نامه انجمن جمعیت شناسی ایران

نامه انجمن جمعیت شناسی ایران

مطالعه پویایی جمعیت در جوامع باستانی با استفاده از رویکرد دیرین جمعیت‌شناختی

نوع مقاله : مقاله مروری

نویسندگان
1 دانشجوی دکتری باستان‌شناسی، دانشگاه تهران، تهران، ایران
2 دانشیار باستان‌شناسی، دانشکده ادبیات و علوم انسانی دانشگاه تهران، تهران، ایران
3 دانشیار گروه جمعیت‌شناسی، دانشکده علوم اجتماعی، دانشگاه تهران، تهران، ایران
چکیده
دیرین‌جمعیت‌شناسی، شناسایی شاخصه‌های جمعیت‌شناختی جوامع گذشته براساس یافته‌های باستان‌شناختی است. فرض نخست بازسازی‌های دیرین‌جمعیت‌شناختی این است که تعداد، سن و جنس به‌دست آمده از بقایای انسانی به‌طور دقیق نشان‌دهنده میزان مرگ‌و‌میر جمعیت زنده گذشته است. براساس اصل یکنواخت‌گرایی، فرض می‌شود که ابعاد زیست‌شناختی مرگ‌ومیر و باروری انسان‌ها در گذشته، مانند حال حاضر بوده است. جدا از اهمیت تعداد و میزان رشد جمعیت،تحلیل ساختار جمعیت می‌تواند بینش قابل‌توجهی در مورد شیوه زندگی و فرآیندهای جمعیتی گذشته ارائه دهد. ساختار جمعیتی یک جمعیت به نوبه خود تحت‌تأثیر اثر تجمعی تجربه تاریخی سلامت و بیماری آن جمعیت است. در برخی شرایط، داده‌های جمعیت‌شناختی ممکن است شواهدی از علت خاصی از مرگ ارائه دهند. مرگ‌و‌میر فاجعه‌بار که در نتیجه یک بلای طبیعی یا شیوع یک بیماری با مرگ‌ومیر بالا رخ می‌دهد، مشخصات مرگ‌ومیری ایجاد می‌کند که ساختار سنی کل جمعیت در معرض خطر را منعکس می‌کند. گرچه مهاجرت تأثیر عمیقی بر توزیع جهانی بیماری‌ها و پیامدهایی برای بسیاری از جمعیت‌های بومی دارد، علل فرهنگی دیگر از جمله جنگ نیز می‌توانند ساختار جمعیتی را تغییر دهند. این نوشتار برآن است تا با استفاده از رویکرد دیرین‌جمعیت‌شناسی، مروری بر عوامل موثر در ایجاد و تغییر ساختار جمعیتی جوامع گذشته داشته باشد.
کلیدواژه‌ها

عنوان مقاله English

The Study of Ancient Population Dynamics using Paleodemographic Approach

نویسندگان English

Elham Farnam 1
Mostafa Dehpahlavan 2
Rasoul Sadeghi 3
1 PhD Candidate in Prehistorical Archaeology, University of Tehran, Tehran, Iran
2 Associate Professor of Archaeology, Faculty of Literature and Humanities, University of Tehran, Tehran, Iran
3 Associate Professor, Department of Demography, Faculty of Social Sciences, University of Tehran, Tehran, Iran
چکیده English

Paleodemography seeks to discern the demographic parameters of ancient populations through archaeological evidence. The foundational assumption in paleodemographic reconstructions is that the age and sex distribution of unearthed mortality samples accurately represent the death rates of the populations they belonged to. Under the principle of uniformitarianism, it is assumed the biological processes related to mortality and fertility in human populations have remained constant over time. Apart from the importance of overall numbers and rates of population growth, analyzing population structure offers deep insights into historical demographic processes and societal behaviors. The structure of a population in turn is shaped by the aggregate impact of health and disease experiences over time within a population. In certain cases, demographic data may provide evidence of a specific cause of death. Catastrophic events, whether natural mass disasters or high-mortality disease epidemics yield mortality distributions that reflect the age structure of the population at risk. Moreover, human migration significantly affects disease distribution globally, impacting indigenous populations, while other societal factors like war can also change the population structures. This paper reviews the determinants that shape and change the demographic structures of ancient populations by using the paleo-demographic approach.
 
