Exploring Adaptive Variation among Hunter-gatherers with Binford’s Frames of Reference
Transcript of Exploring Adaptive Variation among Hunter-gatherers with Binford’s Frames of Reference
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Journal of Archaeological Research ISSN 1059-0161 J Archaeol ResDOI 10.1007/s10814-013-9068-y
Exploring Adaptive Variation amongHunter-gatherers with Binford’s Frames ofReference
Amber L. Johnson
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Exploring Adaptive Variation among Hunter-gathererswith Binford’s Frames of Reference
Amber L. Johnson
� Springer Science+Business Media New York 2013
Abstract The most significant change in hunter-gatherer studies has been the shift
from expecting hunter-gatherers to have similar properties wherever they are found
to recognizing that hunter-gatherer adaptations should vary along many different
dimensions. Although archaeologists approach research with different goals, there is
remarkable convergence in our knowledge about hunter-gatherers past and present.
The ethnographic record of recent hunter-gatherers reveals enormous variation
along several dimensions. The specific combinations of characteristics displayed
among hunter-gatherers are not infinitely variable but cluster as distinctive ‘‘system
states’’ (following Binford, Constructing frames of reference: an analytical method
for archaeological theory building using ethnographic and environmental data sets,
2001) that pattern with both environmental and demographic variables at a global
scale. Frames of reference based on these generalizations have implications for what
archaeologists should expect for hunter-gatherers in different environmental set-
tings, and also for how they should change over time if regional population density
generally increases. Recognizing that patterns of variation at the regional scale are
different from those at the global scale, I propose a hierarchical strategy for
developing expectations for variation among prehistoric hunter-gatherers that can
both situate the research locale with respect to global patterns of variation and
acknowledge important dimensions of variation in habitat structure that are likely to
condition regional variation in hunter-gatherer mobility, subsistence, and social
organization.
Keywords Hunter-gatherer � Variation � Frames of reference � Ethnographic
A. L. Johnson (&)
Department of Society & Environment, Truman State University, 100 E. Normal St.,
BT 2210, Kirksville, MO 63501, USA
e-mail: [email protected]
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DOI 10.1007/s10814-013-9068-y
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Introduction
Perhaps the most significant change in hunter-gatherer studies over the last several
decades has been the shift from expecting hunter-gatherers to have similar
properties (subsistence, settlement pattern, technology, social organization)
wherever they are found to recognizing that hunter-gatherer adaptations should
vary (often widely) along many different dimensions in different environments and
under different levels of population density and regional organizational diversity.
With this shift from a primary focus on describing ‘‘typical’’ hunter-gatherers to
exploring variation among hunter-gatherers, there also has been an intellectual shift
from arguing about which groups are most typical of the class to developing or
testing theory that can explain large- and small-scale patterning of variation among
hunter-gatherers as well as the circumstances under which and the processes by
which hunting-gathering adaptations are transformed into a range of horticultural,
agricultural, pastoral, or agropastoral adaptations.
Researchers approach the study of hunter-gatherer synchronic variation and
temporal change from perspectives that vary along many different dimensions. For
some the goal is developing an understanding of individual cultural contexts (past or
present), whereas others pursue explanations of cross-cultural variation at regional
or global scales. Some rely on individual human intention or unique historical
events as the locus of cause; others see patterns as the result of multiple individual
humans making similar rational decisions and look to the broader ecological context
(both social and physical) to understand why those decisions might pattern the way
they do. Some consider humans as a unique type of volitional actor operating in a
socially constructed world, whereas others assume human behavior is conditioned
by the same ecological and evolutionary factors that influence the behavior of other
animals. Some focus on variation in space, some on change over time, and a few on
the interaction of variation in space and change over time. This variation in
anthropological approaches to observations on hunter-gatherer societies and their
variation create a complicated literature full of professional disagreements. Often
these are based on ideological debates over who has the correct approach rather than
substantive discussions of the relative utility of different approaches for developing
explanations of the patterning in the ethnographic and archaeological records at
varying temporal and spatial scales.
Within the realm of hunter-gatherer studies in general, and hunter-gatherer
archaeology in particular, the central axis of theoretical disagreement at present is
related to the goals of studying hunter-gatherers (or anthropology in general). After
a few decades with the primary focus on evolutionary or ecological factors that
condition hunter-gatherer behavior, decision making, and large-scale variation
(Prentiss et al. 2009; see also recent reviews of literature in Bettinger 1991; Binford
2001; Kelly 1995; Price 2002), there has been a resurgence of culture history
(Emerson et al. 2009; Sassaman and Holly 2011).
The primary arguments of those advocating a return to culture history are that
mid-20th century cultural evolutionary stages (band, tribe, chiefdom, state) have
been shown not to be an accurate reflection of cultural trajectories and have
prevented us from recognizing and appreciating the full range of variation among
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hunter-gatherers, and that a focus on how hunter-gatherers adapt to environmental
and demographic contexts leads to a perception of these groups as more ‘‘primitive’’
and ‘‘natural’’ than groups with agriculture and more complex societies who are
allowed agency in ‘‘writing’’ their own histories (Sassaman and Holly 2011). I doubt
any researchers working from contemporary evolutionary and ecological perspec-
tives would disagree with either of these basic propositions. In both cases, advocates
of culture history encourage a focus on interpretation of social meaning in the
unique details of the archaeological record, rather than an explanation of general
patterns that result from universal processes. These very different goals for studying
the past, rather than knowledge or beliefs about what that past was like, are the heart
of the academic disagreement about how best to study the archaeological record.
When we examine what has actually been learned, there is remarkable convergence
in our knowledge about hunter-gatherers past and present, whatever the research
agenda of the researchers.
If the goal of studying the archaeological record is to develop an interpretation of
the past to emphasize the humanity of those who created the archaeological record
and to represent our own social interpretation of the meaning of the past, then a
humanistic strategy like culture history, with reference to contemporary social and
historical theory, is a perfectly reasonable strategy. If the goal of studying the
archaeological record is to develop explanations that allow us to predict when
certain patterns will and will not occur in that record, then we must develop
explanations based on theory that allow us to apply knowledge gained in one
context to other contexts. In either case, using environmental and ethnographic
frames of reference to develop expectations based on the known ranges of variation
can contribute productively to research. For those seeking explanations, environ-
mental and ethnographic frames of reference are a source of data for both inductive
theory building and deductive hypothesis testing. For those pursuing explication,
understanding that dimensions of past cultural systems are patterned in regular ways
with respect to environmental and demographic factors could be valuable for
contextualizing historical interpretation.
Explanation based in general process
The initial focus of this review is on those approaches that seek to explain
synchronic variation and emergent change in terms of general processes that are
relevant in more than one particular time and place. This focus does not deny the
impact of unique individuals or historical events but strategically focuses on factors
that should predictably apply in multiple contexts, as those that should be of the
greatest relevance in the widest range of contexts. Patterns of variation and change
are now often approached using human behavioral ecology (Bird and O’Connell
2006), neo-Darwinian (selectionist) evolutionary (O’Brien 2008; O’Brien and
Lyman 2000), or macroevolutionary perspectives (Prentiss et al. 2009). These
approaches are compared and evaluated by Zeder (2009). To these I add a
discussion of Binford’s (2001) approach to cross-cultural pattern recognition using
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environmental and hunter-gatherer frames of reference that is largely inspired by the
same ecological literature as the emerging field of macroecology (Blackburn and
Gaston 2003; Brown 1995; Brown et al. 2003; Rosenzweig 1995).
Environmental and social factors compose the ecological context of individuals
within a society and of societies within a landscape filled with other societies. Since
both the adoption and the relative success or failure of adaptive strategies in
evolutionary terms is conditioned by the match of strategies to the adaptive
landscape in which they are being adopted and used, ecological and evolutionary
approaches are intimately related but differentiated along multiple dimensions,
including scale of analysis, tempo of change, directedness of change, and role of
human intent in change (Zeder 2009, pp. 187–196).
The first dimension that differentiates these approaches is the scale of analysis.
Neo-Darwinian evolutionary and human behavioral ecology are generally micro-
scale approaches that focus on individual traits or people as the units of analysis,
whereas macroevolutionary and cross-cultural analysis are macroscale approaches
that focus on integrated sociocultural systems as the units of analysis. Perspectives
on the tempo of change (gradual vs. punctuated) and directedness of change
(undirected or nondirectional vs. directed or directional) are strongly correlated with
the scale of analysis. Both microscale approaches emphasize undirected, gradual
change over time, whereas both macroscale approaches recognize punctuated
patterns of directional change in which periods of relative stasis (or gradual change)
are interrupted by periods of rapid change and social reorganization. Where
approaches at a similar scale of analysis differ is primarily in attribution of the locus
of cause for variation and the explanatory importance of human intent in culture
change.
