Compreender os mecanismos que causam variações espaço-temporais na diversidade biológica é uma das principais atribuições da ecologia. A teoria clássica de nicho prediz que o gradiente ambiental e sua complexidade mediam processos cruciais na estruturação das assembléias locais, permitindo a coexistência das espécies. A associação entre fatores espaciais e ambientais e diversidade inventário e diversidade diferenciação de mamíferos Neotropicais, tem sido usualmente investigada por estudos de resolução grosseira. Assim, o efeito do gradiente ambiental em resolução fina, ainda é praticamente desconhecido. Neste trabalho, eu investiguei os efeitos de processos ambientais, espaciais e ambientais espacialmente estruturados sobre a diversidade α e β de mamíferos, em uma área de aproximadamente de 1.100,42 km2 no norte do Pantanal, a maior área úmida contínua do planeta. Utilizei um método de análise espacial chamado Análise de Coordenadas Principais de Matrizes Vizinhas e modelos lineares para descrever as contribuições desses processos. Os resultados demostram que fatores ambientais e espaciais, em conjunto, são mais importantes do que os efeitos independentes de cada fator, tanto para a diversidade α quanto para a β. O modelo completo explicou 18% da variação na diversidade α e 41% da variação na diversidade β. A diversidade β estimada foi negativamente relacionada com a diversidade α estimada. A diversidade β observada foi positivamente relacionada com a variação da estrutura de habitas entre sítios, embora o modelo tenha explicado uma porcentagem pequena da variação total. Os dados sugerem que embora os grandes mamíferos neotropicais sejam considerados espécies generalistas, eles não ocorrem de forma homogênea ao longo do gradiente, criado pelo mosaico da paisagem pantaneira, e que o papel da variação de nicho espacial é fundamental para manter a riqueza específica em nível regional. / Comprehending the mechanism that causes spatial-temporal variation in biological diversity is at the core of ecological inquiry. Classical niche theory states that environmental gradient and complexity mediate crucial processes that structure local assemblages, allowing species to co-exist. The association between spatial and environmental factors and mammalian inventory or differentiation diversity in the Neotropics, has been usually investigated by coarse grain studies, thus the effect of fine grain effects on mammalian diversity still largely unappreciated. In this paper, I investigated the effects of environmental, spatial, and spatially structured environmental processes on mammalian α- and β-diversity in an area of approximately 1,100.42 km2 in the northern Pantanal, the largest continuous wetland on Earth. I used a spatial analysis method called Principal Coordinates of Neighbor Matrices analysis and linear models to depict the contributions of these processes. The results show that environmental and spatial factors, jointly, are more important than the independent effects of each factor for both, α- and β-diversity. The full model accounted for 18% of the variation in α- diversity and 41% of the variation in β-diversity. Estimated β-diversity decreased with estimated α-diversity. Observed β-diversity increased with site distinctness, although the model had a poor fit and explained a small amount of the total variance. My data suggests that although most large Neotropical mammals are broadly distributed and considered plastic species, they do not occur homogeneously across the landscape, and that the role of spatial niche is critical to maintain species richness at the landscape level.

