Thesis (M.S.)--University of Florida, 2004. / Title from PDF title page (viewed on July 4, 2005). Includes vita. Includes bibliographical references (p. 76-86).

Cercopithecus mitis is a polytypic, pan-African guenon species with a complex evolutionary history. The Lomami River Blue Monkey, C. m. heymansi, occurs within the Tshuapa-Lomami-Lualaba (TL2) Conservation Landscape and exhibits high pelage variation. Previous studies have shown discordance between the mitochondrial and Ychromosome gene trees of C. m. heymansi. The objectives were to test the phylogenetic pattern found in the mtDNA tree using a larger sample size of C. m. heymansi, determine the genetic diversity of the population, and hypothesize methods of speciation. While many species within the C. mitis radiation depict paraphyly, I determined that C. m. heymansi forms highly supported monophyletic clades in both mtDNA and Ychromosome gene trees. These results suggest that C. m. heymansi is a distinct lineage within the C. mitis radiation. Future genomic analyses are important in resolving the evolutionary history of this population and discerning its taxonomic classification and conservation value. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2020. / FAU Electronic Theses and Dissertations Collection

The ways that individuals socialize within groups have evolved to overcome challenges relevant to species-specific socioecology and individuals’ life history state. Studying the drivers, proximate benefits, and fitness consequences of social interaction across life stages therefore helps clarify why and how social behavior has evolved. To date, juvenility is one life stage that field researchers have largely overlooked; however, individual experiences during development are relevant to later behavior and ultimately to fitness. Juvenile animals are subject to unique challenges related to their small size and relative inexperience. They are likely to employ behavioral strategies to overcome these challenges, while developing adult-like behavioral competence according to their species and sex. The research presented in this dissertation draws from long-term behavioral records of adult females and shorter-term behavioral records of juveniles from a population of blue monkeys (Cercopithecus mitis stuhlmanni) in western Kenya. I combine data on social behavior, demography, and biomarkers related to energetic and metabolic status, to assess both short and long term corollaries of social strategies in this gregarious Old World primate. I first explored whether the quality of social ties predicted longevity among adult female blue monkeys. Controlling for any effects of dominance rank, group size, and life history strategy on survival, I used Cox proportional hazards regression to model the both the cumulative and current relationship of social ties and the hazard of mortality in 83 wild adult females of known age, observed 2-8 years each (437 subject-years) in 8 social groups. The strength of bonds with close partners increased mortality risk under certain conditions: females that had strong bonds with partners that were inconsistent over multiple years had a higher risk of mortality than females adopting any other social strategy. Within a single year, females had a higher risk of mortality if they were strongly bonded with partners that were inconsistent from the previous year vs. with partners that were consistent. Dominance rank, number of adult female group-mates, and age at first reproduction did not predict the risk of death. This study demonstrates that costs and benefits of strong social bonds during adulthood can be context-dependent, relating to the consistency of social partners over time. To understand the adaptive value of social behavior among juveniles, it was first necessary to understand the conditions under which their social behavior occurred and with which it co-varied. I examined the social behavior of 41 juvenile blue monkeys, using data collected over 8 consecutive months. I analyzed variation in social activity budgets and partner number related to life history characteristics, socio-demographic conditions, and seasonal environmental change. I examined partner preferences according to kinship, and relative age and rank. Lastly, I explored the stability of juvenile social tendencies over time. Males and females differed strongly in their social activity budgets and partner numbers: males spent more time playing with more partners than females, whereas females spent more time grooming and sitting close with more partners than males. Nevertheless, they were much more similar in terms of their partner preferences. Juveniles generally preferred to interact with partners with whom they were closely related and that were similar in age and maternal rank. Juveniles’ affiliative and aggressive behavior varied seasonally, suggesting that these two types of behavior were related. Rates of agonism given and received were the only types of social behavior to demonstrate repeatable inter-individual differences. This analysis provides a comprehensive examination of juvenile behavior in blue monkeys, synthesizing findings with those in other primate and non-primate species. I then explored