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Seasonal breeding is defined as the occurrence of births within clearly delimited periods (Van Schaik, Van Noordwijk & Nunn, 1999). It is the norm in a variety of primates living at both tropical and temperate latitudes (Di Bitetti & Janson, 2000). While documentation of patterns of reproductive seasonality and its regulation in primates have increased steadily over the past few decades, how the set of factors, such as food availability, day length and temperature, influences the timing of reproductive events in both captive and wild groups are still crucial for those endangered species.

Seasonal food availability has been cited as one of the principle factors determining seasonal breeding in primates (Di Bitetti & Janson, 2000; Brockman & Van Schaik, 2005). Given that late gestation and early lactation represent the most energetically demanding periods for reproductively active females, some primate species living in seasonally predictable environments are reported to coincide the birth season and periods of intensive nursing with increased availability or seasonal peaks in high energy-high protein foods (McCabe, Fernánd & Ehardt, 2013). This pattern of reproductive timing has been documented in some strepsirrhines (Richard et al., 2002), new world monkeys (Lewis & Kappeler, 2005b; Lewis & Kappeler, 2005a), and old world monkeys (Van Schaik, Van Noordwijk & Nunn, 1999). For example, Hanuman langurs (Semnopithecus entellus) give birth from January until June, and conceptions are confined to the months of July to November, coinciding with the period of highest food availability (Koenig et al., 1997). However, given that relative to body mass primates are generally characterized by an elongated period of gestation (5–9 months) and an extended period of lactation (three months to five years), female’s have evolved a range of alternative behavioral, social, and nutritional strategies designed to enhance reproductive success (Brockman & Van Schaik, 2005). Primate species such as long-tailed macaques (Macaca fascicularis) (Van Schaik & Van Noordwijk, 1985) and great apes (Knott, 2005), might time conception to coincide with periods of high food availability in order to store reserves that can be drawn on later during pregnancy. Other models have been proposed to explain variation in the timing of reproductive events across primate species. For example, females acting as income breeders use energy obtained throughout the reproductive period to support their developing offspring (Brockman & Van Schaik, 2005). In contrast, females acting as capital breeders are expected to time conception to periods of high food availability and use these accumulated resources during periods when the energetic costs of reproduction are high and food is less available (McCabe, Fernánd & Ehardt, 2013). For example, even in the captive condition, female Japanese Macaques (Macaca fuscata) still accumulate energy reserves and gain weight in fall to prepare for mating activity, and to survive the severe conditions of winter, which is the period of gestation if pregnancy occurs (Garcia, Huffman & Shimizu, 2010; Garcia et al., 2011).

Other factors, such as the natural light cycle (photoperiod), which usually is determined by the latitude and controls melatonin release and modulates circadian and circannual pacemakers (Wehr, 2001; Dardene, 2012), also can operate as a primarily proximate factor influencing the timing of reproduction (Ziegler et al., 2000; Bradshaw & Holzapfel, 2007). Some research on the effects of photoperiod in primates has focused on rhesus monkeys (Macaca mulatta) (Wilson & Gordon, 1989), squirrel monkeys (Saimiri sciureus) (Schiml et al., 1999) and tamarins (Mcgrew & Webster, 1995), tufted capuchins (Perret, 1997), and multiple species of lemurs (Carosi, Linn & Visalberghi, 2005). In these species, decreasing day length stimulates the onset of reproduction (Wilson & Gordon, 1989; Schiml et al., 1999). However, results from both laboratory studies and studies of transplanted Japanese macaques (M. fuscata) do not support the photoperiod hypothesis because the timing of breeding was not substantially influenced by controlled changes in exposure to different L:D cycles or when individuals were transplanted to different latitudinal zones (Nozaki, Mori & Oshima, 1990).

Evidence also suggests that temperature can influence the timing of reproduction because extremes in ambient temperature affect energy expenditure, basal metabolic rate, and the costs of thermoregulation (Dunbar, 1988). For example, Zhao & Deng (1988) found direct evidence that female Tibetan macaques (M. thibetana) were characterized by an earlier birth season at higher elevations (colder temperature) than at lower elevations. Similarly, based on a comparison of climatic and reproductive data among 23 provisioned groups of Japanese macaques, Cozzolino et al. (1992) found that the mean conception date was negatively related to the magnitude of the decrease in the mean temperature from summer to fall. Given that many primate species live in tropical habitats (Janson & Verdolin, 2005) in which monthly mean temperature varies only by a few degrees throughout the year and seasonal patterns of rainfall are a strong predictor of food availability (Van Schaik & Pfannes, 2005), temperature as an environmental determinant of reproductive seasonality in primates has not been fully explored (Rutherford, 1980). For primates that inhabit temperate ecosystems, changes in temperature extremes across seasons of the year are likely to have a greater effect on reproduction than food availability if the temperate species are capital breeders.

