This study seeks to understand how humans impact the dietary patterns of eight free-ranging vervet monkey (Chlorocebus pygerythrus) groups in South Africa using stable isotope analysis. Vervets are omnivores that exploit a wide range of habitats including those that have been anthropogenically-disturbed. As humans encroach upon nonhuman primate landscapes, human-nonhuman primate interconnections become increasingly common, which has led to the rise of the field of ethnoprimatology. To date, many ethnoprimatological studies have examined human-nonhuman primate associations largely in qualitative terms. By using stable carbon (δ13C) and nitrogen (δ15N) isotope analysis, we use quantitative data to understand the degree to which humans impact vervet monkey dietary patterns. Based on initial behavioral observations we placed the eight groups into three categories of anthropogenic disturbance (low, mid, and high). Using δ13C and δ15N values we estimated the degree to which each group and each anthropogenically-disturbed category was consuming C4 plants (primarily sugar cane, corn, or processed foods incorporating these crops). δ13C values were significantly different between groups and categories of anthropogenic-disturbance. δ15N values were significantly different at the group level. The two vervet groups with the highest consumption of C4 plants inhabited small nature reserves, appeared to interact with humans only sporadically, and were initially placed in the mid level of anthropogenic-disturbance. However, further behavioral observations revealed that the high δ13C values exhibited by these groups were linked to previously unseen raiding of C4 crops. By revealing these cryptic feeding patterns, this study illustrates the utility of stable isotopes analysis for some ethnoprimatological questions.
Citation: Loudon JE, Grobler JP, Sponheimer M, Moyer K, Lorenz JG, et al. (2014) Using the Stable Carbon and Nitrogen Isotope Compositions of Vervet Monkeys (Chlorocebus pygerythrus) to Examine Questions in Ethnoprimatology. PLoS ONE 9(7): e100758. doi:10.1371/journal.pone.0100758
Editor: Darren Curnoe, University of New South Wales, Australia
Received: February 16, 2014; Accepted: May 28, 2014; Published: July 10, 2014
Copyright: © 2014 Loudon et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: National Science Foundation (BCS 0938969); National Institutes of Health (R01RR016300); The Fulbright Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
This study seeks to understand the impact of anthropogenic disturbance on the dietary ecology of free-ranging South African vervet monkeys (Chlorocebus pygerythrus) by analyzing the δ13C and δ15N values of hair samples. In Africa, the northernmost populations of vervet monkeys range from Senegal and Ethiopia while the southernmost populations live in South Africa . Vervets prefer open habitats including savannas and savanna woodland mosaics but they can also be found inhabiting coastal forest zones –. Their capability to inhabit such a wide breadth of environments is in part due to their ability to subsist on a broad spectrum of foods. Within some portions of their geographic range, vervet monkeys live among humans resulting in human-vervet sympatry. Overlap between humans and monkeys is not limited to vervets, as populations of other gregarious Old World monkeys, most notably Asian macaques and African baboons, regularly live among humans –. Human-nonhuman primate interplays are the focus of the emergent field of ethnoprimatology which employs primatological and cultural anthropological methods to understand human-nonhuman primate interconnections . This interdisciplinary approach allows ethnoprimatologists to address a broad spectrum of anthropological and ecological questions including the types of interactions that occur between humans and nonhuman primates, human-nonhuman primate bi-directional disease transmission, the role of nonhuman primates in belief systems, and the use of nonhuman primates in tourism, entertainment, and research –. Because ethnoprimatologists examine human perceptions and attitudes towards their nonhuman primate associates, ethnoprimatological studies are useful for elucidating the nature of these interconnections by understanding resource overlap and utilization . Knowledge of the human-nonhuman primate conflicts that arise from human encroachment can also provide important insights for conservation efforts –. While ethnoprimatological studies are effective at characterizing human-nonhuman primate relationships, these datasets are largely qualitative employing interviews and questionnaires, but some studies have utilized quantitative techniques including botanical methods to access anthropogenic disturbance and crop damage and behavioral data collection on humans and nonhuman primates .