Extended Abstract
Introduction
Paleodemography is the study of fertility and mortality rates and population distribution and density in ancient human populations that lack written documents containing evidence of their demographic behavior. Therefore, paleodemography relies on material evidence and archaeological discoveries. One of its main approaches is the estimation of demographic parameters from anthropological data, notably the estimated sex and age of human skeleton remains from the past. Changes in the size, structure, and dynamics can be predicted for a particular population if fertility, mortality, and migration rates for that population are known. A stable population is a population that is closed to migration and has an unchanging age-sex structure that increases or decreases in size at a constant rate. In a stable population, theoretically closed to migration with a constant age-sex structure, the number of individuals in each age group increases or decreases at the same rate as the whole population. Normally, it takes about 50 to 100 years for the age distribution of the population to achieve a stable structure. However, since no real population maintains constant fertility and mortality schedules for long periods of time, and few real-life populations are truly closed to migration, the concept of a stable population is largely theoretical. Nonetheless, pre-industrial human populations closely approximated this model.
 The age structure of a population refers to the distribution of the number of individuals by chronological age at the time of census. The age-at-death structure of a mortality sample differs from the age structure of the living population where the death occurred. In most populations, the risk of death varies with age. The probability of death varies by age in most populations, being higher among the very young and very old people. An increase in fertility and a decrease in mortality change the age structure of a living population towards a higher proportion of young individuals. However, the effect of changes in fertility is much more specific because it affects the birth cohort, whereas mortality is distributed over all age groups. In populations with positive intrinsic growth rates, the ratio of young to elderly exceeds that of a stable population.
 The sex composition, or sex ratio, of a population is calculated by dividing the number of males by the number of females, and it changes with age due to sex-specific mortality differences. Migration also significantly influences the sex ratio. In contemporary human populations, the sex ratio at birth is typically around 1.05. This ratio is influenced by the greater mortality rates in males following birth throughout all age groups, which leads to an equalized sex ratio close to 1.0 by the onset of reproductive age. Female infanticide also affects this ratio.
 
Data and Methods
This article is the result of a review research, that utilized databases such as Jstor, Google Scholar, Academia, and ResearchGate to gather relevant literature. The search focused on keywords including ‘paleodemography’, ‘sex ratio’, ‘age structure’, and ‘population structure within ancient populations’ as mentioned in the title or keywords. All accessible articles, theses, and books in English were considered, irrespective of publication year, and were freely downloaded. Owing to the nascent stage of paleodemography in Iran, Persian sources were not included in the search.
 
Findings
The basic pattern of attritional mortality, in which the very young and the very old individuals are at greater risk of death, can be reconstructed for some ancient populations. Influential factors in changing population structure include both cultural and environmental factors. Sedentary populations are thought to maintain higher fertility rates than nomadic ones, which is likely reflected in their population structure, with a relatively larger number of infants and juveniles due to rapid population growth. While age-specific mortality in hunter-gatherer populations follows the expected pattern of all human societies—high infant mortality, low risk of death in the second decade of life, and rising mortality risk with increasing age during adulthood—the age-specific fertility pattern is distinctive. The peak of women's fertility in hunter-gatherer societies occurs in the late twenties to early thirties of their lives, in contrast to many sedentary agriculturalist populations, where it peaks in the early twenties. This is despite the fact that the average age of menopause remains constant across all populations. For this reason, the peak fertility rate of women in agricultural populations is about 0.4-0.5 births per year compared to maximum values of about 0.3 births per year in hunter-gatherer populations. Migration also impacts the demographic structure of both origin and destination populations. The desire to migrate depends strongly on socio-economic conditions and cultural norms.
Catastrophic mortality, resulting from natural disasters, disease epidemics, or violent inter-group conflicts significantly limits long-term rates of human population growth. Catastrophic mortality may be underrepresented in the archaeological record, as these events are often inimical to the organized burial of the victims. The age structure of the military organization is typically young adult males with a modal age at death in the early twenties, whereas civilian groups reflect the living population’s age distribution. Ethnographic data on primitive societies show that many societies targeted noncombatants during the war. There is evidence of variation in age- and sex-specific mortality risk during floods and earthquakes, showing consistently lower mortality rates for young adults and infants compared to children and the elderly, and for men compared to women. Famine induces a demographic crisis characterized by excessive mortality, reduced fertility, and interregional migration. Famine-related deaths are often indirectly caused by increased infectious diseases such as diarrheal illnesses, rather than malnutrition and starvation. A pattern of fertility decline followed by compensatory fertility is a regular feature of famines, attributed to a combination of both biological and social factors. The age-specific mortality pattern in epidemics can be either attritional, catastrophic, or a combination of both.
 