Human behavioral ecology and macroevolutionary approaches emphasize the
importance of human intent in decision making that structures variation within and
between societies and, for macroevolutionary approaches, the importance of human
agency in directing processes of culture change. This attribute is a primary point of
overlap between macroevolutionary and culture history approaches (e.g., Prentiss
2009, 2011). Neither neo-Darwinian nor cross-cultural comparative analysis relies
on human intention to explain patterns. Neo-Darwinian models rely on processes of
selection, drift, and cultural transmission to explain patterns in the distribution of
particular attributes over time. Binford’s (2001) macroecological cross-cultural
analysis focuses on ecological conditions, including distribution of both resources
and people, as the factors that must be considered in an explanation of variation in
strategies. This does not mean that researchers working in these traditions deny that
hunter-gatherers (past or present) exercised social agency and made intentional
decisions. The choice to focus explanation elsewhere is a strategic, epistemological
choice based in the recognition (1) that we cannot observe human intent directly and
thus cannot test explanations that depend on variation in intent as the primary locus
of cause, and (2) that patterns in the archaeological record are the result of multiple
humans making similar decisions under similar conditions, raising the question:
under what conditions do people with the same decision-making capabilities make
different choices?
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Dimensions of variation among recent hunter-gatherers
Knowledge of variation among recent hunter-gatherers has grown immensely since
the 1968 ‘‘Man the Hunter’’ symposium in which Lee and DeVore (1968, p. 11)
suggested, ‘‘We make two assumptions about hunters and gatherers: (1) they live in
small groups, and (2) they move around a lot.’’ This view of hunter-gatherers has
proven to be much too simplistic. Both ethnographic and archaeological studies
have documented numerous examples of hunter-gatherers organized in quite diverse
ways. Neither of these generalizations has stood the test of further research in either
archaeological (Price and Brown 1985) or ethnographic domains (Binford 2001;
Kelly 1995). Kelly (1995, pp. 1–37) supplies a comprehensive review of
anthropological ideas about hunter-gatherers and the intellectual shift from seeking
the most appropriate model of an assumed (universal) original hunter-gatherer
society to seeking to explain variation among hunter-gatherer adaptations. This
section reviews some of the dimensions of variation that have been documented
among recent hunter-gatherers at global and regional scales of analysis.
System states
At a global scale of comparison, the ethnographic record of recent hunter-gatherers
reveals enormous ranges of variation along several dimensions, including (but certainly
not limited to) subsistence strategy, mobility strategy, settlement pattern, division of
labor, properties of leadership, scale and flexibility of social networks, and degree of
internal status differentiation. Although there are great ranges of variation along each of
these dimensions, the specific combinations of characteristics displayed among hunter-
gatherers are not infinitely variable but cluster in the ‘‘hyperspace’’ of possibilities
(following Hutchinson 1953; see also Cronk 1999) as distinctive ‘‘system states’’
(following Binford 2001). System states (Binford 2001) are conceptually similar to
configurations of the cultural core (following Boyd et al. 1997) that are elsewhere
referred to as bauplane (Rosenberg 1994; Spencer 1987, 1990, 1997), resource
management strategies (RMS) (Prentiss 2009; Prentiss and Chatters 2003), or complex
adaptive strategies (Bettinger 2009). System states, however, are defined at a higher
level of abstraction than the other approaches that recognize broadly similar types of
adaptation. Descriptions of bauplane, resource management strategies, and complex
adaptive strategies focus on particular technology, resource targets, or forms of social
organization, whereas system states recognize similarity in the rules structuring
variation across particular strategies within the bounds of the system state category.
Binford (2001, pp. 342–343) identifies seven system states among the 339 hunter-
gatherer cases in his comparative dataset: (1) mounted hunters, (2) horticulturalists,
(3) mutualists/forest product specialists, (4) generic hunter-gatherers, (5) generic
hunter-gatherers with instituted leadership, (6) wealth-differentiated hunter-gatherers,
and (7) internally ranked hunter-gatherers. The first three system states represent
hunter-gatherers with domesticated animals or plants or regular trade with neighbor-
ing non-hunter-gatherers. The remaining four system states occur among econom-
ically autonomous hunter-gatherer cases. System state variation patterns with both
effective temperature (�C) and population density (Fig. 1).
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Particular system states are regularly associated with particular combinations of
environmental and demographic variables (including both population density and
proximity of neighboring groups with a distinct system state). The implications of
this patterning are (1) that there are ecological constraints on organizational patterns
among hunter-gatherers such that organizational options can be predicted given
knowledge of basic environmental properties of particular locales, and (2) that
density-dependent system states recognized among contemporary hunter-gatherers
living in similar environments provide a clue to likely trajectories of change over
time in settings where regional population densities follow a regular growth pattern.
Thus generalizations about the conditions under which distinct system states and
subsistence strategies are found for contemporary hunter-gatherers can help
contextualize archaeological investigation of hunter-gatherer variation and prompt
specific expectations for patterns of change over time.
Fig. 1 System state of recent hunter-gatherers (SYSTATE3) in property space defined by effectivetemperature (Y) and log 10 population density (X) using data from Binford’s 339-case hunter-gathererdata file. Horizontal lines mark Binford’s storage threshold (ET = 15.25) and terrestrial plant dependencethreshold (12.75). Vertical line marks Binford’s packing threshold (DENSITY = 9.1 persons per100 km2)
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Generalizations at a global scale of analysis
Group sizes, house forms, mortuary practices, and even beliefs about death (Binford
1990, 2001, 2004) regularly pattern with both environmental and demographic
variables in the ethnographic record of recent hunter-gatherers. Here I review a few
prominent patterns as a foundation for further discussion of how this knowledge of
variation among recent hunter-gatherers could be used to inform archaeological
research and drive the production of new knowledge.
Two recent summaries of patterns of variation among ethnographically
documented hunter-gatherers (Binford 2001; Kelly 1995) use overlapping data
but have quite different goals. The Foraging Spectrum (Kelly 1995) provides a
thorough review of hunter-gatherer studies in anthropology, problematizes the
typological definitions of ‘‘hunter-gatherer,’’ and dimensionalizes hunter-gatherer
variation in chapters focusing on subsistence, mobility, exchange, group size,
gender roles, and internal status differentiation. Large-scale patterning is discussed
in the context of behavioral ecology and the individual decisions that produce
different patterns under different ecological and social conditions. Binford’s (2001)
Constructing Frames of Reference introduces analytical methods for using what is
known about organizational variation among hunter-gatherers, in conjunction with
what is known about their environmental and demographic settings, to demonstrate
both an inductive strategy for theory building and analytical strategies for using
generalizations and propositions developed from ethnographic patterning among
hunter-gatherers as a tool for archaeological research. Table 1 presents summary
statistics on the ranges of variation recorded for a few commonly discussed aspects
of hunter-gatherer subsistence and social organization. Some prominent general-
izations from these pattern-recognition studies are presented below.
Subsistence, environment, and population density
Other things being equal, the dependence of hunter-gatherer groups on plants for
subsistence decreases as latitude increases such that at low latitudes (high effective
temperature), hunter-gatherers are often primarily dependent on plant foods,
whereas at high latitudes (low effective temperature), low-population-density
hunter-gatherers are primarily dependent on animal foods (Binford 1990; Hiatt
1970; Kelly 1995; Lee 1968). As population density increases, dependence on
terrestrial animals decreases such that there are no ethnographically documented
hunter-gatherers primarily dependent on hunting terrestrial animals beyond the
packing threshold of 9.1 persons/100 km2 (Binford 2001, p. 381). In environmental
settings where aquatic resources are abundant, hunter-gatherer dependence on
aquatic resources increases as population density increases. Kelly (1995, p. 72)
demonstrates the relationship between increasing dependence on aquatic resources
and less hunting than expected given effective temperature and primary produc-
tivity. Thus variation in the basic mix of subsistence domains among hunter-
gatherers is largely conditioned by effective temperature and population density
(Fig. 2). Access to aquatic resources is a third factor conditioning basic subsistence
options.
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This set of generalizations has implications not only for the basic mix of
subsistence strategies archaeologists should expect for hunter-gatherers in different
environmental settings, but also for how they should change over time if regional
population density generally increases. Johnson and Hard (2008) use this pattern as
the foundation for a theoretical model of the conditions under which hunter-
gatherers will intensify on plants and an exploration of when plant intensification
will and will not precipitate a transition to agriculture. Implications of this model
have been discussed with respect to the archaeological record of Texas (Johnson and
Hard 2008) and of west-central Argentina (Johnson et al. 2009).
This pattern of environmental and density-dependent variation in basic subsis-
tence is also correlated with quantities of food stored (Fig. 3) and type of housing
(Binford 1990). This basic pattern is further associated with variation in mobility,
social organization, and technology, all of which have implications for patterned
variation in the archaeological record.
