Skip to main content
Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2014 Jun 30;111(28):10101–10106. doi: 10.1073/pnas.1404367111

Long and spatially variable Neolithic Demographic Transition in the North American Southwest

Timothy A Kohler a,b,c,1, Kelsey M Reese a
PMCID: PMC4104847  PMID: 24982134

Significance

Population size greatly affects the human condition but is difficult for archaeologists to estimate. For the Neolithic North American Southwest, we use indirect methods to estimate birth rate and life expectancy, two major factors determining population size. The population boom usually accompanying the introduction of cultivated plants and animals, the “Neolithic Demographic Transition,” was slow to emerge here and was marked by considerable subregional variability in birth rate. This variability is likely related to differing morbidities and availability of agricultural lands in various subregions. In common with many Neolithic peoples, pre-Hispanic Puebloans experienced very high birth rates, especially between A.D. 500 and 1300 when they possibly exceeded the highest in the world today, and quite low life expectancy at birth.

Keywords: archaeology, paleodemography, maize, crude birth rate

Abstract

In many places of the world, a Neolithic Demographic Transition (NDT) is visible as a several-hundred-year period of increased birth rates coupled with stable mortality rates, resulting in dramatic population growth that is eventually curtailed by increased mortality. Similar processes can be reconstructed in particular detail for the North American Southwest, revealing an anomalously long and spatially variable NDT. Irrigation-dependent societies experienced relatively low birth rates but were quick to achieve a high degree of sociopolitical complexity, whereas societies dependent on dry or rainfed farming experienced higher birth rates but less initial sociopolitical complexity. Low birth rates after A.D. 1200 mark the beginning of the decline of the Hohokam. Overall in the Southwest, birth rates increased slowly from 1100 B.C. to A.D. 500, and remained at high levels with some fluctuation until decreasing rapidly beginning A.D. 1300. Life expectancy at 15 increased slowly from 900 B.C. to A.D. 700, and then increased rapidly for 200 y before fluctuating and then declining after A.D. 1400. Life expectancy at birth, on the other hand, generally declined from 1100 B.C. to A.D. 1100/1200, before rebounding. Farmers took two millennia (∼1100 B.C. to ∼A.D. 1000) to reach the carrying capacity of the agricultural niche in the Southwest.


Reconstructing regional human population size and growth rates through time is a central archaeological task. Population size is affected by ecosystem productivity and technology and affects type and degree of anthropogenic impact on the environment. Regional population size limits the maximum sizes that social groups within the region can attain (1). Social group size in turn influences the capacity of groups to innovate and maintain innovations (2, 3), and changes the conditions of the contest within societies between defection and its suppression, affecting efficiency in production of public goods and therefore social organization (47).

Archaeologists traditionally reconstruct population sizes and growth rates through time as some function of habitation site size and date. Producing credible reconstructions using such techniques requires a finely resolved chronology and a well-known archaeological record, and as a result we have detailed reconstructions for only a few locales within the Southwest (e.g., refs. 810), and estimates available for the entire Southwest are either somewhat out of date (11) or restricted to larger sites relatively late in the sequence (12). Here, we demonstrate the utility of bioarchaeological data for generating subregional estimates of birth rates for intraregional comparisons, and regional estimates of birth rates and life expectancies. Together, these allow demographic overviews at spatial and temporal scales where detailed architectural-based estimates of population are not yet possible.

Population size at time t + 1 is a function of natality, mortality, immigration, and emigration acting on the population at time t. Previous research has shown that societies typically experience several hundred years of rapid population growth on developing or acquiring domesticated plants and animals, followed by a marked decline in growth (13, 14). According to Bocquet-Appel, this is caused by an increase in natality with only a lagged increase in mortality. Collectively, this phenomenon is called the Neolithic (or Agricultural) Demographic Transition (NDT) (15).

In a sample of preindustrial populations under the stable population model, a simple paleodemographic indicator—the number of individuals 5–19 y old, divided by all individuals 5 y or more in age—has a strong positive correlation with the crude birth rate (CBR) (r2 = 0.96) and the intrinsic growth rate r (r2 = 0.875) (13, 16). This indicator is called the juvenility index or 15P5.

Maize cultivation is documented for the North American Southwest (Fig. 1) by ∼2100 cal. B.C. (all dates are either calibrated calendrical years from 14C or calendar years derived from tree rings), with first known appearances in the United States in southern Arizona and west central New Mexico (17, 18). Despite legitimate expectations to the contrary (19)—and in contrast to the situation in Europe and the Near East—high values for the juvenility index in the Southwest greatly lagged the first appearance of cultigens, according to an earlier study calculated on 4,396 sets of human remains from 51 archaeological sites and composite samples (20).

Fig. 1.

Fig. 1.

Sites with assemblages contributing to 15P5 or life expectancy estimates. Symbol size is proportional to number of individuals 5 y or older in each assemblage; symbol color indicates region. Background elevations in m.