Conclusion
 As discussed, paleodemographic methods can address a wide range of archaeological questions. These include assessing the impact of environmental changes on human populations; understanding demographic responses to changes in subsistence technology; examining the rate of population growth, migration, and cultural changes; exploring the interaction between population structure and infectious diseases; evaluating the attritional and catastrophic mortality balance in historical populations; determining mortality level due to warfare, infanticide, and other interpersonal violence; and investigating the role of population processes in social conflicts and cultural collapse. Comparative analyses of populations indicate that infectious diseases and trauma were the predominant causes of death in the past.       

کلیدواژه‌ها English

Paleodemography
Population age structure
Sex composition
Demographic analysis
Stable population
Acsa´di, G., Nemeske´ri, J. (1970). History Of Human Life Span and Mortality, Budapest: Akade´miai Kiado´.
Aiello, L. C., Molleson, T. (1993). Are Microscopic Ageing Techniques More Accurate than Macroscopic Ageing Techniques?, Journal of Archaeological Science, 20(6): 689–704. https://doi.org/10.1006/jasc.1993.1043
Ammerman, J., Cavalli-Sforza, L. (1973). A population model for the diffusion of early farming in Europe, in Renfrew, C. (ed.), The Explanation of Culture Change, London: Duckworth.
Amundsen, W., & Diers, J. (1970). The age of menopause in classical Greece and Rome, Human Biology, 42(1), 79–86. https://www.jstor.org/stable/41449006
Amundsen, W., & Diers, J. (1973). The age of menopause in medieval Europe, Human Biology, 45(1), 605–612. https://www.jstor.org/stable/41459908
Angel, L. (1947). The length of life in ancient Greece, Journal of Gerontology, 2(1), 18–24. https://doi.org/10.1093/geronj/2.1.18
Angel, L. (1954). Human biology, health and history in Greece from the first settlement until now, Yearbook of American Philosophical Society, 98, 168–174.
Bentley, G. R., Goldberg, T., & Jasieńska, G. Y. (1993). The fertility of agricultural and non-agricultural traditional societies. Population Studies, 47(2), 269–281. https://doi.org/10.1080/0032472031000147006
Binford, R. (1968). Post-Pleistocene adaptations, in Binford, R., Binford, R. (eds.), New Perspectives in Archeology, Chicago: Aldine.
Bocquet-Appel, J.-P., & Demars, P. Y. (2000). Neanderthal contraction and modern human colonization of Europe. Antiquity, 74(285), 544–552. https://doi.org/10.1017/s0003598x00059901
Bocquet-Appel, J.-P., & Masset, C. (1982). Farewell to paleodemography. Journal of Human Evolution, 11(4), 321–333. https://doi.org/10.1016/s0047-2484(82)80023-7
Bocquet-Appel, J.-P., Demars, P.-Y., Noiret, L., & Dobrowsky, D. (2005). Estimates of Upper Palaeolithic meta-population size in Europe from archaeological data. Journal of Archaeological Science, 32(11), 1656–1668. https://doi.org/10.1016/j.jas.2005.05.006
Boldsen, J. L. (1988). Two Methods for reconstructing the empirical mortality profile. Human Evolution, 3(5), 335–342. https://doi.org/10.1007/bf02447215
Boserup, E. (1965). The Conditions of Agricultural Growth. Chicago: Aldine. https://doi.org/10.4324/9781315070360
Bronson, B. (1975). The earliest farming: demography as cause and consequence, in Polgar, S. (ed.), Population, Ecology and Social Evolution. The Hague: Mouton. https://doi.org/10.1515/9783110813487.23
Buikstra, J. E., Konigsberg, L. W., & Bullington, J. (1986). Fertility and the development of agriculture in the prehistoric Midwest. American Antiquity, 51(3), 528–546. https://doi.org/10.2307/281750
Carneiro, R. L. (1970). A Theory of the Origin of the State: Traditional theories of state origins are considered and rejected in favor of a new ecological hypothesis. Science, 169(3947), 733–738. https://doi.org/10.1126/science.169.3947.733
Chamberlain, A. (2006). Demography in Archaeology (Manuals in Archaeology), Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511607165
