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Interactions trophiques au sein des communautés bentho-demersales : Influence de la disponibilité alimentaire sur la capacité d’accueil des nourriceries côtières de juvéniles de poissons / Trophic interactions within bentho-demersal communities : influence of the food availability on the carrying capacity of juvenile fish coastal nurseries.Tableau, Adrien 05 March 2015 (has links)
Les habitats côtiers à fonds meubles sont essentiels dans le cycle de vie de nombreuses espèces de poissons. Ces habitats ont pour caractéristique d’être peu étendus mais sont aussi très productifs et jouent à ce titre un rôle de nourricerie pour les juvéniles de poissons bentho-démersaux. Les fortes abondances de proies semblent être l’une des raisons principales de la présence des juvéniles au sein de ces habitats. Bien que déjà étudié, le caractère limitant de la nourriture disponible fait toujours l’objet de débats dans la communauté scientifique. Une des raisons principales est que l’étude des milieux côtiers est rendue complexe par la diversité des facteurs entrant en jeu dans le développement des jeunes stades de poissons. A partir du cas d’étude de la baie de Vilaine, une des nourriceries les plus productives du golfe de Gascogneles recherches menées dans cette thèse visent à définir le rôle du facteur alimentaire dans l’organisation de la nourricerie et dans sa capacité à soutenir le développement des juvéniles de poissons. Le fil conducteur de cette thèse est donc de déterminer si le facteur alimentaire limite la production de juvéniles. Les résultats montrent une forte exploitation de la production alimentaire ainsi qu'une superposition spatiale entre les densités de juvéniles de poissons et de leurs proies. La cohérence de ces résultats tend à soutenir l'hypothèse que la capacité d'accueil de la baie de Vilaine est atteinte et donc que le facteur alimentaire est limitant. Les implications de ce mécanisme de régulation sur la dynamique des populations nourricer / Soft sediment coastal habitats are essential in the life cycle of numerous fishes. These habitats are spatially-limited but very productive, and play a key role of nursery for the juveniles of benthic and demersal fishes. High abundance of prey seems to be one of the main reasons of the presence of juvenile fish within these habitats. Although widely studied, the limiting aspect of the feeding factor is still debated in the scientific community. One of the main reasons is that studying coastalhabitats is complex because numerous factors influence the development of the first life stages of fish. From the study case of the Bay of Vilaine, one of the most productive nurseries of the Bay of Biscay, research conducted in this thesis aims to define the role of the feeding factor in the organisation of the nursery and in its capacity to support the development of juvenile fish. The common thread of this thesis is thus to determine if the feeding factor limits the juvenile fish production. The results show a strong exploitation of the food production by the juvenile fish community and a spatial match between the densities of juvenile fish and their prey. The consistency of these results tends to support that the hypothesis that the carrying capacity of the Bay of Vilaine is reached, and that the feeding factor is limiting. The consequences of this regulation process on the dynamics of nursery-dependent fish populations are discussed.
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Effects of Catastrophic Seagrass Loss and Predation Risk on the Ecological Structure and Resilience of a Model Seagrass EcosystemNowicki, Robert J. 07 November 2016 (has links)
As climate change continues, climactic extremes are predicted to become more frequent and intense, in some cases resulting in dramatic changes to ecosystems. The effects of climate change on ecosystems will be mediated, in part, by biotic interactions in those ecosystems. However, there is still considerable uncertainty about where and how such biotic interactions will be important in the context of ecosystem disturbance and climactic extremes.
Here, I review the role of consumers in seagrass ecosystems and investigate the ecological impacts of an extreme climactic event (marine heat wave) and subsequent widespread seagrass die-off in Shark Bay, Western Australia. Specifically, I compare seagrass cover, shark catch rates, and encounter rates of air breathing fauna in multiple habitat types before and after the seagrass die-off to describe post-disturbance dynamics of the seagrass community, shifts in consumer abundances, and changes in risk-sensitive habitat use patterns by a variety of mesoconsumers at risk of predation from tiger sharks (Galeocerdo cuvier). Finally, I conducted a 16 month field experiment to assess whether xi loss of top predators, and predicted shifts in dugong foraging, could destabilize remaining seagrass.
