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1 August 2017 Comparative analyses of life-history strategies in Asiatic and African wild asses using a demographical approach
Benjamin Ibler, Klaus Fischer
Author Affiliations +
Abstract

Trade-offs such as the ones between reproduction and longevity or present and future reproduction are believed to shape reproductive patterns. We here used zoo data to investigate trade-offs and life histories in four taxa of Asiatic (Equus hemionus ssp.) and African wild asses (Equus africanus ssp.). All taxa showed even in captivity peak birth rates during the periods of highest food availability in their natural environments. Sex-specific survival rates with females living longer than males were evident in kulan and onager but not in kiang and Somali wild ass, pointing towards different life-history strategies even among closely related taxa. Females achieved their highest reproductive output earlier in life than males, which is typical for polygynous mating systems. Offspring number and longevity were positively rather than negatively correlated. Taken together evidence for reproductive trade-offs was weak, though the length of the reproductive period was negatively related to birth rates within the reproductive period. Birth intervals increased with female age, probably reflecting detrimental effects of senescence. Despite several limitations, zoo data seem to be useful to better understand the reproductive biology of endangered, rare or cryptic species.

Introduction

Life histories comprehend all life stages of an individual from birth to death, including age- or stage-specific patterns of reproduction, survival and death. A major objective is to understand how these traits were formed by natural selection in an evolutionary comparative way (Stearns 1989, Roff 2002, Flatt & Heyland 2011). Key life history traits are for instance longevity, age at first reproduction, number and quality of offspring or parental care (Stearns 1989, Roff 2002, Flatt & Heyland 2011). All these traits are thought to be constrained by trade-offs, as limited resources can only be allocated once and, consequently, augmenting one feature will have negative effects on others (Roff 2002, Stearns 1989, Zera & Harshman 2001, Flatt & Heyland 2011).

A classical trade-off is the one between present and future reproduction, meaning that an increase in present reproduction can only be achieved at the expense of reduced future reproduction opportunities, for instance because it reduces longevity (Stearns 1989, Zera & Harshman 2001, Roff 2002). Longevity, however, may strongly affect individual fitness especially in iteroparous, long-lived species due to positive correlations with reproductive output (Newton 1989, Stearns 1989, Zera & Harshman 2001). Hence, longevity and reproduction are expected to be traded off against each other, although positive correlations have been repeatedly found as high-quality individuals may be able to strongly invest into both (Bell & Koufopanou 1986, Clutton-Brock 1988, Newton 1989). Thus, the above tradeoff warrants an optimal distribution of reproductive events throughout lifetime, including birth intervals and birth rates. Birth intervals are regarded as an indicator of the mother's performance, with highquality females being able to afford short intervals (Duncan et al. 1984). Resource-allocation trade-offs may further be modulated by other factors such as population density. This is because density increases competition, typically reducing food availability and storage reserves in turn reducing reproductive potential (Fowler 1987, Stewart et al. 2005).

Though understanding life-history trade-offs is obviously important, appropriate data are often not available. This is especially true for cryptic, rare or endangered species. Against this background we here make use of zoo data gathered for four highly endangered equids, for which hardly any other data are available. We investigate three Asiatic wild ass subspecies (kulan, Equus hemionus kulan, onager, E. h. onager, and kiang, E. h. holdereri) and the African Somali wild ass (Equus africanus somalicus) to get some insights into their life histories. Striking advantages of zoo data are their accuracy and their availability even for endangered, non-domestic species (e.g. Pohle 1971–2014, Pohle 1973–2014, Pelletier et al. 2009). Using such data may not only enhance our general understanding of life-history trade-offs, but also breeding protocols and thus offspring production aiding reintroduction or conservation projects for these highly endangered equids (Nowak 1999, Bahloul et al. 2001, Feh et al. 2001, Moehlmann 2005).