Values for the juvenility index in that study peaked between ∼A.D. 700 and 1200. This is some 3,000 y after the first appearance of maize but is more closely coincident with cultivation of the common bean, ubiquitous after A.D. 500 following its introduction to the Southwest between 1200 and 700 B.C. (21); common use of the bow and arrow by A.D. 500 (22); the common appearance of efficient ceramic containers throughout the Southwest by A.D. 600; the development or arrival of new and likely more productive races of maize [Maís Blando and Harinosa de Ocho (Maís de Ocho)] ∼A.D. 600 (23); the appearance between A.D. 600 and 800 on the Colorado Plateau of villages consisting of many households together in a single site, often accompanied by public structures such as great kivas or large courtyards (24, 25); and the pithouse-to-pueblo transition between about A.D. 700 and 800, which allowed for, and signals, greatly increased storage of maize (26).

That pilot study (20) revealed considerable contemporaneous variability in the juvenility index, some of which seemed to be related to subregion. Here, we present juvenility indices from 194 sites and composite samples consisting of 10,199 sets of human remains, including those tallied in ref. 20. This larger sample allows us to partition 15P5 values by subregion, revealing unsuspected spatial and temporal variability that affects our understanding of the causes of variability in CBR, and therefore the sources of culture change in the pre-Hispanic US Southwest. In addition, we make a preliminary calculation of regional life expectancies that reveals unsuspected temporal variability.

Results and Discussion

For the sample of human remains in Tables S1 and S2, we apply a nonparametric method for estimating local regression surfaces to fit the relationship between 15P5 and calendar years for assemblages from 10 subregions (Fig. 1) (SI Text, Sources of Data and Coding Conventions). This method allows us to identify temporal trends in admittedly noisy data. Results are shown in Fig. 2 (SI Text, Statistical and Graphic Conventions).

Fig. 2.

Fig. 2.

Juvenility indices by region (loess fit with 90% CI). Regions are arranged from south (Lower) to north and west (Left) to east. Horizontal reference line at 0.18 represents Bocquet-Appel’s estimate of the expected value of 15P5 in a stationary population (SI Text, Statistical and Graphic Conventions). Vertical reference lines at A.D. 1 and 1280. Total n assemblages = 168.

Subregional Analysis, Southern Southwest.

The earliest assemblages large enough to include in this analysis are from the Sonoran Desert. Although maize was introduced to this area from the south by ∼2100 B.C. (18, 21, 27), birth rates as proxied by 15P5 remained below what Bocquet-Appel considered zero growth (15P5 = 0.18; but see SI Text, Statistical and Graphic Conventions) until ∼A.D. 1 (Fig. 2). (Contemporaneous 15P5 values for the Kayenta area are similar but do not begin as early.) Although some researchers have argued for relatively sedentary occupations in the Sonoran Desert during the Early Agricultural period (2000 B.C. to A.D. 50) coupled with an intensive agricultural system producing most of the food (19, 28, 29), the low juvenility indices reported here favor suggestions that these occupations tended to be short-lived (30, 31) or part of a seasonal round (27), and perhaps most important, because this also affects mobility, focused on varieties of maize that were not yet very productive (32).

Values for 15P5 plateaued in the Sonoran area between about A.D. 500 and 1000, during the late Formative and early pre-Classic (or the late Pioneer and early Colonial) periods in the Hohokam sequence. An extensive canal system allowing production of at least two maize crops per year was in place by the middle of this period (33), and not coincidentally Hohokam settlements spread far north of their core riverine zone in the Sonoran desert into the Flagstaff area, and into uplands south and west of Tucson and Phoenix during this same interval (33). A large-scale system of exchange, perhaps linked to ball court events, apparently developed into a market system from about A.D. 1000 to 1100 (34). Around that time, however, 15P5 values began to decrease as populations reconcentrated in river valleys, especially in the Phoenix Basin, forming large platform mound communities. The very low 15P5 values from about A.D. 1200 until the end of this sequence complement declines in population visible in architectural data (12) and suggest a proximate cause for the “core decay” (35) long noted for this area and for the eventual disappearance of the Hohokam.

The Tonto Basin and Verde Valley areas, aggregated here, are marked by anomalously low 15P5 values throughout their entire sequence (Fig. 2). Heavy reliance on a canal system in the Tonto Basin (as in the Sonoran Desert just to the south) may be partly responsible for these low 15P5 values. Fink (36) has suggested that waterborne transmission of pathogens, including a variety of bacteria, viruses, protozoa, helminths, and fungi, may have elevated morbidity and mortality, particularly among infants and children. If this resulted in differentially depressing the size of 0- to 5-y-old cohorts, it would then have depressed the size of the 5- to 19-y-old cohort, ultimately reducing both the computed 15P5 values and, of course, long-term population growth.

Cremation appears to have been more common in the Sonoran Desert and Tonto Basin/Verde Valley areas than elsewhere in the Southwest, although high proportions of cremations appear elsewhere occasionally [e.g., at Gran Quivira in the middle Rio Grande, where cremations account for 27% of all burials (37)]. Theoretically, this body treatment could affect 15P5 values if cremations were more common for some age categories than for others, and if cremated bodies were unable to be aged more frequently than uncremated bodies. Although there is evidence for the second proposition, there is no evidence that cremation is significantly associated with age (38) (SI Text, Cremation Analysis).