Mobility
Few aspects of hunter-gatherer variation have received more cross-cultural
comparative attention than mobility (e.g., Binford 1980, 1982, 1990, 2001; Kelly
1983, 1995). There are several dimensions of mobility. Residential mobility during
an annual cycle can be measured by number of moves per year, distance per move,
and/or total distance moved per year; short-term mobility (annual cycle) can be
Table 1 Variation among recent hunter-gatherers along several dimensions documented in Binford’s
339-case hunter-gatherer data file
Variable Description Minimum Maximum Mean (n)
LATITUDE Latitude (decimal) 0.00 77.49 37.84 (338)
HUNTING % diet from hunting terrestrial animals 5.00 90.00 33.18 (338)
GATHERIN % diet from gathering terrestrial plants 0.01 90.30 34.53 (339)
FISHING % diet from aquatic resources 0.04 95.00 37.88 (290)
DENSITY Population density (people per 100 km2) 0.25 308.70 24.59 (339)
POLYG % males married to multiple women 0.10 57.00 13.87 (211)
GRP1 Mean size of smallest residential group 5.60 70.00 17.65 (227)
GRP2 Mean size of largest seasonal residential group 19.50 650.00 75.27 (297)
GRP3 Size of periodic regional camps 42.00 1,500.00 209.34 (216)
AREA Area occupied by ethnic group (km2) 80 660,000 38,875 (339)
TLPOP Ethnic unit size 23 14,500 1,671.12 (339)
NOMOV Number of annual residential moves 0.10 58.00 9.7 (261)
KMOV Distance moved annually in residential moves
(km)
0.02 917.13 250.37 (261)
KSPMOV Average distance per residential move (km) 0.16 73.28 24.61 (255)
MHS Mean household size (number of people) 2.50 40.00 8.30 (232)
MEANSZ Mean house size (diameter of circle [in
meters] with area equal to mean house area)
1.18 19.25 5.31 (206)
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further distinguished from long-term patterns of landscape use (see discussion in
Binford 1980, p. 19). Most comparative studies using ethnographic data focus on
short-term mobility because that is what is best documented given the time scale of
ethnographic observation.
Kelly (1983) demonstrates that the number of residential moves per year
generally increases with primary production (aquatic-dependent cases are the
exception) and that the average distance per residential move increases as effective
temperature decreases (exceptions either have horses for transport or are dependent
on aquatic resources or breathing-hole sealing). Following a modeling exercise,
Binford (2001, p. 242) generalizes: ‘‘As the abundance of food in a habitat
decreases, of necessity a group’s mobility increases. Other things being equal, it is
certain that greater net benefit is associated with small group sizes in food-poor
settings.’’ This generalization leads to the proposition that ‘‘the smallest groups and
the most consistent relationships between mobility and group size [are expected] to
occur among peoples living in low-productivity habitats’’ (Binford 2001, p. 242).
Fig. 2 Recent hunter-gatherer subsistence specialty (SUBSP) in property space defined by effectivetemperature (Y) and log 10 population density (X) using data from Binford’s 339-case hunter-gathererdata file. Horizontal lines mark Binford’s storage threshold (ET = 15.25) and terrestrial plant dependencethreshold (12.75). Vertical line marks Binford’s packing threshold (DENSITY = 9.1 persons per100 km2)
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In addition to the strong relationship between mobility and properties of the
environment, measures of mobility also are strongly correlated with population
density, such that both total distances moved annually and average distance per
residential move decrease as population density increases (Binford 2001, p. 312).
Storage of seasonally abundant resources is further recognized as a factor that can
reduce the importance of controlling group size to reduce mobility costs (Binford
2001, pp. 255–256).
Group size
Binford (2001) uses group-size variables throughout his demonstration of pattern-
recognition strategies using frames of reference. Binford distinguishes three scales
of group size. Here, I review patterning related only to Binford’s group 1 size, the
size of the smallest residential aggregations each year. Since minimizing group
size is important for minimizing mobility costs among residentially mobile
Fig. 3 Quantity of food stored by recent hunter-gatherers (QSTOR) in property space defined byeffective temperature (Y) and log 10 population density (X) using data from Binford’s 339-case hunter-gatherer data file. Horizontal lines mark Binford’s storage threshold (ET = 15.25) and terrestrial plantdependence threshold (12.75). Vertical line marks Binford’s packing threshold (DENSITY = 9.1 personsper 100 km2)
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hunter-gatherers, particularly where food storage is absent or minimal, group sizes
are generally smaller in low-productivity environments (where a group of any given
size would have to move more often) and where there is no storage. Group size
varies in regular ways with basic subsistence strategy and with political complexity
(Binford 2001, pp. 253–254). Patterns with subsistence strategy seem to be
mediated by the percent contribution of males to the diet such that as male
contribution to the diet increases, group size increases and then decreases beyond
values of either 50 % (terrestrial plant-dependent peoples) or 75 % (terrestrial
animal-, aquatic resources-dependent peoples) for male contribution to the diet
(Binford 2001, pp. 304–305). Given the strong environmental correlates of
subsistence dependence and, therefore, male division of labor, some patterning in
group size is also environmentally conditioned. Group size also responds to
intensification, as one common intensification strategy is to reduce group size as
adults increase labor effort (Binford 2001, p. 315). Regardless of subsistence
strategy, the smallest group sizes are seen at intermediate values of the total distance
that a group moved annually. Plant-dependent hunter-gatherers (primarily foragers)
have the smallest documented group 1 sizes (Binford 2001, pp. 244, 252, 275).
These groups exhibit what Binford refers to as a collapsed division of labor, where
adults work every day instead of every other day to get food.
Division of labor and polygyny
Subsistence procurement among ethnographically documented hunter-gatherers
ranges from 30 to 99 % male contribution to the diet. Numerous cross-cultural
studies have explored the relationships among latitude, subsistence, and division of
labor. Noted patterns include that as either dependence on sea mammals (Hiatt
1970, p. 7) or dependence on terrestrial animals (Murdock and Provost 1973, p. 208)
increases, male contribution to the diet also increases (Binford 2001, p. 301).
Binford (2001, p. 280) demonstrates that polygyny is highest where females make
the highest contribution to the diet, generally in groups that are primarily dependent
on either terrestrial plants or (non-sea mammal) aquatic resources.
Wealth differentiation and ranking
Instituted leadership is most often associated with subsistence strategies requiring
regular skilled performance (hunting terrestrial animals, some aquatic resource
procurement). Leadership prerogatives and class distinctions are not found among
hunter-gatherers that practice horticulture and are primarily dependent on terrestrial
plants (Binford 2001, p. 406). Secret societies and sodalities are associated with
large residential groups, whether or not they are sedentary (Binford 2001, p. 406).
Wealth differentiation can occur across levels of population density and among
hunter-gatherers of any basic subsistence strategy (Binford 2001, p. 426). Whereas
some wealth differentiation is non-density-dependent in contexts where it results
from ‘‘differences in the skill and consistency of individual performance among
those involved in food procurement’’ (Binford 2001, p. 427), it is also a density-
dependent phenomenon in settings where it is possible to ‘‘monopolize access to
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locations with productive resources by restricting access to them based on kinship
conventions’’ (Binford 2001, p. 427). Internally ranked hunter-gatherers are almost
entirely aquatic-dependent groups where resource production locations can be
monopolized by owners who are able to exclude or extract labor from nonowners
when resources are ready to be processed (Binford 2001, p. 432). Hunter-gatherers
with the highest population densities all have internal ranking (p. 425).
Thus, not only are ethnographically documented hunter-gatherers very often not
egalitarian, the forms of complexity represented vary from segmentation related to
scale of residential community (sodalities/secret societies) to internally ranked
societies based on unequal access to productive subsistence locales. Further, the
variation in these system states is related to environment through the distribution of
resources and skills required for basic subsistence strategies and to population
density through the development of differential access to resources that structures
wealth differentiation and ranking.
Although far from exhaustive, this sample of variation demonstrated among
recent hunter-gatherers at the global scale of analysis is sufficient for the purposes of
this review. Very different patterns are noted in studies with a regional scale of
analysis.
Regional scales of analysis
Regional studies of hunter-gatherer variation depend on having several ethno-
graphically well-documented groups with similar subsistence patterns within a
region. There are relatively few regions in the world where this kind of variation is
ethnographically documented among hunter-gatherers. However, it could be argued
that studies at this scale would be more relevant to most archaeological
investigations of variation among ancient hunter-gatherers than studies at the
global scale.
Steward’s study of hunter-gatherer variation in the Great Basin (Steward 1938) is
a good early example of a regional study of variation that has contributed
productively to archaeological analysis in the region for several decades (e.g.,
Thomas 1973, 1983; Zeanah 2002; Zeanah and Simms 1999). A comparatively
recent example is Cashdan’s (1983) exploration of how ecological models of
territoriality relate to ethnographic data from across the Kalahari. In this study,
Cashdan notes that the expectations of ecological models of territoriality developed
at a global scale of comparison (Dyson-Hudson and Smith 1978) do not predict the
patterning observed in the Kalahari region (Cashdan 1983, p. 47).