I found that the previously dominant temperate seagrass Amphibolis antarctica is stable, but not increasing. Conversely, an early-successional tropical seagrass, Halodule uninervis, is expanding. Following the die-off, the densities of several consumer species (cormorants, green turtles, sea snakes, and dugongs) declined, while others (Indo-Pacific bottlenose dolphins, loggerhead sea turtles, tiger sharks) remained stable. Stable tiger shark abundances following the seagrass die-off suggest that the seascape of fear remains intact in this system. However, several consumers (dolphins, cormorants) began to use dangerous but profitable seagrass banks more often following seagrass decline, suggesting a relaxation of anti-predator behavior. Experimental results suggest that a loss of tiger sharks would result in a behaviorally mediated trophic cascade (BMTC) in degraded seagrass beds, further destabilizing them and potentially resulting in a phase shift. My work shows that climactic extremes can have strong but variable impacts on ecosystems mediated in part by species identity, and that maintenance of top predator populations may by important to ecological resilience in the face of climate change.
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Harvesting in the Predator - Prey Model / Těžba v Predator-Prey modeluChrobok, Viktor January 2009 (has links)
The paper is focused on the Predator-Prey model modified in the case of harvesting one or both populations. Firstly there is given a short description of the basic model and the sensitivity analysis. The first essential modification is percentage harvesting. This model could be easily converted to the basic one using a substitution. The next modification is constant harvesting. Solving this system requires linearization, which was properly done and brought valuable results applicable even for the basic or the percentage harvesting model. The next chapter describes regulation models, which could be used especially in applying environmental policies. All reasonable regulation models are shown after distinguishing between discrete and continuous harvesting. The last chapter contains an algorithm for maximizing the profit of a harvester using econometrical modelling tools.
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An Individual-based Model Approach for the Conservation of the Sumatran Tiger Panthera tigris sumatrae Population in Central SumatraImron, Muhammad Ali 17 February 2011 (has links)
This dissertation demonstrates the construction of the Panthera Population Persistence (PPP), an individual-based model for the Sumatran tiger (Panthera tigris sumatrae) which provides proper theoretical and application frameworks for the conservation of this tiger sub-species in central Sumatra. The PPP model was developed to gain insight into tiger-preyhabitat relationships as well as the effect of human impacts on the persistence of tiger populations. The model addresses three main problems for the survival of the Sumatran tiger: tiger poaching, prey depletion, and habitat loss.
The description of the PPP model serves as an in-depth study of existing literature and covers the most important factors of existing models for tiger conservation. Existing modelling approaches have been improved by the inclusion of finer description of individual-level traits and behaviours in the PPP model. The modelling approach allows a direct inter-relationships between individuals and their environment. The relationship between individual behaviours, intrinsic states, and external factors are simulated spatially explicitly in a bottom-up approach where the emergence of the population dynamics of tiger and prey can be observed under different scenarios. The integration between the PPP model and geographical information system (GIS) has provided a much more meaningful spatial data by revealing the mechanism of the response of individuals to the present land-use types.
The relative importance of the parameters within the PPP model was tested using two modes of sensitivity analysis: The Morris Method and
the traditional One-factor-at-a-time method. The results provided guidance for the application of reasonable sensitivity analysis during the development of individual-based models. The Morris Method suggested that the overall output of the PPP model showed a high sensitivity on the change of time required by a tigress to take care of cubs. The analysis also revealed that the number of dispersers was sensitive toward perceptual distance of individuals to detect the presence of prey. Comparison with a similar predator-prey models provided insight into the predator-prey relationship. The comparison also suggested that perceptual distance of the individual is important for any spatially explicit individual-based model involving predator-prey relationships. The parameterization of the individual perceptual distance of tigers was tested by using existing literature on prey
consumption by tigers as a benchmark. The simulation results were within the range of scientific acceptance for the number of prey killed by a tiger. Thus, further use of the set of parameters for a tiger’s perceptual distance is less uncertain for the output of the PPP model.