An effective methodological approach to identify factors affecting the timing of reproduction is to compare patterns of breeding seasonality between wild and captive groups of the same species. For example, if seasonal fluctuations in food availability is a primarily factor that determined seasonal breeding in the natural habitat, then animals in captivity would be expected to display a more uniform or non-seasonal breeding pattern compared to conspecifics in the wild. Furthermore, the availability of captive groups living at different latitudes and under easily monitored temperature regimes, provides a natural experiment to examine the influence of day length (latitude) and temperature variation on reproductive seasonality in primates. As of yet, the limited data available, for shortage of data from both captive and wild groups, do not allow to draw conclusions regarding the primarily factor influencing breeding activities of a colobine species, the foregut-fermenting primates for which the main source of nutrition is leaves.

In this paper, we analyze and compare the reproductive patterns of adult females in 13 captive groups and two free ranging but provisioned groups of R. roxellana. R. roxellana are a species of endangered leaf-eating (colobine) primate endemic to China that inhabits high altitude mountainous temperate broadleaf and coniferous forests (Zhang et al., 1992). Zhang, Liang & Wang (2000) reported on the mating and birth seasonality of one captive population and suggested that births peak during the spring, a time of the year when the availability of protein-rich new leaves was assumed to be at its highest. Similarly, Qi, Li & Ji (2008) hypothesized that the pattern of birth seasonality in R. roxellana represented an adaptive response to the seasonality of mountain climate and food resources. Here, through using a long-term and more comprehensive data set, we test a series of hypotheses designed to examine the role of food availability, photoperiod, and temperature in influencing patterns of seasonal breeding and birth seasonality in R. roxellana: (1) If food abundance is a primary factor in determining the likelihood of conception, captive animals given nutritionally adequate diets should fail to exhibit seasonal variation in breeding; we thus predict a significant difference in breeding patterns between free ranging and captive groups at similar latitude; (2) If mating and fertility are tied to photoperiod, then we expect that females will conceive and give birth later in the year in groups living at more northern latitude under the same food conditions; and (3) If the magnitude of temperature variations between the coldest and the hottest month has effect the reproductive fertility in females, then we expect a later conception or birth data when there is a larger temperature variation.


Ethics statement

Prior to conducting this study, approval was gained from the Shennongjia National Nature Reserve (snnr-081201), the Zhouzhi National Nature Reserve (znnr-050621), and the Institutional Animal Care and Use Committee of Central South University of Forestry & Technology (csuft-090120). Data collected were purely observational in nature and were collected with minimal disturbance to the animals (although the animals were provisioned by reserve staff).


R. roxellana is distributed from 28°58′–33°50′N to 103°05′–110°03′E and at elevations of between 1,000 and 4,100 m above sea level in the Qionglai, Minshan, Qinling, and Daba Mountains of Central China (Zhang, Liang & Wang, 2000; Kirkpatrick & Grueter, 2010). The species is highly folivorous and its annual diet is composed principally of leaves and fruits. During the winter, when fruits and leaves are unavailable, R. roxellana consume a diet consisting of lichen, pine seeds, oak seeds, and bark (Kirkpatrick & Grueter, 2010; Li, 2006; Guo, Li & Watanabe, 2007). Females usually give birth once every two years provided the previous offspring survived to the age of weaning. If a female’s offspring died before 5–6 months of age, a female will give birth the following year (Qi, Li & Ji, 2008). Mating behavior was seasonal with mating peaks in September, October and November (Li & Zhao, 2007), although copulations have often been observed during other months of the year (Xiang et al., 2014).

Birth events in the natural environment

We observed one free ranging but provisioned group of R. roxellana at Dalongtan (coordinates: 31°29′N, 110°18′E; elevation: 2,200 m asl) in Shennongjia Nature Reserve, central China. This area is a highly seasonal temperate forest. The monkeys were fed two to three times a day at different sites with lichen, pine seeds, apples, carrots, oranges, and peaches. We conducted daily observations at distances between 3 and 50 m from 0800 to 1600 in winter and spring or 0700 to 1900 in summer and autumn so long as weather permitted (Xiang et al., 2014). Seventy birth events have been accurately recorded between 2006 and 2014.

We observed the other free ranging group at Yuhuangmiao in Zhouzhi National Nature Reserve (33°46′N, 108°15′E; 1,500-2,890 m asl), which is located on the northern slope of the Qinling Mountains. Seasonality in temperature and food availability in this region is pronounced; the study troop is provisioned with small amounts of food 15 days per month for 6–8 months each year (Qi, Li & Ji, 2008). Sixty-one birth events have been identified between 2003 and 2006 (Guo, Li & Watanabe, 2007). Data on birth seasonality were collected through daily observations over the course of 4–6 months during the birth season in a partially provisioned group (Qi, Li & Ji, 2008).

