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Habitat Degradation and Seasonality Affect Physiological Stress Levels of Eulemur collaris in Littoral Forest Fragments

Abstract

The littoral forest on sandy soil is among the most threatened habitats in Madagascar and, as such, it represents a hot-spot within a conservation hot-spot. Assessing the health of the resident lemur fauna is not only critical for the long-term viability of these populations, but also necessary for the future re-habilitation of this unique habitat. Since the Endangered collared brown lemur, Eulemur collaris, is the largest seed disperser of the Malagasy south-eastern littoral forest its survival in this habitat is crucial. In this study we compared fecal glucocorticoid metabolite (fGCM) levels, a measure of physiological stress and potential early indicator of population health, between groups of collared brown lemurs living in a degraded forest fragment and groups occurring in a more preserved area. For this, we analysed 279 fecal samples collected year-round from 4 groups of collared brown lemurs using a validated 11-oxoetiocholanolone enzyme immunoassay and tested if fGCM levels were influenced by reproductive stages, phenological seasons, sex, and habitat degradation. The lemurs living in the degraded forest had significantly higher fGCM levels than those living in the more preserved area. In particular, the highest fGCM levels were found during the mating season in all animals and in females during gestation in the degraded forest. Since mating and gestation are both occurring during the lean season in the littoral forest, these results likely reflect a combination of ecological and reproductive pressures. Our findings provide a clear indication that habitat degradation has additive effects to the challenges found in the natural habitat. Since increased stress hormone output may have long-term negative effects on population health and reproduction, our data emphasize the need for and may add to the development of effective conservation plans for the species.

Introduction

The term “stressor” is used to refer to any internal or external stimuli that perturb homeostasis of living organisms [1], [2]. There are several potential stressors for free-ranging animals. These can be natural, such as adverse climatic factors [3], high predation pressure [4], decrease in food availability [5], social aggression or competition [6], or anthropogenic, such as habitat degradation and fragmentation [7], [8], logging and hunting [9], and noise pollution [10].

In support of behavioural studies, hormonal studies have been recently used to assess animals' adaptability to such challenges and their welfare [11][13]. In vertebrates, stressors, depending on their severity, may cause a physiological response that entails an increase in glucocorticoid (i.e., a class of steroid hormones) secretion from the adrenal cortex [1], [14]. This response is considered adaptive in helping the animal to face critical periods that are threatening to homeostasis [13], [15], [16].

In spite of the positive short-term effects, the action of glucocorticoids may cause severe problems when animals are exposed to long-term (chronic) stressors [14], [17]. Among the most common problems caused by long-term elevated glucocorticoid levels are immune suppression, atrophy of tissue, reproductive suppression, gastric ulcers, and muscle wasting [18][21]. Furthermore, species with slow life histories, such as primates, may be particularly strongly impacted by lost reproductive opportunities resulting from chronic stress [22]. Since chronic stressors can lead to health risks [19], [23], high glucocorticoid levels are often assumed to indicate lower individual fitness or population viability [17]. However, this generalized view is debated, since recent studies suggest a complex relationship between glucocorticoids, stressors, and fitness [5], [24][26]. Despite the associated fitness costs, chronic stress has been proposed to evolve in species where it has an adaptive role in helping to face long-term stressors [13].

Reproductive stages may considerably affect glucocorticoid levels in vertebrates [27]. In the case of primates, physiological stress levels have been shown to increase in males during mating seasons as a consequence of high reproductive competition [28][34], but not in species where mate competition is low [22], [35], [36]. Females, on the other hand, have higher energetic demands during gestation and lactation and this may also lead to higher physiological stress [34], [37][41]. This seems to hold true despite the fact that, in primates, females have been shown to have lower energetic costs during reproductive stages than other mammals of similar size [42][44]. Furthermore, females are expected to have higher glucocorticoid levels during gestation than during lactation because of (1) placental release of corticotropin-releasing hormone which directly affects both fetal and maternal HPA-axis activity (reviewed by [45]), (2) increased synthesis of cortisol binding corticosteroid-binding globulin, (e.g. [46]) and (3) pregnancy-related increases in levels of estrogens (e.g. [47]).

Habitat disturbance has also been found to be associated with physiological stress in primates [48][51] and in other vertebrate species [52][55]. Anthropogenic disturbance is a widespread phenomenon in Madagascar where a large proportion of the original habitats have been lost [56], [57]. Forest disturbance due to anthropogenic pressure has been shown to reduce food availability and diversity, emphasizing the ecological unpredictability of the island [58]. In fact, Madagascar has been shown to differ from other primate habitats, due to its relatively unpredictable rainfall which leads to irregular fruiting patterns, making these environments challenging especially for frugivores [58], [59]. Despite this, recent studies have highlighted some degree of flexibility in frugivorous lemurs, which demonstrate a level of tolerance to habitat disturbance [60], [61]. Several frugivorous lemurs respond to habitat disturbance by integrating fallback food species and/or by shifting to a more folivorous diet [62], [63]. Additionally, activity patterns and ranging behaviour may be modified in order to maximize resource access or, alternatively, to conserve energy [64], [65].

The littoral forest of South-Eastern Madagascar is one of the most threatened habitats on the island with only a few hundred hectares of fragmented forest left [66], [67]. The Endangered collared brown lemur, Eulemur collaris, is the largest frugivorous lemur living in these forests, where it shows high social and ecological flexibility [61], [68]. However, a reduction of food availability and quality [61], [69] and an increase in parasite load [70] in the more disturbed areas indicate that these lemurs may be exposed to high physiological stress which, in turn, may lead to increased health risks. Since Eulemur collaris is also the largest seed disperser in the littoral forest [71] its survival in this habitat is crucial. Thus, assessing the impact of habitat disturbance on the stress physiology and welfare of this species is not only important for the long-term viability of the local populations, but also necessary for the future re-habilitation of this unique habitat [72].

In this paper, we examined how reproductive and phenological seasons, habitat degradation, and sex affect the physiological responses of collared brown lemurs. This response was investigated by comparing fecal glucocorticoid metabolite (fGCM) levels [73] between groups living in a degraded fragment (Mandena) and groups living in a more preserved fragment of littoral forest (Sainte Luce) in South-Eastern Madagascar. Fecal samples can be easily collected without disturbing the animal, thereby allowing frequent sampling, even over a long time period [74], thus they can be used as a powerful non-invasive measure of physiological stress levels in free-ranging animals [1], [12], [17], [37].

This study aims to elucidating whether the behavioural and ecological flexibility previously recorded in collared brown lemurs living in littoral forest fragments [61] may be sufficient to compensate for the non-optimal environment or whether the animals show increased signs of physiological stress.

Against this background we predicted higher fGCM levels:

  1. In males during the mating season compared to other reproductive stages, because the mating season represents a period with pronounced reproductive competition in many species of primates;
  2. In females during gestation and lactation compared to other reproductive stages, because of the expected higher energy demands;
  3. During the lean season than during the season of abundance since the former is expected to be a time of food shortage in forest fragments due to low levels of fruit availability;
  4. In the more degraded forest during stressful reproductive stages and the lean season, since anthropogenic disturbance may amplify fruit shortage and potentially increase exposure to climatic fluctuations and predators.

Materials and Methods

Ethics Statement

We conducted this study with the authorization of the Commission Tripartite of the Direction des Eaux et Forêts de Madagascar (Autorisation de recherche n.29/11/MEF/SG/DGF/DCB.SAP/SCB du 20/01/11) and this research was ethically approved by the University of Pisa (Animal Care and Use Board). We captured the adult individuals via cages, using banana slices as bait, and we rapidly anesthetized them with Zoletil 100 (5 mg/kg of tiletamine hydrochloride). All animals recovered from anesthesia within 1.5 hours and were subsequently released at the site of capture. The lemurs were followed until regaining full mobility in trees, and there were no injuries as a consequence of the captures.