The effect of habitat quality and landscape configuration on the mortality and migration of prey were evaluated through the use of virtual habitats and landscapes. The findings suggested that a good habitat quality enables prey survival, increases the population available for predation by tigers. When a low-quality habitat is combined with a high-quality habitat, the number of migrating prey was high, reducing resources for tigers. This suggested that landscape composition should be considered when predicting population persistence of the Sumatran tiger. Optimal movement of two different prey resulted in a high density of prey in high-quality habitat, providing a concentration of prey in a tiger’s habitat, but resulted in a lower tiger predation rate than random movement and species specific movement.
The PPP model has been applied to evaluate the effect of poaching, prey depletion, and their combination for the probability of extinction of a tiger population. The results from the evaluation showed that prey depletion, tiger poaching, and a combination of both, created a 100% probability of extinction within 20 years if the density and frequency of those threats at high rates. However, the duration of those threats in the system caused a 100% probability of extinction from tiger poaching. The results are able to contribute to optimize anti-poaching programs in future, to reduce significantly the probability of total extinction of Sumatran tiger.
Furthermore, various landscape configurations have been tested against the probability and time of extinction for the Sumatran tiger population. The integration of spatial GIS-data in the model provides an insight into the relationship between tiger-prey-habitat. The results suggested that habitat quality surrounding a protected area plays an important role for the persistence of the Sumatran tiger population. This study also recommends agroforestry systems as reasonable land-use type in the vicinity of protected areas. They provide not only positive effects for tiger conservation purpose but they also appear as adaptable to the current land-use situation in Sumatra island.:Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Zusammenfassung . . . . . . . . . . . . . . . . . . . . . . . . . . 6
Acknowledgement . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
Table of Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Contents 12
1 Introduction 15
1.1 Cornerstones of Sumatran Tiger Conservation . . . . . . . . 16
1.2 Scientific Challenges to Tiger Conservation . . . . . . . . . 22
1.3 Roles of Modelling in Tiger Conservation . . . . . . . . . . 26
1.4 Individual-Based Models for Tiger Conservation . . . . . . . 30
1.5 Research Questions . . . . . . . . . . . . . . . . . . . . . . . 31
1.6 Thesis Structures . . . . . . . . . . . . . . . . . . . . . . . . 32
2 Literature Review 34
2.1 Fragmentation and Population Dynamics . . . . . . . . . . . 35
2.2 Population Extinction and its measures . . . . . . . . . . . 37
2.3 Modelling the Effect of Fragmentation on Population Dynamics
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
2.4 Individual-Based Modelling of Population Persistence . . . . 51
2.5 Sensitivity Analysis in Individual-based Model . . . . . . . . 53
3 Methods ..........................................................................55
3.1 Study Area . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
3.2 Model Description . . . . . . . . . . . . . . . . . . . . . . . 56
3.3 Land-use Map Development . . . . . . . . . . . . . . . . . . 68
3.4 Model Analysis . . . . . . . . . . . . . . . . . . . . . . . . . 69
4 Results 73
4.1 Structure and Sensitivity Analysis of Individual-based Predator-
Prey Models . . . . . . . . . . . . . . . . . . . . . . . . . . . 74
4.2 Where to Go and How to Hide? Measuring the Relative
Effect of Movement Decisions, Habitat Quality, and Landscape
Configuration on theMortality andMigration of Tigers’
Prey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95
4.3 The Extinction Potential of a Sumatran Tiger Population
after the Removal of Poaching . . . . . . . . . . . . . . . . . 117
4.4 The Influence of Agroforest and Other Land-use Types on
the Persistence of a Sumatran tiger (Panthera tigris suma-
trae) Population: An Individual-Based Model Approach . . 135
5 General Discussion 159
5.1 Main results . . . . . . . . . . . . . . . . . . . . . . . . . . . 160
5.2 Discussion of the results . . . . . . . . . . . . . . . . . . . . 161
6 Conclusions and Perspectives 170
6.1 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . 170
6.2 Perspectives for Future Research . . . . . . . . . . . . . . . 171
Bibliography 174
Appendices 191 / Die vorliegende Dissertation beschreibt die Entwicklung des Panthera Populations Persistence (PPP) Modells, eines individuenbasierten Simulationsmodells für den Sumatra-Tiger (Panthera tigris sumatrae). Dieses stellt einen geeigneten theoretischen und anwendungsbezogenen Rahmen für den Schutz dieser Tiger-Unterart in Zentralsumatra bereit. Das PPP-Modell wurde entwickelt, um Einblicke in die Tiger-Beute-Habitat-Beziehungen zu gewinnen, sowie um den Effekt anthropogener Einflüsse auf den Fortbestand von Tigerpopulationen abzuschätzen. Dabei werden die drei Hauptprobleme
für das Überleben des Sumatra-Tigers analysiert: die Wilderei, der Rückgang von Beutetieren und der Verlust von geeigneten Habitaten.
Die Beschreibung des PPP-Modells gibt zunächst einen umfassenden Überblick zum aktuellen Wissensstand auf dem Gebiet des Tigerschutzes und integriert die wichtigsten Faktoren bereits existierender Modellansätze. Diese konnten durch die Einbeziehung einer detaillierten Beschreibung von individuellen Merkmalen und Verhalten verbessert werden. Das PPPModell stellt somit das Individuum in einen direkten Zusammenhang mit dessen Umwelt. Die Beziehung zwischen individuellem Verhalten, intrinsischen Merkmalen und externen Faktoren werden räumlich-explizit in einem bottom-up Ansatz simuliert. Damit kann sowohl die Populationsdynamik des Tigers als auch die seiner Beutetiere unter verschiedenen Annahmen beobachtet werden. Die Verknüpfung des PPP-Modells mit Geographischen Informationssystemen (GIS) bietet die Möglichkeit, die
Reaktionsmechanismen der Individuen basierend auf der gegenwärtigen Landnutzungssituation zu simulieren und somit realitätsnahe räumliche Daten zu generieren.
Die relative Bedeutung der Modell-Parameter auf die Simulationsergebnisse kann durch Sensitivitätsanalysen ermittelt werden. Hier wurden zwei verschiedene Ansätze verwendet: die Morris-Methode und die herkömmliche One-factor-at-a-time Methode. Der Vergleich beider methodischen Ansätze zeigte somit beispielhaft die Eignung unterschiedlicher Sensitivitätsanalysen für individuenbasierte Modelle auf. Die Morris-Methode zeigte, dass das Gesamtergebnis des PPP-Modells eine hohe Sensitivität gegenüber der Veränderung der Zeit aufweist, die ein Tigerweibchen braucht, um ihre Jungen aufzuziehen. Die Analyse zeigt auch, dass die Anzahl an abwandernden Tigern sensitiv gegenüber der IndividuellenWahrnehmungsdistanz von Beute ist. Der Vergleich mit einem ähnlichen Räuber-Beute-Modell lässt vermuten, dass diese Wahrnehmungsdistanz eines Individuums generell als ein entscheidender Faktor für Räuber-Beute-Beziehungen in räumlich-expliziten Individuenmodellen an- gesehen werden kann. Die
Parametrisierung der IndividuellenWahrnehmungsdistanz des Tigers wurde so gewahlt, dass die damit ermittelten Simulationsergebnisse den Beutekonsum des Tigers, wie in der Literatur beschrieben, weitgehen widerspiegeln. Sie ist somit für die weitere Anwendung im PPP-Modell ausreichend gut beschrieben.
Simulationsszenarien, welche verschiedene Habitatqualitäten sowie Landnutzungsmuster berücksichtigen, zeigen auch deren Bedeutung für die Mortalität und Migration der Beutetiere. Eine gute Habitatqualität hat eine geringe Mortalität der Beutetiere zur Folge, welche dann wiederum für den Tiger in ausreichender Zahl zur Verfügung stehen. Treten geringe Habitatqualitäten angrenzend an ein Habitat mit hoher Qualität auf, führte dies zu einer hohen Anzahl an abwandernden Beutetieren, womit sich die Ressourcen für den Tiger verringern. Die Landschaftsmerkmale sollten also bei der Vorhersage des Populationsfortbestandes des Sumatra-Tigers berücksichtigt werden. Die optimale Bewegung von zwei verschiedenen Beutetieren ergab eine hohe Beutedichte in einem Habitat mit hoher Qualität und stellte konzentriert Beute in einem Tigerhabitat bereit. Allerdings resultierte dies auch in einer geringeren Prädationsrate des Tigers,
verglichen mit zufälligen oder artenspezifischen Bewegungen.