Cashdan explores social boundary defense as a form of territory maintenance
qualitatively distinct from (and with lower maintenance costs than) perimeter
defense (Cashdan 1983, pp. 49–51). Her exploration demonstrates that the
ethnography of the Kalahari is consistent with social boundary defense of territories
and that evidence suggests that within the Kalahari there is greater territoriality
where resources (both food and water) are more scarce (among the !Ko) rather than
where they are most abundant (among the !Kung and Nharo). Although the greatest
impact of this study has been in refining ideas about the ways territorial boundaries
can be maintained when perimeter defense is not feasible, the pattern of variation in
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territory size across the Kalahari also is of interest and likely relevant well beyond
this region.
The larger lesson is that we see different patterns of variation at the regional scale
(where some variation is constrained by location within the same general region of the
world) compared to those at the global scale. Neither is the ‘‘correct’’ scale for analysis—
both are necessary to understand patterning in ethnographic or archaeological records.
The next section discusses the importance of the scale of analysis for integrating
ethnographic and archaeological studies of variation among hunter-gatherers.
Scales of analysis of hunter-gatherer variation
Although archaeological and ethnographic studies of variation among prehistoric
and recent hunter-gatherers are certainly complementary, they are often conducted
at very different spatial and temporal scales of analysis. Cross-cultural studies of
variation among recent hunter-gatherers are often organized at a global scale, while
there are only a few studies organized at a regional scale. Archaeological studies of
hunter-gatherer adaptations are most often organized at a local scale, while there are
increasing examples organized at a regional scale. The scale of analysis changes not
only the relevant dimensions of variation and their ranges of variation but also the
relationships between resource structure, demographic parameters, and social
organization. Thus patterns discovered at one scale of analysis are not uniformly
applicable at other (smaller or larger) scales (see, e.g., Johnson 2004). Learning
which patterns do and which do not translate across scales is of interest for future
research but, in the short term, introduces a methodological challenge for
archaeologists learning to use ethnographic generalizations productively in research.
Here, I propose a hierarchical strategy for developing expectations for variation
among prehistoric hunter-gatherers that can both situate the research locale with
respect to global patterns of variation and acknowledge important dimensions of
variation in habitat structure that are likely to condition regional variation in hunter-
gatherer mobility, subsistence, and social organization. Such a strategy should allow
us to develop some very specific expectations for the spatial and temporal patterns of
variation among prehistoric hunter-gatherers and put existing studies of ethnograph-
ically documented hunter-gatherers to more productive use than is often done.
Expectations for variation among prehistoric hunter-gatherers
The patterns established in the analysis of variation among recent hunter-gatherers
are not expected to mirror archaeological ranges of variation, but they are expected
to provide a useful frame of reference for probing dimensions and structure of
variation in the archaeological record. Developing methods for using patterns
documented among recent hunter-gatherers to learn about their similarities to and
differences from prehistoric hunter-gatherers will be a key strategy in maximizing
the learning potential of archaeological research at various scales of analysis. The
initial proposition Binford (2001, p. 50) makes is:
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Good science consists of strategically using prior knowledge to make
projections from better-known domains to less well-known domains. When
observations on the less well-known phenomena are inconsistent with our
projections, this is an important clue to the way in which the world may have
been different from our conception of it. When ideas that we have considered
germane are shown to be irrelevant, or at least poorly conceived relative to the
way the world is organized, an opportunity for learning has been identified.
The challenge here is to strategically use what we have learned from
ethnographic studies of hunter-gatherer variation to ask productive questions of
the archaeological record that focus on learning about how the past was different
from the ethnographic present, rather than using the ethnographic record to interpret
the past in a way that does not allow us to test the limits of what we think we know.
Given the enormous investment in global comparative studies to develop our
knowledge of patterns of variation among hunter-gatherers and the strong
relationships among many features of hunter-gatherer subsistence, settlement,
technology, and social organization to very basic properties of the environment
(especially effective temperature and access to aquatic resources) and to population
density, it should be productive to situate archaeological studies of hunter-gatherers
with respect to these existing environmental and hunter-gatherer frames of
reference.
Situating study regions with respect to the environmental frames of reference is
simple. Anywhere we have the combination of basic weather station records and
some geographic knowledge, we can calculate Binford’s environmental frame of
reference (described in Binford 2001; also a Java program: Binford and Johnson
2006). Although modern weather station data will not be accurate for much of the
archaeological record, the combination of knowing how the region is expected to
pattern in the present and knowledge of likely climate patterns in the past makes it
possible to model the past in such a way that environmental and hunter-gatherer
frames of reference could be calculated (for a case-specific model, see Johnson
2002; for a general-modeling approach, see Johnson 2008). The better the
reconstruction of past climates in a region, the easier and more productive this
strategy could be for archaeologists who would find it useful to know what would be
expected if past hunter-gatherers were organized with respect to the environment
like recent hunter-gatherers. The goal should be to test how well projections
anticipate past patterns rather than using what we think we know of the present to
interpret what the past was like. We should be looking for differences, for these
represent our learning opportunities.
This review of global-scale generalizations regarding hunter-gatherer variation
reveals several key dimensions that should guide the development of expectations
for patterns of both geographic variation and temporal change among archaeolog-
ically known hunter-gatherers. Effective temperature (Fig. 4) is a key environmen-
tal variable conditioning subsistence specialty, dependence on storage, and, through
these, several aspects of mobility and social organization. Availability of aquatic
resources provides opportunities for hunter-gatherers to diversify and intensify diets
based on wild foods. Combining data from individual weather station locations for
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effective temperature (ET; using Binford’s storage threshold, ET = 15.25, and plant
dependence threshold, ET = 12.75) and projected hunter-gatherer dependence on
aquatic resources at the packing threshold (D1PFISHP, using D1PFISHP C 30 to
mark a good aquatic intensification option) makes it possible to map regions that are
expected to have different initial subsistence and intensification options (Fig. 5).
Hunter-gatherers inhabiting regions with an ET \ 15.25 are expected to need some
food storage, even at very low population densities, whereas those above this value are
expected to add significant food storage only as an intensification response to
increasing population densities. Hunter-gatherers inhabiting regions with ET [ 12.75
could have been dominantly dependent on plants, whereas hunter-gatherers in regions
with lower effective temperatures are expected to be dominantly dependent on
terrestrial animals or aquatic resources. In all effective temperature zones, regions
with productive aquatic resources are expected to have very different intensification
trajectories than those without a good aquatic resource option, including longer
periods as intensified hunter-gatherers and greater likelihood of developing internal
ranking. Figure 5 maps six intensification patterns based on three zones of effective
temperature and presence or absence of a good aquatic resource option. The first two
are in relatively low-latitude regions with year-round growing seasons where hunter-
gatherers would not have needed long-term food storage except at relatively high
population densities. Where there is a good aquatic resource option (pattern 1, where
ET [ 15.25 and D1PFISHP C 30), hunter-gatherers are expected to be dominantly
dependent on gathering but may intensify on both plants and aquatic resources as
population densities rise. Warm ambient temperatures pose a problem for storing
aquatic resources due to rapid spoilage, so where both options are available, there may
be internal differentiation in subsistence focus leading to more complex ethnic
interactions in the region (e.g., Binford 2004). Where there is not a good aquatic
resource option (pattern 2, where ET [ 15.25 and D1PFISHP \ 30), hunter-gatherers
are expected to be dominantly dependent on gathering and to intensify on plants as the
population density increases.
Fig. 4 Map of the world showing zones based on Binford’s effective temperature thresholds marking thestorage threshold (ET = 15.25) and the terrestrial plant dependence threshold (12.75)
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In the mid-latitudes there is a zone between the storage threshold and the plant-
dependence threshold where hunter-gatherers could be mostly dependent on plants
but would need some storage, even at low population densities. The next two
intensification patterns fall in this zone. Where there is a good aquatic resource
option (pattern 3, where 12.75 B ET \ 15.25 and D1PFISHP C 30), hunter-
gatherers have the most varied subsistence options. Wealth differentiation and
internal ranking may develop among hunter-gatherers in this setting, but having a
plant-intensification option would limit the degree of control that could be imposed
by those who controlled access to aquatic resource locations. Where there are not
good aquatic resource options (pattern 4, where 12.75 B ET \ 15.25 and
D1PFISHP \ 30), hunter-gatherers may have initial subsistence focused on either
terrestrial plants or terrestrial animals, but as densities increase, the only good
option for intensification is on plants, and the need to accumulate food in storage
over winter creates conditions that seem to support an early transition to horticulture
as intensification on plants with seeds that can be stored easily leads to increased
effort in cultivation.