Stable carbon (δ13C) and nitrogen (δ15N) isotope analysis is a highly quantitative, and an increasingly cost effective method for studying primate diets – with much promise as a supplement to typical ethnoprimatological datasets. Stable isotope studies are based on the principle that “you are what you eat” and the δ13C and δ15N values of animals are permanently recorded in their tissues and excreta. This allows for the analysis of archived specimens (e.g., museum specimens) to better characterize human and nonhuman primate interactions over longer temporal scales. In the areas of South Africa of principle interest here, most trees, bushes, and shrubs use the C3 photosynthetic pathway while most grasses and some sedges use the C4 photosynthetic pathway . The carbon isotope compositions of C3 and C4 plants do not overlap, and stable isotope analysis of a primate’s hair can reveal the relative amount of C3 and C4 plants it consumed –. As hair grows it also records these contributions through time , thus allowing for the detection of switches in diet due to seasonal shifts or migrations  or the consumption of new food resources. Vervets with little human interaction eat primarily C3 vegetation  but in South Africa, C4 crops are prevalent (e.g., corn, millet, sorghum and sugarcane) and are consumed by crop raiding vervets. Vervets may also consume human foods that include corn products or C4 sugarcane. Thus, δ13C values can be used to understand a population’s reliance on C4 crops or processed human foods. Nitrogen isotopes can also prove useful as they track trophic level  and provide information on an individual’s physiological state and habitat –. They can also track reliance on agricultural products as synthetic and natural fertilizers can highly alter a habitat’s background nitrogen isotope profile .
Although stable isotope data have been used to study the diets of modern – and fossil – primates, few studies have used stable isotopes to examine anthropogenic impacts on nonhuman primates. Loudon et al.  conducted one such study that combined field observations of ring-tailed lemurs with stable carbon and nitrogen analysis of their hair. The stable isotopes clearly distinguished the lemur groups that utilized human modified landscapes, and demonstrated the potential of stable isotope analysis for addressing questions about anthropogenic disturbance. Schurr et al.  conducted a study on the effects of tourist provisioning on the carbon and nitrogen isotope ratios in the hair of Barbary macaques (Macaca sylvanus) inhabiting Gibraltar. They found that macaques living in areas most heavily visited by tourists had significantly higher δ13C values, probably indicating the consumption of human snack foods which often contain C4 sweeteners. The macaques also had lower δ15N values, most likely due to consumption of tourist-provided peanuts, legumes with a relatively low nitrogen isotope composition .
Given their omnivorous feeding patterns and varying degrees of overlap with humans, vervet monkeys are excellent candidates to examine ethnoprimatological questions using stable isotope data. As elsewhere throughout the continent, free-ranging South African vervet populations primarily inhabit savanna woodlands and riverine forests . Vervets also inhabit anthropogenically-disturbed habitats including farm lands and urban settings and many of the populations which live among humans frequently raid their crops or are provisioned with processed human foods . Here we examine the δ13C and δ15N values of hair from eight South African groups of vervet monkeys with varying degrees of consumption of human foods and utilization of anthropogenically-disturbed habitats. Estimations of the human impacts were broad and based on preliminary observations. An in-depth study of vervet monkey behavioral ecology is required at each field site to truly understand the nature of these human-vervet monkey interplays, but we can use stable isotope analyses to generate hypotheses regarding each group’s feeding patterns and habitat use. For carbon, we predicted that groups of vervet monkeys with high degrees of human contact and consumption of human foods will exhibit higher δ13C values as human foods are frequently processed or sweetened with C4 plants (i.e. corn or sugarcane). We also predicted that the vervet groups with high degrees of human contact that regularly consume human foods or raid crops will exhibit lower δ15N values as foods grown with synthetic agricultural fertilizers tend to be 15N-depleted.
A total of 96 hair samples were collected from eight groups of vervet monkeys (Chlorocebus pygerythrus) throughout South Africa (Table 1; Fig. 1). Hair was collected as part of an ongoing study examining vervet monkey population genetics, genomics, phylogeography, and biology –. At each field site, hair was collected from vervet monkeys within their natural range. During hair collection, behavioral observations of the monkeys were conducted by our team and landowners and reserve managers were interviewed to determine the degree of human impact at each site and to note the consumption of human foods by each vervet monkey group . Based on these observations we initially compared the δ13C and δ15N values of groups living in habitats that were noticeably impacted by humans to groups with little observable anthropogenic disturbance. We then placed each vervet monkey group into one of three categories (low, mid, high) with regard to anthropogenic disturbance. The two groups in the “low” anthropogenic disturbance category (Baviaanskloof/Geelhoutbos and Dronfield) inhabited ranges with little human modification, interacted with humans rarely, and were either rarely or never observed to consume human foods. Three vervet monkey groups that were classified in the “mid” category of anthropogenic disturbance (Benfontein, Oribi Gorge, and Soetdoring) lived in or used habitats modified by humans and were occasionally observed interacting with humans. These groups were observed begging and/or stealing foods from weekend picnic crowds. Thus, sporadic access to human foods supplemented their natural diets. Three vervet monkey groups were categorized as having “high” degrees of anthropogenic disturbance (Blyde Resort, Parys, and Pretoria) because they lived in resorts or city suburbs that were heavily modified by humans and because they consumed large amounts of human foods via provisioning or raiding of discarded human foods.