The Mogollon subregion is large and contains both upland and lowland settings (Fig. 1), undoubtedly influencing its variability in 15P5 values through time (Fig. 2). Juvenility indices peak somewhat later here than in most other subregions, boosted by large assemblages with high 15P5 values (Paquimé in Chihuahua and Grasshopper Pueblo in the Mountain Mogollon area of Arizona) dating to the early A.D. 1300s. Several contemporaneous sites in the Mountain Mogollon area, including Grasshopper, apparently received influxes of women and children from the north in the late A.D. 1200s or early 1300s, possibly as refugees (39, 40). Such an influx could inflate 15P5 values both immediately, because of the children, and over time if female immigrants were predominately of child-bearing age.

The middle Rio Grande subregion has few assemblages predating ∼A.D. 1200 and was apparently lightly occupied before that time. Birth rates declined slowly and almost linearly from the A.D. 1200s through the 1500s, with the latest assemblage from Pueblo de las Humanas (Gran Quivira) late enough to have been influenced by Spanish introduction of diseases (Table S1) (37).

Subregional Analysis, Northern Southwest.

Except for the northern Rio Grande (Fig. 1), the remaining six areas in Fig. 2 are completely or mostly on the Colorado Plateau, a physiographic province that in late pre-Hispanic times was associated with Pueblo societies and the Fremont of Utah. These societies relied on rainfed farming or on dry farming (21), with various water-harvesting techniques and small-scale irrigation important in the northern Rio Grande after ∼A.D. 1300.

In general, these six northern sequences are marked by higher 15P5 values than are the four southern areas, although the Kayenta and Fremont/Virgin regions are intermediate in this respect, presumably because their generally lower elevation and greater aridity relative to the San Juan Basin and the Northern San Juan limited maize production (Fig. 2 and Fig. S1). The exception to lower 15P5 values in the western portions of the Southwest (the left-hand columns in Fig. 2) is the Sinagua area near Flagstaff, Arizona. All but the earliest site in this series postdate the eruption of nearby Sunset Crater, traditionally dated to A.D. 1065 but now believed to be closer to 1090 (41). It has long been proposed that this eruption created propitious agricultural conditions (42), and this is supported by the Sinagua’s high posteruption 15P5 values (Fig. 2).

The high 15P5 values early in the Northern San Juan sequence are especially remarkable and unlike anything seen contemporaneously in the southern Southwest. The San Juan Basin sequence also appears to start with high values, but this is based on only one small assemblage. From ∼A.D. 700 to 1100, however, the San Juan Basin rates are among the highest in the Southwest. Although 15P5 values were declining slightly in the San Juan Basin after ∼A.D. 1200, they remained relatively high there and in the northern San Juan. Whatever the causes of the depopulation of the northern Southwest during the A.D. 1200s, they seem not to have greatly affected 15P5 values in these two growth centers.

Possible Explanations for the Plateau/Desert Valley Contrast.

The contrast between the generally higher 15P5 values for dry/rainfed farming areas in the north and the lower values for the Sonoran Desert and Tonto Basin that were more dependent on irrigation is surprising and previously unrecognized. From the intensity of Hohokam agricultural systems and their early sociopolitical complexity (25, 43), one might predict rapid population growth and therefore high 15P5 values. However, in fact, households in the irrigation-dependent south were apparently having fewer offspring than the dry farmers to the north and east. (That these societies might have been exporting their offspring to other subregions seems implausible, although it could be explored with stable isotope analyses.) In addition to the possibility that increased pathogen loads in irrigation systems depressed 15P5 values, we suggest that the differing distributions of potential agricultural land in the two areas contributed to this pattern.

In many portions of the Colorado Plateau, extensive tracts of productive lands became available when precipitation and temperature patterns were favorable, making it possible for families to export numerous offspring to other favorable areas. However, irrigation systems can expand only with great difficulty. In many cases, topography or vested interests make it impractical to expand or reorient irrigation networks. Theory explaining why sociopolitical complexity should develop first in circumscribed areas such as the Phoenix Basin has long been available (44), and in light of these results may be applicable to the north/south contrast in rate of political evolution in the Southwest. A possible consequence of greater social hierarchization is that opportunities for reproduction may have monopolized by fewer, richer households in irrigation-dominant societies but shared more equally in the north, with the net result at the population level being higher juvenility indices in the north, and lower indices in the south.

This expectation—consistent with reproductive skew theory (45)—could be tested by comparing burial assemblages from Classic period platform mounds advantageously located on the canal system against more peripheral contemporaneous assemblages—a task not attempted here. Regardless of such possible variability within subregions, the distribution of 15P5 values across the Southwest (Fig. 2) suggests that pioneer southwestern archaeologist A. V. Kidder (46) was quite literally correct when he identified the San Juan (in which he included the Northern San Juan, San Juan, and Kayenta areas) as “the breeding ground for many of the basic traits of Southwestern culture and center of dissemination.”

Combined Southwest: Crude Birth Rates and Life Expectancies.