Birth events in the captive environment

Birth data for captive groups were provided by the Chinese Association of Zoological Gardens. The species have been maintained in more than 30 zoos and wildlife parks from Harerbin (45°45′N) in the north, to Guangzhou (23°00′) in the south of China. Almost all individuals were captured from the Qinling mountains. Animals of both sexes are kept in an outdoor enclosure during the day throughout the year but given access to an enclosed room at night. Although the night room for groups housed in northern China is usually equipped with a heating unit, we presume heating has no influence on the resumption of breeding because the heaters were not operational before mid-November. In the wildlife park, the monkeys are kept in a large enclosed area. Although captive groups have been maintained in China since 1956, and >500 births have been recorded for the total captive population, in the current study we only used birth records from 1972 because few of the birth events prior to 1972 included the exact date the infant was born. We also discarded data from sites with less than 12 birth records. A total of 407 records from 13 colonies were used in our analyses (Table 1). Data from different captive colonies within the same city, such as the Beijing Zoo and Beijing Breeding Center of Endangered Animals, and the Shanghai Zoo and Shanghai Wildlife Park, were pooled because a Watson’s U2 test showed the data were not significantly different (Batschelet, 1981).

Table 1:
Golden snub-nosed monkeys groups, the number of snub-nosed monkey-years, and the number of births that were included in the birth and conception analyses.
Site Latitude Longitude Years represented No. of years Birth recorder Data resource
Free ranging groups
Shennongjia 31°29′ 110°18′ 2006–2013 9 70 This study
Qingling 33°46′ 108°15′ 2003–2006 4 61 This study
Captive groups
Guangzhou 23°00′ 113°18′ 1998–2011 14 12 CAZGa
Hangzhou 30°12′ 120°08′ 1997–2012 16 19 CAZG
Chengdu 30°42′ 104°06′ 1998–2012 15 18 CAZG
Tonglin 30°59′ 118°02′ 2000–2012 13 65 CAZG
Shanghaib 31°11′ 121°32′ 1979–2012 34 77 CAZG
Louguantai 34°03′ 108°19′ 1997–2010 14 19 CAZG
Xi’an 34°15′ 108°59′ 1981–2000 20 18 CAZG
Lanzhou 36°02′ 103°49′ 1984–2011 28 21 CAZG
Jinan 36°42′ 116°59′ 1994–2010 17 17 CAZG
Xixiakou 37°24′ 122°37′ 2004–2012 9 18 CAZG
Gansu ERC 37°52′ 102°52′ 1996–2010 15 13 CAZG
Beijingc 39°56′ 116°20′ 1972–2012 41 93 CAZG
Haerbing 45°45′ 126°36′ 1995–2000 6 17 CAZG
Total 538
DOI: 10.7717/peerj.2892/table-1


CAZG, Chinese Association of Zoological Gardens.
Included records from the Shanghai Zoo and Shanghai wildlife park.
Included records from the Beijing Zoo and Beijing Breeding Center of Endangered Animals.

Conception events

As there are no accurate records of the precise gestation length for wild individuals, conception dates were calculated by deducting 202 days from birth dates; 202 days (sd = 1.1 days, n = 5) is the average gestation of captive individuals (Yan et al., 2003; Qi et al., 1995).

Food availability in the natural environment

For the Shennongjia group, the availability of young/mature leaves, flowers, and fruits/seeds follows a distinctly seasonal pattern; young leaves appeared from April to August, mature leaves from May to September, flowers from May to June, and fruits/seeds from July to October; lichens and buds were almost year-round available with active buds from April to August and dormant buds from September to next March (Qi, Li & Ji, 2008). A similar pattern of food availability was found for the Qinling group (Guo, Li & Watanabe, 2007). Given that captive groups are generally fed the same diet throughout the year, with only slight variation based on seasonal availability of fruits in local stores, we assumed that R. roxellana housed in different zoos and wildlife parks were fed a nutritionally adequate die and much less seasonal compared with the ones in the natural environment. This is supported by the fact that there were no difference in female’s reproductive parameters, such as inter-birth interval (t41,289 = 0.621, p < 0.05) and age at first reproduction (t8,73 =  − 1.53, p > 0.05) between free ranging and captive groups (See Supplemental Information).


As the photoperiod was usually determined by the latitude, therefore the latitude was used as substitution for photoperiod in the data analysis.


