Prey species perceive the risk of encountering predators and being predated upon as fear in the landscape. Prey can thus implement behavioral antipredator strategies by altering functional traits such as habitat use, foraging time, and forage choice. Several factors can affect prey perception of predation risk in the landscape, also known as the landscape of fear, including predator traits, prey traits, and habitat characteristics. Humans may also play the role of predators in natural ecosystems. Both predator and prey species may perceive the threat of humans as predation risk, thus generating fear across trophic levels. Over the past century, most predator species have been extirpated from terrestrial and marine systems. Accordingly, humans may also alter the natural landscape of fear indirectly. Here, I attempt to understand how anthropogenic fear qualitatively and quantitatively differs from fear of other predator species. I plan to use a combination of theoretical and empirical approaches to answer my research questions. First, I will review and analyze current literature on anthropogenic fear to determine the extent and magnitude of anthropogenic fear effects across ecosystems and trophic levels. I will contrast the impact of risk from humans and other predators on prey foraging behavior. For the second chapter, I will use a theoretical approach to understand the effect of fear at multiple trophic levels instead of a single trophic level. I hope to generate predictions on the spatial distribution of predators and prey in systems with pervasive fear. The third and fourth chapters will involve field data collection and experiments in South Andaman and Richie’s Archipelago. These sites have varying levels of protection with a strong gradient of coral cover and human activity. In the third chapter, I will quantify the effect of the loss of predators on coral reefs due to fishing on herbivore foraging behavior. My final chapter will be an experiment to quantify the extent of fear generated by fisheries on predator and prey species in coral reefs.

Patterns of space-use are key in understanding predator-prey interactions. The spatial overlap of predators with their prey influence their encounter rates, predation rates, and ultimately predator-prey dynamics. Animals engage in a dynamic behavioural response race, where prey actively try to avoid predators while predators seek out prey-rich spaces. Many extant studies fail to test for the emergent space-use outcome of the dynamic response race by either holding the prey or predator fixed or not addressing the underlying behavioural mechanisms that drive space use in mobile predator and prey.

In a qualitative literature survey, I examined how many studies report spatial correlations between the distributions of mobile predator and prey and identified external constraints or ‘anchors’ that may influence the observed spatial distributions. Anchors can be constraints like fixed resources or presence of refuges that restrict free access to patches of choice. If prey are constrained, predators win the behavioural response race and show a positive spatial overlap with the prey, whereas, a negative spatial correlation is seen if predators are constrained. Our results show that the presence of the identified anchors may drive the reported outcomes of the predator-prey space-use patterns. Such anchors can be important predictors of the emergent space-use patterns in predator-prey systems. I then studied how predators from the African savanna choose to distribute themselves in space across the timescale of years and seasons and how these time scales affect their choice of kill hotspots. I used movement data for tagged leopards and African wild dogs from the Karongwe Game Reserve in South Africa for this analysis. Our results show that the seasons affect where animals choose to hunt within their home range and that the choice of home range itself may also change over seasons and years. There was also a difference in the space-use of leopard and wild dogs as expected from the differences in their behavioural mechanisms and hunting strategies. Overall, we conclude that a positive spatial overlap alone may not translate to uniform predation risk in the landscape as there are certain hotspots with higher encounter and predation activity that are riskier for prey.

Evidence from recent studies on foraging behavior supports the idea that animals optimize for multiple macronutrients and not just energy gain. Such optimization requires animals to know three things – 1) their current nutritional state, 2) nutritional composition of the food item, and 3) how much of the food item is needed to achieve the desired nutritional state. Lab experiments on animals across taxa demonstrate that they can, in fact, achieve this feat. We now also know that optimal nutritional composition of diets, or ‘intake targets’, are plastic, which allows animals to maintain homeostasis under changing environmental conditions. Abiotic factors (such as temperature) and trophic interactions (both bottom-up and top-down) not only affect the nutritional demands, but also constrain acquisition of nutrients in response to those demands. In addition, life-history strategies such as foraging modes might also influence nutritional demands, and therefore, intake targets. Under natural conditions, however, such constraints often prevent animals from achieving these targets.

In many habitats, available resources vary temporally with seasons and spatially across the landscape. Along with these bottom-up constraints on nutritional intake, top-down predation risk effects also affect foraging behavior and nutrient acquisition in the prey species. In a desert ecosystem such as the one in the Thar, an herbivorous agamid, the Indian spiny-tailed lizard Saara hardwickii, experiences great spatio-temporal variation in resource nutritional quality. Temporal variation in temperature and spatial variation in predation risk are also prominent stressors and can influence foraging in these lizards. This provides an opportunity to understand nutritionally explicit foraging decisions in response to environmental factors varying in both space and time. In my thesis, I propose to examine the nutritional intakes of S. hardwickii in response to temporal shifts in nutrient state space and temperature. I will also capture the variation in distribution of nutrients in space to construct a ‘landscape of nutrition’ (LON) for the spiny-tailed lizards. Lizard burrow densities and body condition index will be measured to understand burrow site selection and its consequences along the landscape of nutrition. In addition, I will quantify predation risk to construct a ‘landscape of fear’ (LOF) in the same space. Along the LON and LOF, I will examine various behavioral, nutritional, and physiological variables to understand animal responses as they balance foraging benefits and predation risk. Further, in a manipulative experiment, I will examine the consequences of long-term nutritional constraints on physiological and motor performance. Finally, using published literature on diet composition, I will explore how life-history strategies such as foraging modes shape intake targets over evolutionary timescales in animals across taxa.

xxxx

Species interactions are known to shape biological communities. While antagonistic interactions like competition and predation are well known, cooperative interactions have received comparatively less attention. Mixed-species foraging behaviour is a common phenomenon seen across various taxa including fish, birds and mammals, where different species form groups and forage together. Unlike symbiotic associations, these interactions are more dynamic and include a much larger subset of species of the community. We sampled mixed-species groups (MSG) of reef fish in the Lakshadweep islands, off the west coast of India. The data was gathered over four years following a mass-bleaching event which led to massive loss of coral in Lakshadweep in 2010. Though not widely reported, we discovered that mixed-species grouping is a common occurrence in the reef ecosystem. Around 130 of the 305 commonly observed species of fish in the Lakshadweep were seen participating in groups to some extent. Using a cluster analysis on species composition, we categorised the groups that were observed in Lakshadweep into nine compositional categories, which also exhibited variation in behaviour, habitat affinity and group cohesion. We then examined variation in grouping propensity, species richness, species evenness as well as species composition across space, time and habitat for the most commonly observed compositional categories. We found that invertivores tended to form smaller attendant groups, with clear nuclear-follower relationships, and likely form for direct foraging benefits. Herbivorous fish on the other hand formed large shoaling associations indicating benefits gained from increasing group size. We found evidence of the effect of the mass-bleaching event and subsequent ecosystem recovery on the formation of some groups. Reef fish MSGs are thus important components of these ecosystems and can both affect and be impacted by reef structure and function.