The 15P5 values for all 10 subregions are combined and converted to CBR in Fig. 3 (SI Text, Crude Birth Rates). This reveals an almost linear trend from around 0.02 at ∼1100 B.C. to a peak ∼A.D. 500 at rates exceeding 0.05. Birth rates then leveled off, with some variability including a slight dip in the mid-A.D. 1100s, until about A.D. 1300. After that, CBR declined rapidly across the Southwest, to levels not experienced for the previous 1500 y. Overall, the birth rates for these populations appear to be very high. The mean value of the fitted CBR for all assemblages in this sequence is 0.049 (s = 0.006), above the highest value reported in the world today (Niger, 0.047; Fig. 3) (47).

Fig. 3.

Fig. 3.

Crude birth rate (green, n assemblages = 133) through time, entire Southwest (loess fit with 90% CI). Symbol size is proportional to number of individuals 5 y or older in each assemblage. Horizontal reference lines mark current estimated CBR for the world and for the nation with the highest current CBR, Niger. Vertical reference lines at A.D. 1 and 1280.

For 36–40 assemblages that are relatively large (minimum, 24 individuals; mean, 98) and for which life tables are available or can be constructed, Fig. 4 reports life expectancies at age 15 (e15 + 15), and two measures for life expectancy at birth (e0) (SI Text, Life Expectancy Calculations).

Fig. 4.

Fig. 4.

Life expectancy at 15 from life tables (red, n assemblages = 36) through time, entire Southwest (loess fit with 90% CI); life expectancy at birth from life tables (dashed blue line, n assemblages = 40) through time, entire Southwest (loess fit with 90% CI); life expectancy at birth from juvenility indices (solid blue line, n assemblages = 120) through time, entire Southwest (loess fit, no CI). Symbol size is proportional to the number of individuals 5 y or older in each assemblage; red symbols represent assemblages used to estimate e15LT; blue symbols, e0LT. Vertical reference lines at A.D. 1 and 1280.

Total life expectancies at 15 increased very slowly from around 35 y at ∼900 B.C. to about 37 y at ∼A.D. 600, and then more rapidly to almost 40 y ∼A.D. 1000, after which they declined markedly, bottoming out near 35 y ∼A.D. 1150 (Fig. 3). Values increased again until ∼A.D. 1400, and then decreased. The mean fitted value for e15 values is 37.2 y (s = 1.1).

We acknowledge a number of potential problems with the e15 estimate and the e0 estimate based on life tables (e0LT), including both underenumeration of infants and children, and underestimation of older-adult ages (48). Given the nature of the data, trends through time are more credible than are the absolute estimates. Comparisons with modern populations for which life tables are not reconstructed from death assemblages are especially problematic, and in fact the e15 values we estimate are much lower than some modern hunter-gatherer groups with e15 values between about 51 and 58 y (thus, average total life spans of six or seven decades for those surviving to 15) (49). More to the point are comparisons (below) with other ancient populations, because the biases introduced by the archaeological record and the problems inherent in building life tables from osteological samples are shared.

The two estimates of life expectancy at birth (Fig. 4) both suggest declines from ∼1100 B.C. until A.D. 500/600, followed by an increase till A.D. 700/1000, a sharp decline bottoming out A.D. 1100/1200, with post-A.D. 1300 increases. Overall, by either measure the life expectancy at birth of these southwestern populations was quite short (mean fitted value of e0LT = 22.1, s = 2.1; mean fitted value of e0BA = 22.8, s = 3.1).

Summary and Conclusions

Using proxies derived from excavated assemblages of human remains we have estimated juvenility indices (convertible to birth rates) for 10 subregions, and birth rates for the entire North American Southwest, for ∼2,500 y beginning ∼1000 B.C. We also used two techniques to provide preliminary estimates of life expectancies through time at birth and at age 15 for the Southwest as a whole (SI Text, Life Expectancy Calculations).

Table S3 assembles some comparative data for the three life expectancies estimated here. Estimates for life expectancy at birth in this southwestern series are somewhat below the mean of the other series in this table, whereas the mean fitted value for e15 in the Southwest is well above the average for the other series. We can tentatively conclude that in the Southwest chances of dying before age 15 were somewhat higher than was typical in the post-Pleistocene, premodern world, but those surviving to age 15 could expect somewhat longer lives than in many contemporaneous societies. The widening gap between our two measures of e0 and e15 from ∼1000 B.C. to A.D. 400/500 seems to suggest an increasing proportion of mortality in prereproductive ages over this period as sedentism and reliance on maize also generally increased.

The NDT in the Southwest was less a revolution than a slowly accelerating demographic process in which birth rates increased steadily for some 1,600 y beginning no later than ∼1100 B.C. Birth rates leveled off (with some fluctuation) at high values ∼A.D. 500 and eventually declined rapidly beginning A.D. 1300. This is a long time for such high rates to be maintained (50); the mean duration of the “boom” phase of the NDT in 11 subregions of Europe is 600 y (51). This long expansion may have been possible because climates permitted Fremont farmers to intensively use large portions of the Great Basin between ∼A.D. 700 and 1200 (although colonization began earlier) (52), and farmers were also able to expand into large portions of the middle and northern Rio Grande after A.D. 900 (53). Nevertheless, the decline in e15 after A.D. 1000 may have been due to density-dependent compensation. By A.D. 1000, life expectancy at 15 had been increasing (slowly at first, and then more rapidly) for some 1,900 y.