the short-term costs and benefits of juveniles’ sociality in terms of their effects on allostatic load. I examined variation in energy balance (as measured by urinary C-peptide), social style, and their influences on allostatic load (as measured by fecal glucocorticoid metabolites, fGCs). Juvenile energy balance varied according to sex, availability of ripe fruit, and rainfall. Both energy balance and social style predicted fGC levels, such that juveniles that had a higher energy balance, groomed less, and played more had lower fGCs. Time spent grooming interacted with energy balance in their effect on fGCs, such that individuals with higher energy balance actually had higher fGCs the more time they groomed. Neither maternal rank nor involvement in agonism corresponded with juvenile fGC levels. These results suggest that juvenile blue monkeys experience energetic stressors and that navigating the social environment via overt affiliative behavior, namely grooming, is a potentially stress-inducing endeavor. Lastly, to further understand variation in social behavior during juvenility, I explored the role of mothers in shaping juveniles’ affiliative tendencies. I examined whether the social behavior of juvenile animals resembled that of their mothers and whether their social behavior was subject to maternal effects, using data from the 41 juveniles and their 29 mothers. Juveniles’ grooming time with peers corresponded with the amount of time they groomed with (primarily being groomed by) mothers as infants, and this relationship varied by sex. Females spent less time grooming with peers the more maternal grooming they received during infancy, whereas males groomed with peers more. The time juveniles spent in other types of association with partners did not correspond with the same behavior in mothers, nor were other types of association subject to maternal effects. This exploratory study suggests limited effects of maternal behavior during infancy, but also that females and males respond differently to maternal investment during the first year. The results of this dissertation emphasize the importance of long-term studies of natural populations in understanding the evolution of social behavior, particularly when examining the causes and consequences of social ties over the life cycle in a long-lived animal. Strategies of affiliation did indeed correspond with costs and benefits over the life cycle, as they were relevant both to mortality in female adults and metabolic hormones among juveniles. Further, individuals socialize during development according to their life trajectory as male or female, what seasonal changes in the physical environment require or allow, and early-life maternal effects.

The search for food and adequate nutrition determines much of an animal's behavior, as it must ingest the macronutrients, micronutrients, and water needed for growth, reproduction and body maintenance. These macro- and micronutrients are found in varying proportions and concentrations in different foods. A generalist consumer, such as many primates, faces the challenge of choosing the right combination of foods that confers adequate and balanced nutrition. Diet selection is further complicated and constrained by antifeedants, as well as digestive morphology and physiological limitations. Nutritional ecology is the study of the connected relationships between an organism, its nutrient needs (determined by physiological state), its diet selection, and the foraging behavior it uses within a specific food environment. Additionally, these relationships are complex and changeable since the nutrient needs of a consumer change over time and food resources (including the nutritional composition) vary spatiotemporally. Published data on primate nutritional ecology are limited, with most investigations of nutritional needs stemming from captive populations and few field studies. To contribute to the body of knowledge of nutritional ecology in natural populations, I examined the nutritional ecology of wild adult female blue monkeys, Cercopithecus mitis. I used the geometric framework (GF) to quantify nutritional patterns, as it allows simultaneous examination of multiple nutrients that may be driving foraging behavior and patterns of food intake. Blue monkeys are known to be generalist feeders, with flexible feeding behavior. The population I studied inhabits the Kakamega Forest, western Kenya. This forest has a history of variable human modification on a small scale, and offered a unique opportunity to examine environmental factors (e.g. degree of human-modification of forest type, food availability), social factors (dominance rank), and physiological factors (reproductive demand) that may alter blue monkey nutritional strategies. From January and September 2015, a team of field assistants and I collected behavioral data from 3 study groups, intensively sampling 24 adult females that varied in dominance rank and reproductive condition. I used all-day focal follows to quantify feeding behavior, which allowed me to assess diet selection and nutrient intake on a daily basis. I also monitored subjects' daily movement. To assess food availability, I quantified vegetative differences among