Map provided by United States Geological Society National Map Viewer (public domain).
Study Subjects, Data Collection, and Ethics Statement
Vervet monkeys were baited with maize and oranges and captured in traps that have been designed to minimize the risk of injury to the monkeys and humans and facilitate the administration of tranquilizers with minimal stress . All techniques for trapping, sedation and sampling were approved by the Interfaculty Animal Ethics Committee of University of the Free State and the Institutional Animal Care and Use Committee at the University of Wisconsin-Milwaukee. Traps were placed in quiet and shaded areas (i.e. under trees) to preclude heat distress within the home range of the trapped monkey. While in the traps, the monkeys were continuously monitored and showed no signs of distress unless approached by humans. Humans approached the traps only to release monkeys. Once sedated, the approximate age and sex of each individual was recorded. Age was determined for subadults by dental eruption sequences. Although the chronological age of adults could not be determined, wear patterns indicated older adults. We also collected body and dental morphometric measurements, and hair was collected from the upper shoulder. The overall physical health of each animal was also accessed and recorded. After examinations, each monkey was safely released near the site of their capture when the effects of their sedation were no longer observable.
Laboratory and Data Analysis
Hair samples were washed with ethyl alcohol, cut with a razor blade, weighed (~700 micrograms), and placed in tin capsules. Samples were combusted in an elemental analyzer (Carlo-Erba, Milan, Italy) and analyzed for stable carbon and nitrogen isotope abundances using a flow-through inlet system on a continuous flow isotope ratio mass spectrometer (Finnigan, Bremen, Germany). 13C/12C and 15N/14N ratios are expressed using the conventional delta (δ) notation in parts per thousand or permil (‰) relative to the PeeDee Belemite (PDB) and atmospheric N2 standards respectively. We estimated the percentage of C4 (%C4) plant consumption for each group using the following formula from Schwarcz et al. :
Where δh is the measured value of the hair sample, Δdh is the fractionation factor of 3.2 for hair to diet , δ3 = −26.7‰ (an average value of South African C3 plants ) and δ4 = −12.8‰ (an average value of South African C4 plants ). To account for unequal variances and/or sample sizes, we used Welch’s analysis of variance (ANOVA) for all statistical analyses comparing groups and the three categories of anthropogenic disturbance using JMP Pro 10.0 and the Games-Howell Test for all pairwise comparisons using Systat 13. We also used generalized linear models with δ13C and δ15N values as response variables and group, sex, and age as the explanatory variables in JMP Pro 10.0.
We present all δ13C and δ15N values in Table S1. The mean and standard deviations of hair δ13C and δ15N values and the estimated mean and range of C4 foods consumed (%C4) for each vervet monkey group are shown Table 1. There were significant differences in δ13C between the groups living in heavily disturbed habitats to those groups inhabiting environments with little anthropogenic disturbance (F1,23.2 = 19.5 P<0.001; Fig. 2a). We also found significant differences in δ15N (F 1,50.8 = 7.3 P<0.01; Fig. 2b); however these differences were not significant when we used the Wilcoxon signed-rank test (P = 0.26). Means and standard deviations for the δ13C and δ15N values for each of the vervet groups are also shown in Fig. 3. Generalized linear models revealed that the effect of group for carbon (P<0.001) and nitrogen (P<0.0001), but not sex (δ13C: P = 0.1; δ15N: F = 2.22; P = 0.71). For age, there was no effect for carbon (P = 0.09) but we found an effect for nitrogen (P<0.05). Since we found a group effect for both carbon and nitrogen we excluded age and sex as variables in subsequent analyses. There were highly significant differences between the eight vervet monkey groups for δ13C (F7, 28.2 = 78.9 P<0.0001). The Oribi Gorge group had the highest δ13C (−17.5‰ ±1.5; n = 9) while Baviaanskloof/Geelhoutbos was the lowest (−22.5‰ ±0.2; n = 8). Baviaanskloof/Geelhoutbos was significantly different from all groups (Games-Howell P<0.0001) and this vervet group inhabits a region that has abundant C3 grasses and very low human impact. Thus, the Baviaanskloof/Geelhoutbos group is close to ideal for having no engagement with C4 foods. When the eight groups were placed in categories of low, mid, and high levels of anthropogenic disturbance we found differences in δ13C (F2,31.9 = 15.8 P<0.0001). Unexpectedly, Oribi Gorge and Soetdoring had the highest mean for estimated percentage of consumed C4 foods, even though they were placed in the “mid” level of anthropogenic disturbance based on our initial field observations (Table 1). Pairwise comparisons between the low, mid, and high levels of anthropogenic disturbance were significant between the low and mid level (Games-Howell P<0.0001), mid and high level (Games-Howell P<0.0001), and the low and high comparison (Games-Howell P<0.05). Within group variation was highest at Oribi Gorge (range of 4.1‰) followed by Parys (range of 2.6‰), and Blyde Resort (range of 2.5‰) and lowest among Dronfield (range of 0.4‰), Benfontein (range of 0.6‰), and Baviaanskloof/Geelhoutbos (range of 0.6‰) (see Table S1).