At higher latitudes, growing seasons are too short for hunter-gatherers to be
dominantly dependent on plants (though it is possible for horticulture to move into
Fig. 5 Map of the world showing zones based on expected intensification patterns based on thecombination of Binford’s effective temperature thresholds (storage needed where ET C 15.25 �C; plantdependence possible where ET \ 12.75 �C) and availability of aquatic resources sufficient for these to bean intensification option. Pattern 1 marks high ranges of ET where mobile hunter-gatherers need nostorage, could be mostly dependent on terrestrial plants, and aquatic resources are an intensificationoption. Pattern 2 marks ranges of ET where mobile hunter-gatherers need no storage, could be mostlydependent on plants, and aquatic resources are not an intensification option, so terrestrial plants are theonly intensification option. Pattern 3 marks middle ranges of ET where mobile hunter-gatherers do needstorage, could be mostly dependent on terrestrial plants, and aquatic resources are an intensificationoption. Pattern 4 marks middle ranges of ET where mobile hunter-gatherers do need storage, could bemostly dependent on terrestrial plants, and aquatic resources are not an intensification option, soterrestrial plants are the only intensification option. Pattern 5 marks low ranges of ET where mobilehunter-gatherers would need substantial storage, could not be mostly dependent on terrestrial plants, soaquatic resources are the only intensification option. Pattern 6 marks low ranges of ET where mobilehunter-gatherers would need substantial storage, could not be mostly dependent on terrestrial plants, andaquatic resources are not an intensification option, so there are no good intensification options
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some of this region), and hunter-gatherers need substantial storage, even at low
population densities, that may increase to massive storage at higher densities. The final
two intensification patterns are in these high-latitude regions. Where there are good
aquatic resource options (pattern 5, where ET \ 12.75 and D1PFISHP C 30), hunter-
gatherers who were dominantly dependent on terrestrial animals at low population
densities can intensify on aquatic resources as population densities grow. [In a few
very-high-latitude settings like the Arctic coast, even low-density hunter-gatherers are
dominantly dependent on aquatic resources.] Wealth differentiation and internal
ranking are most likely to develop among hunter-gatherers in these settings because
access to aquatic resources are localized and relatively easy to defend, cool ambient
temperatures make it possible to process and store these resources without rapid
spoilage, and there is no good plant-intensification alternative for those without direct
access to aquatic resources. In higher latitudes where there are no good aquatic
resource options (pattern 6, ET \ 12.75 and D1PFISHP C 30), hunter-gatherers are
expected to be dependent mostly on terrestrial animals. Without a good option for
intensifying either plants or aquatic resources, these regions are not expected to
support intensification trajectories among hunter-gatherers. It is possible hunter-
gatherers with growing population densities would begin managing wild animal
populations, leading to relatively early investment in herding.
These six conditions establish expectations for the pattern of intensification but
do not inform us about the relative pace of change. Following the logic developed
by Johnson and Hard (2008), regions with higher modeled reproductive rates
(Fig. 6) should exhibit greater rates of change over time in the archaeological record
compared with regions with lower modeled reproductive rates since density-
dependent aspects of adaptive strategies should change more rapidly if populations
are able to grow more quickly. By combining expectations for the pace and the
pattern of intensification, it becomes easy to develop specific, testable propositions
regarding the structure of variation and change over time in the portion of the
archaeological record representing hunter-gatherer adaptations. Having mapped
Fig. 6 Map of the world showing modeled reproductive rate based on Binford’s environmental frames ofreference following modeling strategy presented in Johnson and Hard (2008)
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expectations for variation in subsistence and intensification options using thresholds
empirically derived from macroscale cross-cultural ethnographic data in this
section, I next turn to patterns identified by archaeologists for variation among
prehistoric hunter-gatherers.
Variation among prehistoric hunter-gatherers
Prehistoric hunter-gatherers are archaeologically documented in environments
ranging from tropical rain forests to the Arctic—and nearly everywhere archaeol-
ogists have looked in between. Research questions vary greatly by region and by the
state of knowledge of the hunter-gatherer portion of the archaeological record. As
archaeologists begin to work on hunter-gatherer archaeology in a region, questions
generally focus on either the peopling of particular regions (e.g., for high latitudes
and the Arctic: Hoffecker 2002, 2005; for tropical rain forests: Mercader 2003) or
on the transition from hunting and gathering to agriculture (e.g., for North Africa: di
Lernia and Manzi 1998; for southwestern North America: Vierra 2005). As hunter-
gatherer archaeology across a region becomes better documented, there is greater
focus on the structure of variation in subsistence, social organization, mobility
patterns, social complexity, and many other dimensions of hunter-gatherer
adaptations (e.g., for Europe: Bailey and Spikins 2008; for the North Pacific Rim:
Habu et al. 2003; for Australia: Hiscock 2008; for southeastern North America:
Sassaman and Anderson 1996b; for an attempt to synthesize Paleo-Indian
subsistence in North America: Walker and Driskell 2007). This section provides
a broad (and selective) overview of what is known about prehistoric variation
among hunter-gatherers.
Peopling the world
There is significant interest in hunter-gatherer archaeology related to the coloni-
zation of previously unoccupied spaces and particularly how this reflects upon
behavioral capabilities of the colonizers. Colonization of northern latitudes in
Eurasia (Hoffecker 2002, 2005) and Australia by 45,000 years ago (Balme et al.
2009; Davidson 2010) and perhaps as early as 60,000 years ago (for a good recent
summary/critique of the evidence, see Hiscock 2008, pp. 20–44), the initial
colonization of the Americas sometime before 12,500 years ago (for a good recent
summary/critique of the evidence, see Meltzer 2009), and the hunter-gatherer
reoccupation of northern Europe following the retreat of glaciers after 13,500 years
ago (see Bailey and Spikins 2008 and papers therein) attract considerable research
attention among archaeologists.
In addition to questions about the peopling of whole continents, hunter-gatherer
archaeology often addresses the occupation of what anthropologists judge to be
particularly challenging environments. Hoffecker’s (2002, 2005) focus on occupa-
tion in the very cold, dry environment of the Eastern European Plain and in the
Arctic is significant because the development of his stages of colonization focus on
when hominins had the ability to adapt to increasingly cool or cold environments
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(30� latitude to Arctic) and the archaeological evidence for how Neanderthals and
modern humans differ in their use of fire, shelter, and clothing as well as in social
organization and mobility patterns (Hoffecker 2002).
The technological capabilities of modern humans combined with climate
warming after 20,000 years ago are argued to have made it possible for hunter-
gatherers to occupy Eurasia north of 60� latitude and therefore enter Siberia and
western Beringia, from where they entered North America (Hoffecker 2005, p. 96).
Thus the challenge of extreme cold is met by the ingenuity and technological
abilities of hunter-gatherers.
A different kind of challenge has been used to argue that hunter-gatherers could
not have occupied tropical forests until after the advent of horticulture because the
resources available in these forests are particularly lacking wild (accessible)
carbohydrates (e.g., Bailey et al. 1989; Bailey and Headland 1991). This argument
has been thoroughly refuted through archaeological demonstration of hunter-
gatherer occupation in a range of tropical forest environments from the Pleistocene,
well before horticulture entered these habitats (Mercader 2003 and papers therein).
However, archaeological exploration of hunter-gatherer variation in these settings is
not yet developed to the point of being able to note organizational differences in the
way hunter-gatherers used these environments before and after horticulture was
present in the region.
In the regions/time periods where the primary archaeological interest is in the
timing of the peopling of the region, archaeological discussions generally center on
(1) what constitutes evidence of human occupation, (2) the reliability of dating
techniques, and (3) the association of dated materials with evidence for human
occupation. Although resolving these issues produces valuable information, it does
not serve our interest in variation among prehistoric hunter-gatherers, as the earliest
archaeological record in a region (at present) is generally too poorly known to admit
regional comparison of distinct strategies.
Transition to agriculture
As with the peopling of a region, hunter-gatherer archaeology that focuses on the
problem of the transition to agriculture is valuable for addressing questions
regarding the transformation of subsistence economies—but the focus is almost
always on becoming horticultural by looking for ‘‘preadaptation’’ (sedentary
communities, storage facilities, intensive plant processing, prey selection implying
tended herds), not on the variation among prehistoric hunter-gatherers that provided
the different initial conditions for this transition across a broad region (e.g., for
Africa: Clark and Brandt 1984; for Europe: Price 2000; for global survey: Price and
Gebauer 1995). Interest in the late Archaic in the North American Southwest falls
largely in this category (Vierra 2005). Relatively little is known about early or
middle Archaic across the Southwest because the possible development of cultigens
in the late Archaic has attracted most of the attention among researchers pursuing
hunter-gatherer archaeology in the region, though Hunter-Anderson (2009) is a
notable exception. As in other regions where transition to agriculture is a topic of
interest, the arguments are primarily about the timing of early cultivation and
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increasing economic reliance on cultivated resources and on whether domesticates
are locally developed or introduced through migration or trade. Since the focus of
this paper is on variation among prehistoric hunter-gatherers (and since so much
attention is paid to the transition to agriculture elsewhere), I do not explore this area
of research in hunter-gatherer archaeology further here.