major habitat types within each group's home range and monitored biweekly changes in plant production of fruits and young leaves, which were major constituents of the plant-based diet. I collected >300 food samples, as well as fecal samples, and analyzed them for macro-nutritional content using wet chemistry and near-infrared spectroscopy techniques. I combined data to examine patterns in diet and nutritional strategy on different scales: patterns across subjects, between groups and within the population as a whole, patterns in the diet on the food composition level versus nutrient intake level, and patterns in nutrient intake on a daily basis versus a long term basis (i.e. over the course of the study period). Additionally, I evaluated factors that might affect variation in nutritional strategies, including a female's reproductive condition, dominance rank, habitat use, and degree of frugivory or folivory in daily intake, as well as food availability in the environment. Kakamega blue monkeys ate a broad diet of over 445 food items (species-specific plant parts and insect morphotypes). Fruit was preferred food, and particular species-specific fruits constituted the majority of important food items (i.e., those contributing >1% of total caloric intake by group); many fruits were highly selected (i.e. eaten more than expected based on availability). Many species-specific young leaves also were important food items, though they were eaten in proportion to their availability, or even less often. Regardless of whether group diet was characterized by time spent feeding or by calories, fruit remained the largest constituent and young leaves the second largest. A subject's daily path length was negatively related to proportion of fruit in the diet (by kcal) because females focused feeding in particular trees when important fruits ripened and thus traveled less. Daily path length was not related to group size, probably because females spread out when foraging to avoid within-group scramble competition over food. Group differences in the food composition of diets likely reflected habitat differences in food distribution. Comparison of the population's diet to data from previous studies showed that as study groups moved into new areas and habitats, they capitalized on new food resources, reinforcing the idea that blue monkey are flexible feeders. During this study, subjects adjusted their diet in response to food availability in the environment, consuming more fruit (by percentage of diet and absolute kcal) when fruit was more available. In contrast, subjects ate fewer young leaves (by absolute kcal) when either fruit or young leaves were more available, suggesting that young leaves served as fallback food. At the level of nutrient intake, it was also true that females consumed significantly more structural carbohydrates when fruit availability was low. Despite their diverse diets and changes related to food availability, females actively regulated food intake to converge daily on a similar nutrient intake (grand mean of 637 kcal, with 108 kcal from protein, 149 kcal from lipid, 88 kcal from structural carbohydrates, and 293 kcal from non-structural carbohydrates, N=24). Thus, considering a multidimensional nutritional niche, I characterized their feeding behavior at two levels: they were both food composition generalists and nutrient intake specialists. Blue monkeys showed a nutritional strategy on two different temporal scales: 1) daily protein prioritization and 2) long term non-protein energy (NPE; i.e. lipid + carbohydrate energy) to available protein (P) balancing. On a daily basis, protein intake (by kcal) showed the least amount of variation (by coefficient of variation) and subjects consumed similar amounts of protein, regardless of potential influences from environmental, social or physiological factors. Females allowed more variation in daily ratio of non-protein energy to protein (NPE:P), taking advantage of high NPE foods like fruit. They allowed higher NPE:P ratios when fruit was a larger proportion of their diet and when they spent less time in near-natural forest. There was no evidence that reproductive demand or dominance rank affected protein intake or NPE:P balance. Dominance rank also did not predict deviation (absolute or directional) from mean protein intake or mean NPE:P ratio. On a long term basis (i.e. over the 8 months of data collection), all subjects tightly balanced cumulative NPE:P intake, regardless of dominance rank. This long-term pattern in all 24 subjects suggests that it a species-typical strategy. However, lower ranking females ate more unique food items per day than higher ranking females. Varying daily dietary breadth may allow females to cope with social constraints while feeding, such that dominance rank had no effect on nutritional strategies. Further, the prevalence of NPE:P balancing in most nutritional ecology studies of primates suggests that the diversity of feeding strategies within this order of mammals may have evolved to allow them to adhere to that particular nutrient balance, though the rule of compromise (e.g. protein versus NPE prioritization) and the exact ratio balanced may differ by population or species. Blue