For each figure the lowest values are blue and gradate to the highest values represented by red.
Each symbol represents the group mean and bars represent standard deviations. Green symbols represent vervet groups with low levels of human contact, red symbols for levels with mid levels of contact, and blue for those groups with high levels of human contact.
We also found highly significant differences for δ15N between the eight vervet groups (F7,27.9 = 42.0 P<0.0001). Pretoria had the lowest δ15N values (6.5‰ ±0.6, n = 14) while Benfontein (10.2‰ ±0.4, n = 5) was significantly higher than the other sites (Games-Howell P<0.01). There were also differences in δ15N values for the three categories of anthropogenic disturbance (F2,56.1 = 4.4 P<0.05) and the mid level category was higher than the low category (Games-Howell P<0.05). Within group variation for δ15N was highest at Parys (6.4‰), while no other group had a range greater than 2.5‰.
We found significant differences in the δ13C values of the eight vervet monkey groups. This was also true when the groups were placed in the categories of anthropogenic disturbance. Differences in δ13C values are most likely linked to the consumption of human processed foods enriched with C4 plants or the consumption of C4 crops. Many of the vervet monkey populations that we studied inhabited ecosystems that include of C3, C4, and CAM vegetation. However, behavioral observations revealed no consumption of wild C4 grasses and succulent CAM plants for any of the eight groups. Our prediction that all groups of vervet monkeys with high degrees of human contact and consumption of human foods would exhibit higher δ13C values was not completely supported. For example, the Parys and Pretoria groups both live in urban settings and high levels of C4 consumption were expected. C4 consumption was ~18% for Parys and ~20% for Pretoria, which is considerable and consistent with expectations for monkeys with access to human foods. However, C4 consumption for these groups was less than Oribi Gorge (~43%) and Soetdoring (~26%) which we placed in the “mid” level of anthropogenic disturbance based on initial behavioral observations (Table 1; Fig. 3). The Oribi Gorge group inhabits a nature reserve with low levels of observed human contact, yet these monkeys exhibited the highest δ13C values (−17.5‰ ±1.5‰) indicating substantial consumption of C4 resources. These initial results were puzzling; however, we later noted that the Oribi Gorge monkeys were leaving the reserve to raid sugarcane crops located at the reserve’s border. We found a similar scenario for the group that inhabits the Soetdoring Nature Reserve located outside of Bloemfontein. The Soetdoring group interacts only sporadically with tourists which is unlikely to account for its high δ13C values (−19.9‰ ±0.4‰) suggesting about 26% of its diet consisted of C4 foods (Table 1). However, further behavioral observations of the monkeys revealed that they were swimming across the Modder River that flows within the reserve to raid nearby maize crops. Thus, for some of the groups we studied, isotopes brought to light interactions with human foods that were not initially apparent.
We also found differences in the δ15N values of the eight groups as well as between categories of anthropogenic disturbance. Nitrogen isotope values are difficult to interpret since the δ15N of soils and plants that are incorporated into animal tissues arise from environmental factors linked to local and global nitrogen cycles and temperature and precipitation . Nonetheless, among the eight groups we studied, Benfontein exhibited the highest δ15N values. The Benfontein group is located approximately 20 km from Dronfield but is separated by the city of Kimberley which may be responsible for the differences δ15N values (Games-Howell P<0.01) we found. Given the close proximity between the two sites, the differences in the δ15N values we detected are likely linked the consumption of human foods as each site is characterized by similar habitats. The Benfontein vervet group occasionally interacted with humans and consumed human foods while the Dronfield vervets rarely interacted with humans (Table 1). More interaction with humans may lead to enrichment in δ15N values due to the availability of higher trophic level foods from humans, or the consumption of human foods with ingredients produced in areas with higher δ15N values. Among free-ranging Chacma baboons (Papio ursinus), higher fecal δ15N values were found in animals that were suspected to raid camp sites compared to animals in more remote areas . Moreover, a comparison of three wild ring-tailed lemur (Lemur catta) groups revealed that the group that consumed left over human foods at the research camp had the highest hair δ15N values . Alternatively, the Benfontein vervets may be relying more heavily on 15N enriched insects than the other seven vervet groups and this higher trophic position maybe responsible for the higher δ15N values .