Das PPP-Modell wurde angewandt, um die Auswirkungen von Wilderei,
Beutetierrückgang sowie die Kombination beider Faktoren auf die Aussterbewahrscheinlichkeit einer Tigerpopulation zu bewerten. Die Ergebnisse zeigen, dass die genannten Faktoren eine 100-prozentige Aussterbewahrscheinlichkeit innerhalb von 20 Jahren zur Folge haben, wenn die Dichte und Häufigkeit dieser Bedrohungen hoch sind. Die Dauer dieser Bedrohungen im System verursachte allerdings eine 100-prozentige Aussterbewahrscheinlichkeit nur für die Wilderei von Tigern. Betrachtet man unabhängig von Dichte und Häufigkeit einzig die Dauer der Bedrohung, führt lediglich die Wilderei zum 100%-igen Aussterben. Diese Ergebnisse können maßgeblich dazu beitragen, zukünftig Schutzprogramme gegen die Wilderei zu optimieren, um das Aussterben des Sumatra-Tigers zu verhindern.
DesWeiteren wurde der Einfluss von unterschiedlichen Landnutzungsmustern auf die Aussterbewahrscheinlichkeit und -zeit einer Sumatra-Tigerpopulation
aufgezeigt. Die Integration von räumlichen GIS-Daten in das Modell ermöglichte einen Einblick in die Beziehungen zwischen Tiger, Beutetieren und Habitat. Die Ergebnisse zeigen, dass die Habitatqualität um Schutzgebiete herum eine wichtige Rolle für den Fortbestand der Population spielt. Die vorliegende Arbeit empfiehlt Agroforstsysteme als eine geeignete Landnutzungsform in der Nähe von Schutzgebieten, welche sowohl positive Effekte für den Tigerschutz bietet als auch mit den gegenwärtigen Landnutzungsmustern in Sumatra vereinbar erscheint.:Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Zusammenfassung . . . . . . . . . . . . . . . . . . . . . . . . . . 6
Acknowledgement . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
Table of Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Contents 12
1 Introduction 15
1.1 Cornerstones of Sumatran Tiger Conservation . . . . . . . . 16
1.2 Scientific Challenges to Tiger Conservation . . . . . . . . . 22
1.3 Roles of Modelling in Tiger Conservation . . . . . . . . . . 26
1.4 Individual-Based Models for Tiger Conservation . . . . . . . 30
1.5 Research Questions . . . . . . . . . . . . . . . . . . . . . . . 31
1.6 Thesis Structures . . . . . . . . . . . . . . . . . . . . . . . . 32
2 Literature Review 34
2.1 Fragmentation and Population Dynamics . . . . . . . . . . . 35
2.2 Population Extinction and its measures . . . . . . . . . . . 37
2.3 Modelling the Effect of Fragmentation on Population Dynamics
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
2.4 Individual-Based Modelling of Population Persistence . . . . 51
2.5 Sensitivity Analysis in Individual-based Model . . . . . . . . 53
3 Methods ..........................................................................55
3.1 Study Area . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
3.2 Model Description . . . . . . . . . . . . . . . . . . . . . . . 56
3.3 Land-use Map Development . . . . . . . . . . . . . . . . . . 68
3.4 Model Analysis . . . . . . . . . . . . . . . . . . . . . . . . . 69
4 Results 73
4.1 Structure and Sensitivity Analysis of Individual-based Predator-
Prey Models . . . . . . . . . . . . . . . . . . . . . . . . . . . 74
4.2 Where to Go and How to Hide? Measuring the Relative
Effect of Movement Decisions, Habitat Quality, and Landscape
Configuration on theMortality andMigration of Tigers’
Prey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95
4.3 The Extinction Potential of a Sumatran Tiger Population
after the Removal of Poaching . . . . . . . . . . . . . . . . . 117
4.4 The Influence of Agroforest and Other Land-use Types on
the Persistence of a Sumatran tiger (Panthera tigris suma-
trae) Population: An Individual-Based Model Approach . . 135
5 General Discussion 159
5.1 Main results . . . . . . . . . . . . . . . . . . . . . . . . . . . 160
5.2 Discussion of the results . . . . . . . . . . . . . . . . . . . . 161
6 Conclusions and Perspectives 170
6.1 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . 170
6.2 Perspectives for Future Research . . . . . . . . . . . . . . . 171
Bibliography 174
Appendices 191
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Abundance and predatory impact of killer whales at Marion IslandReisinger, Ryan Rudolf 30 August 2011 (has links)
