Black carp consume large quantities of mollusks but food consumption and growth rates have not been studied. Consumption and growth of two sizes of fish fed formulated and natural diets at 20, 25, and 30 C under laboratory conditions were measured. Consumption and growth of fish fed formulated feed increased as temperature increased but followed a convex relationship for fish fed a natural diet. Metabolic and fecal production rates were determined for fish at each temperature. This information was used to develop balanced energy budgets for black carp. Bioenergetic simulation models were constructed to predict consumption and growth in natural systems. Fish inhabiting the Tennessee River and Lake Erie grow faster than fish in other select natural systems of the eastern United States and probably provide a highly satisfactory thermal regime.

Complexity science has come into the limelight in recent years as the scientific community begins to grapple with higher-order natural phenomena that cannot be fully explained via the behaviour of components at lower levels of organization. Network modeling and analysis, being a powerful tool that can capture the interconnections that embody complex behaviour, has therefore been at the forefront of complexity science. In ecology, the network paradigm is relatively young and there remain limitations in many ecological network studies, such as modeling only one type of species interaction at a time, lack of realistic network structure, or non-inclusion of community dynamics and environmental stochasticity. I introduce bioenergetic network models that bring together for the first time many of the fundamental structures and mechanisms of species interactions present in real ecological communities. I then use these models to address some outstanding questions that are relevant to understanding ecological networks at the systems level rather than at the level of subsets of interactions. Firstly, I find that realistic red-shifted environmental noise, and synchrony of species responses to noise, are associated with increased variability in ecosystem properties, with implications for predictive ecological modeling which usually assumes white noise. Next, I look at simultaneous species extinction and invasion, finding that as their individual impacts increase, their combined impact becomes decreasingly additive. In addition, the greater the impact of extinction or invasion, the lesser their reversibility via reintroduction or eradication of the species in question. For modifications of pairwise species interactions by third-party species, a phenomenon that has so far been studied one interaction at a time, I find that the many interaction modifications that occur concurrently in a community can collectively have systematic effects on total biomass and species evenness. Finally, examining a higher level of organization in the form of compartmentalized networks, I find that the relationship between intercompartment connectivity and the impacts of species decline depends considerably on network topology and whether the consumer-resource functional response is prey- or ratio-dependent. Overall, the results vary considerably across model communities with different parameterizations, underscoring the contingency and context dependence of nature that scientists and policy makers alike should no longer ignore. This work hopes to contribute to a growing multidisciplinary understanding, appreciation and management of complex systems that is fundamentally transforming the modern world and giving us insights on how to live more harmoniously within our environment.

Les perturbations auxquelles font face les communautés écologiques, du fait des activités humaines, sont à l'origine de changements profonds dans ces communautés. Nombreuses caractéristiques des espèces sont altérées, de leur physiologie à leur occurrence même. Ces changements se répercutent sur la composition, la diversité et la structure des communautés, puisque les espèces n'interagissent pas tout le temps de la même manière en fonction des conditions. Prévoir le devenir de ces communautés émergentes, et des fonctions qu'elles soutiennent est un défi central de l'écologie et de nos sociétés. Différents cadres conceptuels ont été utilisés pour relever ce défi, basés sur différents mécanismes écologiques, et ont divergé en plusieurs domaines. D'un côté, l'analyse des chaînes trophiques utilise la consommation pour expliquer les effets de la diversité verticale (le nombre de niveaux trophiques) sur le fonctionnement, et de l'autre côté, les analyses biodiversité-fonctionnement lient compétition et effets de la diversité horizontale (la diversité au sein des niveaux trophiques isolés). Chacun de ces domaines a produit des résultats clés pour comprendre les conséquences fonctionnelles des changements de composition et diversité des communautés écologiques. Cependant, ils sont chacun basés sur différentes simplifications fortes des communautés. L'hypothèse qui sous-tend cette thèse est que la réconciliation en un même cadre de travail des résultats fondamentaux de ces champs conceptuels divergents, ainsi que des effets des changements