Although we do not attempt to translate these indices into population sizes or growth rates, a plausible interpretation is that populations increased in size in the Southwest for ∼2,200 y, from no later than 1100 B.C. to ∼A.D. 1100, stabilizing or declining after that time. A Southwest-wide population decline beginning ∼A.D. 1100 has been suggested (11); others have reconstructed declines in the northern Southwest after A.D. 1250 and in the southern Southwest after A.D. 1350 (12). The rates reconstructed here suggest that population increases were probably most rapid between ∼A.D. 500 and 1000, the period in which values for both birth rate and e15 were at or near their peaks. We suggest that the close of this interval, also marked by the increasing appearance of durable masonry architecture in many subregions, signals the effective end of territorial expansion as a way of accommodating more offspring, although in some subregions population increases could still be supported via increases in sociopolitical complexity.

The CBR and all three estimates of life expectancy record a pronounced dip some time between the late 1000s and late 1100s. Given the extreme dependence on maize in nearly all of the Southwest after ∼300 B.C. (54, 55), these declines may have been partly in response to the megadrought centered on A.D. 1150 affecting large portions of the West (56). It is possible that other variability in CBR between about A.D. 900 and 1300 reflects other droughts centered on A.D. 936, 1034, and 1253 (56). In northern and upland portions of the Southwest, the progressive cooling of the northern hemisphere in the Little Ice Age (57) may also have decreased maize production after A.D. 1200 (58, 59). Although there is considerable variability in birth rates through time in specific subregions (Fig. 2), the smooth increases in CBR for the first 2000 years of this record suggest that local climatic downturns could be buffered by interregional movements until toward the end of the first millennium A.D. This in turn suggests that southwestern maize farmers took over 2,000 y to fill up their agricultural niche and become regionally susceptible to climatic variability.

Bocquet-Appel (60) suggested that initial population increases in the NDT were driven solely by increases in natality, with lagged increases in mortality eventually returning farming populations to a stable state. In the Southwest, by contrast, increasing life expectancy during reproductive years probably had a positive although minor role in initial NDT population growth, and decreased CBR contributed importantly to eventual population stabilization (or possibly decline). None of this calls into question Bocquet-Appel’s conclusions concerning the centrality of the relationship between increased sedentism and increased natality—conditions that slowly coevolved in the Southwest, not resulting in relatively stable sedentism in most subregions until ∼A.D. 600.

The slow demographic processes reconstructed here hardly seem like a Childean “Neolithic Revolution” (61). We argue although that populations crossed a critical threshold in the middle of the first millennium A.D. when “more” became “different” (62). At that point, for the first time in 1,600 y, birth rates plateaued, at high levels, and even declined slightly as opportunities for colonization began to decrease. For most groups, increasing birth rates was no longer a viable strategy. Instead, groups began to exploit smaller territories more intensively, as seems to have happened in the Natufian Near East (63). Community sizes began to increase (64), plausibly in response to intergroup competition as having more members improved chances for acquiring or retaining superior territories. Larger social groups favored novel sociopolitical arrangements and investments in architectural features such as ball courts in the south and great kivas elsewhere that could coordinate large numbers of participants. Across much of the northern Southwest, this macroevolutionary transition (65) is recognized as the beginning of the Basketmaker III period. More generally, this A.D. 500–700 period marked increased internal codification and external differentiation of the Ancestral Pueblo, Mogollon, and Hohokam traditions.

Materials and Methods

Data on human remains were acquired from a number of primary and secondary sources (SI Text, Sources of Data) and coded following practices developed in previous NDT research (SI Text, Coding Conventions, and ref. 20). Figs. 2 and 3 use loess smoothing of demographic proxies against the absolute date of the assemblages from which they were developed (SI Text, Statistical and Graphic Conventions). We examined, and rejected, the possibility that cremations might be significantly affecting 15P5 values (SI Text, Cremation Analysis). Values for 15P5 were converted to CBR following ref. 13 (SI Text, Crude Birth Rates). Life expectancies at birth and at 15 were drawn from the literature or computed from life tables generated from the literature as explained in SI Text, Life Expectancy Calculations, where we also describe an alternative estimate for e0 (e0BA) derived from ref. 13.

Supplementary Material

Supporting Information

Acknowledgments

We thank the following for advice on the analysis, access to unpublished data, or discussion of earlier versions of results: E. Charles Adams, Nancy Akins, Jim Allison, Kay Barnett, James Bayman, Jean-Pierre Bocquet-Appel, Lori Brocesky, Mona Charles, Allison Colborne, Joan Coltrain, Linda Cordell, Mark Elson, Severin Fowles, Patricia Gilman, David Greenwald, Ed Huber, Winston Hurst, Thomas Ireland, Joel Janetski, Bruce Huckell, Deborah Huntley, Brett Hill, Brian Kemp, Keith Kintigh, Steven Leblanc, Charlotte Lee, Bill Lipe, Margaret Lyneis, John McClelland, Randall McGuire, Debra Martin, R. G. Matson, Nell Murphy, Stephan Naji, Brad Newbold, Scott Ortman, Douglas Potter, Gordon Rakita, Glen Rice, Tim Riffe, Harry Shafer, Meradeth Snow, Ann Stodder, Alan Swedlund, Homer Thiel, David Hurst Thomas, Mason Thompson, Jim Vint, James Watson, Carla Van West, Linda Wheelbarger, Wirt (Chip) Wills, and Richard Wilshusen. We also thank Lorette Noiret for her computation of the inverse regression for life expectancy. This material is based on work supported by the National Science Foundation under Grant DEB-0816400.

