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Spatial analysis of species for which there is limited quantity of data, termed as the data-poor species, has been challenging due to limited information, especially lack of spatially explicit information. However, these species are frequently of high ecological, conservation and management interest. In this study, I used two empirical examples to demonstrate spatial analysis for two kinds of data-poor species. One example was seabird bycatch from the U.S. Atlantic pelagic longline fishery, which focused on rare events/species for which data are generally characterized by a high percentage of zero observations. The other example was endangered white abalone off the California coast, which focused on endangered species whose data are very limited. With the seabird bycatch example, I adopted a spatial filtering technique to incorporate spatial patterns and to improve model performance. The model modified with spatial filters showed superior performance over other candidate models. I also applied the geographically weighted approach to explore spatial nonstationarity in seabird bycatch, i.e., spatial variation in the parameters that describe relationships between biological processes and environmental factors. Estimates of parameters exhibited high spatial variation. With the white abalone example, I demonstrated the spatially explicit hierarchical demographic model and conducted a risk assessment to evaluate the efficacy of hypothetical restoration strategies. The model allowed for the Allee effect (i.e., density-dependent fertilization success) by using spatial explicit density estimates. Restoration efforts directed at larger-size individuals may be more effective in increasing population density than efforts focusing on juveniles. I also explored the spatial nonstationarity in white abalone catch data. I estimated the spatially explicit decline rate and linked the decline rate to environmental factors including water depth, distance to California coast, distance to land, sea surface temperature and chlorophyll concentration. The decline rate showed spatial variation. I did not detect any significant associations between decline rate and these five environmental factors. Through such a study, I am hoping to provide insights on applying or adapting existing methods to model spatial dynamics of data-poor species, and on utilizing information from such analyses to aid in their conservation and management. / Ph. D.

<p>The decrease in number and area of managed hay-meadows over the last century, in combination with the reduction of traditional management, threatens the biodiversity connected to these habitats. I experimentally examined how management intensity affected meadow characteristics and long-term population viability of three vascular plant species in wooded hay-meadows on the Swedish island of Gotland in the Baltic Sea. I discovered that intensified management (extra raking and/or extra mowing) reduced the amount of litter and biomass, even in well-managed meadows. </p><p>The effects of intensified management on population growth rate varied among species. Deterministic demographic models revealed that intensified management increased population growth rate in <i>Succisa pratensis</i>. Stochastic modelling confirmed this; all meadows displayed larger projected population sizes 50 years into the future with intensified management. <i>Polygala amarella</i> responded with lower growth rates in raked plots, a consequence of the plant’s morphology, which makes it prone to being pulled out by raking. <i>Hypochoeris maculata</i> had population growth rates close to unity, and showed no response to an increase in management. Examination of the life-history characteristics of <i>Polygala amarella</i> showed that the species’ strategy is aimed at reproduction and fast growth, which is in contrast to the other two species, with their success relying on the survival of older plants. The species-specific responses to management show that several species should be considered when evaluating management practices for conservation of semi-natural grasslands. Furthermore, I suggest that data on stage distributions alone may not be sufficient for identifying threatened populations.</p><p>In a study of artificial dispersal between meadows, I found that establishment was twice as successful for planted plug-plants compared to sown seeds. Both methods may be useful for introducing or augmenting meadow populations, depending on access to seed sources and possibilities to nurse plants.</p><p>An electronic coordinate measurement device for gathering location data to be used in demographic studies was developed. In the field, the device proved to be a simple and reliable method for locating individuals in permanent plots.</p>

The decrease in number and area of managed hay-meadows over the last century, in combination with the reduction of traditional management, threatens the biodiversity connected to these habitats. I experimentally examined how management intensity affected meadow characteristics and long-term population viability of three vascular plant species in wooded hay-meadows on the Swedish island of Gotland in the Baltic Sea. I discovered that intensified management (extra raking and/or extra mowing) reduced the amount of litter and biomass, even in well-managed meadows. The effects of intensified management on population growth rate varied among species. Deterministic demographic models revealed that intensified management increased population growth rate in Succisa pratensis. Stochastic modelling confirmed this; all meadows displayed larger projected population sizes 50 years into the future with intensified management. Polygala amarella responded with lower growth rates in raked plots, a consequence of the plant’s morphology, which makes it prone to being pulled out by raking. Hypochoeris maculata had population growth rates close to unity, and showed no response to an increase in management. Examination of the life-history characteristics of Polygala amarella showed that the species’ strategy is aimed at reproduction and fast growth, which is in contrast to the other two species, with their success relying on the survival of older plants. The species-specific responses to management show that several species should be considered when evaluating management practices for conservation of semi-natural grasslands. Furthermore, I suggest that data on stage distributions alone may not be sufficient for identifying threatened populations. In a study of artificial dispersal between meadows, I found that establishment was twice as successful for planted plug-plants compared to sown seeds. Both methods may be useful for introducing or augmenting meadow populations, depending on access to seed sources and possibilities to nurse plants. An electronic coordinate measurement device for gathering location data to be used in demographic studies was developed. In the field, the device proved to be a simple and reliable method for locating individuals in permanent plots.