Specifically, we address the following questions here: 1) Do births show age-specific variation and seasonal patterns even under beneficial zoo conditions? 2) Are reproduction and longevity traded-off against each other or are they positively correlated? 3) Are there sex differences in survival patterns, which may reflect differential investment into reproduction? 4) Are high offspring numbers/birth rates associated with lower offspring quality? 5) Do birth intervals dependent on female age as a matter of ongoing senescence, or the sex of the previous offspring due to differential maternal investment?

Fig. 1.

Frequency distributions of births (% of all births) in relation to month of the year in kulan, a) n = 1605; onager, b) n = 837; kiang, c) n = 343; and Somali wild ass, d) n = 426.

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Material and Methods

Study organisms

We here studied three Asiatic wild asses (Equus hemionus), namely kulan (E. h. kulan Groves & Mazak, 1968), onager (E. h. onager Boddaer, 1785), and kiang (E. h. holdereri Moorcroft, 1841), as well as the African Somali wild ass (Equus africanus somalicus Sclater, 1885). Asiatic wild asses live in (semi-)desert and steppe habitats of Russia, Turkmenia and Kazakhstan (kulan), Iran (onager), and Southern China (kiang; Groves & Mazak 1968, Nowak 1999, Oakenfull et al. 2000). Concomitantly, they are able to survive extended periods of time with minimum food and water supply (Klingel 1998, Nowak 1999). Adult females and immatures live in groups of up to 400 individuals and are led by an old female, while adult males tend to live alone (Klingel 1998, Nowak 1999). Kulan and onager are highly endangered due to poaching, habitat destruction, and competition with domestic animals (Dathe 1971, Saltz & Rubenstein 1995, Bahloul et al. 2001, Moehlmann 2005). Kulans mainly persist in (semi-)wild populations in central Asia, and onagers are nowadays restricted to a few protected sites in Iran (Klingel 1998, Bahloul et al. 2001, Moehlmann 2005). Compared with both above taxa, the kiang seems to be less endangered (Nowak 1999, Moehlmann 2005). Historically, Equus africanus was distributed throughout northern Africa, but is now critically endangered and restricted to Ethiopia, Eritrea, and Somalia (Lang & Lehmann 1972, Dathe 1973, Gippoliti 2014). The Somali wild ass also inhabits (semi-) arid bush- and grassland.

Data acquisition and analyses

Because of their high endangerment, the World Association of Zoos and Aquaria decided to establish international studbooks for Asiatic (Pohle 1971–2014) and African wild asses (Pohle 1973–2014). These studbooks include data on > 1800 kulan, 900 onager, 350 kiang, and 620 Somali wild ass individuals. The extant zoo populations were founded by 130 kulan, 55 onager, 10 kiang, and 11 Somali wild asses (Pohle 1971–2014, Pohle 1973–2014). The data collected in the studbooks include sex, date of birth, date of death, transfer dates, locations, and the identity of parents for all individuals kept in zoos at a global scale. These data form the basis for all further analyses (cf. Table 1). We calculated lifespan as the period between birth and death, and post-reproductive phase as the period between the birth of the last offspring and the individual's death. Only data from animals that 1) had already died, 2) originate from the northern hemisphere (because of possible climatic and light cycle influences on mortality rates), and 3) from institutions where no management, culling or contraception as it was the case in the past were applied were included in subsequent analyses. Note that most of the data presented here stem from 1955–1995 i.e. the period during which males and females were typically kept together and unconstrained reproduction was allowed.

Fig. 2.

Frequency distributions of births (%) in relation to male and female age for kulan, a) nmales= 1496, nfemales= 1351; onager, b) nmales= 756, nfemales= 749; kiang, c) nmales = 276, nfemales= 321; and Somali wild ass, d) nmales= 413, nfemales= 413.

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Fig. 3.

Cumulative survival in relation to age in male and female kulan, a) n = 1915; onager, b) n = 899; kiang, c) n = 353; and Somali wild ass, d) n = 432.