Compreender os mecanismos que causam variações espaço-temporais na diversidade biológica é uma das principais atribuições da ecologia. A teoria clássica de nicho prediz que o gradiente ambiental e sua complexidade mediam processos cruciais na estruturação das assembléias locais, permitindo a coexistência das espécies. A associação entre fatores espaciais e ambientais e diversidade inventário e diversidade diferenciação de mamíferos Neotropicais, tem sido usualmente investigada por estudos de resolução grosseira. Assim, o efeito do gradiente ambiental em resolução fina, ainda é praticamente desconhecido. Neste trabalho, eu investiguei os efeitos de processos ambientais, espaciais e ambientais espacialmente estruturados sobre a diversidade α e β de mamíferos, em uma área de aproximadamente de 1.100,42 km2 no norte do Pantanal, a maior área úmida contínua do planeta. Utilizei um método de análise espacial chamado Análise de Coordenadas Principais de Matrizes Vizinhas e modelos lineares para descrever as contribuições desses processos. Os resultados demostram que fatores ambientais e espaciais, em conjunto, são mais importantes do que os efeitos independentes de cada fator, tanto para a diversidade α quanto para a β. O modelo completo explicou 18% da variação na diversidade α e 41% da variação na diversidade β. A diversidade β estimada foi negativamente relacionada com a diversidade α estimada. A diversidade β observada foi positivamente relacionada com a variação da estrutura de habitas entre sítios, embora o modelo tenha explicado uma porcentagem pequena da variação total. Os dados sugerem que embora os grandes mamíferos neotropicais sejam considerados espécies generalistas, eles não ocorrem de forma homogênea ao longo do gradiente, criado pelo mosaico da paisagem pantaneira, e que o papel da variação de nicho espacial é fundamental para manter a riqueza específica em nível regional. / Comprehending the mechanism that causes spatial-temporal variation in biological diversity is at the core of ecological inquiry. Classical niche theory states that environmental gradient and complexity mediate crucial processes that structure local assemblages, allowing species to co-exist. The association between spatial and environmental factors and mammalian inventory or differentiation diversity in the Neotropics, has been usually investigated by coarse grain studies, thus the effect of fine grain effects on mammalian diversity still largely unappreciated. In this paper, I investigated the effects of environmental, spatial, and spatially structured environmental processes on mammalian α- and β-diversity in an area of approximately 1,100.42 km2 in the northern Pantanal, the largest continuous wetland on Earth. I used a spatial analysis method called Principal Coordinates of Neighbor Matrices analysis and linear models to depict the contributions of these processes. The results show that environmental and spatial factors, jointly, are more important than the independent effects of each factor for both, α- and β-diversity. The full model accounted for 18% of the variation in α- diversity and 41% of the variation in β-diversity. Estimated β-diversity decreased with estimated α-diversity. Observed β-diversity increased with site distinctness, although the model had a poor fit and explained a small amount of the total variance. My data suggests that although most large Neotropical mammals are broadly distributed and considered plastic species, they do not occur homogeneously across the landscape, and that the role of spatial niche is critical to maintain species richness at the landscape level.

An island subspecies endemic to the remote St Kilda archipelago, Apodemus sylvaticus hirtensis is considered of national importance but has been little studied, despite its inclusion in the criteria for the islands’ designation as a World Heritage Site. This study expands our knowledge of the core ecology of the mice; distribution, morphology, age structure, breeding phenology, population density, range size, survival and fecundity are all described and quantified using data collected from 4462 captures of 787 individuals between 2009-2012 on three sites (Carn Mor, Glen Bay & Village Bay), 1-2km apart on the main island of Hirta. Morphological analysis confirmed the reputed gigantism the mice, with maximum body weights of 60g for males and 50.5g for a non-gravid female both being approximately double that of a mainland specimen (the heaviest gravid female caught weighed 56g). Sexual dimorphism was evident, with males >1 year old being 8.7% heavier than females on average. Significant geographical variation in size was also found; mice on the seabird breeding colony of Carn Mor were heavier, longer and in better condition than mice elsewhere. Mice were observed to have a well-defined breeding season between April and September, shorter than on the mainland, with most individuals not breeding until their second year and very few surviving two winters. No geographical differences were found in the proportion of adult mice more than a year old that were in breeding condition at any given time, although there were significant geographical differences in the proportion of individuals in breeding condition for ‘young adult’ mice entering their first spring and sub adult mice in the autumn of the year in which they were. Spatially explicit capture-recapture (SECR) methods were used to quantify population densities free from ad hoc methods of trapping area estimation. Temporal variation in population size typical of temperate small mammals was found, with densities as low as 2 mice/ha in spring, increasing through summer and autumn with juvenile recruitment until reaching a peak at the beginning of winter of up to 50 mice/ha. Geographical variation was again observed, with frequent significant differences between trapping sites and an overall trend of highest population densities on the seabird breeding site. Mean individual range sizes varied between 0.3-3.0ha and were largest in Village Bay and in males in breeding condition. Pradel robust design recruitment models were used to quantify monthly survival (0.67-1.00) and fecundity (0.03- 0.41) and overall rate of population change (0.81-1.52) between sessions. Survival varied little between grids outside of the breeding season, but tended to be greater in Carn Mor than Village Bay during the summer. Fecundity rates varied little between years and grids, with one exception where increased summer fecundity followed a severe winter decline on Carn Mor. The possible role of differences in the quality of the food supply (in particular the seabird breeding colony and spatial variation in sheep grazing pressure) on creating geographical variation in body size, condition, breeding phenology, density and population dynamics are discussed in detail, as is the overall pattern of insular traits found in the mice.