Childe, G. (1936). Man Makes Himself, London: Watts
Coale, A. J. (1957). How the age distribution of a human population is determined. Cold Spring Harbor Symposia on Quantitative Biology, 22, 83–89. https://doi.org/10.1101/sqb.1957.022.01.010
Coale, J. & Demeny, P. (1966). Regional Model Life Tables and Stable Populations, Princeton, NJ: Princeton University Press.
Cohen, N. (1977). The Food Crisis in Prehistory: Overpopulation and the Origin of Agriculture, New Haven: Yale University Press.
Corruccini, R. S., Brandon, E. M., & Handler, J. S. (1989). Inferring fertility from relative mortality in historically controlled cemetery remains from Barbados. American Antiquity, 54(3), 609–614. https://doi.org/10.2307/280788
Crosby, A. W. (1976). Virgin soil epidemics as a factor in the aboriginal depopulation in America. The William and Mary Quarterly, 33(2), 289. https://doi.org/10.2307/1922166
Daly, M., Wilson, M. (1984). A sociobiological analysis of human infanticide, in Haufstater, G., Hrdy, B. (eds.), Infanticide: Comparative and Evolutionary Perspectives. New York: Aldine. https://doi.org/10.1002/CD.23219811107
Daugherty, G., Kammeyer, W. (1995). An Introduction to Population, New York: The Guilford Press.
De Waal, A. (1989). Famine mortality: A case study of Darfur, Sudan 1984–5. Population Studies, 43(1), 5–24. https://doi.org/10.1080/0032472031000143826
Dickeman, M. (1975). Demographic consequences of infanticide in man. Annual Review of Ecology and Systematics, 6(1), 107–137.  https://doi.org/10.1146/annurev.es.06.110175.000543
Dumond, D. E. (1965). Population Growth and Cultural Change. Southwestern Journal of Anthropology, 21(4), 302–324. https://doi.org/10.1086/soutjanth.21.4.3629434
Gage, B. (1990). Variation and classification of human age patterns of mortality: Analysis using competing hazards models, Human Biology, 62(5), 589 –617. http://www.jstor.org/stable/41932359
Gage, T. B. (1985). Demographic estimation from anthropological data: New methods. Current Anthropology, 26(5), 644–647. https://doi.org/10.1086/203353
Gage, T. B. (1988). Mathematical hazard models of mortality: an alternative to model life tables. American Journal of Physical Anthropology, 76(4), 429–441. https://doi.org/10.1002/ajpa.1330760403
Gage, Timothy B. (1989). Bio-mathematical approaches to the study of human variation in mortality. American Journal of Physical Anthropology, 32(S10), 185–214. https://doi.org/10.1002/ajpa.1330320509
Gallien, V. (1992). Deux populations du haut Moyen Aˆge a` Saint-Denis. Histoire, arche´ologie et anthropologie, Ph.D. thesis, Universite´ de Paris-Sorbonne Paris IV.
Gruspier, K. L., & Mullen, G. J. (1991). Maxillary suture obliteration: A test of the Mann method. Journal of Forensic Sciences, 36(2), 512–519. https://doi.org/10.1520/jfs13052j
Harpending, H. (1994). Infertility and forager demography. American Journal of Physical Anthropology, 93(3), 385–390. https://doi.org/10.1002/ajpa.1330930310
Hassan, A. (1981). Demographic Archaeology, New York: Academic Press.
Hassan, F. A., & Sengel, R. A. (1973). On mechanisms of population growth during the neolithic. Current Anthropology, 14(5), 535–542. https://doi.org/10.1086/201380
Hewlett, B. S. (1991). Demography and childcare in preindustrial societies. Journal of Anthropological Research, 47(1), 1–37. https://doi.org/10.1086/jar.47.1.3630579
Hill, K., & Hurtado, M. (1995). Ache Life History. The Ecology and Demography of a Foraging People, New York: Aldine de Gruyter.
Hoppa, D., & Vaupel, W. (2002). Paleodemography: Age distributions from skeletal samples, Cambridge: Cambridge University Press.
Hoppa, R., & Saunders, S. (1998). The MAD legacy: How meaningful is mean age-at-death in skeletal samples. Human Evolution, 13(1), 1–14. https://doi.org/10.1007/bf02439363
Howell, N. (1976). Toward a uniformitarian theory of human paleodemography, in Ward, H., Weiss, M. (eds.), The demographic evolution of human populations, New York: Academic Press.