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Table 1.

Summary of parameters (including categories and units) used to investigate life-history patterns in Asiatic and African wild asses.

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Table 2.

Results of parent-offspring regressions to estimate the heritability of longevity. Heritabilities were estimated as the slope of midparents versus mid-offspring linear regressions. Only P-values < 0.025 are significant after applying a sequential Bonferroni correction.

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Table 3.

Linear mixed models for the effects of offspring number and birth rate, respectively, on breeding male and female longevity in kulan, onager, kiang, and Somali wild ass. Offspring number reflects the absolute number of offspring sired (for males) or born (for females) throughout the entire lifespan, and birth rate the number of offspring sired or born divided by the respective individual's longevity. For each factor, a separate model was constructed owing to strong correlations among traits. Data were tested for normality and transformed if necessary. The respective reproductive parameter was included as fixed covariate, and individual ID, keeping, and density as random variables. Parameters not shown in the table have been removed during model construction due to redundancy. Only P-values < 0.001 are significant after applying a sequential Bonferroni correction.

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Continued

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Statistical analyses

All statistical tests have been computed using SPSS 13.0 or Minitab 16. The distribution of births in relation to season (month, Fig. 1) and in relation to male and female age across species and sexes (Fig. 2) were tested against each other using Kolmogorov-Smirnov tests. Survival curves of males and females were statistically compared with Wilcoxon-Gehan tests (Fig. 3). Heritability of longevity was estimated as the slope of mid-parent versus mid-offspring regressions (Table 2). To investigate effects of 1) reproductive traits on longevity (Table 3), 2) reproductive traits on the length of the reproductive and post-reproductive phase, respectively (Table 4), and 3) the impact of age at reproduction on birth intervals (Table 5) we used linear mixed models including individual identity (ID), keeping and density (if applicable) as random (or repeated) covariates. We calculated “individual density” as the median group size experienced by a given individual during its entire life span, keeping as the location where the animal lived the majority of its lifespan and ID as the identity number of a certain individual.

Results

Births in relation to season and age

In terms of the distribution of birth rates across the season, all four taxa showed similar patterns with peaks between May and July (Fig. 1). In Somali wild asses, though, births appeared to be more scattered throughout the season than in the other three taxa. Sex differences, with birth rates peaking at a later age in males than in females, were significant in all four taxa (Kolmogorov-Smirnov test: all P-values < 0.001; Fig. 2). Accordingly, first reproduction took place at an age of three years in kulan males, two years in kulan females, three years in onager males, two years in onager females, two years in kiang males, three years in kiang females, four years in male and two years in female Somali wild asses. Birth distributions in relation to age for males were very similar across species, the only significant difference occurring between kiang and Somali wild ass (Z = 5.6, P < 0.001), with the distribution being more peaked in kiang. The same pattern of a more peaked birth distribution, being significantly different from all other species (all P-values < 0.004), also prevailed in female kiang. Furthermore, the distribution of births in kulan females differed from those in onager and Somali wild ass (both P-values < 0.001). All other comparisons were non-significant.

Table 4.

Reproductive parameters and the length of the reproductive phase and the post-reproductive phase. Effects of various reproductive parameters (cf. Table 1) on the length of the reproductive phase and the post-reproductive phase, respectively, using linear mixed models for kulan, onager, kiang, and Somali wild ass females. For each factor, a separate model was constructed owing to strong correlations among traits. Data were tested for normality and transformed if necessary. The respective reproductive parameter was included as fixed covariate, and individual ID, keeping, and density as random variables. Parameters not shown in the table have been removed during model construction due to redundancy. Only P-values < 0.0005 are significant after applying a sequential Bonferroni correction.

