitar predação. Este último fator inclui conflitos funcionais entre a eficiência de captura versus generalidade de dieta e intensidade de forrageamento versus defesa contra predadores. As comunidades resultantes foram fortemente afetadas pelos gradientes. Picos de riqueza ocorrem em produtividades moderadamente baixas, associadas a baixas taxas de ataque, o que pode estar relacionado ao efeito estabilizador de respostas funcionais menos saturadas e às características emergentes das espécies. Com alta disponibilidade de recursos, espécies de rápido crescimento e tamanhos variados dominaram, promovendo rápida depleção dos recursos durante a formação das comunidades e ocasionando fortes efeitos de prioridade. As assimetrias de consumo aumentaram a coexistência onde ela tende a ser mais difícil, mas a diminuíram em seus pontos de pico. Mas seu principal efeito foi o de modificar a composição ao longo dos gradientes, modulando o formato das associações emergentes entre as características biológicas das espécies bem sucedidas. No capítulo 2 foram realizados experimentos de invasão e exclusão, para avaliar como as características das espécies... / An individual-based model for fish life history and trophic interactions is here proposed. It integrates theories for individual physiology, growth, reproduction, and feeding in the same dynamical framework. Communities are formed by a sequential assembly process which selects for species best adjusted to local conditions. Simulation experiments were carried out to evaluate the distribution of diversity and selective response of 10 bionomic features along gradients of resource productivity, predators maximum attack rates, body size distribution in species pool, and the presence/absence of asymmetries in both the abilities of fish to consume prey and to avoid being consumed. This last factor includes tradeoffs concerning capture efficiency versus diet generality and foraging intensity (associated to growth rate) versus defense against predators. The resulting communities were strongly affected by the gradients. Richness peaks are localized at moderately low productivities associated to low maximum attack rates, which might be related to the stabilizing effect of less saturated functional responses and to the emergent features of selected species. At high resource availability, fast growing species with variable sizes dominated, promoting early fast resource depletion during assembly and leading to strong priority effects. The hierarchical consumption asymmetries increased coexistence where it tends to be more difficult, but diminished it at its points of peak. But its main effect was modifying species trait composition along other gradients, modulating the shape of emergent associations among biological features of successful species. Additional invasion and deletion experiments were carried out to evaluate how species and community features are related invasion success and native extinctions. Successful invaders tend to possess similar life-history features to invaded community, but low... (Complete abstract click electronic access below)

L’anchois et la sardine appartiennent à la guilde des petits poissons pélagiques, qui tiennent une place considérable à l’échelle des écosystèmes et des pêcheries. Ces deux espèces sont très largement répandues dans les mers et océans du globe et souvent occupent les mêmes écosystèmes. Leurs populations montrent d’importantes fluctuations interannuelles de biomasses, dont les tendances ne suivent pas les mêmes schémas, voire sont parfois déphasées. Une littérature croissante suggère que ces dynamiques sont dues à des sensibilités relatives aux conditions environnementales différentes induites par des traits biologiques distincts. Bien que de prime abord anchois et sardines semblent très similaires, ils montrent notamment des stratégies alimentaires et reproductives quelque peu différentes. Comprendre ces divergences biologiques et de stratégies d’histoire de vie apparait donc essentiel pour appréhender les dynamiques passées et éventuellement anticiper les évolutions futures de ces stocks. L’objectif de cette thèse est de déterminer en quoi se démarquent ces deux espèces en termes de traits biologiques et d’histoire de vie sur une base physiologique. En effet, du fait de la complexité de potentielles interactions entre les traits biologiques et de leurs évolutions ontogéniques, il convient, pour répondre à cette question, de mettre en œuvre une approche intégratrice via la modélisation bioénergétique à l’échelle du cycle de vie. Dans un premier temps l’étude a été dédiée à un indice de condition : la densité énergétique (contenu énergétique par unité de masse). La densité énergétique résulte de nombreux processus physiologiques, intégrant ainsi l’historique des dépenses énergétiques diverses face aux gains acquis via l’alimentation. L’analyse de cet indice a notamment permis d’identifier divers effets sur la condition