monkeys regularly used human-modified habitats and ate considerable amounts of the non-natural foods found there (and elsewhere in the forest). Non-natural foods were directly derived from humans or human activity (e.g. via scavenging from trash) and exotic (non-native) plants, generally introduced inadvertently or for silviculture. Subjects incorporated a substantial amount of non-natural foods into their diets, with approximately a third of their daily calories derived from non-natural foods. Subjects in the group with the most access to human-modified habitat used non-natural foods the most extensively. Further, subjects in two groups showed clear preference for human-modified habitat while members of the third group used habitat types in proportion to their occurrence in the home range. Human-modified habitat, and the non-natural foods found within, may have been readily used because many non-natural foods provided similar access to nutritional space as natural foods. Some non-natural foods, like oil palm fruit and ugali (cooked maize flour), represented energetically dense food resources, which also proved attractive. Regardless of whether subjects fed primarily on natural or non-natural foods, they consumed similar amounts of daily protein. This prioritization of protein, coupled with the fact that females had higher NPE:P ratios when feeding mostly on non-natural foods, indicated that blue monkeys capitalized on non-natural resources to increase NPE intake as long as they were able to consume a threshold amount of protein. What remains unclear though, is whether there are adaptive advantages associated with the ability to consume diets of variable NPE:P ratios. Overall, blue monkeys in Kakamega Forest are very flexible feeders, perhaps to a greater degree than previously acknowledged. Subjects were able to consume a diverse diet of hundreds of species-specific food items, to shift their diet in response to changes in food availability, to capitalize on food resources found in different habitat types, to take advantage of non-natural food resources, and to tolerate a wide range of NPE:P ratios in daily diets. Further, on a nutritional level, they successfully navigated potential stressors from the physiological demands of reproduction and dominance rank to adhere to a particular nutritional strategy. Flexible behavior, such as spreading out during feeding or varying dietary breadth, indicates how blue monkeys may use particular feeding strategies to arrive at a common nutrient intake target. Despite daily fluctuations in NPE:P ratio that varied with environmental and dietary factors, all subjects were able to consume a consistent daily amount of protein and prioritized its intake above all other nutritional components. Finally, their tight adherence to long term NPE:P balancing suggested that they followed a nutritional strategy that operated on both daily and longer timescales. Primates are increasingly threatened from habitat loss, degradation and other human-disturbances. There is growing awareness that some species, like blue monkeys, may be able to persist in regenerating human-modified landscapes, where they regularly and readily use non-natural food resources. More species- and habitat-specific nutritional studies are needed to predict population-level responses to varying degrees of habitat alteration. The data generated may help us assess the potential value of human-modified habitats that may require protection, as these habitats may contribute to the persistence of primate populations around the globe, especially in novel ecosystems.

The samango monkey (Cercopithecus mitis erythrarchus) is the southern most representative of the polytypic mitis group. The samango is also the only truly arboreal guenon to have radiated as far as 30°S. At southern latitudes a greater seasonality of climate and an attendant seasonal shift in food availability is expected to restrict the foraging strategy of the arboreal guenon. In the absence of arboreal congenerics and few frugivorous bird and bat species, the samango experiences a level of competitive release at Cape Vidal not found in other equatorially located mitis populations. In this thesis I examine and contrast the diet and feeding behaviour of the mitis species group. In this way I illustrate the consequences of seasonality of food abundance and competitive release on the foraging strategy of the samango, and provide an explanation for the unique distribution of the samango monkey as the only arboreal guenon in southern Africa. Despite seasonality in climate and abundance of food resources, my data show that, in general, samango monkeys at Cape Vidal are not food limited. For this reason Cape Vidal samangos have large troop sizes (25+), use small home ranges (15 ha) and have the highest density (2.02 ind/ha) of any C. mitis population researched to date. Fruit forms an important part of the diet year-round and therefore, energy and carbohydrate are abundant. There is very little intra-group aggression for food, although interindividual distances are greatest when feeding. There are age-sex differences in the diet, and adult males eat more fruit while females eat more leaves than other age-sex classes. The