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Continued

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Continued

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Continued

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Sex- and species-specific variation in survival rates

Mean longevity was 5.1 ± 0.3 and 8.7 ± 0.4 years in kulan males and females, 5.7 ± 0.4 and 9.4 ± 0.5 years in onager males and females, 5.8 ± 0.6 and 6.6 ± 1.0 years in kiang males and females, and 6.8 ± 0.8 and 6.5 ± 1.0 years in male and female Somali wild asses. Accordingly, kulan (Wilcoxon-Gehan: 24.2, df = 1, P < 0.001) and onager females (Wilcoxon-Gehan: 20.6, P < 0.001) showed significantly higher survival rates than their male counterparts, which was not the case in kiang (P = 0.431) and Somali wild ass (P = 0.660; Fig. 3). Across species, male survival rates did not differ significantly (all P-values > 0.3). In contrast, kulan and onager females had significantly higher survival rates than kiang and Somali wild ass females (kulan vs. kiang: Wilcoxon-Gehan: 7.2, P = 0.007; kulan vs. Somali wild ass: Wilcoxon-Gehan: 5.4, P = 0.021; onager vs. kiang: Wilcoxon-Gehan: 6.3, P = 0.012; onager vs. Somali wild ass: Wilcoxon-Gehan: 5.3, P = 0.022; all other combinations non-significant: P > 0.6). Throughout, mortality rates were not significantly affected by male or female density (after Bonferroni correction; range of P-values 0.022 - 0.983, n = 16 analyses). Parent-offspring regressions indicated significant heritability for longevity in kulan and onager and an according tendency in kiang (Table 2).

Reproduction and longevity

Mean offspring number per breeding individual was 7 ± 0.5 in kulan males and 4 ± 0.2 in kulan females, 7 ± 0.6 and 4 ± 0.2 in onager males and females, 7 ± 1.3 and 3 ± 0.3 in kiang males and females, and 9 ± 1.3 and 4 ± 0.3 in Somali wild ass males and females. Maximum offspring number amounted to 42 and 16 in kulan males and females, 36 and 13 in onager males and females, 28 and 10 in kiang males and females, and 38 and 10 in Somali wild ass males and females. Offspring number was significantly positively related to longevity in kulan males and females, onager males and females, and Somali wild ass males and females, but not in kiang males and females, while birth rate was not significantly related to longevity throughout (Table 3).

Table 5.

Effects of age at each reproductive event and the sex of the previous offspring on birth interval using linear mixed models. Birth interval was included as fixed covariate, age at first reproduction as covariate, sex of the previous offspring as fixed factor, animal ID as repeated, keeping and density as random variables. Data were tested for normality and transformed if necessary. Parameters not shown in the table have been removed during model construction due to redundancy. Only P-values < 0.007 are significant after applying a sequential Bonferroni correction.

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The length of reproductive phase (Table 4) correlated significantly positively with longevity and offspring number in all taxa, and with birth rate throughout the entire lifespan in two out of four taxa. Reproductive phase tended to be negatively related to postreproductive phase in kulan and onager, and to birth rate within the reproductive phase in one out of four cases (plus two according tendencies). No significant relations were found between offspring surviving > 100 days and the length of the reproductive phase. Age at first reproduction was significantly negatively related to the length of the reproductive phase in kiang only. Throughout, effects of female identity, keeping, and density had no significant influence.

Similar to above, the length of the post-reproductive phase was significantly positively related to female longevity in all four taxa (Table 4). Additionally, birth rate throughout the entire lifespan was significantly negatively associated with the length of the pos-treproductive in kulan and onager. Relationships between other reproductive traits and the length of the post-reproductive were non-significant throughout, as were effects of female identity, keeping, and density. Birth intervals increased significantly with age in all four taxa, while the sex of the previous offspring had no significant impact (Table 5). Effects of individual ID were significant throughout, while those of keeping or density were not. Regarding the relationship between birth rate throughout the entire lifespan and the percentage of offspring surviving > 100 days, a significantly negative relationship was found in kulan females only (F1,209 = 15.8, P < 0.0001; all other P-values > 0.46).