There are many meteorological stations maintained by the National Meteorological Bureau of China. We used the temperature data provided by the nearest National Meteorological Bureau of China station to the zoos or wildlife parks for the study (Table 2). The following temperature data were included in this analysis: mean annual temperature, mean highest temperature, highest monthly temperature, the temperature variation between the lowest and highest monthly average temperature, and the largest variation in daily mean temperature during one and two months (absolute value of temperature decrease in one and two months) immediately following the month with the highest mean monthly temperature. We decided to examine variation in temperature in one and two months following the highest monthly temperatures because conceptions in R. roxellana occur in early fall, approximately two months after the highest temperatures of the summer. We decided to examine the temperature variation between the lowest and highest monthly average temperature because we want to test if energetic stress has affected the reproduction, as extreme temperature will be effect the expenditure of energy of an animal.

Table 2:
Mean annual and monthly temperatures (°C) at two field sites and 13 Zoos and wildlife parks.
Site Annual Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Guanzhou 22.1 13.6 14.6 17.9 22.1 25.5 27.6 28.6 28.4 27.2 24.2 19.6 15.3
Hangzhou 16.5 4.3 5.7 9.6 15.8 20.7 24.4 28.4 27.9 23.4 18.3 12.4 6.8
Chengdu 16.1 5.6 7.5 11.5 16.7 21 23.7 25.2 25 21.2 17 12.1 7.2
Tonglin 16.7 4 5.8 10 16.6 21.8 25.3 28.7 28.4 23.7 18.3 12.1 6.4
Shanghai 16.1 4.2 5.3 8.8 14.6 19.6 23.8 27.9 27.7 23.7 18.7 12.7 6.6
Shennongjia 7.1 −3.5 −2.1 2.3 8.8 12.3 15.4 17.1 16.3 12.5 8.6 1.5 −1.8
Qingling 10.7 0.2 1.9 6.1 12.2 15.9 19.1 21.2 21 16.1 10.8 6.2 1.7
Louguantai 11.6 0.7 2.5 6.6 12.8 16.5 19.7 21.8 21.5 16.6 11.7 6.7 2.2
Xi’an 13.9 −0.1 2.9 8.1 14.8 19.8 24.8 26.6 25.3 19.9 13.9 6.9 1.3
Lanzhou 9.8 −5.3 −1 5.4 12.2 17 20.4 22.4 21.2 16.3 9.8 2.5 −3.9
Jinan 14.7 −0.4 2.2 8.2 16.2 21.8 26.4 27.5 26.3 22 16.1 8.3 1.8
Xixiakou 12.5 −2.9 −0.5 5.5 13.1 18.9 23.7 26.2 25.2 20.5 14.2 6.3 −0.3
Gansu ERC 7.9 −7.8 −4.2 2.5 10.4 15.7 19.3 21.5 20.4 14.9 7.8 0.2 −5.8
Beijing 12.3 −3.7 −0.7 5.8 14.2 19.9 24.4 26.2 24.9 20 13.1 4.6 −1.5
Haerbin 5.7 −15.1 −10.7 −2 7.9 15.3 20.6 23.1 21.6 15.4 7 −3.4 −11.8
DOI: 10.7717/peerj.2892/table-2

Statistical analysis

We used circular statistics (Li & Zhao, 2007) to describe and compare the degree of differences in reproductive seasonality. Daily or seasonal frequency patterns typically have a circular distribution and these cyclic events may be represented by a rotation of 360 degrees (Li & Zhao, 2007). When describing the seasonality of births, the total length of the circular axis is the year, creating an axis divided into 365 equal sections, where each sector is 360°/365. Each day, coded using the Julian calendar, is then converted to an angle that divides the circle into equal sections (Li & Zhao, 2007). Each reproductive event is converted to a vector with an angle, α, and a length, γ. Trigonometric functions were used to analyze all vectors (Guo, Li & Watanabe, 2007), resulting in a mean vector angle (μ) and a mean vector length (γ). The mean angle can be converted back to a mean date. The mean vector length of γ gives an indication of how widely spaced the observations are on the axis, with values ranging from 0 to 1.0, where 0 means that all observations occurred during the same interval (Li & Zhao, 2007). Raleigh’s uniformity test was used to evaluate whether the birth and (estimated) conception date were distributed uniformly on the circular axis (Batschelet, 1981).

To analyze if food availability has influenced reproductive events when controlling for the effect of latitude, we compared the reproductive patterns of free ranging but provisioned groups to the captive colonies. In this analysis, the Watson’s U2 test was used to determine whether the degree of variability in the timing of conceptions (estimated conception date) among females in the free ranging but provisioned group differed from females in the captive groups (Batschelet, 1981) in terms to test the probability that two samples of circular data come from the same population.

Spearman’s rho correlation was used to determine the relationship between mean conception date and latitude. To control for the influence of food availability on reproductive events, we performed analyses with and without the free ranging group.

Spearman’s rho correlation also was used to analyze the relationship between the mean date of conception and variation in daily temperature. To control for the influence of food availability on reproductive events, we also performed analyses with and without the free ranging group.