The intragroup level variability we documented may be the result of individual feeding strategies or related to social rank and access to contested foods. The Oribi Gorge vervet monkeys exhibited the greatest variability in δ13C and ranged from −15.7‰ to −19.8‰, followed by the Parys group which ranged from −19.8% to −22.4‰ and the Blyde Resort group that ranged from −18.9‰ to −21.4‰ (Table S1). The Parys vervets exhibited the widest range for δ15N which may be an artifact of the sample size (N = 26) or due to differences in diet and/or individual health. Vervets live in groups with differential access to contested resources and highest ranking individuals may have more access to human processed foods with lower δ15N values due to artificial fertilizers. Alternatively, differences in δ15N may be the result of differences in health. Among free-ranging ring-tailed lemurs, some individuals in poor physical health had the highest δ15N values . Low ranking animals with less access to food which are experiencing nutritional stress may also exhibit higher δ15N values, a pattern that has been found among birds ,  and humans . The variation we found in δ15N values among the Parys group highlights the need for long-term feeding observational data paired with baseline isotope values of the foods that nonhuman primates eat in order to accurately interpret stable isotope values. Our prediction that those vervet monkey groups placed in the high anthropogenic disturbance category (Blyde Resort, Parys, and Pretoria) would have lower δ15N values based on the consumption of high levels of human processed foods was not supported. In fact, we found that the groups that were placed in the mid level category of anthropogenic disturbance (Benfontein, Oribi Gorge, and Soetdoring) had the highest δ15N values. It is difficult to predict what impact human foods would have on the δ15N values we found among these groups since the human foods that were consumed by these vervet groups can be produced at different locations (within South Africa and beyond) potentially driving their δ15N values either up or down.
The data presented here suggest that stable isotope analysis can be used for augmenting ethnoprimatological datasets but cannot replace traditional techniques in behavioral observations. Stable isotope values from hair provide feeding data over time and hair collected by ethnoprimatologists can reveal broad dietary patterns before the data collection commences or between field seasons. Stable carbon isotope values from hair reflect the dietary values from foods accrued over days or weeks . Fecal excreta, on the other hand, can be used to analyze the undigested portion of the diet and detect recent dietary switches or feeding patterns. As such, collecting tissues such as hair and excreta with observational feeding data should provide an accurate assessment of feeding patterns and habitat use. Another strength of stable isotope analysis is its ability to reveal cryptic feeding behavior (i.e. crop raiding or consuming human scraps) and assess the degree to which a nocturnal primate is consuming insects or small invertebrates for those ethnoprimatologists observing night-active primates. The study at hand demonstrated the utility of stable isotope analysis for estimating the degree to which humans impact the dietary patterns of free-ranging vervet monkeys by revealing that at least two groups (Oribi Gorge and Soetdoring) were crop raiding C4 plants. This is an important find, as vervet monkeys are considered pests in some South African provinces and crop raiding monkeys may be injured or killed. As such, using stable isotope analysis to detect crop raiding by nonhuman primates could be used as an effective tool to develop conservation initiatives and the implementation of deterrents that minimize stress to nonhuman primates. These measures may include the use of fire crackers, water hoses, chemicals that mimic the scent of predators, using sounds to replicate predators, or primate alarm calls .
Stable isotope analysis may add to ethnoprimatological studies by confirming or denying people’s perceptions about how local animals are behaving (i.e. consumption of their crops). However, to fully understand people’s attitudes toward the nonhuman primates they live among, conventional ethnoprimatological methods including interviews and questionnaires should not be abandoned. Quantitative and qualitative techniques have their own strengths and weaknesses and combining these methods can be synergistic, resulting in a more appropriate approach to understanding human-nonhuman primate dynamics. It is our hope that combining stable isotope analysis with behavioral observations and ethnographic techniques will not only shed light on human-nonhuman primate interactions in South Africa, but will better develop this technique as a tool for broader ethnoprimatological inquiries specifically related to identifying crop raiding, improving our understanding of nonhuman primate habitat utilization, and documenting anthropogenic effects on nonhuman primate behavioral ecology through time and space.