énergétique du poisson : l’espèce, la taille, la saison et la zone géographique. En lien avec l’énergie observée, un modèle du cycle de vie a été paramétré pour les deux espèces dans le golfe de Gascogne, afin de disposer d’un outil intégrateur, exploratoire et prédictif. Il s’agit d’un modèle bioénergétique basé sur la théorie du « Dynamic Energy Budget » (DEB). Ce cadre vise à prédire le cycle de vie d’un organisme, en fonction de forçages environnementaux, en simulant la résultante des différents flux d’énergies qui s’y produisent. Cette approche a notamment permis de souligner le caractère particulièrement structurant des stratégies reproductives sur le cycle bioénergétique annuel des deux espèces. / Anchovy and sardine belong to the guild of small pelagic fish and are of peculiar importance at the scales of ecosystems and fisheries. Both species are worldwide spread and commonly occur in the same ecosystems. They display large interannual variability in biomass with markedly different trends or even asynchronous. A growing literature suggests that those dynamics are due to respective sensibility to environmental conditions driven by different biological traits. A priori both species are very similar but show slightly distinct feeding behaviours and reproductive strategies. Understanding divergences in both species biology and life history strategies is thus crucial to understand and predict past and future dynamics of these stocks. The aim of this PHD is to assess how both species diverge in terms of biological and life history traits on a physiological basis. Owing to the complexity of biological traits, potential interactions among these traits and ontogenetic evolutions, to answer this question an integrative approach based on a bioenergetics model of the whole life cycle is requested. First the study focus on a condition index: the energy density (energy content per unit of mass). Energy density integrates historic of numerous physiological processes, both gain from food and diverse metabolic expenses. This analysis shows effects on the bioenergetics cycle of the fish, namely species, size, season and geographic area. Linked with bioenergetics data, a full life cycle model has been parametrised for both species in the Bay of Biscay, in order to get an integrative, predictive and exploratory tool. This model is based on the “Dynamic Energy Budget” theory. This theory aims at predicting the life cycle of an organism, using environmental forcing, by simulating energy fluxes inside the organism. This modelling approach underlines the particularly significant feature of reproductive strategies on the bioenergetics annual cycle of both species.

Les patrons récursifs de déplacement, où l’individu revient à des sites déjà visités, sont très répandus. L’utilisation de la mémoire, supposée être avantageuse lorsque l’environnement est prévisible, pourrait être sous-jacente à l’émergence de ces patrons. Cependant, notre compréhension de l’interface mémoire-déplacement a jusqu'à présent été limitée par un manque de méthodes adaptées et d’investigation théorique des avantages de l’utilisation de la mémoire et des patrons qui en émergent. Au cours de cette thèse j’ai cherché à combler en partie ces manques. Je propose ici trois nouveaux cadres d'analyse des patrons récursifs de déplacement. Le premier délimite les zones les plus fréquemment revisitées par un individu, le deuxième détecte la périodicité dans les revisites de sites connus, et le troisième définit formellement et quantifie la routine de déplacement en termes de répétitivité de la séquence de déplacement, et propose un algorithme pour détecter les sous-séquences répétées. A l'aide d'un modèle individu-centré, nous montrons que l'utilisation de la mémoire dans un environnement prévisible est très avantageuse énergétiquement comparée à une stratégie de recherche sans mémoire, y compris en situation de compétition, et qu'elle mène à l'émergence de domaines vitaux stables et à la ségrégation spatiale entre individus. L'utilisation de la mémoire invalide plusieurs hypothèses très courantes faites par les études populationnelles, en menant à une forte déplétion de l’environnement, à une augmentation de la taille de la population à l’équilibre, et à une relation non linéaire entre la taille de population totale et l’intensité de compétition localement ressentie par les individus. Ainsi, ma thèse contribue à une meilleure compréhension des conséquences de la mémoire sur la valeur sélective des individus, sur les patrons de déplacement, et sur la démographie des populations. Elle propose des méthodes innovantes pour quantifier et caractériser les patrons récursifs de déplacement pouvant émerger de son utilisation. Ces méthodes devraient ouvrir de nouvelles opportunités de comparaisons entre individus de différentes populations ou espèces qui permettront le test d'hypothèses sur les pressions de sélection favorisant l'utilisation de la