The circular statistical program Oriana verion 4 (Kovach, 2011) was used to analyze evidence of differences in reproductive seasonality and the mean and median date of conceptions and births. Spearman’s rho correlations were analyzed using SPSS 13.0. Statistical tests were two-tailed and probability was set at 0.05.


Reproductive seasonality of two free ranging groups

Births and extrapolated conception events of two groups of R. roxellana inhabiting in the natural environment are presented in Fig. 1. Of all birth events in the two wild groups, 97.7% took place between March and May.

Distribution of births and conceptions in two free ranging groups (A–B) and 13 zoos/wildlife parks (C–O) in China.

Figure 1: Distribution of births and conceptions in two free ranging groups (A–B) and 13 zoos/wildlife parks (C–O) in China.

(A) Shennongjia; (B) Qingling; (C) Guangzhou; (D) Hangzhou; (E) Chengdu; (F) Tonglin; (G) SHanghai; (H) Louguantai; (I) Xi’an; (J) Lanzhou; (K) Jinan; (L) Xiaxiakou; (M) Gansu ERC; (N) Beijing; (O) Haerbing.

The records of Shennongjia group include 70 births involving 26 adult females that occurred over a nine-year period. The frequency of birth and conception in Shennongjia differed significantly from a random distribution (Rayleigh test, p < 0.001, Table 3). Nearly half of birth events occurred in April; and together with those that occurred in March (30.0%) and May (21.4%), 98.6% births occurred in a three month period (Fig. 1) except one premature birth on January 29, 2011 and one normal birth on February 26, 2010. Both the mean birth date and median birth date were April 16. Conception occurred in August (4.3%), September (60.0%), October (31.4%) and November (4.3%) (Fig. 1). Both the mean and median conception date was September 26.

Table 3:
Birth, (estimated) conception distribution and circular statistics for the births at 15 sites (13 captive and two free-ranging) in China that had more than 12 births recorded.
Birth Conception
Sites Mean vector (μ) Mean group Length of mean vector (r) Median Median group Mean vector (μ) Mean group Length of mean vector (r) Median Median group Concen tration Circular variance Circular standard deviation Standard error of mean Rayleigh test (Z) Rayleigh test (p)
Free-ranging groups
Shennongjia 104.203 106 0.953 104.055 106 264.97 269 0.953 264.822 269 10.856 0.047 17.822 2.245 57.19 <0.001
Qingling 101.37 103 0.967 101.096 103 262.14 266 0.967 261.863 266 15.595 0.033 14.754 1.889 57.086 <0.001
Captive groups
Guangzhou 97.11 99 0.814 105.041 107 257.88 262 0.814 265.808 270 2.324 0.186 36.804 12.03 7.943 <0.001
Hangzhou 97.485 99 0.901 96.164 98 258.25 262 0.901 256.932 261 5.357 0.099 26.118 5.982 15.435 <0.001
Chengdu 101.476 103 0.738 118.356 121 262.24 266 0.738 279.123 284 2.263 0.262 44.709 10.45 9.791 <0.001
Tongling 112.517 115 0.991 113.918 116 273.28 278 0.991 274.685 279 56.424 0.009 7.662 0.95 63.848 <0.001
Shanghai 111.886 114 0.864 111.945 114 272.65 277 0.864 272.712 277 3.981 0.136 30.993 3.521 57.466 <0.001
Louguangtai 106.349 108 0.943 103.068 105 267.12 271 0.943 263.836 268 8.974 0.057 19.712 4.52 16.879 <0.001
Xi’an 97.935 100 0.956 92.219 94 258.7 263 0.956 252.986 257 11.52 0.044 17.275 4.07 16.436 <0.001
Lanzhou 97.574 99 0.955 99.123 101 258.34 262 0.955 259.89 264 11.386 0.045 17.381 3.792 19.154 <0.001
Jinan 102.446 104 0.857 92.219 94 263.21 267 0.857 252.986 257 3.819 0.143 31.773 7.679 12.499 <0.001
Xixiakou 141.222 144 0.896 133.151 135 302.05 307 0.896 293.918 298 5.117 0.104 26.803 6.306 14.462 <0.001
Gansu ERC 116.927 119 0.935 105.041 107 277.69 282 0.935 265.808 270 6.196 0.065 21.069 6.604 11.356 <0.001
Beijing 113.126 115 0.778 108.986 111 273.89 278 0.778 269.753 274 2.615 0.222 40.632 4.166 56.243 <0.001
Haerbing 116.254 118 0.934 113.918 116 277.02 281 0.934 274.685 279 7.816 0.066 21.225 5.144 14.82 <0.001
DOI: 10.7717/peerj.2892/table-3

The data of Qinling group include 61 births involving 42 adult females that occurred over a four year period. The frequency of births and conceptions differed significantly from a random distribution (Rayleigh test, p < 0.001, Table 3). Most births occurred in March (24.6%), April (63.9%) and May (9.8%), with one birth occurring in June 2005 (Fig. 1). Both the mean birth date and median birth date were April 13. Conceptions occurred in August (3.2%), September (73.8%), October (19.8%) and November (3.2%) (Fig. 1). Both the mean and median conception dates were September 23.