de structure de la biodiversité, est une étape clé pour pouvoir améliorer notre compréhension du fonctionnement de communautés écologiques en changement. L'essor récent des méthodes d'analyse des réseaux trophiques, et des modèles permettant de simuler le fonctionnement de ces réseaux trophiques offre un cadre idéal pour cette réconciliation. En effet, les réseaux trophiques cartographient les échanges de matière entre toutes les espèces d'une communauté, permettant la mise en place d'interactions variées. Ils reflètent mieux la réalité complexe des communautés que les chaînes trophiques ou leurs niveaux trophiques isolés en intégrant notamment compétition et consommation. Un modèle ressource-consommateur bioénergétique classique, développé par Yodzis et Innes (1992), permet d'en simuler le fonctionnement, en intégrant des mécanismes et taux testés empiriquement. Au-delà d'utiliser ces outils, cette thèse se concentre aussi sur leur évaluation. Après un premier chapitre d'introduction, le second chapitre propose une plateforme ouverte, commune, solidement testée et efficace pour l'utilisation du modèle bioénergétique, permettant ainsi une synthèse plus rapide et aisée des résultats. Le troisième chapitre est une revue du corpus méthodologique d'analyse des réseaux trophiques, proposant une gamme de méthodes robustes et informatives, et soulignant leur domaine d'application et leurs limites. Enfin le quatrième chapitre met ce cadre méthodologique à l'épreuve. Dans ce chapitre, nous montrons l'existence d'une relation entre la complexité de la structure du réseau trophique des communautés et leur régime de fonctionnement, se traduisant par la réalisation de différentes prédictions issues de l'analyse des chaînes trophiques ou des analyses diversité-fonctionnement. Cette mise en évidence des conditions structurelles pour la réalisation de différentes prédictions nous permet de mieux comprendre quels mécanismes écologiques prédominent selon différentes conditions, dirigeant l'effet de la diversité sur le fonctionnement. / Human-driven disturbances are causing profound changes in ecological communities, as many characteristics of species are altered, from their physiology to their very occurrence. These changes affect the composition, diversity and structure of communities, since species do not always interact in the same way under different conditions. Predicting the fate of these emerging communities, and the functions they support, is a central challenge for ecology and our societies. Diverging conceptual frameworks have been used to address this challenge, based on different ecological mechanisms. On the one hand, food chain analysis uses consumption to explain the effects of vertical diversity (the number of trophic levels) on functioning, and on the other hand, biodiversity-functioning analyses link competition and the effects of horizontal diversity (diversity within isolated trophic levels). Each of these domains has produced key results for understanding the functional consequences of changes in the composition and diversity of ecological communities. However, they are each based on different strong simplifications of communities. The hypothesis underlying this thesis is that reconciling the fundamental results of these divergent conceptual fields, as well as the effects of changes in the structure of biodiversity, into a single framework is a key step towards improving our understanding of the functioning of changing ecological communities. The recent development of food web analysis and of models to simulate food webs functioning provides an ideal framework for this reconciliation. Food webs map the exchange of matter between all species in a community, allowing for a variety of interactions to take place. They better reflect the complex reality of communities than food chains or their isolated trophic levels, notably by integrating competition and consumption. A classical consumer-resource bioenergetic model developed by Yodzis and Innes (1992) specifically makes it possible to realistically simulate their functioning, using empirically tested mechanisms and rates. Beyond using these tools, this thesis focuses on their evaluation and implementation. After a first, introductory chapter, the second chapter proposes an open, common, well-tested and efficient platform for the use of the bioenergetic model, allowing a faster and easier synthesis of the results. The third chapter is a review of the methodological corpus for ecological networks analysis, outlining a range of robust and informative methods, and highlighting their scope and limitations. Finally, the fourth chapter puts this methodological framework to the test. In this chapter, we show the existence of a relationship between the complexity of communities' food-web structure and functioning regime, resulting in the realization of different predictions from food chain analysis or diversity-functioning analyses. This demonstration of the structural conditions for the realization of different predictions allows us to better understand which ecological mechanisms predominate under different conditions, directing the effect of diversity on functioning.

Body size explains much of the interspecific variation in the physiology, behavior, and morphology of birds, such as metabolic rate, diet selection, intake rate, gut size, and bill size. Based on mass-specific metabolic requirements and relative energetic costs of activities, being a certain body size has both advantages and disadvantages. In particular, avian herbivores such as geese possess a relatively simple digestive system, consume foods with low digestibility and poor nutrient content, and have increased energetic demands compared to other bird taxa; therefore, any effects of body size on foraging strategies should be readily apparent in this foraging guild. The influence of body size on the behavior and management of Canada Geese (Branta canadensis) and Cackling Geese (B. hutchinsii) as avian herbivores has not been well studied. My dissertation explores the role of body size in comparative foraging behavior, habitat selection, and winter conservation planning for two congeneric geese, the Dusky Canada Goose (B. c. occidentalis; hereafter Duskys) and the Cackling Goose (B. h. minima; hereafter Cacklers). These two taxa share the same over-winter foraging environment (grass seed fields) in the same restricted geographic area (the Willamette Valley) during winter. Duskys and Cacklers differ by more than a factor of two in body size and have different relative bill sizes and social organization. Because of smaller body size, Cacklers have greater relative energy demands and less fasting endurance compared to Duskys; however, Cacklers have comparatively low energetic costs for flight and transport. Duskys, however, have higher total energy requirements than Cacklers. Additionally, Cacklers form large, high-density flocks and have a total over-wintering population size in the study area of about 200,000. Duskys occur in relatively small family groups and have a total over-wintering population size of about 13,000. My study demonstrated that interspecific differences in body size between Cacklers and Duskys was associated with differences in foraging behavior, movements, and habitat selection. Cacklers foraged a greater percentage of time (30%) in all habitats and across the entire winter compared to Duskys. Cacklers had higher peck rates (up to 100 pecks min⁻¹ greater) than Duskys in all foraging habitats expect pasture. The pecking rate of Cacklers was greatest in fields of young grass (200 pecks min⁻¹), which may indicate that Cacklers had relatively high intake rates in this foraging habitat. Based on differences in foraging behavior among habitats, Cacklers may have the foraging strategy of energy intake maximizers, whereas the foraging strategy of Duskys is more towards time-energy expenditure minimizers, at least for part of the winter. Cacklers moved across the landscape very differently from Duskys, exhibiting less site fidelity and greater commuting distances to foraging areas. Cacklers showed a preference for young grass during all periods of the winter, reaffirming that Cacklers are specialized grazers on short green forage, whereas Duskys preferred young grass and pasture. Fields of young grass were the preferred foraging habitat of Cacklers, had less standing crop biomass, and may have enabled higher foraging efficiencies, which may have led to higher intake rates. The ability of the landscape to support wintering geese changed across the winter because total available plant biomass fluctuated with the rate of grass regrowth. The estimated carrying capacity of the landscape for geese decline by almost one-half during mid-winter (mid-December to mid-February) compared to early winter or late winter periods. Although Cacklers have lower individual energy requirements compared to Duskys, due to a much larger target population size, Cacklers required 89% more foraging habitat than Duskys. Forage requirements encountered a bottleneck during mid-winter, when grass regrowth rates were low and day length was short. Commensurate with this pattern of forage availability, goose body condition declined during the mid-winter period. To support Pacific Flyway target populations for geese, approximately 18,000 ha of total grazing habitat in young and mature grass is needed in the Willamette Valley to support a total over-wintering population composed of 340,000 geese belonging to four subspecies. The role of body size in influencing the foraging behavior and decisions of over-wintering geese has important implications for conservation planning of goose populations. Small-bodied Cacklers are selective in field choice, yet more likely to redistribute across the landscape. Disturbances (e.g., hunting, hazing, or predation) will have a disproportionate effect on the movements of smaller-bodied geese compared to larger geese. These characteristics of Cacklers will make conservation planning to retain geese on public land more difficult. Coordinated management with private landowners and farming practices that maximize preferred goose foraging habitat on public lands may attract geese to utilize protected areas and minimize conflicts with agriculture in the Willamette Valley. Availability of resources during critical periods in winter is an important factor affecting the distribution of geese, but may affect small and large bodied geese differently. Management could be targeted during these critical time periods. By considering the role of body size in the context of life history characteristics, foraging behavior and habitat selection, appropriate management strategies can be developed and implemented to reduce the effects of agricultural depredation by geese, while promoting the future conservation of wintering geese in the Willamette Valley. / Graduation date: 2013