Longitudinal data are common in biological research. However, real data sets vary considerably in terms of their structure and complexity and present many challenges for statistical modelling. This thesis proposes a series of methods using random coefficients for modelling two broad types of longitudinal response: normally distributed measurements and binary recapture data. Biased inference can occur in linear mixed-effects modelling if subjects are drawn from a number of unknown sub-populations, or if the residual covariance is poorly specified. To address some of the shortcomings of previous approaches in terms of model selection and flexibility, this thesis presents methods for: (i) determining the presence of latent grouping structures using a two-step approach, involving regression splines for modelling functional random effects and mixture modelling of the fitted random effects; and (ii) flexible of modelling of the residual covariance matrix using regression splines to specify smooth and potentially non-monotonic variance and correlation functions. Spatially explicit capture-recapture methods for estimating the density of animal populations have shown a rapid increase in popularity over recent years. However, further refinements to existing theory and fitting software are required to apply these methods in many situations. This thesis presents: (i) an analysis of recapture data from an acoustic survey of gibbons using supplementary data in the form of estimated angles to detections, (ii) the development of a multi-occasion likelihood including a model for stochastic availability using a partially observed random effect (interpreted in terms of calling behaviour in the case of gibbons), and (iii) an analysis of recapture data from a population of radio-tagged skates using a conditional likelihood that allows the density of animal activity centres to be modelled as functions of time, space and animal-level covariates.

Compreender os mecanismos que causam variações espaço-temporais na diversidade biológica é uma das principais atribuições da ecologia. A teoria clássica de nicho prediz que o gradiente ambiental e sua complexidade mediam processos cruciais na estruturação das assembléias locais, permitindo a coexistência das espécies. A associação entre fatores espaciais e ambientais e diversidade inventário e diversidade diferenciação de mamíferos Neotropicais, tem sido usualmente investigada por estudos de resolução grosseira. Assim, o efeito do gradiente ambiental em resolução fina, ainda é praticamente desconhecido. Neste trabalho, eu investiguei os efeitos de processos ambientais, espaciais e ambientais espacialmente estruturados sobre a diversidade α e β de mamíferos, em uma área de aproximadamente de 1.100,42 km2 no norte do Pantanal, a maior área úmida contínua do planeta. Utilizei um método de análise espacial chamado Análise de Coordenadas Principais de Matrizes Vizinhas e modelos lineares para descrever as contribuições desses processos. Os resultados demostram que fatores ambientais e espaciais, em conjunto, são mais importantes do que os efeitos independentes de cada fator, tanto para a diversidade α quanto para a β. O modelo completo explicou 18% da variação na diversidade α e 41% da variação na diversidade β. A diversidade β estimada foi negativamente relacionada com a diversidade α estimada. A diversidade β observada foi positivamente relacionada com a variação da estrutura de habitas entre sítios, embora o modelo tenha explicado uma porcentagem pequena da variação total. Os dados sugerem que embora os grandes mamíferos neotropicais sejam considerados espécies generalistas, eles não ocorrem de forma homogênea ao longo do gradiente, criado pelo mosaico da paisagem pantaneira, e que o papel da variação de nicho espacial é fundamental para manter a riqueza específica em nível regional. / Comprehending the mechanism that causes spatial-temporal variation in biological diversity is at the core of ecological inquiry. Classical niche theory states that environmental gradient and complexity mediate crucial processes that structure local assemblages, allowing species to co-exist. The association between spatial and environmental factors and mammalian inventory or differentiation diversity in the Neotropics, has been usually investigated by coarse grain studies, thus the effect of fine grain effects on mammalian diversity still largely unappreciated. In this paper, I investigated the effects of environmental, spatial, and spatially structured environmental processes on mammalian α- and β-diversity in an area of approximately 1,100.42 km2 in the northern Pantanal, the largest continuous wetland on Earth. I used a spatial analysis method called Principal Coordinates of Neighbor Matrices analysis and linear models to depict the contributions of these processes. The results show that environmental and spatial factors, jointly, are more important than the independent effects of each factor for both, α- and β-diversity. The full model accounted for 18% of the variation in α- diversity and 41% of the variation in β-diversity. Estimated β-diversity decreased with estimated α-diversity. Observed β-diversity increased with site distinctness, although the model had a poor fit and explained a small amount of the total variance. My data suggests that although most large Neotropical mammals are broadly distributed and considered plastic species, they do not occur homogeneously across the landscape, and that the role of spatial niche is critical to maintain species richness at the landscape level.