most important aspect of the feeding strategy of the samango is concerned with obtaining adequate protein in the diet, and throughout the range of the mitis group, populations differ most in feeding strategies used to secure protein-rich foods, such as young leaves, flowers and invertebrates. In this respect seasonal nutrient (protein) availability, rather than seasonality of food abundance per se, is the most limiting component of the forest environment. Unlike equatorial populations of mitis that derive most of their protein from insects, samangos are unable to adopt a similar strategy. Insects were available to the monkeys, and then only in low numbers, in the wet summer season at Cape Vidal. Samango monkeys, therefore, make greater use of a wider variety of plant items for protein acquisition. During the wet summer months, insects, flowers and young leaves are used by samangos to obtain sufficient protein for important reproductive activities, such as lactation, and initial growth of the infant. During the drier winter months only mature leaves and small quantities of young leaves are available as protein resources, consequently samangos use more mature leaf in the diet than other C. mitis populations. Adaptations of the gut and specialized gut microflora permit this high degree of folivory in the diet (Bruorton and Perrin 1988) of the samango monkey. This is a characteristic that does not appear to be shared with other arboreal guenons. In so far as protein is essential for reproduction, folivory in c. mitis has been important in permitting this arboreal guenon species-group to radiate into southern latitudes where protein is more seasonally available. The ability of samango monkeys to eat large quantities of leaves at anyone time, accounts for their unique position as the only arboreal guenon species in southern Africa. / Thesis (Ph.D.)-University of Natal, Pietermaritzburg, 1990.

Past sightings of red-tailed (Cercopithecus ascanius) x blue monkey (Cercopithecus mitis) hybrids in Uganda indicates the potential for hybridization between C. Ascanius and C. mitis individuals. Apart from Gombe Stream National Park, there is no of evidence suggestive of C. ascanius x C. mitis monkey hybridization at investigated East African locations. Phylogenetic analysis was examined using Mitochondrial DNA (mtDNA) sequence data of twelve C. mitis stuhlmanni samples (from two populations) in Kibale National Park (KNP), Uganda to test for any evidence of hybridization. Strict mono- phylogeny among two new C. mitis haplotypes were detected. Genetic diversity measurements support neither interspecific or intraspecific hybridization among C. mitis individuals from populations within Kibale National Park. To intensify the implications of this study further examination should include an increase in sample size(s), mtDNA comparison of C. mitis subspecies from additional populations at East African locations, and assessment of nuclear and genomic DNA. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2018. / FAU Electronic Theses and Dissertations Collection

The risk of death by predation has been a major driver of group living in many prey animals. Animals must adapt to temporal and spatial variation in predation risk and would benefit from using relevant and reliable sources of information both from conspecifics and heterospecifics to better learn about danger. Research on the effects of group living on antipredator strategy has focused largely on group size. However, sociality is often more complex than simple amalgamations of individuals. Those living in groups are likely exposed to unequal levels of predation risk; some are exposed to more danger than others because of factors related to their age, sex, and spatial or social positioning. An individual’s antipredator strategy should reflect its perceived safety levels. I studied antipredator strategies in blue monkeys (Cercopithecus mitis stuhlmanni) in the Kakamega Forest, Kenya. Blue monkeys are arboreal guenons that live in matrilineally-based social groups and form differentiated social relationships. These social relationships could affect how monkeys respond to variable predation risk. Blue monkeys live in dense, biodiverse rain forests and are preyed upon by both aerial and terrestrial predators. They have a well-developed acoustic communication repertoire and have been known to associate with other primates to reduce predation risk (Cords 1987). I conducted five playback experiments and two sets of observational studies, and used data gathered on social interactions among adult females to further our understanding of how group living affects antipredator strategies. I also used 14 years of social interaction data to explore the heritability of social tendencies. In the first chapter, I present a comprehensive literature review of the connections between group living and antipredator behavior. I describe the effects of group size on antipredator behavior and how research on sociality has shifted towards focusing on individuals’ specific relationships and social connectivity. I then describe several ways in which social connectivity has been shown to influence antipredator behavior. I conclude with future directions