mémoire. / Recursive movement patterns, by which an individual returns to already visited sites, are very common. Memory use, hypothesized to be advantageous when the environment is predictable, could underlie the emergence of these patterns. However, our understanding of the memory-movement interface has been limited by two knowledge gaps. We still lack appropriate methodologies and theoretical knowledge of the advantages of memory use and of the patterns that emerge from it. During this PhD project, I aimed at filling in some of these gaps. I present here three new frameworks for the analysis of recursive movement patterns. The first one delimits the areas most frequently revisited by an individual, the second one detects periodic revisit patterns, and the third one formally defines and quantifies routine movement behaviour in terms of movement sequence repetitiveness, and presents an algorithm that detects the sub-sequences that are repeated. Using an individual-based model, we show that memory use, when the environment is predictable, is very energetically advantageous compared to foraging strategies that do not use memory, including in a situation of competition, and that it leads to the emergence of stable Home Ranges and spatial segregation between individuals. Memory use invalidates several hypotheses very commonly made in population studies, by leading to a stronger environmental depletion, to a higher equilibrium population size, and to a nonlinear relationship between the total population size and the individually-experienced intensity of competition. Therefore, my PhD thesis contributes to a better understanding of the consequences of memory use for the fitness of individuals, for movement patterns, and for population dynamics. It offers innovative methodologies that quantify and characterize recursive movement patterns that can emerge from its use. These methods should open new opportunities for the comparison of the movements of individuals from different populations and species, and thus the testing of hypotheses about the pressures that select for memory use.

Les systèmes bactériens sont complexes et adaptatifs. Soumis à des perturbations, telles qu’un traitement antibiotique, ils survivent, se régénèrent et évoluent. Ceci est d’autant plus vrai pour les biofilms, capables de surmonter des traitements létaux à des bactéries planctoniques. La capacité des systèmes à retrouver leur équilibre initial, certaines fonctions ou compositions après un choc est appelée résilience. La résilience est souvent considérée comme complémentaire à la résistance en écologie. Pourtant, la résilience aux antibiotiques reçoit peu de considération en comparaison de la résistance aux antibiotiques en bactériologie. L’une des raisons de ce désintérêt est que ce concept est souvent mal défini et ambigu. Dans cette thèse, nous proposons tout d’abord une base conceptuelle de la résilience aux antibiotiques. A partir de l’analyse de différentes définitions existantes de la résilience, nous fournissons une démarche pour formaliser le concept de résilience dans le contexte d’une population bactérienne soumise à des traitements antibiotiques. De cette première analyse, le mécanisme biologique de persistance bactérienne est ressorti comme important dans la résilience aux antibiotiques. Ce phénomène repose sur la formation de cellules tolérantes aux antibiotiques, les persisters, dont la formation est influencée par les conditions environnementales. Afin de relier la formation des persisters aux conditions environnementales, nous avons développé des modèles mathématiques de transition phénotypique entre cellules sensibles et persisters que nous avons calibrés et testés à l’aide de données expérimentales. Enfin, nous avons étudié l’effet de la persistance bactérienne sur la résilience aux antibiotiques des biofilms. Pour cela, nous avons développé un modèle individu-centré de biofilm intégrant des transitions entre cellules sensibles et persisters. Différentes stratégies de transition ont été reliées à la capacité des biofilms à croître, survivre et se régénérer après un choc antibiotique. La mise en place d’expériences capables de fournir des données à comparer aux simulations est proposée dans la discussion de cette thèse. Cette thèse contribue à la clarification du concept de résilience aux antibiotiques et à la compréhension du phénomène de persistance bactérienne dans les biofilms. Elle ouvre des perspectives sur l’utilisation du concept de résilience en bactériologie clinique et souligne l’importance de l’hétérogénéité des populations bactériennes dans leur capacité à confronter les perturbations et évoluer. / Bacterial systems are complex and adaptive. When faced with disturbances, such as antibiotic treatments, they survive, recover and evolve. This is particularly true for biofilms, which survive treatments that planktonic cells cannot overcome. The capacity of systems to recover their initial state, some of their functions or composition after a disturbance is called resilience. The resilience concept is often considered complementary to resistance in ecology. However, antibiotic resilience has received little attention compared to antibiotic resistance. One reason of this lack of interest comes from the fact that the resilience concept is often poorly defined and ambiguous. In this thesis, we firstly developed a conceptual framework of antibiotic resilience and applied this framework to the case of a bacterial population faced with antibiotics. This analysis highlighted the importance of the biological mechanism of bacterial persistence. This phenomenon is based on the formation of sub-populations of antibiotic tolerant cells, the persisters, which is influenced by environmental conditions. To relate persister formation to environmental conditions, we developed mathematical models of phenotypic switches between susceptible and persister cells and calibrated and tested them with experimental data. Lastly, we studied the influence of bacterial persistence on biofilm antibiotic resilience. For this purpose, we developed an individual-based model of biofilm with phenotypic switches between susceptible and persister cells. Different strategies of phenotypic switches were related to the dynamics of growth, survival and recovery of bacterial biofilms faced with antibiotic shocks. The setting up of experimentations to obtain data to compare to simulations is presented in the discussion of this thesis. Globally, this thesis contributes to the clarification of the concept of antibiotic resilience and to the understanding of bacterial persistence in biofilms. It gives new perspectives on the use of the resilience concept in clinical bacteriology and emphasizes the importance of the heterogeneity of bacterial populations in their capacity to face disturbances and evolve.

Dans cette thèse nous nous sommes intéressés à la formation des bancs de poissons et à l'étude des interactions proies-prédateurs en présence de comportements collectifs par une approche de modélisation. Ce phénomène, bien qu'il soit le résultat d'interactions qui ont lieu à l'échelle individuelle, il engendre des conséquences à plus grande échelle, spatiale ou temporelle. L'objectif principal de cette thèse a été celui de comprendre l'influence du processus d'agrégation sur la réponse fonctionnelle. Nous avons élaboré un modèle centré sur l'individu (IBM) qui décrit les interactions intra-spécifiques ainsi que celle entre proies et prédateurs. Les agents peuvent ou pas avoir du comportement collectif.Dans un premier modèle les prédateurs sont attirés par les proies qu'ils voient. Ensuite, nous avons ajouté une composante à la vitesse du prédateur dépendante du bruit émis par les proies. Pour les deux cas, nous avons comparé les réponses fonctionnelles dans quatre configurations différentes. Nos résultats suggèrent que la prédation est plus efficace lorsque les proies s'agrègent. De plus, deux différents types de réponse fonctionnelle émergent : celle de Holling type II si les proies ne forment pas des bancs, celle de Holling type III autrement.Ensuite, nous nous sommes focalisés sur les conséquences à l'échelle de la population d'un phénomène (l'agrégation) se déroulant à l'échelle individuelle. Nous avons cherché un indice capable de détecter les bancs dans l'espace. Ensuite, en suivant une démarche mathématique, nous avons écrit une équation aux dérivées partielles représentant l'évolution spatio-temporelle de la densité des proies. / This thesis deals with the modelling of schooling phenomena and its consequences on predator-prey dynamics. Many marine species exhibit collective behaviour. While this phenomenon depends on individual interactions, it can have important effects at larger spatial and temporal scales.The main goal of this work is to understand the influence of aggregation on functional response, which represents predator feeding behaviour. We elaborated an individual-based model (IBM) describing schooling behaviour as well as predator-prey interactions. Predators can either be attracted towards visible prey, or hear, and so move towards, the noise produced by prey at a larger distance and then attack once they are close enough to see them. We analysed four different configurations, in which prey and/or predators can school or just move randomly. Our results shown an increased predation efficiency when prey school, and also different functional response shapes: Holling type II emerges if prey do not aggregate, while Holling type III emerges when prey school. Then, we focused on schooling consequences at higher scale. In particular, we analysed how to fit classical models to our emergent functional responses. Moreover, we found out a possible way to detect aggregates. Finally, we wrote a model representing the spatio-temporal evolution of prey density.

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