La gestion agroécologique durable des paysages agricoles constitue un très fort enjeu social, écologique et économique. Favoriser les différents services écosystémiques que fournissent ces systèmes complexes, caractérisés par une forte variabilité spatio-temporelle liée aux activités anthropiques, est désormais crucial. Le travail développé dans cette thèse s’est focalisé sur les services de régulation des populations de ravageurs, en développant des modèles spatialisés destinés à identifier les interactions entre paysage et populations dans l’optique d’une gestion intégrée du paysage agricole. L’approche conceptuelle utilisée s’est appuyée sur une réflexion sur les choix de niveaux d’organisation et d’échelles spatio-temporelles pertinentes qui a conduit au développement de deux modèles imbriqués : un simulateur de paysages agricoles (ATLAS) reproduisant la variabilité spatio-temporelle des habitats et un automate cellulaire décrivant les dynamiques pluriannuelles d’un puceron des céréales : Rhopalosiphum padi. Une analyse statistique des résultats a permis d’identifier l’effet des différents paramètres du paysage (composition et climat) sur les densités de pucerons à différentes échelles spatiales au cours des saisons. Ont également été évalués les effets potentiels de différents scénarios de gestion plausibles au sein du paysage agricole étudié. Parmi nos résultats, nous identifions que le remplacement du maïs par le sorgho dans le sud-ouest de la France pourrait conduire à une augmentation des densités de R.padi au sein du paysage au printemps, période particulièrement sensible aux infestations. Nous replaçons ce travail dans le cadre plus large de la favorisation des services écosystémiques et apportons des premiers éléments de réflexion pour une gestion durable du paysage agricole; / Sustainable management of agricultural landscapes is a strong social, ecological and economic challenge. Favouring the different ecosystem services provided by these complex systems, characterized by a strong spatio-temporal variability linked to human activity, is by now crucial. The work developed in this thesis has focused on pest population regulation services, by developing spatialized models in order to identify the interactions between the landscape and populations in the context of an integrated management of the agricultural landscape. The conceptual approach we used is based on careful selection of the levels of organization and spatio-temporal scales which lead to the development of two embedded models: an agricultural landscape simulator (ATLAS) reproducing the spatial-temporal variability of habitats and a cellular automaton describing thepluriannual dynamics of a cereal aphid: Rhopalosiphum padi. A statistical analysis of the results highlighted the effects of different landscape parameters (composition and climate) on aphid densities at different spatial scales throughout the seasons. The potential effects of plausible management scenarios were also evaluated. Amongst our results, we identify the replacement of corn by sorghum in the south-western part of France to potentially lead to higher aphid densities within the landscape in spring, which is a season specifically sensible to infestations. We replace this work in the larger context of favouring ecosystem services and propose new ideas for a sustainable management of agricultural landscapes;

Three separate studies of the effect of plant pathogen on population biology of its host are presented in the thesis. Two are using field data about a widespread system of plant Falcaria vulgaris and its systemic rust fungus Puccinia sii-falcariae. The first study shows, that the disease prevalences in 40 populations of the plant were correlated with the moisture, the soil reaction and the cover of the herb layer at the localities. This was probably a result of the interaction of the life history of the plant and different effect the disease has at various localities. Similar pattern was found in the second study that aimed to determine long-term effect of the disease at the population level at four chosen localities over 4-5 years. Population growth rates were only rarely predicted to be higher for the healthy part of the population when compared with the whole population. Other analyses have however found big differences among years and localities. The locality type (slope vs. field populations) was important factor influencing population stage composition and importance of life cycle transitions for the growth of the population. Finally, the last study explores the possibility that systemic infection in clonal plants might be able to select against clonality. The result of the modelling showed that more...