and then introduce the dissertation. In the second chapter, I focus on heterospecific eavesdropping. I identified the extent to which blue monkey adult females respond to playbacks of alarm and social calls of two syntopic non-predatory bird species—black-faced rufous warblers (Bathmocercus rufus) and joyful greenbuls (Chlorocichla laetissima). Blue monkeys responded differentially depending on both call type and species. I then evaluated differential responses to conspecific and heterospecific callers, hypothesizing that conspecific signals would trigger stronger anti-predator responses because conspecifics are more relevant signals of risk. I conducted a playback experiment in which adult females were presented simultaneously with one alarm or social call from both conspecifics and warblers (4 combinations of alarm and social calls), or ambient rain forest sound (control). Subjects did not differentiate their responses to simultaneous calls according to the type of playback stimulus. These findings suggest that blue monkeys do not differentiate their responses to alarm calls according to caller relevance. Heterogeneous results among different response variables also highlight the importance of examining multiple modes of antipredator behavior. Next, I examine how an individual’s social connectivity influences its antipredator strategy, hypothesizing that more socially connected individuals would benefit from the proximity of more and closely bonded groupmates in enhancing predator avoidance. In Chapter 3, I evaluate the effects of social connectivity on acute antipredator responses, antipredator vigilance, and responses to signals related to various levels of predator-related threat. I first assessed how social connectivity affects the rate at which adult females exhibit acute antipredator responses (such as diving down in trees, climbing up trees, or alarm calling) and the proportion of responses that are major (lasting >30 s), statistically controlling for age, the presence of an infant, and 2-month “seasons”. I predicted that more socially connected individuals would exhibit less frequent acute antipredator responses because they would be better-informed about risk and therefore would exhibit fewer false alarms. I For the same reasons, I also predicted that they would exhibit more major (vs. minor) responses because false alarms are more likely to involve shorter responses (Cords 1987). Contrary to predictions, however, more closely connected individuals exhibited higher rates of acute antipredator responses, which might reflect their enhanced ability to learn about danger from surrounding groupmates, allowing them to detect more potential threats. There was no evidence that social connectivity was associated with the proportion of responses that lasted >30 s. I also found that the rate of acute antipredator responses and the proportion of responses that lasted >30 s varied with season. I then conducted 90-s focal vigilance follows, to assess how long females exhibit antipredator vigilance after controlling for other social and microhabitat factors (e.g., surrounding vegetation density), which can influence conspecific monitoring and exposure to potential predators. I predicted that more well-connected individuals would exhibit lower levels of antipredator vigilance in the absence of any imminent threats and after controlling for other social and spatial factors. More closely connected individuals who were in the spatial center of their social group did spend less time vigilant, but social connectivity was not associated with vigilance times when subjects were at the group’s edge, where exposure to predators and thus predation risk should be highest and antipredator vigilance should generally be higher. In the spatial center of the group, more closely connected individuals should be in a better position to observe their social partners’ antipredator behavior. Microhabitat also influenced antipredator vigilance in multiple ways, which highlights the spatial variation of perceived predation risk in a complex environment. Lastly, I conducted a playback experiment where I examined responses to signals from conspecifics and heterospecifics that are associated with different levels of threat. I predicted that more poorly connected individuals would respond strongly to all signals that might be associated with predators because they must identify personally whether danger is real, whereas more well-connected individuals would have more differentiated responses because they should be near social partners more frequently and can rely on their partners’ antipredator reactions to assess risk levels. However, although subjects did respond more to direct cues of the predator’s presence (its own calls) than to indirect cues of its presence (alarm calls by conspecifics and heterospecifics), there was no evidence that social connectivity affected responses to playbacks. As expected, stimulus type did affect responses—calls from predators (vs. alarm calls or social calls from non-predators) elicited increased looking responses from subjects, which suggests that stimuli that directly signal predator presence will elicit antipredator behavior regardless of the listener’s