δ13C and δ15N values for each individual as well as their group affiliation and the degree to which the group was impacted by humans.
Collections and export of samples were conducted under permits and permissions issued by the following provincial conservation authorities between 2002 and 2010: the Department of Economic Development and Environmental Affairs, Eastern Cape; Department of Tourism, Environmental and Economic Affairs, Free State Province; Ezemvelo KwaZulu-Natal (KZN) Wildlife; Department of Economic Development, Environment and Tourism, Limpopo; the Department of Agriculture, Conservation and Environment, Mpumalanga and the Department of Environment and Nature Conservation, Northern Cape. We thank Lizanne Nel, formerly from the Limpopo Department of Economic Affairs, Environment and Tourism; Jean Harris (Ezemvelo KZN Wildlife); and Hannes Marais (Department of Agriculture, Conservation and Environment, Mpumalanga) who provided valuable assistance during planning and advice on initial sampling sites. We thank the veterinarians from Pietersburg Animal Clinic and Boulevard Animal Clinic, and independent veterinarian Lizanne Meiring, Murray Stokoe for assistance with the sedation of monkeys. Finally, we thank all landowners and the many field assistants involved in this project. We also received support from the University of Limpopo and the University of the Free State, South Africa. We thank Daryl Codron for his comments on this manuscript and Renée Walker for assistance in lab work and Michaela E. Howells and Pants France Howells.
Conceived and designed the experiments: JEL MS KM TRT. Performed the experiments: JEL MS KM. Analyzed the data: JEL MS KM. Contributed reagents/materials/analysis tools: JPG JGL TRT. Wrote the paper: JEL MS. Manuscript revision: JEL JPG MS TRT.
- 1. Tappen N (1960) Problems of distribution and adaptation of the African monkeys. Curr Anthropol 1: 91–120. doi: 10.1086/200088
- 2. Cardini A, Dunn J, O’Higgins P, Elton S (2013) Clines in Africa: does size vary in the same way among widespread sub-Saharan monkeys? J Biogeogr 40: 370–381. doi: 10.1111/j.1365-2699.2012.02783.x
- 3. Bi SG, Bené JCK, Bitty EA, Koné I, Zinner D (2009) Distribution of the green monkey (Chlorocebus sabaeus) in the coastal zone of Côte d’Ivoire. Primate Conserv 24: 91–97. doi: 10.1896/052.024.0107
- 4. Richard AF, Goldstein S, Dewar R (1989) Weed macaques: the evolutionary implications of macaque feeding ecology. Int J Primatol 10: 569–594. doi: 10.1007/bf02739365
- 5. Riley EP, Wolfe LD, Fuentes A (2011) Ethnoprimatology: contextualizing human and nonhuman primate interactions. In: Campbell CJ, Fuentes A, MacKinnin KC, Bearder SK, Stumpf RM, editors. Primates in perspective. Oxford: Oxford University Press. 676–686.
- 6. Fuentes A (2012) Ethnoprimatology and the anthropology of the human-primate interface. Annu Rev Anthropol 41: 101–117. doi: 10.1146/annurev-anthro-092611-145808
- 7. Riley EP (2006) Ethnoprimatology: toward reconciliation of biological and cultural anthropology. Ecological and Environmental Anthropology 2: 75–86.
- 8. Fuentes A, Wolfe LD (2002) Primates face to face: the conservation implications of human-nonhuman primate interconnections. Cambridge: Cambridge University Press.
- 9. Fuentes A, Hockings KJ (2010) The ethnoprimatological approach in primatology. Am J Primatol 72: 841–847. doi: 10.1002/ajp.20844
- 10. Riley EP, Ellwanger AL (2013) Methods in ethnoprimatology: exploring the human-non-human primate interface. In: Sterling E, Brynum N, Blair M, editors. Primate ecology and conservation: a handbook of techniques. Oxford: Oxford University Press. 128–150.
- 11. Crowley BE (2012) Stable isotope techniques and applications for primatologists. Int J Primatol 33: 673–701. doi: 10.1007/s10764-012-9582-7
- 12. Sandberg PA, Loudon JE, Sponheimer M (2012) Stable isotope analysis in primatology: a critical review. Am J Primatol 74: 969–989. doi: 10.1002/ajp.22053
- 13. Vogel JC, Fuls A, Ellis RP (1978) Geographical distribution of Kranz grasses in South Africa. S Afr J Sci. 74: 298–301.
- 14. Codron D, Brink JS, Rossouw L, Clauss M, Codron J, et al. (2008) Functional differentiation of African grazing ruminants: an example of specialized adaptations to very small changes in diet. Biol J Linn Soc 94: 755–764. doi: 10.1111/j.1095-8312.2008.01028.x
- 15. Sponheimer M, Codron D, Passey BH, de Ruiter DJ, Cerling TE, et al. (2009) Using carbon isotopes to track dietary change in modern, historical, and ancient primates. Am J Phys Anthropol 140: 661–670. doi: 10.1002/ajpa.21111
- 16. Ayliffe L, Cerling T, Robinson T, West A, Sponheimer M, et al. (2004) Turnover of carbon isotopes in tail hair and breath CO2 of horses fed an isotopically varied diet. Oecologia 139: 11–22. doi: 10.1007/s00442-003-1479-x
- 17. Cerling TE, Wittemyer G, Rasmussen HB, Vollrath F, Cerling CE, et al. (2006) Stable isotopes in elephant hair document migration patterns and diet changes. Proc Natl Acad Sci USA 103: 371–373. doi: 10.1073/pnas.0509606102
- 18. Sponheimer M, Lee-Thorp JA (2001) The oxygen isotope composition of mammalian enamel carbonate from Morea Estate, South Africa. Oecologia 126: 153–157. doi: 10.1007/s004420000498
- 19. Schoeninger MJ, DeNiro MJ (1984) Nitrogen and carbon isotopic composition of bone collagen from marine and terrestrial animals. Geochim Cosmochim Acta 48: 625–639. doi: 10.1016/0016-7037(84)90091-7
- 20. Hobson KA, Alisauskas RT, Clark RG (1993) Stable-nitrogen isotope enrichment in avian tissues due to fasting and nutritional stress: implications for isotopic analyses of diet. Condor: 388–394.
- 21. Murphy BP, Bowman DM (2006) Kangaroo metabolism does not cause the relationship between bone collagen δ15N and water availability. Funct Ecol 20: 1062–1069. doi: 10.1111/j.1365-2435.2006.01186.x
- 22. Bateman AS, Kelly SD (2007) Fertilizer nitrogen isotope signatures. Isotopes Environ Health Stud 43: 237–247. doi: 10.1080/10256010701550732
- 23. Schoeninger MJ, Iwaniec UT, Glander KE (1997) Stable isotope ratios indicate diet and habitat use in New World monkeys. Am J Phys Anthropol 103: 69–83. doi: 10.1002/(sici)1096-8644(199705)103:1<69::aid-ajpa5>3.0.co;2-8
- 24. Codron D, Lee-Thorp JA, Sponheimer M, de Ruiter D, Codron J (2006) Inter-and intrahabitat dietary variability of Chacma baboons (Papio ursinus) in South African savannas based on fecal δ13C, δ15N, and %N. Am J Phys Anthropol 129: 204–214. doi: 10.1002/ajpa.20253
- 25. O’Regan HJ, Chenery C, Lamb AL, Stevens RE, Rook L, et al. (2008) Modern macaque dietary heterogeneity assessed using stable isotope analysis of hair and bone. J Hum Evol 55: 617–626. doi: 10.1016/j.jhevol.2008.05.001
- 26. Lee-Thorp JA, van der Merwe NJ, Brain CK (1994) Diet of Australopithecus robustus at Swartkrans from stable carbon isotopic analysis. J Hum Evol 27: 361–372. doi: 10.1006/jhev.1994.1050
- 27. Codron D, Luyt J, Lee-Thorp JA, Sponheimer M, de Ruiter D, et al. (2005) Utilization of savanna-based resources by Plio-Pleistocene baboons. S Afr J Sci 101: 245–249.
- 28. Fourie NH, Lee-Thorp JA, Ackermann RR (2008) Biogeochemical and craniometric investigation of dietary ecology, niche separation, and taxonomy of Plio-Pleistocene cercopithecoids from the Makapansgat Limeworks. Am J Phys Anthropol 135: 121–135. doi: 10.1002/ajpa.20713
- 29. Loudon JE, Sponheimer M, Sauther ML, Cuozzo FP (2007) Intraspecific variation in hair δ13C and δ15N values of ring-tailed lemurs (Lemur catta) with known individual histories, behavior, and feeding ecology. Am J Phys Anthropol 133: 978–985. doi: 10.1002/ajpa.20605
- 30. Schurr MR, Fuentes A, Luecke E, Cortes J, Shaw E (2012) Intergroup variation in stable isotope ratios reflects anthropogenic impact on the Barbary macaques (Macaca sylvanus) of Gibraltar. Primates 53: 31–40. doi: 10.1007/s10329-011-0268-0
- 31. Struhsaker TT (1967) Ecology of vervet monkeys (Cercopithecus aethiops) in the Masai-Amboseli Game Reserve, Kenya. Ecology 48: 892–904. doi: 10.2307/1934531
- 32. Grobler P, Jacquier M, deNys H, Blair M, Whitten PL, et al. (2006) Primate sanctuaries, taxonomy and survival: a case study from South Africa. Ecological and Environmental Anthropology 2: 12–16.