Global patterns from regional studies of hunter-gatherer archaeology
There are now several regions of the world for which the archaeological record of
prehistoric hunter-gatherers is sufficiently well known to allow regional-scale
documentation of variation in their adaptations. This section provides a broad
overview of regional variation in prehistoric hunter-gatherer adaptations in Europe,
eastern North America, Australia, and Patagonia. Of these regions, Europe and
eastern North America stand out as areas where the archaeological record is the
primary source of knowledge about hunter-gatherer adaptations, whereas both of the
other regions have ethnographically documented hunter-gatherers, knowledge of
which has been used to inform archaeological research on prehistoric hunter-
gatherer adaptations.
Europe
Upper Paleolithic and Mesolithic periods represent changing hunter-gatherer
adaptations as modern humans occupied Europe during the last glacial and the
subsequent warming. Whereas much of the focus of Upper Paleolithic research is on
the initial modern human peopling of Europe between 45,000 and 25,000 years ago
and on characteristics that distinguish prehistoric modern human hunter-gatherer
adaptations from previous occupation by Neanderthals, Bicho and Haws (2008)
argue that marine resources were a regular part of the diet of hunter-gatherers along
the coast of Portugal by 30,000 years ago. The focus of Mesolithic research has
been on the peopling of northern Europe following the retreat of glaciers after
13,500 years ago and, more recently, on documenting the range of variation in
hunter-gatherer societies across this region. Because rising sea levels have mostly
drowned any sites that may have been along the coast, most of the early evidence is
for interior hunting adaptations (especially horse and reindeer), whereas evidence
for marine resource use is slightly later (see Bailey 2008, pp. 364–367 for a full
discussion of the problem of differential site visibility).
Much of the variation in hunter-gatherer adaptations across this region appears
related to (1) environmental variation and change over time as both the available
terrestrial landscape and the plants and animals occupying it change dramatically
through the glacial cycle and warming in the Holocene, and (2) geographic
distribution and accessibility of aquatic versus terrestrial resources (Bailey 2008;
Spikins 2008). Variation in subsistence relates to the structure of resources in each
particular region, ranging from the combination of pigs, nuts, and fish in the north to
the combination of goats, cereals, and fish in the Levant (Bailey 2008, p. 363).
Further, archaeologists working in this region have documented variation in
system states in line with expectations from global studies of contemporary
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hunter-gatherers with fairly complex, sedentary villages in maritime or lakeside
environments, whereas there is ‘‘scarce evidence for occupation’’ in interior regions
where forest hunting is the dominant subsistence strategy (Spikins 2008, p. 9).
Eastern North America
Like Europe, eastern North America was inhabited almost entirely by horticultural
groups before ethnographic groups began to be recorded, leaving most of what we
know about variation among prehistoric hunter-gatherers to the archaeological record
of the early to mid-Holocene, or Archaic, period. Two recent syntheses focusing on the
Southeast (Sassaman and Anderson 1996b) and the Midcontinent (Emerson et al.
2009) of North America inform this overview. Based on standardized analyses of
archaeological information recorded in state site files across the Southeast, Anderson
(1996, p. 176) recognizes variation in the mobility patterns and scales of social
complexity during the Archaic across the Southeast such that there were ‘‘complex,
riverine-focused occupations along some major river drainages of the Midsouth,
possibly with territorial buffers as well as less complex systems in intervening areas,’’
indicative of foragers with low social complexity and high mobility in interior upland
and piedmont areas. Archaeological evidence in the Midwest suggests an early (as
early as 10,000 BC) focus on riverine resources, especially where mussels are
available (McElrath and Emerson 2009, pp. 842–848), and at least by the mid-
Holocene widespread settlement along Atlantic and Gulf Coasts in the Southeast in
‘‘some of the most permanent, sedentary societies of the time’’ (Russo 1996, p. 178).
Large cemeteries, mound complexes, and regional exchange networks were variably
present across the region by 6000 BP (Gibson 1996; Jeffries 1996), suggesting that
there were strong territorial claims and restricted access to resources, particularly
along the major river drainages.
As in Europe, the accumulated knowledge of hunter-gatherer adaptations from
the archaeological record is a good match for basic expectations about the structure
of variation in subsistence and system state based on global comparative studies of
recent hunter-gatherers. Most of the variation in subsistence is related to the
seasonality of terrestrial plants and the presence or absence of reliable aquatic
resources. Larger settlements with more complex social organization are associated
with availability of aquatic resources. In the archaeological record of both regions,
there is a regular pattern of intensification in hunter-gatherer adaptations that led,
eventually, to a transition to agriculture.
Australia
In contrast to both Europe and eastern North America, Australia was populated by
hunter-gatherers at the time of European colonization. Knowledge of historic
hunter-gatherers has regularly been used, often through simple analogy, to interpret
the archaeological record. Contemporary Australian archaeology seeks to distance
itself from the simplified use of the ethnographic record. Hiscock (2008) presents a
comprehensive overview of the intellectual history of Australian archaeology that
both critiques ideas that have played a large role in the interpretation of archaeology
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in the continent (including use of simple ethnographic analogy) and presents an
overview of the contemporary state of knowledge about Australian prehistory. The
pattern emphasized throughout is that Australian prehistory is characterized by
regional diversity in adaptations and by significant, but not necessarily directional,
change over time (Hiscock 2008, pp. 243–244; Holdaway et al. 2008).
Hiscock (2008, pp. 145–161) surveys Holocene adaptations through a continental
review of technological change and then for three broad physiographic regions: the
coast, inland areas, and the arid zone. The focus throughout is on local environmental
variation structuring local adaptations. From at least the early Holocene, coastal
regions (Hiscock 2008, pp. 162–181) are shown to vary in the mix of terrestrial and
marine resources as well as in the strategies employed for exploiting marine resources
(deep-sea fishing, reef-focused exploitation, mollusk harvesting, hunting marine
mammals/birds on small islands off the coast). In places, an early, specialized deep-
sea-hunting strategy seems to have been replaced by a broad-spectrum strategy in the
late Holocene. Although Hiscock is not entirely convinced by their arguments, several
archaeologists working in northern Australia use evidence from changes in the
regional distribution of rock-art imagery to argue for increased regionalization during
the late Holocene, perhaps indicating increased territoriality (Barker 2004; David
2002, 2006; Hiscock 2008, p. 255; McDonald and Veth 2006; Veth 2006).
In the southeastern wetlands (Hiscock 2008, pp. 182–189), excavations have
yielded evidence of stone walls and excavated channels that may have been used as
fish and/or eel traps (pp. 186–187), and of low mounds that may have encouraged
growth of a local yam species (p. 189). Although these strategies are not
unambiguously limited to the late Holocene archaeological record (re: traps p. 186,
re: mounds p. 189), they do seem to represent a pattern of intensification of resource
use in the region over time. This region falls below the 15.25 ET storage threshold
(Fig. 4) and is, therefore, the only part of the Australian continent in which hunter-
gatherers are expected to need to store food.
Across the central arid zone (Hiscock 2008, pp. 199–218), the archaeological
record suggests local variation in subsistence strategies, mobility patterns, and
social organization structured by local rainfall patterns and resource structure. It
appears that most subsistence resources were used throughout human occupation of
this region (perhaps 10,000 or more years), so that change over time is related more
to fluctuation in the environment and human populations than to directional change
over time (p. 218). This contemporary understanding of the archaeological record of
Australia suggests diversity across environments, challenges interpretations based
on continent-wide patterns of intensification through time, and emphasizes cultural
transformations that limit the utility of simple analogy with ethnographically
documented Aboriginal adaptations.
Patagonia
Patagonia includes both coastal and inland desert areas of southernmost Argentina
and Chile. Although the archaeological investigation of this region is relatively
recent compared with the areas reviewed above, archaeologists are making great
progress in learning about variation in subsistence strategies and regional
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populations. Once thought to be a region characterized by transhumance between
the interior and the coast, stable isotope studies of human remains have shown that
there were distinctly different subsistence strategies for coastal and interior
populations, and DNA studies are beginning to isolate variants that seem to mark
regionally distinct breeding populations (Goni 2010; Goni and Barrientos 2004;
Moraga et al. 2009; Morales et al. 2009; Tessone et al. 2009). Like Australia, the
interior is sparsely populated and particular areas exhibit a fluctuating pattern of
occupation through the Holocene.
Growing knowledge of the archaeological record of prehistoric hunter-gatherers
has led researchers in many parts of the world to a conclusion that is well stated by
Sassaman and Anderson (1996a, p. xix):
It is no longer feasible to characterize Archaic hunter-gatherers in generalized
terms; variation is what characterizes the record of their existence, and it is
variation that we must explain. Changes in our scales of analysis—from site-
specific to regional, from synchronic to diachronic—will allow different
perspectives on variation, so it is essential that detailed site analyses continue
alongside macroscale comparative studies.
How can contemporary environmental and ethnographic frames of reference
from macroscale studies contribute to the development of knowledge of prehistoric
hunter-gatherer adaptations by archaeologists working at local to regional scales?
The next section explores a few examples.
Exploring archaeological variation with frames of reference
There are a number of examples in hunter-gatherer archaeology that can be used to
demonstrate productive learning strategies using environmental and ethnographic
frames of reference. In some, patterns from the study of contemporary hunter-
gatherers are used productively to inform questions in the archaeological record. In
others, archaeological patterns are used productively to question generalizations
from cross-cultural pattern recognition and add to our knowledge of the conditions
under which these generalizations hold.