Killer whales are the oceans’ apex predator and are known to have important effects on ecosystems. At Subantarctic Marion Island, southern Indian Ocean, they have only been studied opportunistically, resulting in limited knowledge of their ecosystem impact here. This dissertation describes the prey and seasonal abundance, estimates the population size and assesses the predatory impact of killer whales on seals and penguins at Marion Island, using dedicated and opportunistic shore-based observations and photographic identification, from 2006 to 2009. During 823 sightings of killer whales at Marion Island (2006 to 2009) 48 predation events were recorded; in only 10 cases could prey be identified. Killer whales fed on fur seals, elephant seals and penguins. Constant effort (dedicated) observations (259 hours, 2008 to 2009) showed that killer whale abundance, which peaked in September to December with a secondary peak in April to May, is linked to the abundance of seals and penguins. Mark-recapture analyses were performed using nearly 10 000 photographs taken from 2006 to 2009. Following careful quality control criteria 37 individuals were identified and a population size of 42 (95% CI = 35-50) individuals estimated using the open population POPAN parameterization in the software program MARK. The analytical approach is more rigorous than that used in any previous population size assessment at Marion Island. Finally, the above data were integrated to assess whether top-down control of seal and penguin populations at Marion Island is generally plausible using a simple process of elimination. Based on published data I predicted the energetic ingestion requirements of adult male and female killer whales as 1 394 MJ.day-1 and 1 028 MJ.day-1, respectively. Expanding these requirements to the 37 killer whales photographically identified at Marion Island, the population requires 40 600MJ.day-1. Based on available energy density and mass data, I predicted the energy content of available seal and penguin prey and calculated the rates at which killer whales would consume these prey in various scenarios. Penguins and Subantarctic fur seals are relatively insensitive to killer whale predation owing to their large population sizes (10 000s to 100 000s), conversely, the smaller populations (100s to 1 000s) of Antarctic fur seals and southern elephant seals are sensitive to predation, particularly the latter as they have a high energy content (approximately 2 000 to 9 000 MJ). Populations of these seals are currently increasing or stable and I conclude that presently killer whale predation is not driving population declines, although they clearly have the potential for regulation of these smaller populations. Thus, if population sizes were reduced by bottom-up processes, if killer whale diet shifted, or if prey availability changed, top-down control by killer whales could become significant. This study provides baseline information for the informed management and conservation of killer whales at Marion Island, identifies avenues for further research, and provides a foundation for the continuation of structured and dedicated killer whale research at Marion Island. / Dissertation (MSc)--University of Pretoria, 2011. / Zoology and Entomology / unrestricted
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Анализ стохастических моделей взаимодействия популяций : магистерская диссертация / Analysis of stochastic models populations interactionsАбрамова, Е. П., Abramova, E. P. January 2020 (has links)
В работе рассматриваются двумерная популяционная модель типа «хищник–жертва» с учетом конкуренции жертв и конкуренции хищников за отличные от жертв ресурсы, а также трехмерная популяционная модель типа «хищник–две жертвы» с учетом внутривидовой и межвидовой конкуренции жертв и конкуренции хищников за отличные от жертв ресурсы. Проводится анализ существования и устойчивости аттракторов моделей, строятся бифуркационные диаграммы и типичные фазовые портреты. Для стохастических моделей проводится анализ чувствительности аттракторов на основе теории функции стохастической чувствительности. С использованием аппарата доверительных областей: эллипсов и эллипсоидов для равновесий, а также полос и торов – для циклов, изучаются стохастические феномены: переходы между аттракторами, генерация большеамлитудных колебаний, вымирание популяций. Изучаются вероятностные механизмы вымирания популяций. / The thesis considers a two-dimensional population model of the «predator–prey» type, taking into account the competition of preys and competition of predators for resources different from the preys, and also a three-dimensional population model of the «predator–two preys» type, with intraspecific and interspecific competition of preys and competition predators for resources other than preys. An analysis is made of the existence and stability of attractors. Bifurcation diagrams and typical phase portraits are constructed. For stochastic models, an analysis of the sensitivity of attractors is carried out based on stochastic sensitivity function teqnique. Using the confidence domain method: ellipses or ellipsoids for equilibria and bands or tor for cycles, following stochastic phenomena are studied: transitions between attractors, the generation of large amplitude oscillation and the extinction of populations. The probabilistic mechanisms of extinction of populations are studied.
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Indirect effects of invasive species:community effects of invasive aquatic plant control and direct and indirect effects of non-native peacock bassKovalenko, Ekaterina 08 August 2009 (has links)
Biological invasions are one of the main factors responsible for the imperiled status of freshwater ecosystems, but much remains to be learned about their indirect effects on native communities. The first part of this dissertation examines community effects of long-term efforts to selectively control invasive Eurasian watermilfoil. Results of the first study show that native plants immediately recolonized treated areas and habitat complexity was unaffected. Fish community was not influenced by invasive plant control. Macroinvertebrate communities were highly variable and part of their variability could be explained by plant community attributes. Both fish and macroinvertebrates used invasive watermilfoil, which emphasizes the need for timely restoration of native macrophytes to mitigate for lost habitat. Because fish and macroinvertebrates were more affected by complexity than other attributes of plant assemblage, reestablishment of habitat complexity appears to be a promising restoration strategy. The second study, which examined species interactions after watermilfoil control, found that fish feeding activity was not correlated with invasive plants or habitat complexity and that invasive macrophyte control did not affect characteristics of fish feeding investigated. The relationship between fish and macrophytes was further explored in the context of interactions between an invasive piscivore and its native prey. First, I examined the prey naiveté hypothesis with non-native peacock bass in Paraná River, Brazil. Prey responded to visual and chemical cues of peacock bass and displayed avoidance behaviors similar to those observed with a native predator, meaning that lack of recognition was not responsible for the observed vulnerability of native species to this introduced predator. After confirming lack of naiveté, I assessed direct and indirect effects of this non-native predator on native prey. Peacock bass had no indirect effects on its prey feeding activity. Macrophyte type did not affect indirect predator-prey interactions, whereas direct predator effects slightly decreased in the presence of aquatic vegetation. I discuss implications of these findings for native biodiversity and convene other potential explanations for the observed effects of peacock bass. Both projects contribute to our understanding of the relationship between aquatic plants and their animal communities and effects of invasive species in freshwater habitats.
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The role of individual learning and dietary preference in the consumption of the invasive Green Porcelain Crab, <i>Petrolisthes armatus</i>, by Native Crab PredatorsCrosby, Chelsea Helene 24 August 2018 (has links)
No description available.
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Diet Analysis of Maumee River Fishes using Cytochrome C Oxidase (COI) DNA Metabarcoding ― Insights into a Critical Time of YearShortridge, Megan G., Shortridge 22 November 2016 (has links)
No description available.
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190 |
Interactions between Pigmy Rattlesnakes (<i>Sistrurus miliarius</i>) and a Suite of Prey Species: A Study of Prey Behavior and Variable Venom ToxicitySmiley-Walters, Sarah Ann 24 May 2017 (has links)
No description available.
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