social connectivity. Overall, social connectivity seems to play a limited role in blue monkeys’ antipredator strategy but there was some evidence that more well-connected individuals were less vigilant when surrounded by groupmates. The ability to distinguish alarm calls by individual callers has not been well-studied, but animals might benefit from making such distinctions if callers vary in how reliably they signal danger. For decades, researchers have tested whether animals can discriminate callers using the habituation-dishabituation paradigm. After habituating subjects by repeatedly presenting calls of one individual, A, they examine whether subjects dishabituate when they hear the calls of a different individual, B (test stimulus). In Chapter 4, I first review studies that used this paradigm to evaluate whether animals discriminate between conspecific callers and then report on two playback experiments which tested whether wild blue monkeys are capable of such discrimination. My review revealed much methodological variation, particularly in the habituation phase and criteria, statistical analysis, and controls. In experiments, I contrasted two methods of habituation, either presenting a fixed number of stimuli (set after pilot observations) or evaluating responses during the series before progressing to the test. Afterwards, I conducted Wilcoxon signed-rank tests to assess habituation statistically. In the first experiment where I played back a fixed number and rate of calls, it was statistically unclear whether subjects habituated to caller A, despite preliminary observations and similar studies that suggested that the experimental design would be appropriate. Because there was not strong evidence that subjects habituated, I did not evaluate statistically whether subjects differentiated between callers in the full dataset. However, in the second experiment where I assessed habituation during the trial, subjects did habituate to caller A and there was weak support that they dishabituated to caller B, which suggests that caller discrimination may occur. From my experiences, I propose an improved design for studies using the habituation-dishabituation paradigm. Lastly, I explore the mechanisms that drive phenotypic variation in social tendencies (and in turn, social connectivity) in adult females. For natural selection to occur, there must be variation in traits, differentiated fitness benefits based on phenotypes, and heredity or a genetic basis underlying phenotypic variation. The previous chapters highlight the variation in and some of the benefits of social connectivity. In Chapter 5, I conducted an exploratory analysis to examine what factors account for phenotypic variance. Using animal models, I found that both environmental and additive genetic variance accounted for some of the phenotypic variance seen in traits associated with social tendencies (using social connectivity as a proxy). Variance in the social environment (i.e., environmental variance) played a large role in shaping observed phenotypic variation in social connectivity. However, all six of the social network measures examined were weakly heritable, which suggests that there is also a genetic basis for behavioral variation, allowing selection to occur. This dissertation emphasizes the importance of examining both antipredator behavior and sociality using multiple experiments, observations, and measures, while also considering the importance of study species and habitat complexity. The relationship between antipredator behavior and social connectivity is not straightforward and can vary greatly between study systems. Although many of my predictions were not supported, I did find evidence that blue monkeys are receptive to heterospecifics, vary their acute antipredator responses and vigilance based on social relationships with conspecifics, adjust their antipredator vigilance according to spatial positioning, and potentially discriminate between alarm callers. The findings presented here expand our knowledge of how animals learn about predation risk by being attentive to conspecifics and heterospecifics.

The Cercopithecus mitis radiation has significant phenotypic and ecological diversity, making it a great candidate for evolutionary genetic studies. This study represents the first genetic survey of C. mitis from well provenanced wild populations, including C. mitis heymansi from the TL2 landscape, an area of remote tropical forest between the Tshuapa, Lomami, and Lualaba rivers in the Democratic Republic of the Congo. Tissue samples were collected from 7 male blue monkeys, DNA was extracted and surveyed at 919 bp of the Testis-Specific Protein Y-chromosome (TSPY), and added to a larger dataset including other C. mitis and C. albogularis specimens. Evolutionary analyses suggests TL2 C. mitis shared recent genetic contact with C. albogularis at the headwaters of the Congo River than with conspecifics to the northeast, indicating the Congo River is a significant biogeographic barrier to C. mitis and sheds new light on their genetic heritage, taxonomic assignment, and conservation status. / Includes bibliography. / Thesis (M.A.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection