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The ‘landscape of fear’ has been proposed as a unifying concept in ecology by linking population distribution patterns through top-down predator-prey mechanisms. The landscape of fear predicts that prey resource selection patterns are influenced by spatially and temporally predictable patterns of predator risk across a landscape. Although the model has been suggested to predict prey space-use patterns across a variety of systems, it remains unclear if individuals exposed to similarly risky environments (i.e., within the home range) will consistently avoid predator risk. I tested the landscape of fear concept using a natural experiment where moose hunting was introduced to a previously hunter-naïve moose population. I quantified hunting risk by developing risk landscape layers derived from harvest data collected over the first three hunting seasons (2011, 2012 and 2013) in Gros Morne National Park, Newfoundland, Canada. Yearly hunter-risk layers were then used as a continuous variable in moose resource selection analysis to understand if moose respond to hunter risk, and if all individuals respond similarly to risk, as predicted by the landscape of fear. I found moose hunters were generally more likely to harvest moose near landscape features that offered easy access and a wide field of view. Moose generally did not avoid hunting risk until the second hunting season, and only during daylight hours. Conversely, at night, moose were generally found to select hunter-risky areas, with the strength of selection progressively increasing each year. I found considerable individual variation in moose response to hunting risk, however, with some individuals failing to alter selection strategies to avoid hunter risk. The motivation to respond to risk may be based on fitness related trade-offs associated with anti-predatory behavior, personality, and/or an individual’s ability to correctly assess risk on the landscape. My research highlights the importance of incorporating individual patterns in resource selection strategies when attempting to address landscape-level processes, such as the landscape of fear concept.

Perceived predation risk alters animals’ behavior. This shift in behavior often comes at the cost of attaining resources. Generally, African elephants (Loxodonta africana) experience little predation pressure; however, the risk of predation by lions (Panthera leo) increases other prey species are less abundant. In elephant herds, related females and their offspring travel together in family groups, led by the eldest female. Response to predation pressure was examined by playing lion calls to the population of 437 elephants at the Main Camp Section of Addo Elephant National Park (AENP) in South Africa. Unfamiliar lion calls from a single male and two males, static, and running water were played from a remote speaker to elephants at waterholes. These trials were recorded by video. Behaviors of elephants were then extracted from video into focal observations of thirty second segments before, during and after a sound was played. I analyzed these data using parametric t-tests and non-parametric randomization tests. When no sound was played, elephants did not alter their behavior. Water elicited low levels of distress behaviors. Elephants behaved in a threatened or annoyed manner toward static. Elephants changed their behavior more in response to lion calls than to the controls, namely by decreasing drinking and increasing walking and distress behaviors. I also examined how individuals differed in their responses to the lion calls based on a number of demographic factors. Adult and subadult females performed more social behaviors after lion calls when the matriarch was absent than when she was present. Furthermore, when group size was larger and more calves were present, females decreased drinking and increased time exhibiting distress behaviors. Based on this and other studies it can be concluded that elephants of different demographics perceived similar levels of elevated risk when hearing lion calls. Landscape of fear models are useful for assessing habitat use by prey species in response to real and perceived predation risk. The present study corroborates findings from a study in East Africa that elephants perceive threat from lions based on calls alone and appear to distinguish levels of threat by the number of lions calling.

Prédateurs et proies sont entraînés dans une course spatiale où les prédateurs cherchent à sélectionner les zones du paysage avec une forte disponibilité en proies alors que les proies tentent d’éviter les zones du paysage avec une forte probabilité de rencontrer un prédateur. Ils procèdent incessamment à de nombreux choix susceptibles de modifier l’issue de cette course. Ainsi, en sélectionnant des endroits différents, ils peuvent tenter d'altérer les probabilités de détection, de rencontre ou encore la probabilité de réussite d’une attaque. De nombreuses études empiriques montrent l’importance de l’habitat dans ces choix. On connaît par contre peu les mécanismes de recherche (par les prédateurs) ou d’évitement (par les proies) qui ne seraient pas relatifs à l’habitat. La course spatiale ne résume cependant pas entièrement l’interaction entre prédateurs et proies, laquelle dépend de nombreux comportements non-spatiaux. La vigilance et la socialité des proies constituent des défenses relativement répandues. On a aussi fréquemment observé de nombreux exemples où les proies deviennent actives à un autre moment de la journée pour échapper à leur prédateur. Cependant, on connaît relativement peu les interactions de ces comportements avec la dimension spatiale du jeu proie-prédateur. Dans cette thèse, j'ai pour objectif de combler ces différents manques. Dans le premier chapitre, je propose un modèle théorique montrant l’importance de la prise en compte des comportements spatiaux dans l’interaction classique entre vigilance et taille de groupe chez les proies. Dans le second chapitre, je présente un mécanisme d’évitement des prédateurs par les proies, s'appuyant sur les ancres spatiales et temporelles des prédateurs et ne dépendant pas de l’habitat. Enfin, dans le dernier chapitre, je développe un modèle de choix de parcelles permettant de prévoir comment les connaissances passées sont susceptibles d'être utilisées pour orienter les déplacements. Ce modèle rappelle notamment l’importance de l’imprévisibilité du déplacement dans le jeu prédateur-proie. Ces différents travaux se placent dans le cadre d’une écologie comportementale du paysage et visent à intégrer des mécanismes comportementaux dans l’étude des dynamiques écologiques à l’échelle du paysage. / Predators and prey engage into a space race where predators seek to select areas with high prey availability while prey try to avoid areas with a high probability of encountering a predator. Predators and prey continuously make choices that can alter the outcome of this space race. For example, by using different locations in the landscape, they can alter the probability of an encounter, the probabilities of detection or the probability of success of an attack. Many empirical studies show the importance of habitat in these choices. On the other hand, little is known about avoidance by prey or predator search strategies that would be unrelated to habitat. The space race, however, does not fully summarize the interaction between predators and prey, which also depends on many non-spatial behaviors. The vigilance and grouping behaviour of prey are relatively common defenses, and there are many examples where prey become active at another time of day to escape their predator. However, it is still unclear how those behaviors interact with the spatial dimension of the prey-predator game. In this thesis, I will try to fill these gaps. In the first chapter, I propose a theoretical model showing the importance of accounting for spatial behaviors when studying the classical interaction between vigilance and group size in prey. In the second chapter, I present a mechanism of predator avoidance by prey, relying on the spatial and temporal anchors of predators and independent on the habitat. Finally, in the last chapter, I develop a patch selection model to predict how past information should be used to determine movement. This model emphasize the importance of movement unpredictability in the predator-prey game. These different works are part of a behavioral ecology of the landscape and aim to integrate behavioral mechanisms in the study of ecological dynamics at the landscape scale.