Footnotes

The authors declare no conflict of interest.

This article is a PNAS Direct Submission. J.-P.B.-A. is a guest editor invited by the Editorial Board.

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1404367111/-/DCSupplemental.

References

  • 1.Hamilton MJ, Milne BT, Walker RS, Burger O, Brown JH. The complex structure of hunter-gatherer social networks. Proc Biol Sci. 2007;274(1622):2195–2202. doi: 10.1098/rspb.2007.0564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Henrich J. Demography and cultural evolution: How adaptive cultural processes produce maladaptive losses: The Tasmanian case. Am Antiq. 2004;69(2):197–214. [Google Scholar]
  • 3.Powell A, Shennan S, Thomas MG. Late Pleistocene demography and the appearance of modern human behavior. Science. 2009;324(5932):1298–1301. doi: 10.1126/science.1170165. [DOI] [PubMed] [Google Scholar]
  • 4.Dubreuil B. Human Evolution and the Origins of Hierarchies: The State of Nature. Cambridge, UK: Cambridge Univ Press; 2010. [Google Scholar]
  • 5.Carballo DM, Roscoe P, Feinman GM. Cooperation and collective action in the cultural evolution of complex societies. J Archaeol Method Theory. 2012;21(1):98–133. [Google Scholar]
  • 6.Hooper PL, Kaplan HS, Boone JL. A theory of leadership in human cooperative groups. J Theor Biol. 2010;265(4):633–646. doi: 10.1016/j.jtbi.2010.05.034. [DOI] [PubMed] [Google Scholar]
  • 7.Kohler TA, Cockburn D, Hooper PL, Bocinsky RK, Kobti Z. The coevolution of group size and leadership: An agent-based public goods models for prehispanic Pueblo societies. Adv Complex Syst. 2012;15(1-2):1150007. [Google Scholar]
  • 8.Varien MD, Ortman SG, Kohler TA, Glowacki DM, Johnson CD. Historical ecology in the Mesa Verde region: Results from the Village Project. Am Antiq. 2007;72(2):273–299. [Google Scholar]
  • 9.Orcutt JD. Demography, settlement, and agriculture. In: Powers RP, Orcutt JD, editors. The Bandelier Archaeological Survey. Vol I. Santa Fe, NM: National Park Service, Department of the Inerior; 1999. pp. 219–308. [Google Scholar]
  • 10.Matson RG, Lipe WD, Haase WR. Adaptational continuities and occupational discontinuities: The Cedar Mesa Anasazi. J Field Archaeol. 1988;15(3):245–264. [Google Scholar]
  • 11.Dean JS, Doelle WH, Orcutt JD. Adaptive stress, environment, and demography. In: Gumerman GG, editor. Themes in Southwestern Prehistory. Santa Fe, NM: School of American Research Press; 1994. pp. 53–86. [Google Scholar]
  • 12.Hill JB, Clark JJ, Doelle WH, Lyons PD. Prehistoric demography in the Southwest: Migration, coalescence, and Hohokam population decline. Am Antiq. 2004;69(4):689–716. [Google Scholar]
  • 13.Bocquet-Appel J-P. Paleoanthropological traces of a Neolithic Demographic Transition. Curr Anthropol. 2002;43(4):637–650. [Google Scholar]
  • 14.Shennan S. Demographic continuities and discontinuities in Neolithic Europe: Evidence, methods and implications. J Archaeol Method Theory. 2012;20(2):300–311. [Google Scholar]
  • 15.Bocquet-Appel J-P, Bar-Yosef O, editors. 2008. The Neolithic Demographic Transition and Its Consequences (Springer, Dordrecht, The Netherlands) [Google Scholar]
  • 16.Bocquet-Appel J-P, Naji S. Testing the hypothesis of a worldwide Neolithic Demographic Transition: Corroboration from American cemeteries. Curr Anthropol. 2006;47(2):341–365. [Google Scholar]
  • 17.Staller J, Tykot R, Benz B, editors. 2006. Histories of Maize: Multidisciplinary Approaches to the Prehistory, Linguistics, Biogeography, Domestication and Evolution of Maize (Elsevier, Amsterdam) [Google Scholar]
  • 18.Merrill WL, et al. The diffusion of maize to the southwestern United States and its impact. Proc Natl Acad Sci USA. 2009;106(50):21019–21026. doi: 10.1073/pnas.0906075106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Bellwood PS. First Farmers: The Origins of Agricultural Societies. Malden, MA: Blackwell Publishing; 2005. [Google Scholar]
  • 20.Kohler TA, Glaude MP, Bocquet-Appel J-P, Kemp BM. The Neolithic Demographic Transition in the U.S. Southwest. Am Antiq. 2008;73(4):645–669. [Google Scholar]
  • 21.Mabry JB. Diversity in early Southwestern farming and optimization models of transitions to agriculture. In: Diehl MW, editor. Subsistence and Resource Use Strategies of Early Agricultural Communities in Southern Arizona. Vol 34. Tucson, AZ: Center for Desert Archaeology; 2005. pp. 113–152. [Google Scholar]
  • 22.Reed PF, Geib PR. Sedentism, social change, warfare, and the bow in the ancient Pueblo Southwest. Evol Anthropol. 2013;22(3):103–110. doi: 10.1002/evan.21356. [DOI] [PubMed] [Google Scholar]
  • 23.Adams KR. A regional synthesis of Zea mays in the prehistoric American Southwest. In: Johannessen S, Hastorf CA, editors. Corn and Culture in the Prehistoric New World. Boulder, CO: Westview Press; 1994. pp. 273–302. [Google Scholar]
  • 24.Kohler TA, Varien MD. A scale model of seven hundred years of farming settlements in southwestern Colorado. In: Bandy M, Fox J, editors. Becoming Villagers: Comparing Early Village Societies. Tucson, AZ: The Univ of Arizona Press; 2010. pp. 37–61. [Google Scholar]
  • 25.Lekson SH. A History of the Ancient Southwest. Santa Fe, NM: School for Advanced Research Press; 2008. [Google Scholar]
  • 26.Sebastian L. The Chaco Anasazi: Sociopolitical Evolution in the Prehistoric Southwest. Cambridge, UK: Cambridge Univ Press; 1992. [Google Scholar]
  • 27.Roth BJ, Freeman A. The Middle Archaic Period and the transition to agriculture in the Sonoran Desert of southern Arizona. Kiva. 2008;73(3):321–353. [Google Scholar]
  • 28.Conyers LB. Ground-penetrating radar for anthropological research. Antiquity. 2010;84:175–184. [Google Scholar]
  • 29.Huckell BB. Of Maize and Marshes: Preceramic Agricultural Settlements in the Cienega Valley, Southeastern Arizona. Tucson, AZ: The Univ of Arizona Press; 1995. [Google Scholar]
  • 30.Gregory D. In: Architectural Features and their Characteristics. Excavations in the Santa Cruz River Floodplain: The Early Agricultural Period Component at Los Pozos, Anthropological Papers. Gregory D, editor. Vol 21. Tucson, AZ: Center for Desert Archaeology; 2001. pp. 29–69. [Google Scholar]
  • 31.Schurr MR, Gregory DL. Fluoride dating of faunal materials by ion-selective electrode: High resolution relative dating at an early agricultural period site in the Tucson Basin. Am Antiq. 2002;67(2):281–299. [Google Scholar]
  • 32.Diehl MW. Morphological observations on recently recovered early agricultural period maize cob fragments from southern Arizona. Am Antiq. 2005;70(2):361–375. [Google Scholar]
  • 33.Bayman JM. The Hohokam of Southwest North America. J World Prehist. 2001;15(3):257–311. [Google Scholar]
  • 34.Abbott DR, Smith AM, Gallaga E. Ballcourts and ceramics: The case for Hohokam marketplaces in the Arizona desert. Am Antiq. 2007;72(3):461–484. [Google Scholar]
  • 35.Hill JB, Clark JJ, Doelle WH, Lyons PD. Depopulation of the northern Southwest: A macroregional perspective. In: Kohler TA, Varien MD, Wright AM, editors. Leaving Mesa Verde: Peril and Change in the Thirteenth-Century Southwest. Tucson, AZ: Univ of Arizona Press; 2010. pp. 34–52. [Google Scholar]
  • 36.Fink TM. 1991. Prehistoric irrigation canals and their possible impact on Hohokam health. Prehistoric Irrigation in Arizona: Symposium 1988, Soil Systems Publications in Archaeology, ed Breternitz CD (Soil Systems, Phoenix), Vol 17.
  • 37.Hayes AC. Contributions to Gran Quivira Archeology, Gran Quivira National Monument, New Mexico. Washington, DC: National Park Service; 1981. [Google Scholar]
  • 38.McGuire RH. 1992. Death, Society, and Ideology in a Hohokam Community (Westview Press, Boulder, CO)
  • 39.Lowell JC. Women and men in warfare and migration: Implications of gender imbalance in the Grasshopper Region of Arizona. Am Antiq. 2007;72(1):95–123. [Google Scholar]
  • 40.Baustian KM, Harrod RP, Osterholtz AJ, Martin DL. Battered and abused: Analysis of trauma at Grasshopper Pueblo (AD 1275–1400) Int J Paleopathol. 2012;2(2-3):102–111. doi: 10.1016/j.ijpp.2012.09.006. [DOI] [PubMed] [Google Scholar]
  • 41.Ort MH, Elson MD, Anderson KC, Duffield WA, Samples TL. Variable effects of cinder-cone eruptions on prehistoric agrarian human populations in the American Southwest. J Volcanol Geotherm Res. 2008;176(3):363–376. [Google Scholar]
  • 42.Colton HS. Black Sand: Prehistory in Northern Arizona. Albuquerque, NM: Univ of New Mexico Press; 1960. [Google Scholar]
  • 43.Cordell LS, McBrinn ME. Archaeology of the Southwest. 3rd Ed. Walnut Creek, CA: Left Coast Press; 2012. [Google Scholar]
  • 44.Carneiro RL. 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. 1970;169(3947):733–738. doi: 10.1126/science.169.3947.733. [DOI] [PubMed] [Google Scholar]