Comparing human and Neanderthal adaptations
Three recently published examples (Binford 2007; Hoffecker 2002; Wales 2012)
use global environmental and hunter-gatherer frames of reference to explore the
difference between Neanderthal and human adaptations in similar environments. All
use macroscale cross-cultural comparative data on modern hunter-gatherer strate-
gies as a frame of reference for comparing Neanderthal and modern human
behavior. Hoffecker’s focus is on mobility and technology; Binford’s focus is on
diet and details of hunting strategies, with particular emphasis on comparison to
ethnographically documented strategies among Arctic hunters; Wales’s focus is on
type of clothing and amount of the body that would be expected to be covered.
Among the patterns Binford recognizes is that, during the peak cold and peak wet
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periods of Neanderthal occupation of Combe Grenal, the hunting strategy focused
on reliable returns over optimal prey choice, a strategy more like wolves than
modern human hunters (Binford 2007, pp. 204–213).
Hoffecker (2002, pp. 132–137) has productively used patterns of the relation-
ships between environmental setting and subsistence, mobility (Kelly 1995), and
technology (Oswalt 1976) to probe differences in strategies represented in the
archaeological record of Neanderthals and what would be expected of recent hunter-
gatherers on the Eastern European Plain. His discussion highlights both the
similarity in diet between Neanderthals and recent hunter-gatherers in similar
environmental settings (high dependence on meat from terrestrial animals) and the
differences in technological complexity and mobility (Neanderthals with fewer
complex tools and smaller range sizes than expected of recent hunter-gatherers).
Wales (2012) uses models based on data collected from ethnographically
documented hunter-gatherers combined with paleoclimatic reconstructions to show
that the regional distribution of Neanderthals was limited to places where they
would not have needed tailored clothing to survive, whereas modern human
distributions included areas where they would have had to depend on their tailored
clothing to keep warm.
Similarly structured research could productively inform discussions about the
transition to modern human behavior in different environmental settings. We know
enough not to expect the transition to look the same in southern Africa, eastern
Africa, or the Near East, but I do not know of similar studies that have tried to
isolate the dimensions of differentiation in adaptation using what would be expected
using knowledge of recent hunter-gatherers to represent likely modern human
adaptations.
Sedentary hunters?
Where the archaeological record suggests a pattern of hunter-gatherer organization
that is not ethnographically documented, exploring the environmental frames of
reference may suggest a likely reason. Unlike arguments based on the unique
characteristics of particular places, reference to standard measures of dimensions of
environmental variation makes it possible to anticipate where else in the world similar
adaptations might be found, thus making it possible to test new ideas. Rick (1980)
reports well-documented archaeological excavations from preceramic sites in the high
puna of the Peruvian Andes. In part III of that volume, Rick explores the implications
developed from the archaeological exploration of this region: (1) ‘‘vicuna exploitation
affected the placement of almost all sites’’ (p. 266), (2) occupation through ‘‘a wide
range of seasons is indicated in the floral and faunal remains [and] …[n]o reason exists
for abandoning the puna during any season’’ (p. 270), and (3) occupation in base camp
sites was relatively sedentary based on patterns of site maintenance and proportions of
artifacts from regional survey that were found in the primary site (pp. 290–291). His
careful analysis is coupled with exploration of global patterns in hunter-gatherer
adaptations that existed at the time. Rick is very much aware that the sedentary, year-
round occupation of the puna is not what would be expected based on patterns among
ethnographically documented hunting-dependent peoples. Binford (2004 personal
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communication) admits being skeptical of Rick’s interpretation, despite the care he
took with his analysis. Patterning among the ethnographically documented hunter-
gatherers led Binford (2001, p. 222) to propose: ‘‘Groups of sedentary persons who are
dependent upon terrestrial animals for subsistence are very rare indeed. In fact, it could
be argued that, based on the available data, it is not likely that any cases of sedentary
persons who are predominantly dependent upon undomesticated terrestrial animals
would occur.’’
Clearly, the Peruvian Andes are an unusual environment—high altitude, cold and
dry (making long-term storage of meat relatively easy), but with year-round
growing seasons (because of proximity to the equator) and highly territorial prey.
How can situating this archaeological study in the context of Binford’s environ-
mental frame of reference help us understand the context of this unusual adaptation
when Binford would not have anticipated it based on his extensive knowledge of
hunter-gatherer variation? One of the tools Binford (2001, pp. 187–188) developed
is the terrestrial model. The terrestrial model is a simple calculation of the
abundance and accessibility of terrestrial resources in a habitat. It is based directly
on calculated expected primary productivity and projected expected prey biomass
(see Binford 2001, pp. 175–180 for how these are calculated). The terrestrial model
calculates the number of people per 100 km2 who could be supported by terrestrial
plants and the number of people per 100 km2 who could be supported by terrestrial
animals. The sum of these measures yields a model population density that could be
supported based on wild resources with no significant technological innovation.
These are not expected to be accurate estimates of carrying capacity for modern
human hunter-gatherers who can be expected to use innovative technology and
social organization to increase return over such a simple model. However, it is a
useful way to standardize a minimum estimate of carrying capacity based solely on
terrestrial resources.
Using Binford’s environmental frames of reference calculated for world weather
stations (W1429 file), there are three Peruvian weather stations that are at high
altitude (Cajamarca, Cusco, and Puno are all above 8,500 ft) and relevant for this
discussion. Table 2 reports the relevant components of the terrestrial model for
these contemporary weather stations. For each, hunting is expected to be the greatest
portion of the diet and the total terrestrial-model density is near the packing
Table 2 Terrestrial model values for three high-altitude weather stations in Peru from Binford’s 1,429-
case world weather station file run through EnvCalc2 Aug 2006 Java version (Binford and Johnson 2006)
Location Terrestrial model value for people
per 100 km2 supported by:
Summary terrestrial model
value for:
Weather
station
Elevation
(m)
Terrestrial
animals
[TERMH2]
Terrestrial
plants
[TERMG2]
Population
density
[TERMD2]
Subsistence
specialty
[SUBSPX]
CAJAMARCA 2,620.37 5.42 2.60 8.02 Hunting
CUZCO 3,364.08 5.48 1.81 7.29 Hunting
PUNO 3,851.15 4.94 0.43 5.37 Hunting
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threshold. Each of these locations has a value of 4 for the ordinal variable based on
terrestrial-model density. Less than 20 % of the weather stations in this file, which
were selected as a proportional representation of Earth’s biomes, have terrestrial-
model values at or above the level seen in the high altitudes in Peru. Of these, only
62, or about 4 %, of the weather stations in this file have a terrestrial-model density
greater than 5 people per 100 km2 and terrestrial-model subsistence mostly
dependent on hunting terrestrial animals. Most of these locations are in southern or
east Africa or in the Andes from the northwest corner of Argentina north through
Bolivia, Peru, Ecuador, and Colombia.
Through exploration of Binford’s environmental frames of reference, we learn
that the Peruvian puna is one of the few spots in the world where the terrestrial-
model density is very close to the packing threshold (9.1 people per 100 km2;
Binford 2001, p. 239), suggesting that the productivity of this environment could
sustain a year-round, relatively sedentary population without much obvious
intensification. This exploration lends support to Rick’s (1980) conclusions and
suggests a method for identifying other regions of the world where similar
conditions are expected to prevail, opening the door to broader-scale comparative
work focused on the archaeological record and inviting the possibility of testing
hypotheses developed inductively in one region against data collected in another
with similar key properties.
Refining expectations for variation within a region
Since patterning (particularly with environmental variables) is sensitive to scale of
analysis (particularly range of variation included; Johnson 2004), it is important to
develop expectations for patterning on regional as well as global scales. Whereas
there may be big differences in the particular structure of resources that establish
conditions for adaptive variation on the part of local hunter-gatherers, it is possible
that there are some abstract measures, such as potential subsistence diversity
(Johnson 2004) that regularly relate to patterns of intensification and transition from
hunting-gathering to agriculture on a regional scale that are not as relevant to these
patterns on a global scale.
Southwestern United States and Great Basin
Across the southwestern United States, locales with higher projected hunter-
gatherer subsistence diversity began to incorporate cultigens (especially early
maize) earlier, but those locales with lower projected hunter-gatherer subsistence
diversity shifted to fully horticultural adaptations earlier. Within this region, there is
little projected dietary dependence on aquatic resources, so settings with low
subsistence diversity are in areas where hunter-gatherers are expected to be
dependent mostly on terrestrial animals or terrestrial plants. It is as yet unknown
whether this pattern holds in regions beyond the southwestern United States, where
the idea was first developed (Johnson 1997, 2004), but the possibility deserves
further testing. Given the importance of aquatic resource use in global comparison
of archaeological sequence patterns (Johnson 2004), it would not be surprising if
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this pattern fails in settings with low subsistence diversity where hunter-gatherers
are projected to be mostly dependent on aquatic resources.