Reproductive seasonality of captive groups

Births and extrapolated conception events of 151 females living in 13 captive groups are presented in Fig. 1. Overall, the number of total births recorded was 407. The frequency of births and conceptions differed significantly from a random distribution (Rayleigh test: p < 0.001, Table 3). There was virtually no overlap in birth and conception dates.

In captivity, births occurred between February and June with 88.1% of births in March (14.8%), April (50.4%) and May (22.9%). The only exceptions involved one infant born on December 9, 1998 in the Beijing Zoo and one infant born on December 15, 2009 in Guangdong. Both infants died within a day of their birth. The mean birth date for the captive population was April 20 and the median birth date was April 18.

In the captive groups, 83.2% of conceptions occurred in August (8.6%), September (38.3%) and October (36.3%). The mean conception date was October 2 and the median conception date was October 1.

Factors associated with birth seasonality

Food availability

For the free ranging but provisioned groups, births occurred principally in the spring 2–4 months prior to the peak of food availability, while conceptions occurred in the late Fall 1–2 months after the peak of food availability (Li, 2006; Guo, Li & Watanabe, 2007). All captive groups were also found to be strictly seasonal breeders despite the fact that the quality and quantity of food provided across the year was relatively constant. There was no significant difference in reproductive patterns between two free ranging but provisioned groups and the captive groups (Watson’s U2 test, U = 0.135, p > 0.05).


We found a significant relationship between the timing of conceptions and latitude among the 15 locations of the 13 captive groups and two free ranging groups (Fig. 2, Spearman correlation test, rs = 0.669, p < 0.05). Furthermore, when we excluded the free ranging groups, there still was a significant relationship between the timing of reproductive events and latitude among the captive population (rs = 0.603, p < 0.05), which means that females conceive later in the year in groups living at higher latitude under the same food conditions.

Relationship between reproductive events (conception date) and latitude at two field sites and 13 zoos/wildlife parks in China.
Figure 2: Relationship between reproductive events (conception date) and latitude at two field sites and 13 zoos/wildlife parks in China.


There was, however, a positive correlation between the mean conception date and the magnitude of temperature variations between the coldest and the hottest month in both the captive and free ranging groups (Spearman correlation, with free ranging groups: rs = 0.578, p < 0.05, Fig. 3; without free ranging groups: rs = 0.620, p < 0.05). No other associations were identified between the mean conception date and other temperature variables such as mean annual temperature, mean highest temperature, highest monthly temperature, the magnitude of temperature decrease in the month following the hottest month of the year, and the magnitude of temperature decrease in the two months following the hottest month of the year.

Relationship between the magnitude of mean monthly temperature between the coldest and the hottest month and reproductive events (conception) among golden snub-nosed females inhabiting two field sites and 13 zoos/wildlife parks in China.
Figure 3: Relationship between the magnitude of mean monthly temperature between the coldest and the hottest month and reproductive events (conception) among golden snub-nosed females inhabiting two field sites and 13 zoos/wildlife parks in China.
X axis, conception date in the Julian calendar; Y axis, the magnitude of mean monthly temperature.


Using long-term birth data, we analyzed the characteristics of reproductive patterns in captive and free ranging but provisioned groups of R. roxellana. Using the definition of 66.7% of births occurring within a three month period as an indication of breeding seasonally in primates (Van Schaik, Van Noordwijk & Nunn, 1999), R. roxellana is best described as a highly seasonal breeder, with >90% of births occurring between March and May. Furthermore, using circular statistics, we analyzed the relationship between reproductive seasonality (in terms of mean conception date distributions) and environmental factors, such as food availability, day length (latitude) and temperature. The results indicated that latitude had effect on the timing of reproductive events. However, marked variation in monthly temperature (absolute value of temperature increase) from the coldest month (usually in January) to the peak highest temperature which occurred during the month of July, had the strongest effect on the timing of reproductive activity in both wild and captive groups of R. roxellana inhabiting temperate latitudes.

Although several studies report variable reproductive patterns in wild primates, primate reproduction tends to be less seasonal in captive environments. For example, spider monkeys (Ateles spp.) are non-seasonal breeders in captivity, but exhibit seasonal reproduction in the wild (Chapman & Chapman, 1990). In contrast, captive brown capuchin monkeys (Cebus apella) remain seasonal breeders even when they are provisioned (Bicca-Marques & Gomes, 2005). When one group of rhesus macaques was shifted from Cayo Santiago Island, Puerto Rico to the German Primate Centre, they displayed a non-seasonal reproductive pattern, but returned to seasonal breeding after experiencing constant temperatures and day-length periods for four years (Kaumanns, Singh & Schwibbe, 2013). In the current study, we found that R. roxellana remains a strictly seasonal breeder in both captive and free ranging environments despite living at different latitudes, having access to differences in food availability and predictability, and exposed to different temperature regimes.