Alors que le nombre et la proportion de personnes âgées de 60 ans et plus vont continuer de s'accroître dans les pays en voie de développent comme l'Iran au cours des prochaines décennies, l'augmentation de la demande et des dépenses de santé et particulièrement les soins de longue durée poseront les mêmes problèmes de santé publique auxquels les pays développées sont confrontés aujourd'hui.Face au vieillissement de la population marquée par la transition démographique, face à l'augmentation de la longévité et du nombre de personnes en situation de dépendance, de fragilité et de handicap, face à la réduction des possibilités d'aides familiales, les communautés et les nations s'engagent le plus souvent vers une augmentation des structures d'hébergement et de soins, puis reconsidèrent pour des questions économiques la prise en charge à domicile.L'accélération de la transition démographique sur une courte période pour les pays en développement comme l'Iran doit être alarmante pour leurs responsables politiques car aucune planification stratégique de ces impacts socio-économiques n'a été élaborée. Les baby-boomers de 1991-1996 en Iran arriveront à l âge de + de 60 ans vers 2050. Les iraniens et les autorités sociales ont 40 ans (Windows oppurtunity =fenêtre démographique «d'opportunité ») pour couvrir les besoins de cette population âgée. Bien que le vieillissement des personnes soit important le besoin de soins pour une partie d'entre eux le sera encore plus en raison d'une limitation dans leur autonomie quotidienne. La prévalence de l'incapacité va croître rapidement avec l'âge.Dans notre étude, nous concluons qu'en 2009, 136 personnes âgées de plus de 60 ans sur 10.000 habitants sont modérément ou très dépendantes (1.005.400 personnes en 2009). Cela signifie qu'ils ne peuvent pas faire leurs activités de la vie quotidienne et qu'ils ont besoin d'aide des autres. Ils ont besoin d'une autre personne pour les aider dans leur toilette, l'alimentation, de transfert, faire des courses, ménage de la maison, et ainsi de suite. Pour les personnes âgées avec la dépendance est sévère, ont besoin d'aide 24/24 heures. Cela signifie qu'ils sont incontinents, grabataires et ont parfois besoin d'une alimentation artificielle (Alimentation par sonde naso-gastrique, ou gastrostomie). A l'avenir, en 2050, le nombre de personnes dépendantes âgées peut être estimé à 544 personnes / 10000. (5.449.465 personnes en Iran en 2050) Cela signifie que le nombre de personnes âgées qui ont besoin de soins pour leur vie sera multiplié par 4. En même temps, en raison du déclin de la fécondité de cette période (2009-2049), le nombre d'enfants va baisser. Ainsi, les parents n'auront pas assez d'enfants pour leur soutien et leurs soins. Un autre résultat de notre travail évalue que 45% de la population iranienne en 2050 sera âgée entre 50-80 ans, donc l'âge moyen des aidant familiaux va augmenter. / While the number and proportion of people aged 60 and over will continue to grow in developing countries such as Iran in the coming decades, increasing demand and spending on health and particularly long-term care will pose the same problems that developed countries are facing today. Faced with an aging population marked by the demographic transition, facing increasing longevity and number of people experiencing dependency, frailty and disability reduced number of family caregivers, communities and nations to commit more often an increase in economic berdun . acceleration of demographic transition over a short period for developing countries like Iran should be alarming to their political leaders because none of these strategic planning for aging socio-economic impacts has been elaborated. As baby boomers reach Iran in 1991-1996 at the age of 60 + years to 2050. The Iranian authorities and the social have 40 years (= Windows oppurtunity demographic window "of opportunity") to cover the needs of the elderly population. The prevalence of disability will increase rapidly with age. In our study, we conclude that in 2009, 136 people aged over 60 in 10,000 people are moderately or highly dependent (1,005,400 people in 2009). This means they can not do their activities of daily living and they need help from others. They need another person to help them in their grooming, feeding, transfer, shopping, house cleaning, and so on. For older people with severe dependency, they need help for 24/24 hours. This means they are incontinent, bed ridden and sometimes require artificial feeding (Feeding by naso-gastric or gastrostomy). In the future, in 2050, the number of elderly dependents can be estimated at 544 people / 10000. (5,449,465 people in Iran in 2050) This means that the number of elderly who need care for their life will be multiplied by 4. At the same time, because of declining fertility of this period (2009-2049), the number of children will decline. Thus, parents will not have enough children for their support and care. Another result of our work is estimated that 45% of the Iranian population in 2050 will be aged between 50-80 years, so the average age of family caregivers will increase.

Dans la zone cotonnière au Mali-sud, les différentes études menées expliquent la croissance des effectifs du cheptel bovin par une sous-exploitation des troupeaux par les éleveurs. L'objectif de la thèse est donc de faire un diagnostic sur l'exploitation du cheptel bovin dans la zone cotonnière au Mali-Sud et identifier les contraintes à l'exploitation du troupeau. La méthodologie de recherche a combiné l'approche zootechnique et sociologique pour analyser les pratiques et les décisions d'exploitation des troupeaux des éleveurs. L'utilisation d'un modèle démographique a permis de mesurer la sensibilité du taux de productivité aux différents paramètres démographiques. Le taux d'exploitation nette du troupeau estimé a été de 0,08 / an. Ce taux comparé au taux de 0,11 / an de la productivité numérique du cheptel montre qu'il n'y a pas de sous-exploitation du troupeau bovin. Les processus d'exploitation des animaux impliquent plusieurs décideurs. Cependant, les différentes structures organisationnelles et décisionnelles ne constituent pas une entrave à l'exploitation des animaux. Le besoin monétaire est la principale raison de la vente d'animaux pour faire face aux dépenses de la famille. Les taux d'exploitation et d'importation d'animaux sont en lien avec la taille du troupeau et les comportements des familles. Le taux d'exploitation est lié à la productivité du troupeau. L'amélioration de la productivité passe par une amélioration de la reproduction et une augmentation de la proportion de femelles reproductrices dans le troupeau. / In the cotton-growing area of Southern Mali, the different studies conducted explain the growth of the cattle herds' size by the under off-take of the herds by the breeder. The objective of the thesis is therefore to make a diagnosis on the off-take of the cattle herds in the cotton-growing area of Southern Mali and to identify the constraints of the herd off-take. The research methodology combined zoo technical and sociological approach to analyze the practices and the off-take decisions of the breeder's herds. The use of a demographic model permitted to measure the sensitivity of the productivity rate to the different demographic parameters. The valued off-take rate of the herd was of 0.08 year-1. This rate compared to the rate of 0.11 year-1 of the numeric productivity of livestock shows that there is not under off-take of the cattle herds. The processes of animal's off-take imply several decision-makers. However, the different organizational structures and decision don't constitute a hindrance to the animal's off-take. The monetary need is the main reason of animal's sale to face the family's expenses. The rates of off-take and in-take of animals are tie with the herd size and the behaviors of the families. The off-take rate is related to the productivity of the herd. The productivity improvement passes by the reproduction improvement and the proportion of reproductive females in the herd.

The risk adjustment model currently used does not adequately compensate insurers for predictable differences in individuals' health care expenditures in the Czech Republic. It then leads to financial inequality in the redistribution of funds to the insurance companies and causes their financial problems. This study introduces a PCG model as another method for risk adjustment and determines to what extent the predictive performance of the model can be improved when applied to Czech data. We analyze 10% of population sample in the Czech Republic in years 2011 and 2012. Our results confirm the appropriateness of the PCG model for the Czech environment. When the PCG variables are added to the demographic model, R2 value of the prediction model increases from 2.03% to 13.87%.

La thématique de l'expansion du système agricole depuis l'Anatolie vers les Balkans est depuis longtemps un important sujet de recherche. Les approches archéologiques classiques ont permis de mieux comprendre le parcours et le temps de cette expansion, mais ils n'expliquent rien de ce qui n'est pas observable dans les traces archéologiques : notamment, la structure socio-économique d'une société agricole préhistorique. Dans cette thèse, un modèle de type multi-agents a été utilisé pour explorer ces éléments qui sont invisibles en archéologie. Ce modèle, appelé BEAN (Bridging European and Anatolian Neolithic), consiste en une adaptation du modèle OBRESOC (Un OBservatoire REtrospectif d'une SOCiété archéologique). OBRESOC avait été crée pour simuler l'expansion des agriculteurs rubanées en Europe Centrale, et a été modifié pour s'adapter au contexte archéologique balkanique. L'expansion des premiers agriculteurs Balkaniques est simulée en combinant des données archéologiques avec des inférences ethnohistoriques et paléodémographiques. Un environnement réaliste a été modélisé, où les zones d'optimum agricole sont déterminées par des estimations de la météorologie et de la fertilité des sols. Chaque agent correspond à un foyer domestique ; les agents interagissent dans cet environnement en suivant des modèles partiaux intermédiaires socioéconomiques qui déterminent les règles de leur comportement. Par exemple : maisons avec des familles nucléaires ; système agricole intensif sur des petits champs avec chasse et cueillette complémentaires ; expansion déterminée par le scalar stress villageois ; réseaux de solidarité entre apparentés ; disettes et famines causées par des événements météorologiques. De cette façon, le modèle simule le fonctionnement et l'expansion géographique d'une société agricole Néolithique. De nombreuses simulations ont été effectuées, en faisant varier les paramètres les plus importants, identifiés grâce à une analyse de sensibilité. L'adhérence entre les données archéologiques et les données simulées a été mesurée principalement avec des critères géographiques : la simulation qui produit le patron d'expansion simulé qui coïncide le mieux avec l'expansion archéologique est considérée la meilleure. De procédures spécifiques ont été crées pour manipuler la grande quantité de données simulées produites par le modèle. L'observation de ces données a permis l'exploration de certains aspects qui sont invisibles en archéologie ; par exemple, le modèle a aidé à questionner des croyances archéologiques basées sur des hypothèses qui n'étaient pas vérifiables autrement. Le modèle a permis aussi l'exploration d'autres sujets, comme la comparaison entre le front pionner de colonisation et les zones d'ancienne occupation, ainsi que l'influence de la météorologie sur l'expansion du système agricole. Le modèle a produit des patrons d'expansion qui adhèrent, géographiquement et chronologiquement, à l'expansion suggérée par les traces archéologiques. L'exploration des sorties socio-économiques a permis la formulation de nouvelles hypothèses qui ne pourraient pas être faites simplement sur la base de ce qui est trouvé dans les vestiges archéologiques. Même quand il y a un large écart entre ce qui est observé en archéologie et ce qui est produit par le modèle, cette approche de modélisation multi-agents ouvre à des nouvelles questions, en ajoutant de nouvelles idées et perspectives à la recherche actuelle. / A topic of great importance in archaeological research throughout the last decades concerns the expansion of the first farmers from Anatolia through the Balkans. The standard archaeological approaches allowed the understanding of the path and timing of this expansion; however, they lack explanation of what is unobservable in the archaeological record: in particular, the socio-economic structure of a prehistoric farming society. Throughout this thesis, an agent-based model was built in order to explore those elements which are hidden in archaeology. This model, called BEAN (Bridging European and Anatolian Neolithic), is an adaptation of the OBRESOC model (Un OBservatoire REtrospectif d'une SOCiété archéologique). OBRESOC was created to simulate the expansion of the LBK farmers in central Europe, and was adapted to the Balkan archaeological context. The expansion of the first Neolithic farmers in the Balkans was simulated by combining the archaeological records to ethnohistoric and paleodemographic inferences. A realistic environment has been modelled where the areas of optimum farming are determined by meteorology and soil fertility estimates. An agent corresponds to a household; agents interact on this landscape, following socioeconomic partial intermediate models. For instance: households composed of a nuclear family; intensive farming system on small plot completed by hunting-gathering; expansion determined by scalar stress at the hamlet scale; family clan solidarity; shortages and famines caused by meteorological events). Thus, the model simulates the functioning of the Neolithic farming society and its geographic expansion. Several simulations have been executed, testing different combinations of the key parameters, identified through a sensitivity analysis. The goodness of fit of simulated data to the archaeological data is measured mostly on geographic criteria : the best simulation is the one that produces the expansion pattern that better fits to the archaeological data. Specific procedures have been developed in order to process the large amount of data produced by the model. The observation of this data permitted to explore some aspects that are invisible in archaeological record : for example, the model helped to investigate some archaeological beliefs, based on assumptions that could not be verified. The model also permitted the exploration of other topics, such as the comparison between the pioneer front of colonization and the zones of previous occupation, as well as the effect of meteorology on the expansion of the farming system. The model produced an expansion pattern that corresponds geographically and chronologically to the expansion suggested by the archaeological evidence. The exploration of socio-economic outputs permitted the formulation of new hypothesis that could not be made using purely archaeological record. Even when there's a large gap between what is found in archaeology and what is produced by the model, this agent-based modelling approach helps to raise new questions, adding new ideas and perspective to the actual state of research.

Uma questão que ainda instiga discussões na literatura ecológica é como explicar a coocorrência dinâmica e milenar de formações florestais e campestres sob um mesmo regime climático que tende a favorecer as primeiras, como ocorre atualmente com mosaicos florestacampo no sul do Brasil. A partir de meados do século XX, têm-se evidenciado um fenômeno mundial de avanço de elementos lenhosos sobre áreas abertas. Neste sentido, a modelagem dos processos ecológicos envolvidos na manutenção de ambas as formações numa escala de paisagem permite o esclarecimento dos mecanismos que atuam na manutenção dessa coexistência até o presente e permite prever estados futuros diante dos prognósticos de drásticas alterações climáticas globais já nas próximas décadas. Para tanto, desenvolveu-se um modelo espacialmente explícito (2D-aDGVM) que agrega um Modelo Adaptativo Global de Dinâmica de Vegetação (aDGVM) e ainda inclui heterogeneidades topográficas, propagação do fogo e dispersão de sementes. Este modelo busca satisfazer a necessidade de modelagem mais realista de processos biofísicos, fisiológicos e demográficos na escala de indivíduos e relacionados de forma adaptativa às variações ambientais e aos regimes de distúrbios, ao mesmo tempo que agrega importantes processos ecológicos espaciais, até então pouco ou nada abordados por esse grupo de modelos numa escala de paisagem. Com este modelo, avaliaram-se os efeitos das variações topográficas da radiação solar incidente e destas nos mecanismos de interação (feedbacks) positiva e negativa que surgem daqueles processos na escala de indivíduos e que definem localmente os limites da coexistência entre elementos arbóreos e herbáceos. Ainda, foram analisados os efeitos do aumento da temperatura, precipitação e CO2 atmosférico, desde o período pré-industrial até projeções futuras para as próximas décadas, na performance das diferentes fisiologias envolvidas, bem como no balanço daquelas interações entre as mesmas e, finalmente, na sensibilidade da dinâmica dos mosaicos floresta-campo. Os resultados evidenciaram que, sob o regime climático vigente, uma coexistência relativamente estável entre floresta e campo numa mesma paisagem é mantida por uma alta freqüência de distúrbios, que por sua vez, resulta do forte feedback positivo do acúmulo de biomassa inflamável da vegetação campestre na intensidade do fogo, proporcionado pela condição altamente produtiva do atual clima mesotérmico. Por outro lado, intensificadas pela declividade do terreno, as heterogeneidades espaciais afetaram o balanço dessas interações, interferindo nos padrões espaço-temporais relacionados ao comportamento do fogo e dependentes da densidade de elementos arbóreos. Ainda, tanto esses efeitos observados na escala das manchas de vegetação, como o arranjo espacial inicial das mesmas na paisagem, afetaram as taxas de expansão florestal. Em outras palavras, a manutenção da coexistência de duas formações vegetais constituídas por elementos de inerente assimetria competitiva é possível pela manutenção de uma maior conectividade daquela que propicia o distúrbio, superando a vantagem da outra, que por sua vez é dependente da densidade dos indivíduos. Numa escala de paisagem, isto causa a manutenção de uma baixa conectividade entre as manchas florestais, propiciando sua relativa estabilidade num contexto de dispersão predominante a curtas distâncias. Contudo, embora ambos os sistemas tenham apresentado incremento no crescimento, produtividade e fecundidade, observou-se uma sensibilidade maior no sentido de aumento das taxas de avanço florestal em resposta às projeções climáticas futuras, principalmente nos próximos 90 anos, mesmo na presença do fogo. Isto seria proporcionado pela vantagem fotossintética das árvores-C3 sobre gramíneas-C4 na presença do fogo sob altas concentrações de CO2 atmosférico. Por fim, uma abordagem mais sistêmica dos mosaicos como estados alternativos mostrou ser adequada para o entendimento dos mecanismos que propiciam essa coexistência dinâmica na paisagem. / A longstanding problem in ecology is how to explain the coexistence over thousands of years of forests and natural grasslands under the same climatic regime, which favors the first, such as in forest-grasslands mosaics in South Brazil. Since the middle of the 20th century, a worldwide bush encroachment phenomenon of woody invasion in open vegetation has been threatening this relatively stable coexistence. In this sense, modelling ecological processes that arbitrate the maintenance of both vegetation formations at the landscape scale allows a better understanding of the mechanisms behind the maintenance of this coexistence, as well as predictions of future states under projections of drastic climate change over the next decades. For this, we developed a bidimensional spatial explicit model (2D-aDGVM) that aggregates an adaptive Global Vegetation Model (aDGVM), which includes topographic heterogeneity, fire spread and seed dispersal. The model aims at fulfilling the need for a more realistic representation of biophysical, physiological and demographical processes using an individualbased approach as it adapts these processes to environmental variations and disturbance regimes. In addition, the model includes important spatial ecological processes that have gained less attention by such models adopting a landscape-scale approach. Therefore, we evaluated the effect of topographic variations in incoming solar radiation on positive and on negative feedbacks that rise from those individual-based processes, and which in turns define the limiting thresholds upon which woody and grassy forms coexist. Additionally, the effects of increasing temperature, rainfall and atmospheric CO2 levels on the performance of distinct physiologies (C3-tree and C4-grass) were analyzed, as well as the sensitivity of forestgrassland mosaics to changes in climate from the preindustrial period to the next decades. Results showed that a relatively stable coexistence of forests and grasslands in the same landscape was observed with more frequent fires under the present climatic conditions. This was due to strong positive feedbacks of the huge accumulation of flammable grass biomass on fire intensity promoted by the high productivity of the present mesic conditions. On the other hand, spatio-temporal density dependent processes linked to fire and enhanced by slope at the patch scale, as well as the initial spatial arrangement of vegetation patches affected the rate of forest expansion at the landscape scale. The persistence of coexisting vegetation formations with an inherent asymmetry of competitive interactions was possible when the higher connectivity of the fire-prone patches (grassland) affected negatively the performance of the entire fire-sensitive system (forest). This was possible by overcoming its local densitydependent advantage, or by maintaining it with a low connectivity, which is expected to reduce the rate of coalescence of forest patches in a scenario of predominantly short distance dispersal. Despite the increments in biomass production, stem growth and fecundity that were observed in both grassland and forest, climate change increased the rates of forest expansion over grasslands even in presence of fire, and mainly over the next 90 years. This was attributed to a high photosynthetic advantage of C3-trees over C4-grasses in presence of fire under higher atmospheric CO2 levels. Finally, in the face of the general observed tendency of forest expansion over grasslands, the ancient grasslands have persisted as alternative ecosystem states in forest-grassland mosaics. In this sense, exploring this dynamic coexistence under the concept of alternative stable states have showed to be the most appropriate approach, and the outcomes of this novel perspective may highlight the understanding of the mechanisms behind the long-term coexistence.

Uma questão que ainda instiga discussões na literatura ecológica é como explicar a coocorrência dinâmica e milenar de formações florestais e campestres sob um mesmo regime climático que tende a favorecer as primeiras, como ocorre atualmente com mosaicos florestacampo no sul do Brasil. A partir de meados do século XX, têm-se evidenciado um fenômeno mundial de avanço de elementos lenhosos sobre áreas abertas. Neste sentido, a modelagem dos processos ecológicos envolvidos na manutenção de ambas as formações numa escala de paisagem permite o esclarecimento dos mecanismos que atuam na manutenção dessa coexistência até o presente e permite prever estados futuros diante dos prognósticos de drásticas alterações climáticas globais já nas próximas décadas. Para tanto, desenvolveu-se um modelo espacialmente explícito (2D-aDGVM) que agrega um Modelo Adaptativo Global de Dinâmica de Vegetação (aDGVM) e ainda inclui heterogeneidades topográficas, propagação do fogo e dispersão de sementes. Este modelo busca satisfazer a necessidade de modelagem mais realista de processos biofísicos, fisiológicos e demográficos na escala de indivíduos e relacionados de forma adaptativa às variações ambientais e aos regimes de distúrbios, ao mesmo tempo que agrega importantes processos ecológicos espaciais, até então pouco ou nada abordados por esse grupo de modelos numa escala de paisagem. Com este modelo, avaliaram-se os efeitos das variações topográficas da radiação solar incidente e destas nos mecanismos de interação (feedbacks) positiva e negativa que surgem daqueles processos na escala de indivíduos e que definem localmente os limites da coexistência entre elementos arbóreos e herbáceos. Ainda, foram analisados os efeitos do aumento da temperatura, precipitação e CO2 atmosférico, desde o período pré-industrial até projeções futuras para as próximas décadas, na performance das diferentes fisiologias envolvidas, bem como no balanço daquelas interações entre as mesmas e, finalmente, na sensibilidade da dinâmica dos mosaicos floresta-campo. Os resultados evidenciaram que, sob o regime climático vigente, uma coexistência relativamente estável entre floresta e campo numa mesma paisagem é mantida por uma alta freqüência de distúrbios, que por sua vez, resulta do forte feedback positivo do acúmulo de biomassa inflamável da vegetação campestre na intensidade do fogo, proporcionado pela condição altamente produtiva do atual clima mesotérmico. Por outro lado, intensificadas pela declividade do terreno, as heterogeneidades espaciais afetaram o balanço dessas interações, interferindo nos padrões espaço-temporais relacionados ao comportamento do fogo e dependentes da densidade de elementos arbóreos. Ainda, tanto esses efeitos observados na escala das manchas de vegetação, como o arranjo espacial inicial das mesmas na paisagem, afetaram as taxas de expansão florestal. Em outras palavras, a manutenção da coexistência de duas formações vegetais constituídas por elementos de inerente assimetria competitiva é possível pela manutenção de uma maior conectividade daquela que propicia o distúrbio, superando a vantagem da outra, que por sua vez é dependente da densidade dos indivíduos. Numa escala de paisagem, isto causa a manutenção de uma baixa conectividade entre as manchas florestais, propiciando sua relativa estabilidade num contexto de dispersão predominante a curtas distâncias. Contudo, embora ambos os sistemas tenham apresentado incremento no crescimento, produtividade e fecundidade, observou-se uma sensibilidade maior no sentido de aumento das taxas de avanço florestal em resposta às projeções climáticas futuras, principalmente nos próximos 90 anos, mesmo na presença do fogo. Isto seria proporcionado pela vantagem fotossintética das árvores-C3 sobre gramíneas-C4 na presença do fogo sob altas concentrações de CO2 atmosférico. Por fim, uma abordagem mais sistêmica dos mosaicos como estados alternativos mostrou ser adequada para o