Howell, N. (1979). Demography of the Dobe! Kung, New York: Academic Press.
Howell, N. (1986). Demographic anthropology. Annual Review of Anthropology, 15(1), 219–246. https://doi.org/10.1146/annurev.an.15.100186.001251
Jackes, M. K. (1985). Pubic symphysis age distributions. American Journal of Physical Anthropology, 68(2), 281–299. https://doi.org/10.1002/ajpa.1330680215
Johansson, S. R., & Horowitz, S. (1986). Estimating mortality in skeletal populations: Influence of the growth rate on the interpretation of levels and trends during the transition to agriculture. American Journal of Physical Anthropology, 71(2), 233–250. https://doi.org/10.1002/ajpa.1330710211
Keeley, H. (1996). War before civilization, Oxford: Oxford University Press
Konigsberg, L. W., & Frankenberg, S. R. (1992). Estimation of age structure in anthropological demography. American Journal of Physical Anthropology, 89(2), 235–256. https://doi.org/10.1002/ajpa.1330890208
Konigsberg, L. W., & Frankenberg, S. R. (1994). Paleodemography: “Not quite dead.” Evolutionary Anthropology, 3(3), 92–105. https://doi.org/10.1002/evan.1360030306
Konigsberg, L. W., Buikstra, J. E., & Bullington, J. (1989). Paleodemographic correlates of fertility: A reply to Corruccini, Brandon, and handler and to Holland. American Antiquity, 54(3), 626–636. https://doi.org/10.2307/280790
Kramer, K. L., & Boone, J. L. (2002). Why intensive agriculturalists have higher fertility: A household energy budget approach. Current Anthropology, 43(3), 511–517. https://doi.org/10.1086/340239
Kreager, P. (1997). Population and identity, In Kertzer, I., & Fricke, D. (eds.), Anthropological Demography, Chicago: University of Chicago Press.
Larsen, C. S. (2015). Bioarchaeology: Interpreting behavior from the human skeleton. Cambridge University Press. https://doi.org/10.1017/CBO9781139020398
Lee, B. (1972). Population growth and the beginnings of sedentary life among the! Kung Bushmen, in Spooner, S. (ed.), Population Growth: Anthropological Implications, Cambridge, MA: MIT Press.
Lewis, D. (1990). The Persepolis Fortification Tablets, Achaemenid History, IV: 1-6.
Lovejoy, C. O., Meindl, R. S., Pryzbeck, T. R., & Mensforth, R. P. (1985). Chronological metamorphosis of the auricular surface of the ilium: A new method for the determination of adult skeletal age at death. American Journal of Physical Anthropology, 68(1), 15–28. https://doi.org/10.1002/ajpa.1330680103
Lovejoy, O. (1971). Methods for detection of census error in palaeodemography, American Anthropologist, 73(1), 101–109. https://doi.org/10.1525/aa.1971.73.1.02a00080
Maharatna, A. (1996). The Demography of Famines, Delhi: Oxford University Press.
Martin, P. S. (1973). The Discovery of America: The first Americans may have swept the Western Hemisphere and decimated its fauna within 1000 years. Science, 179(4077), 969–974. https://doi.org/10.1126/science.179.4077.969
McCaa, R. (2002). Paleodemography of the Americas from ancient times to colonialism and beyond, In: Steckel, M, Rose, C, (eds), The Backbone of History, (pp. 94–124). Cambridge University Press. http://dx.doi.org/10.1017/CBO9780511549953.005
McKeown, T. (1976). The Modern Rise of Population, New York: Academic Press.
Me-Bar, Y., & Valdez, F., Jr. (2004). Recovery time after a disaster and the ancient Maya. Journal of Archaeological Science, 31(9), 1311–1324. https://doi.org/10.1016/j.jas.2004.02.012
Meindl, R. S., Lovejoy, C. O., Mensforth, R. P., & Walker, R. A. (1985). A revised method of age determination using the os pubis, with a review and tests of accuracy of other current methods of pubic symphyseal aging. American Journal of Physical Anthropology, 68(1), 29–45. https://doi.org/10.1002/ajpa.1330680104
Meredith John, A. (1988). Plantation slave mortality in Trinidad. Population Studies, 42(2), 161–182. https://doi.org/10.1080/0032472031000143306