  • 45.Clutton-Brock TH. Reproductive skew, concessions and limited control. Trends Ecol Evol. 1998;13(7):288–292. doi: 10.1016/s0169-5347(98)01402-5. [DOI] [PubMed] [Google Scholar]
  • 46.Kidder AV. 1924. An Introduction to the Study of Southwestern Archaeology (Yale Univ Press, New Haven, CT)
  • 47.CIA 2014. Field Listing: Birth Rate. Available at https://www.cia.gov/library/publications/the-world-factbook/rankorder/2054rank.html. Accessed June 20, 2014.
  • 48.Buikstra JE, Konigsberg LW, Bullington J. Fertility and the development of agriculture in the prehistoric Midwest. Am Antiq. 1986;51(3):528–546. [Google Scholar]
  • 49.Kaplan H, Hill K, Lancaster J, Hurtado AM. A theory of human life history evolution: Diet, intelligence, and longevity. Evol Anthropol. 2000;9(4):156–185. [Google Scholar]
  • 50.Richerson PJ, Boyd R, Bettinger RL. Was agriculture impossible during the Pleistocene but mandatory during the Holocene? A climate change hypothesis. Am Antiq. 2001;66(3):387–411. [Google Scholar]
  • 51.Shennan S, et al. Regional population collapse followed initial agriculture booms in mid-Holocene Europe. Nat Commun. 2013;4(2486):2486. doi: 10.1038/ncomms3486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Allison JR. The end of farming in the “northern periphery” of the Southwest. In: Kohler TA, Varien MD, Wright AM, editors. Leaving Mesa Verde: Peril and Change in the Thirteenth-Century Southwest. Tucson, AZ: Univ of Arizona Press; 2010. pp. 128–155. [Google Scholar]
  • 53.Post SS. Transitional archaic and emergent agricultural settlement in the lowland–upland settings of the northern Rio Grande, New Mexico. In: Vierra BJ, editor. From Mountaintop to Valley Bottom: Understanding Past Land Use in the Northern Rio Grande Valley, New Mexico. Salt Lake City, UT: Univ of Utah Press; 2013. pp. 81–94. [Google Scholar]
  • 54.Coltrain JB, Janetski JC, Carlyle SW. The stable- and radio-isotope chemistry of western basketmaker burials: Implications for early Puebloan diets and origins. Am Antiq. 2007;72(2):301–321. [Google Scholar]
  • 55.Matson RG, Chisholm B. Basketmaker II subsistence: Carbon isotopes and other dietary indicators from Cedar Mesa, Utah. Am Antiq. 1991;56(3):444–459. [Google Scholar]
  • 56.Cook ER, Woodhouse CA, Eakin CM, Meko DM, Stahle DW. Long-term aridity changes in the western United States. Science. 2004;306(5698):1015–1018. doi: 10.1126/science.1102586. [DOI] [PubMed] [Google Scholar]
  • 57.Moberg A, et al. Highly variable Northern Hemisphere temperatures reconstructed from low- and high-resolution proxy data. Nature. 2005;433(7026):613–617. doi: 10.1038/nature03265. [DOI] [PubMed] [Google Scholar]
  • 58.Petersen KL. A warm and wet little climatic optimum and a cold and dry Little Ice Age in the Southern Rocky Mountains, U.S.A. Clim Change. 1994;26(2-3):243–269. [Google Scholar]
  • 59.Wright AM. The climate of the depopulation of the northern Southwest. In: Kohler TA, Varien MD, Wright AM, editors. Leaving Mesa Verde: Peril and Change in the Thirteenth-Century Southwest. Tucson, AZ: The Univ of Arizona Press; 2010. pp. 75–101. [Google Scholar]
  • 60.Bocquet-Appel J-P. Explaining the Neolithic Demographic Transition. In: Bocquet-Appel J-P, Bar-Yosef O, editors. The Neolithic Demographic Transition and Its Consequences. Dordrecht, The Netherlands: Springer; 2008. pp. 35–55. [Google Scholar]
  • 61.Childe VG. Man Makes Himself. New York: New American Library of World Literature; 1951. [Google Scholar]
  • 62.Anderson PW. More is different. Science. 1972;177(4047):393–396. doi: 10.1126/science.177.4047.393. [DOI] [PubMed] [Google Scholar]
  • 63.Rosenburg M. Cheating at musical chairs: Territoriality and sedentism in an evolutionary context. Curr Anthropol. 1998;39(5):653–681. [Google Scholar]
  • 64.Reese KM. 2014. Over the line: A least-cost analysis of “community” in Mesa Verde National Park. MA thesis (Washington State University, Pullman, WA)
  • 65.Zeder MA. The Neolithic macro-(r)evolution: Macroevolutionary theory and the study of culture change. J Archaeol Res. 2008;17(1):1–63. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supporting Information

Articles from Proceedings of the National Academy of Sciences of the United States of America are provided here courtesy of National Academy of Sciences

RESOURCES