Study Sites and Subjects

The data were collected in two littoral forest areas from February 2011 to January 2012: Mandena (MAN) and Sainte Luce (STL) in South-East Madagascar. The Conservation Zone of MAN (24°57′S, 47°0′E) consists of two fragments of around 240 ha of degraded littoral forest [75]. The average canopy height in MAN is 8.9±SD 4.4 m [69]. The second study site, the littoral forest of STL (24°46′S, 47°10′E), around 30 km North of Fort Dauphin, is among the most intact littoral ecosystems in Madagascar and contains a very high diversity of vegetation [66]. The study area was located in a 252-ha-fragment of well-preserved littoral forest and swamp, 190 of which are included in the Conservation Zone [75]. The average canopy height in STL is 14.7±SD 4.3 m [69]. Previous botanical analyses illustrate that floristically MAN and STL represent the same habitat although structural differences indicate higher degradation in the former area [69]. Several lemur-focused studies confirm that MAN contains lower quality resources than STL in terms of fruit nutritional values and size of feeding trees [61], [65].

Eulemur collaris is a medium-sized lemur with body mass of 2.15±SD 0.25 kg and body length of 46.1±SD 2.6 cm [61]. These lemurs live in multi-male multi-female groups and show no clear dominance of one sex [61], [76]. In this study we analysed hormonal data collected from all adult individuals of four different groups (n = 22): two groups in MAN (group AB and group C), and two groups in STL (group A and group B).

To ensure continuous observations of the groups, four animals (one for each group) were captured and equipped with radio-collars in order to monitor them via the use of radio-telemetry (Biotrack). Collection of fecal samples began approximately one month after capturing the animals to minimize the risk that fGCM levels were influenced by the capture event itself. Individuals were identified via collars as well as individual characteristics such as age, sex, size, canine length, tail shape, fur colour, and other distinctive traits.

Fecal sample collection and GC analysis

Each habituated group was followed four days (from 6 a.m. to 6 p.m.) per month in order to collect fecal samples and behavioral observations. A total of 279 fecal samples were collected from 22 subjects (mean per individual: 12.7±SE 0.3; range: 2–25). Each individual was sampled every 18.0±SE 1.9 days (range: 8.3–44.3 days). The samples were collected immediately after defecation. Site, group, date, time, and identity of the donor were recorded. Fecal samples were preserved in 10 ml tubes with 96% ethanol and stored at room temperature for 7–12 months before further processing for hormone analysis [77].

We collected 12 additional fecal samples to evaluate possible degradation of fGCM concentrations over one-year storage as reported for other species [78], [79]. For this, each fecal sample was divided into three aliquots and stored in ethanol as described above. Aliquots were kept at the field station at ambient temperature before being processed (see below), thus simulating the conditions under which the study samples were collected and stored. The first aliquot was extracted after 3 months, while the other two aliquots were extracted after 6 and 12 months, respectively, in order to match the longest storage time study samples were stored in ethanol. Fecal extracts were stored at −20°C before the final hormone analysis. The results showed no significant effect of storage duration on fGCM levels (RM ANOVA: Storage effect: F2,22 = 1.44, p = 0.258), a finding in line with what was found in Propithecus verreauxi [32] and in Eulemur rufifrons [33]. Thus, there was no indication that variation in storage duration biased our hormone data.

Fecal samples for hormone analyses were homogenized in their original ethanolic solvent by mechanical squashing of the fecal pellets with a metal stick. The ethanolic fecal suspension (including a 2-mL ethanol rinse) was decanted into a 50-mL propylene tube, and steroids were extracted by vortexing for 15 min. Following centrifugation at 3000 rpm for 10 min the supernatant was decanted, the exact volume recorded and stored at −20°C until analysis [77]. The remaining fecal pellets were dried in an oven to a constant weight and the dry weight of individual samples was determined in order to compensate for differences in fecal fibers and water content [80].

Fecal extracts were analyzed for immunoreactive 11oxoetiocholanolone (3α,11oxo-CM), a group specific measurement of 5-reduced cortisol metabolites with a 3α,11oxo-structure [81]. The assay has been successfully applied to monitor adrenocortical activity and glucocorticoid output from fecal samples in various primate species (e.g. [81]), including other species of lemurs [32], [82]. It has also been used successfully to monitor physiological stress in the redfronted lemur (Eulemur rufifrons [33]), a species closely related to the collared brown lemur. We used reverse-phase high pressure liquid chromatography analysis (HPLC) to characterize the immunoreactive metabolites measured by the 11oxoetiocholanolone EIA. HPLC was carried out as described by Heistermann et al. [81]. To evaluate possible sex differences in 11oxoetiocholanolone immunoreactivity profiles, we performed HPLC on both a male and a female sample. HPLC also allowed us to evaluate whether certain fecal androgens, which could potentially be detected by antibodies raised against cortisol metabolites [81], [83], were co-measured by the 11oxoetiocholanolone EIA.

HPLC analysis indicated that almost all immunoreactivity was detected as distinct peaks between fractions 9 and 31 - positions where cortisol metabolites in our HPLC system elute (Fig. 1) [81]. The similarity between HPLC glucocorticoid immunoreactivity profiles from the collared brown lemur samples and those derived from fecal samples of other primate species [81], including the redfronted lemur [33], strongly suggests that the11oxoetiocholanolone assay is reliable in detecting glucocorticoid output in our study species. In this respect, the presence of only small amounts of immunoreactivity measured after fraction 40 (positions where certain potentially cross-reacting androgen metabolites elute [81]) suggests a low degree of co-measurement of these androgens in our assay (Fig. 1). Furthermore, HPLC profiles were almost identical between the male and female sample in terms of both number and elution position (i.e. characteristic) of metabolites measured, indicating that the 11oxoetiocholanolone assay measures the same immunoreactive compounds in both males and females.

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Figure 1. HPLC profiles of Eulemur collaris.

HPLC profiles of immunoreactivity detected with the 3α,11oxo-CM assay in a male (black circles) and female (white triangles) fecal sample extract. Arrows indicate elution positions of reference standards (1) cortisol (fraction 15), (2) corticosterone (22), (3) 11β-hydroxyetiocholanolone (23/24), (4) 11-oxoetiocholanolone (29), (5) βandostrane-3,11,17-trione (36), (6) testosterone (44), (7) androstendione, dehydroepiandrosterone (55/56), (8) epiandrosterone, 5β-DHT, 5β-androstrane-3β-ol-17-one (72), (9) 5β-androstrane-3α-ol-17-one (82/83), (10) androsterone (100).

https://doi.org/10.1371/journal.pone.0107698.g001

For measurement of 3a,11 oxo-CM levels, fecal extracts were diluted (1∶20 to 1∶600 depending on concentration) with assay buffer (0.04 M PBS, pH 7.2) and duplicate 50 µl aliquots were measured by microtiterplate EIA along with 50 µl aliquots of reference standard in doubling dilutions over the range of 1.02–125 pg [81]. Briefly, following incubation of the plates overnight at 4°C, the plates were washed three times and incubated with 150 µl streptavidin–peroxidase (HRP) for 30 min in the dark at room temperature after which (following a second washing step) 150 µl of HRP-substrate solution was added to each well. Following substrate incubation (45 min), the enzyme reaction was stopped with 50 µl 2 M H2SO4 to each well and absorbance was measured at 450 nm (reference 630 nm) on a plate reader. Sensitivity of the assay was 3 pg. Serial dilutions of fecal extracts from samples of different animals gave displacement curves parallel to that obtained for the standard (t-test for difference in slopes between sample dilution curve and standard curve: t11 = 0.669, p = 0.517). Intra-assay coefficients of variation (CV) for low- and high value quality controls were 7.7% (n = 16) and 6.9% (n = 16), respectively. Respective figures for inter-assay CV values were 10.3% (n = 20) and 14.5% (n = 20). All hormone levels reported are expressed as ng/g dry fecal mass.

Data analyses

In order to evaluate the effect of food availability on fGCM levels, we distinguished between a lean season (April–October) and a season of food abundance (November–March). The two seasons were distinguished on the basis of previous multi-annual studies in STL [84] and phenological data collected in MAN during our study period [65].

In order to evaluate the effect of the reproductive stages, we distinguished between four main stages: mating (May to mid-June), gestation (mid-June to September), lactation (October to December), and non-reproductive (January to April) [85].

All 279 fecal samples collected from the 22 adult individuals were used in the analyses. All adult females gave birth during the study period. Statistical comparisons were conducted using a General Linear Mixed Model (GLMM) with reproductive stages (nested in phenological seasons), sites, and sexes as fixed factors, and individuals as a random factor. Both main effects and two-way interaction effects were evaluated in the model. We controlled for the time of the day (morning or afternoon) when each sample was collected by including it in the model as fixed factor, since it has been shown to potentially affect fGCM levels [41], [86]. In fact, the fGCM levels were higher during the afternoon (median: 766.5 ng/g, quartiles: 438.5–1439.8 ng/g, n = 181) than during the morning (median: 600.3 ng/g, quartiles: 424.9–1013.3 ng/g, n = 98) (GLMM, Time of day: F1,265 = 6.14, P = 0.014). We also included in the model the sample weight as a covariate (fixed effect) to control for the potential effects of the fecal mass on hormone concentrations [86]. The sample weight was negatively correlated with the fGCM levels (GLMM, Weight: F1,265 = 67.15, p<0.001).

We used Duncan's tests as post hoc analyses. We tested for normal distribution of residuals (Kolmogorov-Smirnov test) and equality of variances (Levene's test) as underlying assumptions of the GLMM. Residual values of fGCM levels were not normally distributed and therefore the data were ln transformed. We performed all tests with SPSS 21.0 considering p<0.05 as threshold of significance.

Results

The fGCM levels excreted by the 22 adult individuals (Fig. 2) did not differ between males (median: 666.1 ng/g, quartiles: 361.4–1318.5 ng/g, n = 164) and females (median: 740.1 ng/g, quartiles: 487.2–1309.1 ng/g, n = 115) (GLMM, Sex: F1,265 = 1.54, p = 0.216).

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Figure 2. Fecal glucocorticoid metabolite levels of Eulemur collaris over the study period.

The figure shows standardized residuals of lnfGCM after controlling for the sample weight. MAN: Mandena, STL: Sainte Luce. Lean: May–October 2011, Abundance: February–April 2011 and November 2011–January 2012. Mating: 1st May–15th July, Gestation: 16th July–30th September, Lactation: 1st October–31st December, Non-reproductive: 1st January–30th April. Values are means and standard errors.

https://doi.org/10.1371/journal.pone.0107698.g002

The fGCM levels differed between the four reproductive stages (GLMM, Reproductive stage: F3,265 = 2.62, p = 0.048), with a median of 1307.6 ng/g (quartiles: 710.9–2291.2 ng/g, n = 19) during mating, 766.5 ng/g (quartiles: 445.2–1473.1 ng/g, n = 111) during gestation stage, 612.4 ng/g (quartiles: 358.6–1132.4 ng/g, n = 115) during lactation stage, and 638.7 ng/g (quartiles: 474.6–990.3 ng/g, n = 34) during the non-reproductive stage. The fGCM levels during the mating season were higher than during gestation (Duncan: p = 0.003), lactation (p<0.001), and non-reproductive (p<0.001) stages.

The lemurs also had higher fGCM values during the lean season (median: 803.5 ng/g, quartiles: 463.3–1473.8 ng/g, n = 180) than during the season of food abundance (median: 569.3 ng/g, quartiles: 355.0–1002.0 ng/g, n = 99) (GLMM, Phenological season: F1,265 = 12.72, p<0.001).

The fGCM levels were higher in MAN (median: 870.2 ng/g, quartiles: 546.3–1714.9 ng/g, n = 126) than in STL (median: 590.9 ng/g, quartiles: 401.1–1014.6 ng/g, n = 153) (GLMM, Site: F1,265 = 20.27, p<0.001).A different pattern was found between the two sexes during the four reproductive stages (GLMM, Sex* Reproductive stage: F3,265 = 2.95, p = 0.033). In particular, males during the mating season had higher fGCM levels than during the periods corresponding to female gestation (Duncan: p = 0.004), lactation (p<0.001), and non-reproductive stage (p<0.001). Females during lactation had lower fGCM levels than during mating (p = 0.008) and gestation (p = 0.030). Interaction effects indicated that the two sexes did not show a different pattern between the two sites (GLMM, Sex*Site: F1,265 = 0.10, p = 0.755) and between the two phenological seasons (GLMM, Sex*Phenological season: F1,265 = 0.11, p = 0.742) (Table 1 and Table 2).

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Table 1. Fecal glucocorticoid metabolite levels (ng/g) in males of Eulemur collaris over the study period.

https://doi.org/10.1371/journal.pone.0107698.t001

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Table 2. Fecal glucocorticoid metabolite levels (ng/g) in females of Eulemur collaris over the study period.

https://doi.org/10.1371/journal.pone.0107698.t002

Results of pair-wise comparisons of mean differences between sites, reproductive stages, and phenological seasons for ln transformed fGCM values in males and females are shown in Table 3 and Table 4, respectively.

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Table 3. P values of pair-wise comparisons of mean differences between sites in ln transformed fGCM values across different reproductive stages in males of Eulemur collaris (Duncan post-hoc).

https://doi.org/10.1371/journal.pone.0107698.t003

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Table 4. P values of pair-wise comparisons of mean differences between sites in ln transformed fGCM values across different reproductive stages in females of Eulemur collaris (Duncan post-hoc).

https://doi.org/10.1371/journal.pone.0107698.t004

Discussion

Consistent with our predictions, the highest fGCM values were found in females during the gestation period in the degraded forest of MAN and in males during the mating season in both sites. Phenological season also played a role in shaping the fGCM output with higher values exhibited during the lean season, whilst sex had no significant effect. Fecal glucocorticoid metabolite levels were higher during the afternoon rather than during the morning, a characteristic of nocturnal animals which, from a chronobiological perspective, Eulemur species belong to [87]. The covariate sample weight also significantly influenced the fGCM output.

As predicted, in males we found higher fGCM levels during the mating season than during the other reproductive stages. Mating season appears to be a stressful period also for male mouse lemurs (Microcebus murinus [28]), male ring-tailed lemurs (Lemur catta [31], [34]), male sifakas (Propithecus verreauxi [32]), and male red-fronted lemurs (Eulemur rufifrons [33]). In fact, during this study, collared brown lemur males showed higher aggression rates during the mating season as compared to the other reproductive stages (Serra et al., unpublished data). It is reasonable to assume that the higher fGCM levels found during this time of the year may be related to a general increase of aggression rates and high reproductive competition [88]. Increased aggression rates have been shown to affect fGCM levels in males of other primate species, such as Eastern chimpanzees (Pan troglodytes [29]), chacma baboons (Papio ursinus [30]), Verreaux's sifakas (Propithecus verreauxi [32]) and in males of other vertebrates (wolves, Canis lupus, [89]; bison bulls, Bison bison, [90]; American alligators, Alligator mississippiensis, [91]). Conversely, low physiological stress levels have been observed in species where mate competition is low, such as males of muriquis (Brachyteles arachnoides, [35]), tufted capuchin monkeys (Cebus apella, [36]), and red-bellied lemurs (Eulemur rubriventer [22]), while no differences were found between mating and non-mating seasons in male rhesus macaques (Macaca mulatta, [92]).

In our study, we also found high fGCM levels in females during the mating season, suggesting that this period may also be stressful for them. This is in accordance with findings on other primates (e.g. South-american squirrel monkeys, Saimiri sciureus, [93], [94]) and mammals (e.g. giant pandas, Ailuropoda melanoleuca, [95], [96]) where the GC elevation has been attributed to the effects of ovarian cycling and general anxiousness. However, we must consider that our results indicate a very high variability within the mating season, which may be due to two confounding factors. Firstly, we had a small sample size due to the very short mating season [58], and we may have accidentally included samples belonging to the previous and/or the subsequent reproductive stage. Secondly, individuals may have different levels of physiological stress depending on their dominance status [97].

By far, the highest fGCM levels were found in females in the more degraded site during gestation (see Fig. 2). It is well known that gestation represents a serious challenge for females, as during this period they have increased energetic demands, as previously shown for females of ring-tailed lemurs (Lemur catta, [37]), white faced capuchins (Cebus capucinus, [40]), and other mammalian species (little brown myotis, Myotis lucifugus, [98]; red squirrels, Tamiasciurus hudsonicus, [99]). Higher glucocorticoid levels during gestation may not necessarily correspond to higher physiological stress, however, since placental hormones and fetal estrogens also stimulate cortisol production [100]. In the Malagasy littoral forest, the physiological increase in glucocorticoid levels due to gestation may be enhanced by the additional physiological stress due to the concomitant lean season [84]. However, the significantly lower fGCM levels found in the females inhabiting the less disturbed fragment during gestation strongly suggests that the degraded habitat conditions are largely responsible for this effect. Interestingly, during gestation in the degraded forest males had similar fGCM levels as the females within the same site. This supports the idea that habitat degradation and seasonal food availability override the potential effect of female reproductive state on fGCM levels. The fact that pregnant females showed relatively low levels of fGCM in the less disturbed area is also in line with previous studies showing that lemurs minimize maternal energetic investment during gestation [100].

Contrary to other studies, collared brown lemur females did not show high fGCM levels during lactation, a potentially stressful period for females due to the burden of infant carrying and maternal care (ring-tailed lemurs, Lemur catta, [34], [38], but see [101]; Assamese macaques, Macaca assamensis, [102]; rhesus macaques, Macaca mulatta, [39]). The lack of elevated fGCM levels in lactating females of collared brown lemurs may have been caused by the overriding effect of the concomitant increase in food availability. Similar results have been shown in Lemur catta at Beza Mahafaly which also showed low physiological stress levels during lactation [37]. In fact, lactation in collared brown lemurs is synchronized with the transition from the lean season to the season of food abundance, when young leaves and ripe fruits increase in their availability [56], [84], [103]. Additionally, primates produce some of the most dilute milk of all mammals [42] and, in particular, milk-producing costs for Eulemur species are among the lowest amongst primates [104].

As expected, we found that seasonality had a strong effect on fGCM output in collared brown lemurs. This was in the expected direction as we found higher fGCM values during the lean season, when fruit availability was low [65]. In primates physiological stress levels have been repeatedly found to be shaped by fruit availability (olive baboons, Papio anubis, [105]; ring-tailed lemurs, Lemur catta, [37], [38]; chimpanzees, Pan troglodytes, [29]; black howler monkeys, Alouatta pigra, [106]; yellow baboons, Papio cynocephalus, [107]; Mexican howler monkeys, Alouatta palliata, [51]) and periods of presumed nutritional stress (Eastern red colobus, Procolobus rufomitratus, [108]). In particular, in MAN, the percentage of tree species with ripe fruits averaged 4.4% during the mating season and the gestation period while it stands at 14.2% during lactation and non-reproductive stages [65]. Thus, low fruit availability seems to have an additive effect on reproductive stages and habitat degradation, and the combination of these three factors is likely to reflect fGCM output in our study species.

This study clearly indicates that levels of fGCM were higher for collared brown lemurs in the degraded forest fragment of MAN when compared to lemurs in the more preserved forest of STL, suggesting a higher level of physiological stress in animals living in disturbed areas. The most likely explanation for this difference may be found in the lower levels of food availability [65] and quality [61] recorded in MAN as compared to STL which may result in increased nutritional stress. Other stressors, such as a higher predation risk in the disturbed, more open MAN forest, may have contributed to the recorded difference. In support of this, the lemurs' primary predator, the fossa (Cryptoprocta ferox), was reported several times in MAN but not in STL over the last decade [109].

Previous studies show that collared brown lemurs in the degraded forest shape their ranging, feeding, and activity pattern to cope with a decrease in food abundance [61], [65]. In particular, lemurs in MAN during our study period had larger home ranges and traveled shorter daily distances than lemurs in STL [65]. Our results indicate that, although the collared brown lemurs seem to cope with habitat degradation by changing their behavioral ecology, living in a degraded forest area nevertheless increases physiological stress. This may have an effect on the long-term viability of the population. These effects may include higher vulnerability to diseases, reduced reproduction, and even a higher mortality rate [17]. Our finding of a higher parasite burden for the lemurs in MAN as compared to those in STL [70] is in accordance with this, and may indicate that elevated glucocorticoid levels do pose a health risk to the animals, although the cause-and-effect relationship between these two parameters is not entirely clear.

Our findings are in line with other recent studies which found that habitat degradation and fragmentation are associated with an increase in GC outputs in a variety of primates (Eastern red colobus, Procolobus rufomitratus, [108]; black howler monkeys, Alouatta pigra, [49]; Yucatan spider monkeys, Ateles geoffroyi, [50]; Mexican howler monkyes, Alouatta palliata, [51]; but see [9] for effect of logging and hunting on brown spider monkeys, Ateles hybridus and red howler monkeys, Alouatta seniculus) and other animal species (American redstarts, Serophaga ruticilla, [52]; spotted salamanders, Ambystoma maculatum, [53]; African savanna elephants, Loxodonta africana, [54]; agile antechinus, Antechinus agilis, [55]; see also [110] for effects of human disturbance on elks, Cervus elaphus, and wolves, Canis lupus). Conversely, the only previous study which compared lemurs' fGCs levels in disturbed and undisturbed habitats [22] showed opposite results. In the latter study, red-bellied lemurs (Eulemur rubriventer) in the undisturbed forest of Ranomafana showed higher fecal cortisol levels than those in the disturbed habitat during the lean period. This result might be explained by an attenuated response to prolonged stress to reduce costs of continued stress hormone production [14]. In fact, Eulemur rubriventer in the disturbed habitat showed higher infant mortality [22]. Conversely, lemurs in MAN have birth and mortality rates similar to those in STL [84] and in other more preserved forests [111]. Thus, lemurs in MAN do not give indications of an attenuated response to habitat degradation, but they do not seem to exhibit any clear negative effects at the population level. Furthermore, Eulemur rubriventer in Ranomafana relied on the exotic Psidium cattleianum in the disturbed area, and this might have shielded them during lean periods [22]. In fact, exotic fruits are known to sometimes provide a nutritionally higher resource and a longer temporal availability than native species [112]. Contrary to Tecot's study [22], collared brown lemurs do not seem to rely on exotic species in MAN [61] and this may also explain the high fGCM levels detected during the lean season.

In addition to Tecot [22], studies on other animals (bighorn sheep, Ovis canadiensis [113]; Canadian grizzly bears, Ursus arctos, [114]; African forest elephants, Loxodonta cyclotis, [115]; spotted salamanders, Ambystoma maculatum, [53]) found higher fGCM in undisturbed habitats. Thus, the hypothalamic–pituitary–adrenal axis response may differ between species [13] and the relationship between GC levels and stressors may be not so clear-cut.

Another possible stressor that may have influenced the higher fGCM levels found in lemurs living in MAN is their proximity to a mining site. The area of MAN in which the study took place is in fact very close to the machinery set up in the region to extract titanium deposits [116]. This may have exposed the lemurs to chronic stressors such as anthropogenic noise and light pollution. In particular, noise pollution may lead to behavioural changes [10] and to an increase in fGCM levels [117]. Eulemur collaris is a species known to shape its 24-h activity depending on luminosity [68], [118]. Hence, artificial light pollution may potentially alter the species behaviour. For example, human activities have been shown to alter the activity budget of bighorn sheep [113]. Further studies focusing on these aspects may give a clearer insight on the impact of mining on the area.

Conclusions

By comparing fGCM levels in collared brown lemurs living in a degraded and in a more preserved forest fragment, we found higher fGCM levels occur in those individuals living in the former situation, which appears to be a stressful environment. Higher fGCM levels in disturbed habitats suggest that coping with a harsher environment has a cost of increased physiological stress in these lemurs. This study underlines the importance of physiological investigations to assess population health of threatened species and the potentially detrimental effect of habitat loss on animal welfare. Because of the paucity of studies comparing lemurs living in disturbed environments over the long-term, more research is urgently required to evaluate the consequences of chronic physiological stress on the highly threatened lemur populations.

Acknowledgments

This work was carried out under the collaboration agreement with the Department of Animal Biology and Anthropology of the University of Antananarivo and QIT Madagascar Minerals (QMM). We thank the Madagascar Institute for the Conservation of Tropical Environments (MICET), the Association of Managers of Forests of Ambatoatsinana (FIMPIA), the Mandena Management Committee (COGEMA), and the Ministère des Eaux et Forets for their collaboration and permission to work in Madagascar. We thank the Costwold Wildilife Park & Gardens for giving us precious help for the validation test. We are grateful to Silvana Borgognini for her support during the early stages of this research and to Rachel Sawyer and Lauren Lansdowne for the language revision of this manuscript. Our gratitude goes to Sergio Tofanelli, Stefania Bertoncini and Giulio Petroni for giving us the opportunity to work in their laboratories. We acknowledge the QMM biodiversity staff, especially Manon Vincelette, Johny Rabenantoandro, Christophe Rambolamanana, Laza Andriamandimbiarisoa, Faly Randriatafika, David Rabehevitra, Sylvio Angelico, Claude Soanary, and the field assistants (Kadofa, Josette, Faris, Philemon, Germain, Crescent) in MAN and STL. We thank Murielle Ravaolahy and Aristide Andrianarimisa for their contribution to this research and Andrea Heistermann for conducting the hormone analyses.

Author Contributions

Conceived and designed the experiments: GD MH. Performed the experiments: M. Barresi M. Balestri MC VS. Analyzed the data: M. Barresi M. Balestri MC VS MH GD. Contributed reagents/materials/analysis tools: JBR MH GD. Wrote the paper: M. Balestri MC JBR MH GD.

References

  1. 1. Creel S (2001) Social dominance and stress hormones. Trends Ecol Evol 16: 491–97.
  2. 2. Chrousos GP (2009) Stress and disorders of the stress system. Nat Rev Endocrinol 5: 374–381.
  3. 3. Wingfield J (2013) Ecological processes and the ecology of stress: the impacts of abiotic environmental factors. Func Ecol 27: 37–44.
  4. 4. Clinchy M, Sheriff MJ, Zanette L (2013) Predator-induced stress and the ecology of fear. Funct Ecol 27: 56–65.
  5. 5. Busch DS, Hayward LS (2009) Stress in a conservation context: a discussion of glucocorticoid actions and how levels change with conservation- relevant variables. Biol Conserv 142: 2844–2853.
  6. 6. Creel S, Dantzer B, Goymann W, Rubenstein DR (2013) The ecology of stress: effects of the social environment. Funct Ecol 27: 66–80.
  7. 7. Wingfield JC, Hunt K, Breuner C, Dunlap K, Fowler GS, et al. (1997) Environmental stress, field endocrinology, and conservation biology. In: Clemmons JR, Buchholz R, editors. Behavioral Approaches to Conservation in the Wild. Cambridge University Press, Cambridge. pp. 95–131.
  8. 8. Fahrig L (2003) Effects of habitat fragmentation on biodiversity. Annu Rev Ecol Evol Syst 34: 487–515.
  9. 9. Rimbach R, Link A, Heistermann M, Gómez-Posada C, Galvis N, et al. (2013) Effects of logging, hunting, and forest fragment size on physiological stress levels of two sympatric ateline primates in Colombia. Conserv Physiol 1
  10. 10. Francis CD, Barber JR (2013) A framework for understanding noise impacts on wildlife: an urgent conservation priority. Front Ecol Environ 11: 305–213.
  11. 11. Keay JM, Singh J, Gaunt MC, Kaur T (2006) Fecal glucocorticoids and their metabolites as indicators of stress in various mammalian species: a literature review. J Zoo Wildlife Med 37: 234–244.
  12. 12. Goymann W (2012) On the use of non-invasive hormone research in uncontrolled, natural environments: the problem with sex, diet, metabolic rate and the individual. Method Ecol Evol 3: 757–765.
  13. 13. Boonstra R (2013) Reality as the leading cause of stress: rethinking the impact of chronic stress in nature. Funct Ecol 27: 11–23.
  14. 14. Romero LM (2004) Physiological stress in ecology: lessons from biomedical research. Trends Ecol Evol 19: 249–255.
  15. 15. Sapolsky RM, Romero LM, Munck AU (2000) How do glucocorticosteroids influence stress responses? Integrating permissive, suppressive, stimulatory and preparative actions. Endocr Rev 21: 55–89.
  16. 16. Wingfield JC, Romero LM (2001) Adrenocortical responses to stress and their modulation in free-living vertebrates. In: McEwen BS, Goodman HM, editors. Handbook of Physiology; Section 7: The Endocrine System; Volume IV: Coping With The Environment: Neural and Endocrine Mechanisms. New York: Oxford Univ. Press. pp 211–234.
  17. 17. Pride ER (2005) High faecal glucocorticoid levels predict mortality in ring-tailed lemurs (Lemur catta). Biol Lett 1: 60–63.
  18. 18. Cameron JL (1997) Stress and behaviorally induced reproductive dysfunction in primates. Semin Reprod Endocr 15: 37–45.
  19. 19. Sapolsky RM (2002) Endocrinology of the stress response. In Behavioral Endocrinology. In: Becker JB, Breedlove SM, Crews D, MaCarthy MM, editors. Cambridge, MTP Press. pp. 409–450.
  20. 20. Heistermann M, Ademmer C, Kaumanns W (2004) Ovarian cycle and effect of social changes on adrenal and ovarian function in Pygatherix nemaeus. Int J Primatol 25: 689–708.
  21. 21. Cavigelli S, Chaudhry HS (2012) Social status, glucocorticoids, immune function, and health: can animal studies help us understand human socioeconomic-status-related health disparities? Horm Behav 62: 295–313.
  22. 22. Tecot S (2013) Variable energetic strategies in disturbed and undisturbed rain forest habitats: fecal cortisol levels in southeastern Madagascar. In: Masters J. Gamba M, Génin F, Tuttle R, editors. Leaping Ahead: Advances in Prosimian Biology (Developments in Primatology: Progress and Prospects). New York: Springer. pp. 185–195.
  23. 23. Dhabhar F, McEwen B (2000) Bidirectional effects of stress and glucocorticoid hormones on immune function: possible explanations for paradoxical results. In: Ader R, Felton D, Cohen N, editors. Psychoneuroimmunology. New York: Academic Press. pp. 301–338.
  24. 24. Breuner CW, Patterson SH, Hahn TP (2008) In search of relationships between the acute adrenocortical response and fitness. Gen Comp Endocr 157: 288–295.
  25. 25. Bonier F, Martin PR, Moore IT, Wingfield JC (2009) Do baseline glucocorticoids predict fitness? Trends Ecol Evol 24: 634–642.
  26. 26. Madliger CL, Love OP (2013) The need for a predictive, context-dependent approach to the application of stress hormones in conservation. Conserv Biol
  27. 27. Romero LM (2002) Seasonal changes in plasma glucocorticoid concentrations in free-living vertebrates. Gen Comp Endocrinol 128: 1–24.
  28. 28. Schilling A, Perret M, Predine J (1984) Sexual inhibition in a prosimian primate. A pheromone-like effect. J Endocrinol 102: 143–151.
  29. 29. Muller M, Wrangham R (2004) Dominance, cortisol and stress in wild chimpanzees (Pan troglodites schweinfurthii). Behav Ecol Sociobiol 55: 332–340.
  30. 30. Bergman T, Beehner J, Cheney D, Seyfarth R, Whitten P (2005) Correlates of stress in free-ranging male chacma baboons, Papio hamadryas ursinus. Anim Behav 70: 703–713.
  31. 31. Pride ER (2005) Optimal group size and seasonal stress in ring-tailed lemurs (Lemur catta). Behav Ecol 16: 550–560.
  32. 32. Fichtel C, Kraus C, Ganswindt A, Heistermann M (2007) Influence of reproductive season and rank on fecal glucocorticoid levels in free-ranging male Verreaux's sifakas (Propithecus verreauxi). Horm Behav 51: 640–648.
  33. 33. Ostner J, Kappeler P, Heistermann M (2008) Androgen and glucocorticoid levels reflect seasonally occurring social challenges in male redfronted lemurs (Eulemur fulvus rufus). Behav Ecol Sociobiol 62: 627–638.
  34. 34. Starling AP, Charpentier MJE, Fitzpatrick C, Scordato ES, Drea CM (2010) Seasonality, sociality, and reproduction: long-term stressors of ring-tailed lemurs (Lemur catta). Horm Behav 57: 76–85.
  35. 35. Strier KB, Ziegler TE, Wittwer DJ (1999) Seasonal and social correlates of fecal testosterone and cortisol levels in wild male muriquis (Brachyteles arachnoides). Horm Behav 35: 125–134.
  36. 36. Lynch JW, Ziegler TE, Strier KB (2002) Individual and seasonal variation in fecal testosterone and cortisol levels of wild male Tufted Capuchin monkeys, Cebus apella nigritus. Horm Behav 41: 275–287.
  37. 37. Cavigelli SA (1999) Behavioural patterns associated with faecal cortisol levels in free-ranging female ring-tailed lemurs, Lemur catta. Anim Behav 43: 166–179.
  38. 38. Pride RE (2005) Foraging success, agonism, and predator alarms: behavioral predictors of cortisol in Lemur catta. Int J Primatol 26: 295–319.
  39. 39. Hoffman CL, Ayala JE, Mas-Rivera A, Maestripieri D (2010) Effects of reproductive condition and dominance rank on cortisol responsiveness to stress in free-ranging female rhesus macaques. Am J Primatol 72: 559–565.
  40. 40. Carnegie S, Fedigan LM, Ziegler TE (2011) Social and environmental factors affecting fecal glucocorticoids in wild, female white-faced capuchins (Cebus capucinus). Am J Primatol 869: 861–869.
  41. 41. Rimbach R, Heymann EW, Link A, Heistermann M (2013) Validation of anenzyme immunoassay for assessing adrenocortical activity and characterizationof factors that affect fecal glucocorticoid metabolite levels in two New World primates. Gen Comp Endocrinol 191: 13–23.
  42. 42. Lee PC (1996) The meanings of weaning: growth, lactation, and life history. Evol Anthropol 5: 87–96.
  43. 43. Dufour DL, Sauther ML (2002) Comparative and evolutionary dimensions of the energetics of human pregnancy and lactation. Am J Hum Biol 14: 584–602.
  44. 44. Rosetta L, Lee PC, Garcia C (2011) Energetics during reproduction: a doubly labeled water study of lactating baboons. Am J Phys Anthropol 144: 661–668.
  45. 45. Coe CL, Lubach GR (2014) Vital and vulnerable functions of the primate placenta critical for infant health and brain development. Front Neuroendocrinol Available: http://dx.doi.org/10.1016/j.yfrne.2014.03.004.
  46. 46. Albrecht E, Pepe G (1998) Secretion and metabolism of steroids in primate mammals during pregnancy. In: Bazer, F. (Ed.), Endocrinology of Pregnancy. Humana Press, New York, pp. 319–351.
  47. 47. McLean M, Smith R (1999) Corticotropin-releasing hormone in human pregnancy and parturition. Trends Endocrinol Metab 10: 174–178.
  48. 48. Chapman CA, Wasserman MD, Gillespie TR, Speirs ML, Lawes ML, et al. (2006) Do food availability, parasitism, and stress have synergistic effects on Red Colobus populations living in forest fragments? Am J Phys Anthropol 131: 525–34.
  49. 49. Martínez-Mota R, Valdespino C, Sánchez-Ramos MA, Serio-Silva JC (2007) Effects of forest fragmentation on the physiological stress response of black howler monkeys. Anim Cons 10: 374–379.
  50. 50. Rangel-Negrín A, Alfaro JL, Valdez RA, Romano MC, Serio-Silva JC (2009) Stress in Yucatan spider monkeys: effects of environmental conditions on fecal cortisol levels in wild and captive populations. Anim Conserv 12: 496–502.
  51. 51. Dunn JC, Cristóbal-Azkarate J, Schulte-Herbrüggen B, Chavira R, Veà JJ (2013) Travel time predicts fecal glucocorticoid levels in free-ranging howlers (Alouatta palliata). Int J Primatol 34: 246–259.
  52. 52. Marra PP, Holberton RL (1998) Corticosterone levels as indicators of habitat quality: effects of habitat segregation in a migratory bird during the non-breeding season. Oecologia 116: 284–292.
  53. 53. Homan RN, Regosin JV, Rodrigues DM, Reed JM, Windmiller BS, et al. (2003) Impacts of varying habitat quality on the physiological stress of spotted salamanders (Ambystoma maculatum). Anim Conserv 6: 11–18.
  54. 54. Jachowski DS, Slotow R, Millspaugh JJ (2012) Physiological stress and refuge behavior by african elephants. PLOS One 7 (2) e31818
  55. 55. Johnstone CP, Lill A, Reina RD (2012) Does habitat fragmentation cause stress in the agile antechinus? An haematological approach. J Comp Physiol 182: 139–155.
  56. 56. Mittermeier R, Louis EE, Richardson M, Schwitzer C, Langrand O et al. (2010) Lemurs of Madagascar. Washington DC: Conservation International. 767 p.
  57. 57. Schwitzer C, Mittermeier RA, Johnson SE, Donati G, Irwin M, et al. (2014) Averting lemur extinctions amidst Madagascar's political crisis. Science 343: 842–843.
  58. 58. Wright PC (1999) Lemur traits and Madagascar ecology: coping with an island environment. Yearb Phys Anthropol 42: 31–72.
  59. 59. Dewar RE, Richard AF (2007) Evolution in the hypervariable environment of Madagascar. P Natl Acad Sci USA 104: 3–27.
  60. 60. Gould L, Sussman RW, Sauther ML (1999) Natural disasters and primate populations: the effects of a 2-year drought on a naturally occurring population of ring-tailed lemurs (Lemur catta) in southwestern Madagascar. Int J Primatol 20: 69–84.
  61. 61. Donati G, Kesch K, Ndremifidy K, Schmidt SL, Ramanamanjato JB, et al. (2011) Better few than hungry: flexible feeding ecology of collared lemurs Eulemur collaris in littoral forest fragments. PLOS One 6 (5) e19807
  62. 62. Irwin MT (2007) Living in forest fragments reduces group cohesion in Diademed Sifakas (Propithecus diadema) in Eastern Madagascar by reducing food patch size. Am J Primatol 69: 434–347.
  63. 63. Ratsimbazafy JH, Ramarosandratana HV, Zaonarivelo RJ (2002) How do black-and-white ruffed lemurs still survive in a highly disturbed habitat? Lemur News 7: 7–10.
  64. 64. Irwin MT (2008) Diademed sifaka (Propithecus diadema) ranging and habitat use in continuous and fragmented forest: higher density but lower viability in fragments? Biotropica 40: 231–240.
  65. 65. Campera M, Serra V, Balestri M, Barresi M, Ravaolahy M, et al. (2014) Effects of habitat quality and seasonality on ranging patterns of Eulemur collaris in littoral forest fragments. Int J Primatol
  66. 66. Bollen A, Donati G (2006) Conservation status of the littoral forest of southeastern Madagascar: A review. Oryx 40: 57–66.
  67. 67. Consiglio T, Schatz GE, McPherson G, Lowry PP II, Rabenantoandro J, et al. (2006) Deforestation and plant diversity of Madagascar's littoral forests. Conserv Biol 20: 1799–1803.
  68. 68. Donati G, Bollen A, Borgognini-Tarli SM, Ganzhorn JU (2007) Feeding over 24-h cycle: Dietary flexibility of cathemeral collared lemurs (Eulemur collaris). Behav Ecol Sociobiol 61: 1237–1251.
  69. 69. Rabenantoandro J, Randriatafika F, Lowry II PP (2007) Floristic and structural characteristics of remnant littoral forest sites in the Tolagnaro area. In: Ganzhorn JU, Goodman SM, Vincelette M, editors. Biodiversity, ecology and conservation of the littoral ecosystems of South-eastern Madagascar. Washington DC: Smithsonian Institution Press. pp. 65–77.
  70. 70. Lazdane K, Broll A, Theisinger O, Bearder SK, Donati G (2014) Susceptibility of collared brown lemurs (Eulemur collaris) to gastrointestinal parasite infections in remnant fragments of Malagasy littoral forest. Ital J Zool
  71. 71. Bollen A, Van Elsacker L, Ganzhorn JU (2004) Relations between fruits and disperser assemblages in the littoral forest of south-east Madagascar: a community level approach. J Trop Ecol 20: 599–612.
  72. 72. Ganzhorn JU, Fietz J, Rakotovao E, Schwa D, Zinner DN (1999) Lemurs and the regeneration of dry deciduous forest in Madgascar. Conserv Biol 13: 794–804.
  73. 73. Lane J (2006) Can non-invasive glucocorticoid measures be used as reliable indicators of stress in animals? Anim Welfare 15: 331–342.
  74. 74. Palme R, Rettenbacher S, Touma C, El-Bahr SM, Möstl E (2005) Stress hormones in mammals and birds: Comparative aspects regarding metabolism, excretion and noninvasive measurement in fecal samples. Ann N Y Acad Sci 1040: 162–171.
  75. 75. Ganzhorn JU, Andrianasolo T, Andrianjazalahatra T, Donati G, Fietz J (2007) Lemurs in evergreen littoral forest fragments. In: Ganzhorn JU, Goodman SM, Vincelette M, editors. Biodiversity, Ecology and Conservation of the Littoral Ecosystems of South-Eastern Madagascar. Washington DC: Smithsonian Institution Press. pp. 223–236.
  76. 76. Pereira ME, Kappeler PM (1997) Divergent systems of agonistic behaviour in lemurid primates. Behaviour 134: 225–274.
  77. 77. Kraus C, Heistermann M, Kappeler PM (1999) Physiological suppression of sexual function of subordinate males. A subtle form of intrasexual competition among male sifakas (Propithecus verreauxi)? Physiol Behav 66: 855–861.
  78. 78. Khan MZ, Altmann J, Isani SS, Yu J (2002) A matter of time: evaluating the storage of fecal samples for steroid analysis. Gen Comp Endocrinol 128: 57–64.
  79. 79. Hunt K, Wasser S (2003) Effect of long-term preservation methods on fecal glucocorticoid concentrations of grizzly bear and African elephant. Physiol Biochem Zool 76: 918–928.
  80. 80. Wasser SK, Thomas R, Nair PP, Guirdy C, Southers J, et al. (1993) Effect of dietary fibre on steroid measurements in baboons (Papio cynocephalus cynocephalus). J Reprod Fertil 97: 569–574.
  81. 81. Heistermann M, Palme R, Ganswindt A (2006) Comparison of different enzymeimmunoassays for assessment of adrenocortical activity in primates based on fecal analysis. Am J Primatol 68: 257–273.
  82. 82. Hämälainen A, Heistermann M, Fenosoa ZSA, Kraus C (2014) Evaluating capture stress in wild gray mouse lemurs via repeated fecal sampling: method validation and the influence of prior experience and handling protocols on stress responses. Gen Comp Endocrinol 195: 68–79.
  83. 83. Ganswindt A, Palme R, Heistermann M, Borragan S, Hodges JK (2003) Non-invasive assessment of adrenocortical function in the male African elephant (Loxodonta africana) and its relation to musth. Gen Comp Endocrinol 134: 156–166.
  84. 84. Bollen A, Donati G (2005) Phenology of the littoral forest of Sainte Luce, southeast Madagascar. Biotropica 37: 32–43.
  85. 85. Donati G (2002) Activity pattern of Eulemur fulvus collaris in relation to environmental variations in the littoral forest of Sainte Luce (Fort-Dauphin, Madagascar). PhD Thesis, University of Pisa.
  86. 86. Hodges JK, Heistermann M (2011) Field endocrinology: monitoring hormonal changes in free-ranging primates. In: Setchell, J.M., Curtis, D.J. editors. Field and Laboratory Methods in Primatology: A Practical Guide. Cambridge: University Press. pp. 353–370.
  87. 87. Erkert HG, Cramer B (2006) Chronobiological background to cathemerality: circadian rhythms in Eulemur fulvus albifrons (Prosimii) and Aotus azarai boliviensis (Anthropoidea). Folia Primatol 77: 87–103.
  88. 88. Wingfield JC, Hegner RE, Dufty AM, Balle GF (1990) The “Challenge Hypothesis”: Theoretical implications for patterns of testosterone secretion, mating systems, and breeding strategies. Am Nat 136: 829–846.
  89. 89. Sands JL, Creel S (2004) Social dominance, aggression and faecal glucocorticoid levels in a wild population of wolves, Canis lupus. Anim Behav 67: 387–396.
  90. 90. Mooring MS, Patton ML, Lance VA, Hall BM, Schaad EW, et al. (2006) Glucocorticoids of bison bulls in relation to social status. Horm Behav 49: 369–375.
  91. 91. Hamlin HJ, Lowers RH, Guillette LJ (2011) Seasonal androgen cycles in adult male American alligators (Alligator mississippiensis) from a barrier island population. Biol Reprod 85: 1108–1113.
  92. 92. Higham JP, Heistermann M, Maestripieri D (2013) The endocrinology of male rhesus macaque social and reproductive status: a test of the challenge and social stress hypotheses. Behav Ecol Sociobiol 67: 19–30.
  93. 93. Schiml PA, Mendoza SP, Saltzman W, Lyons DM, Mason WA (1996) Seasonality in squirrel monkeys (Saimiri sciureus). Physiol Behav 60: 1105–1113.
  94. 94. Schiml PA, Mendoza SP, Saltzman W, Lyons DM, Mason WA (1999) Annual physiological changes in individually housed squirrel monkeys (Saimiri sciureus). Am J Primatol 4: 93–103.
  95. 95. Lindburg G, Czekalaa NM, Swaisgood R (2001) Hormonal and behavioral relationships during estrus in the giant panda. Zoo Biol 20: 537–543.
  96. 96. Owen MA, Czekalaa NM, Swaisgood R, Karen S, Lindburg G (2005) Seasonal and diurnal dynamics glucocorticoids and behavior in giant pandas. Ursus 16: 208–221.
  97. 97. Creel S, Sands JL (2003) Is social stress a consequence of subordination or a cost of dominance? In: De Waal FBM, Tyack PL, editors. Animal Social Complexity. Intelligence, Culture, and Individualized Societies. Harvard University Press, Cambridge, Massachusetts, London. pp. 153–169.
  98. 98. Reeder DM, Kosteczko NS, Kunz TH, Widmaier EP (2004) Changes in baseline and stress-induced glucocorticoid levels during the active period in free-ranging male and female little brown myotis, Myotis lucifugus (Chiroptera: Vespertilionidae). Gen Comp Endoc 136: 260–269.
  99. 99. Dantzer B, McAdam AG, Palme R, Fletcher QE, Boutin S, et al. (2010) Fecal cortisol metabolite levels in free-ranging North American red squirrels: Assay validation and the effects of reproductive condition. Gen Comp Endocr 67: 279–286.
  100. 100. Tilden C (2008) Low fetal energy deposition rates in lemurs: another energy conservation strategy. In: Fleagle JG, Gilbert CG, editors. Elwyn Simons, a Search for Origins. Springer, New York. pp. 311–318.
  101. 101. Gould L, Ziegler TE, Wittwer DJ (2005) Effects of reproductive and social variables on fecal glucocorticoid levels in a sample of adult male ring-tailed lemurs (Lemur catta) at the Beza Mahafaly Reserve, Madagascar. Am J Primatol 67: 5–23.
  102. 102. Fürtbauer I, Heistermann M, Schülke O, Ostner J (2014) Low female stress hormone levels are predicted by same- or opposite-sex sociality depending on season in wild Assamese macaques. Psychoneuroendocrinology 48: 19–28.
  103. 103. Wright PC, Razafindratsita T, Pochron ST, Jernvall J (2005) The key to frugivory in Madagascar. In: Dew J, Boubli H, editors. Tropical Fruits and Frugivores: the Search for Strong Interactors. The Netherlands: Springer Press. pp. 121–138.
  104. 104. Tilden CD, Oftedal OT (1997) Milk composition reflects patterns of maternal care in prosimian primates. Am J Primatol 41: 195–211.
  105. 105. Sapolsky RM (1986) Endocrine and behavioral correlates of drought in wild olive baboons (Papio anubis). Am J Primatol 11: 217–227.
  106. 106. Behie AM, Pavelka MS, Chapman CA (2010) Sources of variation in faecal cortisol levels in howler monkeys in Belize. Am J Primatol 72: 600–606.
  107. 107. Gesquiere LR, Onyango PO, Alberts SC, Altmann J (2011) Endocrinology of year-round reproduction in a highly seasonal habitat: Environmental variability in testosterone and glucocorticoids in baboon males. Am J Phys Anthropol 144: 169–176.
  108. 108. Chapman CA, Saj T, Snaith TV (2007) Temporal dynamics of nutrition, parasitism and stress in colobus monkeys: implications for population regulation and conservation. Am J Phys Anthropol 134: 240–250.
  109. 109. Donati G, Ramanamanjato JB, Ravoahangy AM, Vincelette M (2007) Translocation as a conservation measure for a threatened species: the case of Eulemur collaris in the Mandena littoral forest, south-eastern Madagascar. In: Ganzhorn JU, Goodman SM, Vincelette M, editors. Biodiversity, Ecology and Conservation of the Littoral Ecosystems of South-Eastern Madagascar. Washington DC: Smithsonian Institution Press. pp. 237–245.
  110. 110. Creel S, Fox JE, Hardy A, Sands J, Garrott B, et al. (2002) Snowmobile activity and glucocorticoid stress responses in wolves and elk. Conserv Biol 16: 809–814.
  111. 111. Overdorff DJ, Merenlender AM, Talata P, Telo A, Forward ZA (1999) Life history of Eulemur fulvus rufus from 1988–1998 in southeastern Madagascar. Am J Phys Anthropol 108: 295–310.
  112. 112. Johnson CA, Raubenheimer D, Rothman JM, Clarke D, Swedell L (2013) 30 days in the life: daily nutrient balancing in a wild chacma baboon. PLOS One 8 (7) e70383
  113. 113. Sayre RW (1996) Ecology of Bighorn Sheep in Relation to Habitat and Oil. PhD thesis, University of North Dakota.
  114. 114. Wasser SK, Davenport B, Ramage ER, Hunt KE, Parker M, et al. (2004) Scat detection dogs in wildlife research and management: application to grizzly and black bears in the Yellowhead Ecosystem, Alberta, Canada. Can J Zool 82: 475–492.
  115. 115. Munshi-South J, Tchignoumba L, Brown J, Abbondanza N, Maldonado JE, et al. (2008) Physiological indicators of stress in African forest elephants (Loxodonta africana cyclotis) in relation to petroleum operations in Gabon, Central Africa. Divers Distrib 14: 995–1003.
  116. 116. Vincelette M, Theberge M, Randrihasipara L (2007) Evaluations of forest cover at regional and local levels in the Tolagnaro region since 1950. In: Ganzhorn JU, Goodman SM, Vincelette M, editors. Biodiversity, Ecology and Conservation of the Littoral Ecosystems of South-Eastern Madagascar. Washington DC: Smithsonian Institution Press. pp. 49–58.
  117. 117. Blickley JL, Word KR, Krakauer AH, Phillips JL, Sells SN, et al. (2012) Experimental chronic noise is related to elevated fecal corticosteroid metabolites in lekking male greater sage-grouse (Centrocercus urophasianus). PLOS One 7 (11) e50462
  118. 118. Donati G, Baldi N, Morelli V, Ganzhorn JU, Borgognini-Tarli SM (2009) Proximate cues and ultimate determinants of brown lemur cathemerality. An Behav 77: 317–325.