Discussion

Births in relation to season and age

All four taxa showed a seasonal distribution of births peaking in spring and early summer (May to July), though the distribution appeared to be less peaked in Somali wild asses compared with the other taxa. Asiatic wild asses live in Asian regions where rainfalls peak usually in spring. Thus, the majority of young are born 1–2 months after peak rainfall, i.e. within the period of highest food availability (Siegmund 2006). At the same time, females are in good condition within this period of time (Prins 1996). The Przewalski horse (Equus przewalski), a related equid with similar biology, also shows a peak of births between May and July (Volf 1996). In Somalia and Eritrea, the home of the Somali wild ass, most rain falls in May, October and November, which may explain the more scattered birth pattern. Anyway, our data clearly suggest that the wild asses studied are well synchronized with the ecological conditions within their natural environments, despite being kept under favourable conditions throughout the year. Compared with females, males are typically older when they reproduce for the first time. This pattern is characteristic for polygynous mating systems, in which males compete directly for access to females (sexual bimaturism: Badyaev 2002, Taborsky & Brockmann 2010). Accordingly, males reach their highest reproductive output later than females.

Sex- and species-specific variation in survival rates

In kulan and onager but not in kiang and Somali wild ass, females lived longer than males as has been also found in other mammals and birds (Promislow 1992). This difference is caused by females of both former taxa living longer than their male counterparts as well as kiang and Somali wild ass females, while male longevity did not differ significantly across taxa throughout. A shorter male lifespan may originate from the need to monopolize females, which depends on resource holding potential (i.e. is strength; Klingel 1977, Badyaev 2002, Taborsky & Brockmann 2010). Therefore, males have to accumulate more body mass and, thus, need more energy (Clutton-Brock et al. 1997, Badyaev 2002, Taborsky & Brockmann 2010). Nevertheless, they are typically able to monopolize females in their “best years” only, reducing benefits of living particularly long. In females, in contrast, longevity is often positively related to offspring number (see below). Why kiang and Somali wild ass did not show sexual differences in mortality rates is currently unclear, while the very similar patterns found for onager and kulan may reflect their close relatedness. Both taxa can hardly be distinguished phenotypically and are fully hybridisable (Dathe 1971). Longevity showed a low heritability in kulan and onager and an according tendency in kiang, which is typical for fitness-related traits (Falconer 1981, Kruuk et al. 2000, Åkesson et al. 2008).

Reproduction and longevity

High reproductive investment and longevity are often believed to be traded-off against each other (Clutton-Brock 1988, Newton 1989, Kirkpatrick & Turner 2007). In our study, though, longevity and the length of the reproductive period were positively related (except in kiang for the correlation with longevity). Such patterns of positive rather than negative correlations have been found repeatedly (Bell & Koufopanou 1986, Clutton-Brock 1988, Newton 1989). They presumably reflect that individuals getting older have more time to produce offspring, and that high-quality individuals may afford to strongly invest into both longevity and reproduction (Bell & Koufopanou 1986, Clutton-Brock 1988, Newton 1989). In this context, it should be noted that birth rate was not related to longevity, showing that birth rates were similar in animals differing in lifespan, corroborating the first conclusion above. Additionally, the length of the reproductive period was positively related to birth rate throughout the entire lifespan in two taxa, supporting the second conclusion.

Reproductive and post-reproductive phase jointly contributed to longevity (Cohen 2004, Turbill & Ruf 2010), although the two were negatively correlated in two taxa. A prolonged post-reproductive phase may have, e.g. in humans, benefits for the group (Judge & Carey 2000, Reznick et al. 2006, Lahdenperä et al. 2014), which may also apply to equids (Klingel 1977, 1998, Volf 1996). Interestingly, the length of the reproductive period and birth rate within the reproductive period (i.e. mean birth intervals) were negatively correlated in three taxa, suggesting a tradeoff between the two. Thus, it appears that a fixed number of offspring can be produced within a longer or shorter time period, but that high birth rates cannot be sustained over longer periods (Grange et al. 2004, Barnier et al. 2012).