- 33. Turner TR (1981) Blood protein variation in a population of Ethiopian vervet monkeys (Cercopithecus aethiops aethiops). Am J Phys Anthropol 55: 225–232. doi: 10.1002/ajpa.1330550211
- 34. Dracopoli N, Brett FL, Turner TR, Jolly CJ (1983) Patterns of genetic variability in the serum proteins of the Kenyan vervet monkey (Cercopithecus aethiops). Am J Phys Anthropol 61: 39–49. doi: 10.1002/ajpa.1330610105
- 35. Turner TR, Anapol F, Jolly CJ (1994) Body weights of adult vervet monkeys (Cercopithecus aethiops) at four sites in Kenya. Folia Primatol 63: 177–179. doi: 10.1159/000156815
- 36. Turner TR, Anapol F, Jolly CJ (1997) Growth, development, and sexual dimorphism in vervet monkeys (Cercopithecus aethiops) at four sites in Kenya. Am J Phys Anthropol 103: 19–35. doi: 10.1002/(sici)1096-8644(199705)103:1<19::aid-ajpa3>3.3.co;2-i
- 37. Cramer JD, Gaetano T, Gray JP, Grobler P, Lorenz JG, et al. (2013) Variation in scrotal color among widely distributed vervet monkey populations (Chlorocebus aethiops pygerythrus and Chlorocebus aethiops sabaeus). Am J Primatol 75: 752–762. doi: 10.1002/ajp.22156
- 38. Pampush JD (2010) Human food access and its effects on South African vervet body mass. Unpublished MS thesis. Milwaukee: University of Wisconsin-Milwaukee.
- 39. Grobler JP, Turner TR (2010) A novel trap design for the capture and sedation of vervet monkeys (Chlorocebus aethiops). S Afr J Wildl Res 40: 163–168. doi: 10.3957/056.040.0208
- 40. Schwarcz HP, Melbye J, Katzenberg MA, Knyf M (1985) Stable isotopes in human skeletons of southern Ontario: reconstructing palaeodiet. J Archaeol Sci 12: 187–206. doi: 10.1016/0305-4403(85)90020-2
- 41. Sponheimer M, Robinson T, Ayliffe L, Passey B, Roeder B, et al. (2003) An experimental study of carbon-isotope fractionation between diet, hair, and feces of mammalian herbivores. Can J Zool 81: 871–876. doi: 10.1139/z03-066
- 42. Codron J, Lee-Thorp JA, Sponheimer M, Codron D (2013) Plant stable isotope composition across habitat gradients in a semi-arid savanna: implications for environmental reconstruction. J Quaternary Sci 28: 301–310. doi: 10.1002/jqs.2614
- 43. Amundson R, Austin A, Schuur E, Yoo K, Matzek V, et al. (2003) Global patterns of the isotopic composition of soil and plant nitrogen. Global Biogeochem Cycles 17: 31. doi: 10.1029/2002gb001903
- 44. Schoeninger MJ, Iwaniec UT, Nash LT (1998) Ecological attributes recorded in stable isotope ratios of arboreal prosimian hair. Oecologia 113: 222–230. doi: 10.1007/s004420050372
- 45. Cherel Y, Hobson KA, Bailleul F, Groscolas R (2005) Nutrition, physiology, and stable isotopes: new information from fasting and molting penguins. Ecology 86: 2881–2888. doi: 10.1890/05-0562
- 46. Mekota A, Grupe G, Ufer S, Cuntz U (2006) Serial analysis of stable nitrogen and carbon isotopes in hair: monitoring starvation and recovery phases of patients suffering from anorexia nervosa. Rapid Commun Mass Sp 20: 1604–1610. doi: 10.1002/rcm.2477
- 47. Jones-Engel L, Engel G, Gumert MD, Fuentes A (2011) Developing sustainable human–macaque communities. In: Gumert MD, Fuentes A, Jones-Engel L, editors. Monkeys on the edge: ecology and management of long-tailed macaques and their interface with humans. Cambridge: Cambridge University Press. 295–327.