entendimento dos mecanismos que propiciam essa coexistência dinâmica na paisagem. / A longstanding problem in ecology is how to explain the coexistence over thousands of years of forests and natural grasslands under the same climatic regime, which favors the first, such as in forest-grasslands mosaics in South Brazil. Since the middle of the 20th century, a worldwide bush encroachment phenomenon of woody invasion in open vegetation has been threatening this relatively stable coexistence. In this sense, modelling ecological processes that arbitrate the maintenance of both vegetation formations at the landscape scale allows a better understanding of the mechanisms behind the maintenance of this coexistence, as well as predictions of future states under projections of drastic climate change over the next decades. For this, we developed a bidimensional spatial explicit model (2D-aDGVM) that aggregates an adaptive Global Vegetation Model (aDGVM), which includes topographic heterogeneity, fire spread and seed dispersal. The model aims at fulfilling the need for a more realistic representation of biophysical, physiological and demographical processes using an individualbased approach as it adapts these processes to environmental variations and disturbance regimes. In addition, the model includes important spatial ecological processes that have gained less attention by such models adopting a landscape-scale approach. Therefore, we evaluated the effect of topographic variations in incoming solar radiation on positive and on negative feedbacks that rise from those individual-based processes, and which in turns define the limiting thresholds upon which woody and grassy forms coexist. Additionally, the effects of increasing temperature, rainfall and atmospheric CO2 levels on the performance of distinct physiologies (C3-tree and C4-grass) were analyzed, as well as the sensitivity of forestgrassland mosaics to changes in climate from the preindustrial period to the next decades. Results showed that a relatively stable coexistence of forests and grasslands in the same landscape was observed with more frequent fires under the present climatic conditions. This was due to strong positive feedbacks of the huge accumulation of flammable grass biomass on fire intensity promoted by the high productivity of the present mesic conditions. On the other hand, spatio-temporal density dependent processes linked to fire and enhanced by slope at the patch scale, as well as the initial spatial arrangement of vegetation patches affected the rate of forest expansion at the landscape scale. The persistence of coexisting vegetation formations with an inherent asymmetry of competitive interactions was possible when the higher connectivity of the fire-prone patches (grassland) affected negatively the performance of the entire fire-sensitive system (forest). This was possible by overcoming its local densitydependent advantage, or by maintaining it with a low connectivity, which is expected to reduce the rate of coalescence of forest patches in a scenario of predominantly short distance dispersal. Despite the increments in biomass production, stem growth and fecundity that were observed in both grassland and forest, climate change increased the rates of forest expansion over grasslands even in presence of fire, and mainly over the next 90 years. This was attributed to a high photosynthetic advantage of C3-trees over C4-grasses in presence of fire under higher atmospheric CO2 levels. Finally, in the face of the general observed tendency of forest expansion over grasslands, the ancient grasslands have persisted as alternative ecosystem states in forest-grassland mosaics. In this sense, exploring this dynamic coexistence under the concept of alternative stable states have showed to be the most appropriate approach, and the outcomes of this novel perspective may highlight the understanding of the mechanisms behind the long-term coexistence.