Birth intervals depend mainly on the delay of conception after birth (Puschmann 2003, Barnier et al. 2012). In plains zebra (Equus quagga ssp.) a longer birth interval after male than female offspring has been found, indicating that sons may be more costly than daughters (Clements et al. 2011, Barnier et al. 2012), based on a higher demand for food and care (Trivers & Willard 1973, Cameron & Linklater 2000, Barnier et al. 2012). In our study, however, such relationships were not evident throughout. However, birth interval increased with increasing female age, suggesting detrimental effects of ongoing senescence (Clutton-Brock 1984).

Conclusions

We here used zoo-derived data to explore lifehistory trade-offs and reproductive patterns in four equid taxa. Captive populations experience highly favourable conditions and are largely relieved from seasonal constraints (e.g. food, climate, predators). Even though birth rates clearly showed seasonal variation matching the food availability in their natural habitats. We therefore assume that data derived from zoo populations may be at least to some extent useful to understand animal life histories. Interestingly, females lived longer than males in two of the taxa only, indicating divergent life-history strategies even amongst these closely related taxa. Offspring number and longevity were positively rather than negatively correlated, indicating that high-quality individuals can afford to invest into both at a time. Evidence for trade-offs, in contrast, was very weak. As an example, the length of the reproductive period was negatively related to birth rate within the reproductive period. This may suggest that a fixed number of offspring can be produced within a longer or shorter period, but that high birth rates cannot be sustained over extended time periods. Despite several limitations, zoo data seem to be useful to better understand the reproductive biology of endangered, rare or cryptic species.

Acknowledgements

We would like to thank Claus Pohle, manager of the international studbook for Asiatic and African wild asses since 1966, Dr. Bernhard Blaszkiewitz, director emeritus, Berlin, and Dr. Frank Brandstätter, director of Dortmund Zoo, for their support and valuable discussions on mammal life histories, Dr. Doris Schuhmann and Bodo Brandt for linguistic revisions, and Sebastian Graf for kind help with statistics and software.

Literature

1.

Åkesson M., Bensch S., Hasselquist D. et al. 2008: Estimating heritabilities and genetic correlations, comparing the “animal model” with parent-offspring regression using data from a natural population. PLoS ONE 1: e739. Google Scholar

2.

Badyaev A.A. 2002: Growing apart. An ontogenetic perspective on the evolution of sexual size dimorphism. Trends Ecol. Evol. 17: 369–378. Google Scholar

3.

Bahloul K., Pereladova O.B., Soldatova N. et al. 2001: Social organization and dispersion of introduced kulans (Equus hemionus kulan) and Przewalski horses (Equus przewalski) in the Bukhara Reserve, Uzbekistan. J. Arid Environ. 47: 309–323. Google Scholar

4.

Barnier F., Grange S., Ganswindt A. et al. 2012: Interbirth interval in zebras is longer following the birth of male foals than after female foals. Acta Oecol. 42: 11–15. Google Scholar

5.

Bell G. & Koufopanou V. 1986: The cost of reproduction. Oxf. Surv. Evol. Biol. 3: 83–131. Google Scholar

6.

Cameron E.Z. & Linklater W.L. 2000: Individual mares bias investment in sons and daughters in relation to their condition. Anim. Behav. 60: 359–367. Google Scholar

7.

Clements M.N., Clutton-Brock T.H., Albon S.D. et al. 2011: Gestation length variation in a wild ungulate. Funct. Ecol. 25: 691–703. Google Scholar

8.

Clutton-Brock T.H. 1984: Reproductive effort and terminal investment in iteroparous animals. Am. Nat. 123: 212–229. Google Scholar

9.

Clutton-Brock T.H. 1988: Reproductive success. Studies of individual variation in contrasting breeding systems. University of Chicago Press , Chicago, U.S.AGoogle Scholar

10.