Milner, G. R., Humpf, D. A., & Harpending, H. C. (1989). Pattern matching of age‐at‐death distributions in paleodemographic analysis. American Journal of Physical Anthropology, 80(1), 49–58. https://doi.org/10.1002/ajpa.1330800107
Milner, R., Wood, W., Boldsen, L. (2008). Advances in paleodemography, in Katzenberg, A., & Saunders, S., (eds), Biological Anthropology of the Human Skeleton, Hoboken: John Wiley & Sons. https://doi.org/10.1002/9780470245842
Molleson, T., Cox, M., Waldron, A., & Whittaker, K. (1993). The Spitalfields report, vol. 2, The Anthropology: The middling sort. York: CBA Research Report No. 86., Council for British Archaeology.
Moore, J. A., Swedlund, A. C., & Armelagos, G. J. (1975). The use of life tables in paleodemography. Memoirs of the Society for American Archaeology, 30, 57–70. https://doi.org/10.1017/s0081130000003798
Moore, P. S., Marfin, A. A., Quenemoen, L. E., Gessner, B. D., Miller, D. S., Toole, M. J., Ayub, Y. S., & Sullivan, K. M. (1993). Mortality rates in displaced and resident populations of central Somalia during 1992 famine. Lancet, 341(8850), 935–938. https://doi.org/10.1016/0140-6736(93)91223-9
Otterbein, K. F. (2000). Killing of captured enemies: A cross‐cultural study. Current Anthropology, 41(3), 439–443. https://doi.org/10.1086/300150
Paine, R. R. (1989a). Model life table fitting by maximum likelihood estimation: A procedure to reconstruct paleodemographic characteristics from skeletal age distributions. American Journal of Physical Anthropology, 79(1), 51–61. https://doi.org/10.1002/ajpa.1330790106
Paine, R. R. (1989b). Model life tables as a measure of bias in the Grasshopper Pueblo skeletal series. American Antiquity, 54(4), 820–824. https://doi.org/10.2307/280686
Pennington, R., & Harpending, H. (1988). Fitness and fertility among kalahari !Kung. American Journal of Physical Anthropology, 77(3), 303–319. https://doi.org/10.1002/ajpa.1330770304
Pianka, R. (1978), Evolutionary Ecology, New York: Harper and Row.
Post, J. B. (1971). Ages at menarche and menopause: Some mediaeval authorities. Population Studies, 25(1), 83–87. https://doi.org/10.1080/00324728.1971.10405785
Pressat, R., Wilson, C. (1985). The Dictionary of Demography, Oxford: Blackwell.
Renfrew, C. (1973). Before Civilization, London: Cape.
Roberts, C., Cox, M. (2003). Health and Disease in Britain from Prehistory to the Present Day, Stroud: Sutton.
Rogers, T., & Saunders, S. (1995). Accuracy of sex determination using morphological traits of the human pelvis. Journal of Clinical Forensic Medicine, 2(3), 167. https://doi.org/10.1016/1353-1131(95)90091-8
Sattenspiel, L., & Harpending, H. (1983). Stable populations and skeletal age. American Antiquity, 48(3), 489–498. https://doi.org/10.2307/280557
Saunders, R, Herring, A, & Boyce, G. (1995). Can skeletal samples accurately represent the living populations they come from? In AL Grauer (ed.): The not too distant past: reconstructing the past through skeletal analysis, New York: Wiley-Liss.
Scott, S., Duncan, J. (1998). Human Demography and Disease, Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511600487
Scrimshaw, M. (1984). Infanticide in human populations, in Haufstater, G., Hardy, B. (eds.), Infanticide: Comparative and Evolutionary Perspectives, New York: Aldine.
Scrimshaw, N. S. (1987). The phenomenon of famine. Annual Review of Nutrition, 7(1), 1–22. https://doi.org/10.1146/annurev.nu.07.070187.000245
Se´guy, I., Buchet, L. (2013). Handbook of Palaeodemography, Switzerland: Springer International Publishing, https://doi.org/10.1007/978-3-319-01553-8
Seaman, J., Leivesley, S., & Hogg, C. (1984). Epidemiology of Natural Disasters, Basel: Karger
Sellen, D. W., & Mace, R. (1997). Fertility and mode of subsistence: A phylogenetic analysis. Current Anthropology, 38(5), 878–889. https://doi.org/10.1086/204677
Shennan, S. (2001). Demography and cultural innovation: A model and its implications for the emergence of modern human culture. Cambridge Archaeological Journal, 11(1), 5–16. https://doi.org/10.1017/s0959774301000014