<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>

L'intensification et l'homogénéisation des paysages agricoles a rendu les agrosystèmes plus sensibles aux bioagresseurs. Pour limiter les impacts de ces bioagresseurs sans recourir de manière intensive aux pesticides, une solution efficace est l'utilisation de variétés résistantes. La durabilité de ces résistances peut être faible, en lien avec l'adaptation des populations pathogènes. Il est donc nécessaire de concevoir des systèmes de culture permettant le contrôle des bioagresseurs et la préservation des ressources variétales. Ces stratégies de gestion peuvent reposer sur la combinaison de pratiques agricoles et d'organisation spatiale de ces pratiques, pour des pathosystèmes dont les agents sont dispersés par le vent. D'une part, la conception de ces stratégies peut bénéficier d'une approche participative, prenant en compte les conditions de culture et l'organisation des acteurs locaux. D'autre part, l'évaluation de ces stratégies, dont l'expérimentation est délicate du fait des échelles spatiale et temporelle requises, peut bénéficier d'une approche modélisatrice. Dans ce cadre, ce travail de thèse a mis au point et testé, sur deux régions d'étude, une méthode participative de construction de scénarios d'organisation spatiale des systèmes de culture, évalués vis-à-vis du contrôle du phoma du colza et de la gestion des résistances. Les scénarios co-construits explorent les futurs agricoles possibles en identifiant les tendances possibles d'évolution du contexte (économique, politique, règlementaire, épidémique), de manière prédictive ou plus exploratoire. Ils ont ensuite été évalués numériquement à l'aide d'un modèle préexistant, vis-à-vis de trois critères pertinents pour les acteurs : les pertes de rendement, la taille de la population pathogène et sa structure. Ces scénarios ont ensuite été évalués à l'aide de régressions linéaires, de manière à identifier les pratiques agricoles les plus influentes sur les trois critères d'évaluation considérés. Cette analyse a été réalisée à deux échelles spatiales complémentaires : l'échelle d'une petite région agricole et l'échelle locale, considérant plusieurs centaines de mètres autour des parcelles de colza pouvant être infectées. Ces analyses ont permis de mettre en évidence la prépondérance des rotations, des variétés et de la gestion des résidus de colza dans l'évolution de la maladie et sur la durabilité des résistances. Elles ont également montré la nécessité de prendre en compte plusieurs échelles pour la gestion de la maladie : si la taille de la population pathogène et les pertes de rendement peuvent être déterminées à partir de la composition en termes de systèmes de culture à l'échelle du paysage, une échelle plus locale est nécessaire pour évaluer l'évolution de la structure génétique de la population. Cet indicateur est en effet très lié aux variétés et aux pratiques présentes dans les 500 mètres autour des parcelles porteuses de la résistance considérée. Finalement, l'exploration de règles spatiales (isolement) et temporelles (maximisation des surfaces un an sur deux) des parcelles de colza ou des types variétaux a mis en exergue le fort potentiel de stratégies basées sur ces règles pour la gestion des résistances. La mise en place de ces stratégies nécessiterait une coordination entre les différents acteurs, à l'échelle du territoire agricole, qui pourrait s'avérer nécessaire en cas d'épidémie importante de phoma. La méthode mise en place pourrait être utilisée pour explorer la gestion d'autres thématiques à composante spatiale, comme par exemple l'érosion ou la gestion d'autres bioagresseurs. Ceci pourrait permettre une évaluation multicritère, prenant par exemple en compte les bioagresseurs de différentes cultures composant une même rotation, identifiant ainsi les pratiques les plus à mêmes de gérer simultanément les différentes thématiques locales. / The intensification and the homogenization of agricultural systems led to agrosystèmes that are more sensible to