Clutton-Brock T.H., Rose K.E. & Guinness F.E. 1997: Density-related changes in sexual selection in red deer. Proc. R. Soc. Lond. B 264: 1509–1516. Google Scholar

11.

Cohen A.A. 2004: Female post-reproductive lifespan, a general mammalian trait. Biol. Rev. 79: 733–750. Google Scholar

12.

Dathe H. 1971: Introduction for the setting up of international studbook of the Asiatic wild ass. In: Pohle C. (ed.), International studbook for Asiatic wild asses, 1st ed. Berlin: 8–13. Google Scholar

13.

Dathe H. 1973: Introduction for the setting up of international studbook of the African wild ass. In: Pohle C. (ed.), International studbook for African wild asses. 1st ed. Berlin : 6–7. Google Scholar

14.

Duncan P., Harvey P.H. & Wells S.M. 1984: On lactation and associated behaviour in a natural herd of horses. Anim. Behav. 32: 255–263. Google Scholar

15.

Falconer D.S. 1981: Introduction to quantitative genetics, 2nd ed. Longman , LondonGoogle Scholar

16.

Feh C., Munkhtuya B., Enkhbold S. & Sukhbaatar T. 2001: Ecology and social structure of the Gobi khulan (Equus hemionus subsp.) in the Gobi B National Park, Mongolia. Biol. Conserv. 101: 51–61. Google Scholar

17.

Flatt T. & Heyland A. 2011: Mechanisms of life history evolution. The genetics and physiology of life history traits and trade-offs. Oxford University Press , OxfordGoogle Scholar

18.

Fowler C.W. 1987: A review of density dependence in populations of large mammals. Curr. Mammal. 1: 401–441. Google Scholar

19.

Gippoliti S. 2014: The forgotten donkey's history. Remarks on African wild asses of the Giardino Zoologico in Rome and their relevance for Equus africanus (von Heuglin & Fitzinger, 1866) taxonomy and conservation. Zool. Gart. 83: 146–153. Google Scholar

20.

Grange S., Duncan P., Gaillard J.M. et al. 2004: What limits the Serengeti zebra population? Oecologia 140: 523–532. Google Scholar

21.

Groves C.P. & Mazak V. 1968: On some taxonomic problems of Asiatic wild asses with the description of a new subspecies (Perissodactyla; Equidae). Z. Säugetierkd. 32: 321–355. Google Scholar

22.

Judge D.S. & Carey J.R. 2000: Postreproductive life predicted by primate patterns. J. Gerontol. A 55: B201–B209. Google Scholar

23.

Kirkpatrick J.F. & Turner A. 2007: Immunocontraception and increased longevity in equids. Zoo Biol. 26: 237–244. Google Scholar

24.

Klingel H. 1977: Observations on social organization and behaviour of African and Asiatic wild asses (Equus africanus and E. hemionus). Ethology 44: 323–331. Google Scholar

25.

Klingel H. 1998: Observations on social organization and behaviour of African and Asiatic wild asses (Equus africanus and Equus hemionus). Appl. Anim. Behav. Sci. 60: 103–113. Google Scholar

26.

Kruuk L.E.B., Clutton-Brock T.H., Slate J. et al. 2000: Heritability of fitness in a wild mammal population. Proc. Natl. Acad. Sci. U.S.A. 97: 698–703. Google Scholar

27.

Lahdenperä M., Mar K.U. & Lummaa V. 2014: Reproductive cessation and post-reproductive lifespan in Asian elephants and preindustrial humans. Front. Zool. 11: 54. Google Scholar

28.

Lang E.M. & Lehmann E. 1972: Wildesel in Vergangenheit und Gegenwart. Zool. Gart. 41: 157–167. Google Scholar

29.

Moehlman P.D. 2005: Endangered wild equids. Sci. Am. 292: 86–93. Google Scholar

30.