Sheridan, B. (1985). Doctors and Slaves: A medical and demographic history of slavery in the British West Indies, 1680-1834, Cambridge: Cambridge University Press.         https://doi.org/10.1017/CBO9780511759864
Sieff, D. F., Betzig, L., Cronk, L., Fix, A. G., Flinn, M., Sattenspiel, L., …, & Siegelkow, E. (1990). Explaining biased sex ratios in human populations: A critique of recent studies [and comments and reply]. Current Anthropology, 31(1), 25–48. https://doi.org/10.1086/203801
Simmons, H. (2007). The Neolithic Revolution in the Near East, Tucson: University of Arizona Press.
Simon, C. (1981). Nécropole de Sézegnin (Avusy, Genève); Nécropole de Thoiry (Ain, France): étude anthropologique et paléodémographique. Université de Genève. https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:104426
Siven, C. H. (1991). On estimating mortalities from osteological age data. International Journal of Anthropology, 6(2), 97–109. https://doi.org/10.1007/bf02443944
Storey, G. R. (1997). The population of ancient Rome. Antiquity, 71(274), 966–978. https://doi.org/10.1017/s0003598x00085859
Sussman, R. W., & Hall, R. L. (1972). Addendum: Child transport, family size, and increase in human population during the Neolithic. Current Anthropology, 13(2), 258–267. https://doi.org/10.1086/201274
Theureau, C. (1998). La population arche´ologique de Tours, E´tude anthropologiques, Revue arche´ologique du Centre de la France, suppl. 14.             https://www.persee.fr/doc/sracf_0769-8755_1998_mon_14_7
Thornton, R. (1997). Aboriginal North American Population and Rates of Decline, ca. a.d. 1500‐19001. Current Anthropology, 38(2), 310–315. https://doi.org/10.1086/204615
Tilly, C. (1978). Migration in modern European history, in McNeill, H., & Adams, S. (eds.), Human Migration: Patterns and Policies, Bloomington: Indiana University Press
Tre´ment, F. (1999). Prospection arche´ologique et demographie en Provence, in Bintliff, K., Sbonias, J. (eds.), Reconstructing past population trends in Mediterranean Europe: The archaeology of the Mediterranean landscape, Oxford: Oxbow Books
Ubelaker, H. (1989). Human skeletal remains: excavation, analysis and interpretation, Washington: Smithsonian Institution.
Verano, W., Ubelaker, H. (eds.) (1992). Disease and Demography in the Americas, Washington: Smithsonian Institution Press.
Walker, P. L., Johnson, J. R., & Lambert, P. M. (1988). Age and sex biases in the preservation of human skeletal remains. American Journal of Physical Anthropology, 76(2), 183–188. https://doi.org/10.1002/ajpa.1330760206
Watkins, S. C., & Menken, J. (1985). Famines in Historical Perspective. Population and Development Review, 11(4), 647. https://doi.org/10.2307/1973458
Weiss, K. M. (1975). Demographic disturbance and the use of life tables in anthropology. Memoirs of the Society for American Archaeology, 30, 46–56. https://doi.org/10.1017/s0081130000003786
Weiss, M. (1973). Demographic models for anthropology, American Antiquity, Memoiris of the Society for American Archaeology, 27, Cambridge University Press.
Whyte, D. (2000). Migration and Society in Britain 1550–1830, London: Macmillan.
Wiesehofer, J. (2009). The Achaemenid Empire, In: Morris, I. and Scheidel, W. (eds.), The Dynamics of Ancient Empire, Oxford.
Wood, J. W., Milner, G. R., Harpending, H. C., Weiss, K. M., Cohen, M. N., Eisenberg, L. E. ..., & Wilkinson, R. G. (1992). The osteological paradox: Problems of inferring prehistoric health from skeletal samples [and comments and reply]. Current Anthropology, 33(4), 343–370. https://doi.org/10.1086/204084
Wood, W. (1994). Dynamics of Human Reproduction, Biology, Biometry, Demography, New York: Aldine de Gruyter.
Zubrow, E. (1989). The demographic modelling of Neanderthal extinction, In Mellars, P., Stringer, C. (eds.), The Human Revolution: Behavioral and Biological Perspectives on the Origin of Modern Humans, Edinburgh: Edinburgh University Press.

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