In primates, seasonal breeding is particularly common in species inhabiting higher latitudes or altitudes, where food availability exhibits pronounced seasonal variation (Di Bitetti & Janson, 2000; Brockman & Van Schaik, 2005). In their natural environment, R. roxellana mainly give birth during March through May, which is 2–4 months prior to the short period of highest food availability reported to occur at two field sites, Shennongjia (Li, 2006), and Qinling (Guo, Li & Watanabe, 2007), where R. roxellana have been studied. This result is also in keeping with the birth seasonality reported in R. bieti (Cui et al., 2006; Xiang & Sayers, 2009), Cebus capucinus (Carnegie, Fedigan & Melin, 2011), Colobus badius (Struhsaker, 1975), Semnopithecus entellus (Lewis & Kappeler, 2005b), Trachypithecus pileata (Stanford, 1991), Procolobus verus (Korstjens, 2001) and Macaca assamensis (Heesen et al., 2013). However, the period of weaning in R. roxellana is adjusted to a period of high food availability (Stanford, 1991). In March, spring buds and young leaves begin to flush and therefore provide high protein foods for weaned infants/young juveniles. During the weaning, mothers also build up energy reserves over the spring and summer to get into reproductive condition reproduction and ovulate at the end of the summer and early fall; this also provide an explanation for the later birth and conception peaks at higher latitude. Therefore, they fit a model of a capital breeder and use accumulated resources for gestation. Thus, to increase their fitness, the long-lived and high altitude resident R. roxellana adopted an optimal reproductive strategy for both infant and maternal survival by prolonging their reproductive intervals to more than two years. This strategy take the advantage of both capital and income breeder. The same reproductive are also reported in both captive and natural population of R. bieti (Cui et al., 2006; Xiang & Sayers, 2009).

All captive groups of R. roxellana remained highly seasonal breeders even though the individuals were fed nutritionally adequate diets and experienced no seasonal changes in food availability. These results imply that variation in food availability may not be the primary factor that initiates reproduction in this primate species. R. roxellana is highly folivorous with leaves and lichens forming the major dietary constituents throughout the year, supplemented with flowers, seeds/fruits, ubiquitous buds, and bark (Li, 2006; Guo, Li & Watanabe, 2007). Food items like buds, leaves and lichens are less seasonal than fruits and seeds, and provide the monkeys with a rich source of protein and structural carbohydrates (Liu et al., 2013; Clutton-Brock, Albon & Guiness, 1989) to support one of the most energy-demanding phases of the reproductive cycle, late pregnancy and lactation (Heesen et al., 2013). Secondly, the average female body weight is sufficiently large, at 9.4 kg (Kirkpatrick & Grueter, 2010), to buffer against fluctuations in food availability (Wehr, 2001). Di Bitetti & Janson (2000) found that the degree of seasonality of reproduction in new world monkeys was related to diet, latitude, and body size. They suggested that more folivorous species were less reproductive seasonality than frugivores and insectivores. Small-bodied species, which have shorter life spans and are therefore subject to time constraints, have to confine their reproduction to a part of the year, while large-bodied species are buffered against variation in food availability. The diet and life history may affect the timing of births in large-bodied platyrrhines under the same seasonal ecological conditions (Strier, Mendes & Santos, 2001).

Our results did support the hypothesis that the timing of reproduction was regulated by seasonal changes in photoperiod as the females conceived and gave birth later in the year in groups living at more northern latitude. However, Nozaki, Mori & Oshima’s (1990) findings on Japanese macaques in laboratory and transplanted groups did not support this hypothesis. This suggests that the photoperiod has different effect on triggering seasonal breeding in R. roxellana and Japanese macaques, even though several anatomical and molecular studies imply that the neural-hormonal mechanisms associated with photoperiod does affect seasonality of reproduction in monkeys and humans (Wehr, 2001).

The noteworthy result in this study is that female R. roxellana experiencing a higher temperature variations between the coldest and the hottest month had a later mean conception and birth date. The possible mechanism through which temperature might influence reproductive activity is the energetic stress hypothesis, which proposes that energetic stress associated with the costs of thermoregulation can suppress or delay reproduction to conserve future reproductive efforts for a time when the environment is more favorable (Wasser, 1996) or females may need longer to reach critical body condition for ovulation at larger variation of temperature. Females usually conceive when they are able to increase fat stores and/or energetic stress is the least as females allocate energy to reproduction once their body is in positive energy balance or has low daily maintenance costs in Japanese macaques, apes and human (Garcia, Huffman & Shimizu, 2010; Garcia et al., 2011; Roenneberg & Aschoff, 1990; Bronson, 1995; Ellison, Valeggia & Sherry, 2005).