pests and diseases. To limit the impacts of these pests and diseases without increasing pesticides use, an efficient solution is the use of resistant cultivars. Sustainability of these resistances can be low, in link with the adaptation of pathogen populations. It is thus necessary to design cropping systems allowing both the control of pests and diseases and preservation of cultivar resistances. Such management strategies can combine cropping practices and their spatial organization, for pathosystems whose agents are wind-dispersed. The design of these strategies can benefit from participatory approaches, taking into account the local cropping systems and stakeholders' organizations. The evaluation of these strategies, hardly testable in reality due to the spatial and temporal scales involved, can benefit from a modeling approach. Within this scope, this PhD thesis designed and tested, in two study regions, a participatory method of scenarios design, aiming at building with local stakeholders scenarios of spatial organization of cropping systems and to assess them with regards to their performances on phoma stem canker of winter oilseed rape and resistance durability management. Participatory designed scenarios explore agricultural futures that may happen by identifying the possible evolutions of the context (economic, political, regulatory or epidemic), in a predictive or more exploratory way. Scenarios are then evaluated numerically with a pre-existing model, for three criteria relevant for the stakeholders: yield losses, structure and size of the pathogen population. This analysis has been performed at two complementary spatial scales: the regional and the local scale, considering hundreds of meters around fields cropped with sensitive cultivars. These analyses showed the importance of crop rotations, cultivars and tillage for the evolution of the disease and resistance sustainability. These analyses also showed the necessity of taking into account different scales for disease management. Indeed, size of the pathogen population and yield losses are well related to the landscape composition in terms of cropping practices, but a more local scale is necessary for the assessment of the genetic structure of the pathogen population. This indicator is thus significantly linked with the cultivars and cropping practices in the 500 meters around fields cropped with the considered resistance. Finally, we explored spatial (isolation) and temporal rules for rapeseed spatial and temporal allocations that could be used to manage resistance. For these strategies to be applied, coordination between stakeholders at the agricultural territory would be necessary, which could be necessary in case of strong phoma stem canker epidemics. The method we applied could be used to explore other thematic with a spatial component, as for instance pests or erosion. This could allow a multi-criteria analysis, for instance taking into account pathogens of different crops included in a rotation, thus identifying the cropping practices that could promote management of these local problems.

The affect on leaf area index (LAI) and net ecosystem production (NEP) of the mountain pine beetle (Dendroctonus ponderosae) (MPB) outbreak in British Columbia affecting lodgepole pine (Pinus contorta var. latifolia) forests was examined from 1999 to 2008. The process-based carbon (C) cycle model – Boreal Ecosystem Productivity Simulator (BEPS) with remotely sensed LAI inputs was used to produce annual NEP maps, which were validated using field measurements. The annual NEP ranged from 2.43 to -8.03 MtC between 1999 and 2008, with sink to source conversion in 2000. The inter-annual variability for both LAI and NEP displayed initial decreases followed by a steadily increasing trend from 2006 to 2008 with NEP returning to near C neutrality in 2008 (-1.84 MtC). The resistance of LAI and NEP to MPB attack was attributed to ecosystem resilience in the form of secondary overstory growth and increased production of non-attacked host trees.