Newton I. 1989: Lifetime reproductive success in birds. Academic Press , LondonGoogle Scholar

31.

Nowak R.M. 1999: Walker's mammals of the world. Smithsonian Institution Press , WashingtonGoogle Scholar

32.

Oakenfull E.A., Lim H.N. & Ryder O.A. 2000: A survey of equid mitochondrial DNA, implications for the evolution, genetic diversity and conservation of Equus. Conserv. Genet. 1: 341–355. Google Scholar

33.

Pelletier F., Réale D., Watters J. et al. 2009: Value of captive populations for quantitative genetics research. Trends Ecol. Evol. 24: 263–270. Google Scholar

34.

Pohle C. 1971–2014: International studbook for Asiatic wild asses, vol. 1–46. BerlinGoogle Scholar

35.

Pohle C. 1973–2014: International studbook for African wild asses, vol. 1–41. BerlinGoogle Scholar

36.

Prins H.H. 1996: Ecology and behaviour of the African buffalo. Social inequality and decision making. Wildlife ecology and behaviour series 1, Chapman & Hall , LondonGoogle Scholar

37.

Promislow D.E.L. 1992: Senescence in natural populations of mammals, a comparative study. Evolution 45: 1869–1887. Google Scholar

38.

Puschmann W. 2003: Zootierhaltung. Säugetiere. Harri Deutsch Verlag , Frankfurt am MainGoogle Scholar

39.

Reznick D., Bryant M. & Holmes D. 2006: The evolution of senescence and post-reproductive lifespan in guppies (Poecilia reticulata). PLoS Biol. 4: e7. Google Scholar

40.

Roff D.A. 2002: The evolution of life histories, 7th vol. Sinauer , New YorkGoogle Scholar

41.

Saltz D. & Rubenstein D.I. 1995: Population dynamics of a reintroduced Asiatic wild ass (Equus hemionus) herd. Ecol. Appl. 5: 327–335. Google Scholar

42.

Siegmund A. 2006: Diercke spezial, Angewandte Klimageographie. Klimatabellen und ihre Auswertung. Westermann , BraunschweigGoogle Scholar

43.

Stearns S.C. 1989: Trade-offs in life-history evolution. Funct. Ecol. 3: 259–268. Google Scholar

44.

Stewart K.M., Bowyer R.T., Dick B.L. et al. 2005: Density-dependent effects on physical condition and reproduction in North-American elk, an experimental test. Oecologia 143: 85–93. Google Scholar

45.

Taborsky M. & Brockmann H.J. 2010: Alternative reproductive tactics and life history phenotypes. In: Kappeler P. (ed.), Animal behaviour, evolution and mechanisms. Springer , Berlin : 537–586. Google Scholar

46.

Trivers R.L. & Willard D.E. 1973: Natural selection of parental ability to vary the sex-ratio of offspring. Science 191: 249–263. Google Scholar

47.

Turbill C. & Ruf T. 2010: Senescence is more important in the natural lives of long- than short-lived mammals. PLoS ONE 5: e12019. Google Scholar

48.

Volf J. 1996: Das Urwildpferd Equus przewalski. Neue Brehm Bücherei 249. Westarp Wissenschaften , MagdeburgGoogle Scholar

49.

Zera A.J. & Harshman L.G. 2001: The physiology of life history trade-offs in animals. Annu. Rev. Ecol. Evol. Syst. 32: 95–126. Google Scholar
Benjamin Ibler and Klaus Fischer "Comparative analyses of life-history strategies in Asiatic and African wild asses using a demographical approach," Folia Zoologica 66(2), 133-146, (1 August 2017). https://doi.org/10.25225/fozo.v66.i2.a8.2017
Received: 4 January 2017; Accepted: 1 June 2017; Published: 1 August 2017
KEYWORDS
birth interval
life-history
post-reproductive phase
reproductive phase
trade-off
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