In temperate ecosystem, energetic stress might include nutrient deficiencies during the time that shortage of high quality food as well as costs associated with thermoregulation. Therefore, except food availability, the other possible mechanism that initiate breeding seasonality through energetic stress might be temperature. There are four processes that mainly determine the expenditure of energy of an animal: basal metabolic rate (BMR), active metabolism, growth and reproduction (Carosi, Linn & Visalberghi, 2005). BMR also is partly determined by the costs of thermoregulation, i.e., when the ambient temperature drops substantially below normal body temperature, energy has to be expended for homeostasis. For example, Nakayama et al. (1971) reported that the energy expenditure of outdoor-living captive Japanese macaques at 5.2 °C is 2.5 times larger than that at 29.5 °C. For study groups, mean monthly temperatures in July average is 25.3 °C, while in January it decreases to −0.41 °C. Although photoperiod duration, food abundance and temperature show annual variation in the temperate forests, ambient temperature may be more directly related to the animal’s energy expenditure for the costs of thermoregulation. Considering the variation in temperature and food abundance, the higher temperature variations between the coldest and the hottest month might mean higher energetic stress, which means that R. roxellana females may need more time to reach a good body condition to initiate hormonal changes and regulate fertility. Therefore, if an animal endures a higher temperature variation of environmental temperature would result a later conception or birth.

Although many studies have investigated the relationship between female body condition and conception (Van Schaik, Van Noordwijk & Nunn, 1999; Lewis & Kappeler, 2005b; Van Schaik & Van Noordwijk, 1985; Emery Thompson & Wrangham, 2008), only a few studies (Lewis & Kappeler, 2005a; Koenig et al., 1997; Emery Thompson & Wrangham, 2008; Bercovitch, 1987) have relied on direct evidence, such as measures of body weight or adiposity. Recently, the mechanisms regulating primate reproductive energetic has been examined in wild Sanje mangabeys (Cercocebus sanjei) (McCabe & Emery Thompson, 2013) and chimpanzees(Pan troglodytes) (Emery Thompson, Muller & Wrangham, 2012) by measuring C-peptide as an indicator of energy balance. In the future, new methodologies should be used to measure reproductive energetics, body fat, C-peptide and other indicators of energy storage and energy balance in R. roxellana.

Black and white snub-nosed monkeys (R. bieti) in high altitudes and temperate forests also have a seasonal reproductive pattern. Conception coincides with the end of the period of highest temperatures and food availability, and births occur during periods of increasing temperatures and food availability (Xiang & Sayers, 2009; Huang et al., 2012), suggesting that at least one environmental factor (temperature and/or food availability) controls the timing of conception. By examining captive data, Xiang & Sayers (2009) speculated that temperature might be a critical factor explaining the degree of differences in birth seasonality between wild and captive groups in this species. Similar patterns of seasonal reproduction have also been observed in Hanuman langurs, which occur throughout the Indian subcontinent and Sri Lanka (Lewis & Kappeler, 2005b), and in a group of wild rhesus macaques that reside in the harshest habitats of northern China (Tian et al., 2013). Considering that temperature and resource variation also influence the reproductive pattern of Japanese Macaques (Nozaki, Mori & Oshima, 1990) and Tibetan Macaques (Zhao & Deng, 1988), we argue that the reproductive energetic stress hypothesis may apply to all temperate non-human primates.

The seasonal reproduction of R. roxellana is a complex adaptive response to its extreme high altitude temperate habitat (1,000–4,100 m asl) characterized by low food productivity during late fall and winter (November to March). Reproduction in the wild may be determined by multiple factors. Food abundance and nutrient availability play a crucial role; lower quality and quantity of food availability in the winter as well as ambient temperatures below 0 °C may put an energetic stress on both males and females. Food availability might have on the breeding activity might in a different extend when considered there is different influence of food availability on reproductive patterns between free ranging group and those captive group in similar latitude. Generally speaking, in the temperate and tropical zones, the availability of foods such as fruits, leaves, and insects vary with ambient temperature although other foods such as lichens, was available year round. Our data from captive colonies provide a unique opportunity to distinguish the effects of temperature from variation of food availability in the timing of reproduction; however, more physiological research is required to confirm the hypothesis that energetic stress by temperature and food availability initiate the breeding of temperate primate.

Supplemental Information


All the observed birthdates for captive groups in zoos and wildlife parks; Dataset used for the Figs. 1, 2 and 3.

DOI: 10.7717/peerj.2892/supp-1