To fully develop expectations for archaeological variation at the regional scale, it
also is necessary to develop some frames of reference that are relevant only in
particular regions. For example, Zeanah (2002) develops detailed knowledge of the
structure of variation in pinon abundance and productivity and access points for
other economically important plants as a frame of reference to predict settlement
pattern variation within the Great Basin. His analysis considers processing and
transport costs of particular resources as well as their geographic distributions.
Whereas his particular frame of reference is region-specific, a similar strategy could
be productive in any region.
This research grew out of the frustration that Great Basin archaeologists
experienced applying global-scale generalizations about the conditions under which
hunter-gatherers would focus more on foraging or collecting (Binford 1980) to a
region where both the archaeological and ethnographic records indicated there was
regional variation in these strategies that were not accounted for in the global
generalization (Zeanah 2002, pp. 231–232). In this case the realization that a global
generalization based in macroecological cross-cultural pattern recognition was
insufficient to explain regional variation prompted further learning through the
development of regional research from a behavioral ecology approach.
Regions with aquatic resources
Some expectations for regional variation are straightforward given the redundant
patterning in archaeological and ethnographic studies. One of these is that where
aquatic/marine resources are abundant, the hunter-gatherers who exploit them are
expected to be organized very differently from hunter-gatherers in the interior who
are focused primarily on terrestrial resources. For example, at a global scale,
aquatic-dependent hunter-gatherers are more likely than their terrestrial counterparts
to exhibit wealth differentiation among households. Binford (2001, p. 370) suggests
this is because aquatic resource use depends on unique access locations and on
greater technological investment, both of which could contribute to ownership. Not
all aquatic-oriented hunter-gatherers will be organized in the same way; there are
numerous dimensions of variation in the way these resources are distributed,
harvested, processed, and stored that will structure variation among the hunter-
gatherers who utilize them. The coincidence of anadromous fish and ambient
temperatures low enough to allow time for processing before fish goes bad (Binford
2001, pp. 430–431) is associated with the greatest complexity among aquatic-
dependent hunter-gatherers (Binford 2008). Regional studies of ethnographic
patterning suggest that the numbers of species processed and stored are important
predictors of social complexity (Panowski 1985).
South Africa
Recently, Sealy (2006) has argued that stable isotope evidence of human remains
from sites along the southernmost coast of South Africa reveal significant dietary
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differences among geographically separated populations, indicating territoriality
along this coast between 4500 and 2000 BP (Sealy 2006, pp. 581–582). She uses the
distinction Cashdan (1983) makes between types of boundary maintenance to argue
that on the southern Cape there were small territories maintained through perimeter
defense, as Dyson-Hudson and Smith (1978) suggest for environments with
abundant and predictable resources. Sealy’s research is well situated with respect to
global patterns of variation related to aquatic-dependent hunter-gatherers (Sealy
2006, p. 570), yet it has been controversial among archaeologists who work in the
region (Parkington 2007; Sealy 2007). The disagreement centers on the lack of
obvious support for Sealy’s interpretation of isotopic patterning in human skeletons
from other aspects of the archaeological record of the region (Parkington 2007).
Sealy’s response (2007, p. 582) notes the need for greater knowledge of what would
be expected of the archaeological record in this particular setting: ‘‘As Parkington
points out, there is no evidence of sophisticated extraction technologies, permanent
houses, etc., as reported among sedentary hunter-gatherers elsewhere. These have,
however, generally been communities living at much higher latitudes, in strongly
seasonal climates. There simply is not the same need for permanent houses or
storage facilities in this very temperate part of the world. Given this setting, what
would we expect to see in the material cultural assemblages?’’
This is precisely the kind of question a controlled study of hunter-gatherer
housing and storage, focused on aquatic-dependent hunter-gatherers, could address.
Binford’s hunter-gatherer dataset contains considerable relevant information on the
size and construction of houses and could be supplemented by additional
information about the context and design of storage facilities. In a global
perspective, the coastal regions of the western and southern Cape fall in a
temperature range where mobile hunter-gatherers are expected to use some storage;
however, it is likely to be only minimal storage. In this context, any substantial
storage would be expected to be density-dependent. Storage of aquatic/marine
resources would further depend on the seasonality of the resources themselves and
the amount of time such resources would take to spoil. Binford’s ‘‘cod-fish’’
equation (Binford 2001, pp. 430–431) may be a useful frame of reference when
considering storage potential for aquatic resources across this region. It also would
be informative to know more about how marine and terrestrial resource distribution
varies around the Cape. Such knowledge would be useful as a way of controlling
comparisons within the region (how relevant are patterns at Elands Bay Cave on the
western Cape to the discussion of possible territoriality along the southern Cape?).
This is a provocative example of the value of grounding archaeological research in
the broader frames of reference of ethnographic variation and of the need to
continue developing such frames of reference on multiple geographic scales.
Variation in change over time among hunter-gatherers
Thus far, our focus on variation among archaeologically and ethnographically
documented hunter-gatherers has primarily been geographic. This section addresses
variation in patterns of change over time both within hunter-gatherer portions of
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archaeological sequences and (briefly) in the transition from hunting-gathering to
food production. Although intensification of resource use is a dominant pattern of
change at a global scale, it is clear that this pattern is not characteristic of all regions
(Goni 2010; Goni and Barrientos 2004; Hiscock 2008, pp. 243–244; Moraga et al.
2009; Morales et al. 2009; Tessone et al. 2009). Johnson and Hard (2008) developed
a model of intensification, specifically focused on plant intensification, which
suggests that intensification is expected earliest in regions that have the greatest
abundance of accessible terrestrial resources to support high population growth rates
among hunter-gatherers. Mapping growth rates at the global scale (Fig. 6) indicates
that both Australia and Patagonia fall at the low end of modeled growth rates and
thus would not be expected to exhibit strong intensification patterns.
Instead, we should expect strong intensification patterns in regions where hunter-
gatherers have access to plentiful resources that support population growth across
the region. Based on patterning of subsistence strategy with population density
among recent hunter-gatherers, Binford (2001, p. 216) developed the proposition
that ‘‘In warmer climates, there are two distinct paths leading to settled living,
depending on the type of food resource exploited: intensification based on the use of
terrestrial plants and intensification based on the use of aquatic resources. In colder
environments, intensification resulting from the exploitation of aquatic resources is
the only pathway.’’ Johnson and Hard’s (2008) model of plant intensification
combined modeled growth rate with two of the effective temperature thresholds
recognized by Binford (2001, p. 267)—the storage threshold at 15.25 ET and the
terrestrial plant threshold at 12.75 ET—and projected hunter-gatherer dependence
on aquatic resources at the packing threshold to define intensification expectations.
By integrating knowledge of modeled population growth rates (Fig. 6), effective
temperature zones defined by Binford’s thresholds (Fig. 4), and regional knowledge
of availability of aquatic resources, it is possible to develop specific expectations for
regional variation in both probable timing of and most likely pathway for
intensification (Fig. 5). These, in turn, provide expectations for regional structure of
both spatial and temporal variation in the archaeological record.
The archaeological record is likely to exhibit more dramatic change in places
where hunter-gatherers shift from a mobile focus on terrestrial animals to a more
sedentary focus on aquatic resources, whereas places where plant-dependent hunter-
gatherers intensify on plants are likely to display gradual change in the
archaeological record. Regions that could support multiple subsistence strategies
may have particularly interesting variation related to the structure of resources
within the region. Binford (2001, pp. 363–433) developed numerous specific
propositions regarding variation under intensification and the evolution of specific
system states.
Pacific Rim
Due to anthropological interest in complex hunter-gatherers and exploration of
different patterns of long-term culture change, researchers working around the
Pacific Rim from Japan to the coast of California have been exploring variation in
the subsistence, settlement, and social organization of prehistoric hunter-gatherers
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and, particularly, long-term sequences of culture change from this region in a
broadly comparative way for several decades (Fitzhugh and Habu 2002; Habu et al.
2003; Koyama and Thomas 1981). Initially, this comparison began with a question
about how to explain differences in the intensification trajectories between
California (no prehistoric agriculture) and Japan (transition to rice agriculture)
(Koyama and Thomas 1981). Recent research has focused more on variation and
change over time among prehistoric hunter-gatherers in general (Fitzhugh and Habu
2002), and in particular around the Pacific Rim (Habu et al. 2003). Ethnographically
documented cases have often served as models that inform archaeological
interpretation.
Fitzhugh (2002, 2003) has developed a sophisticated conceptual model, with
specific predictions for archaeological patterns related to each phase. Increasing
regional population density clearly drives the first three phases in this model.
Competition for control of productive patches serves as the basis for the
development of social complexity. The model is designed to ‘‘apply anywhere
that hunter-gatherers colonize a highly seasonal and patchy environment’’ (Fitzhugh
2003, p. 16).
The generalized model (Fitzhugh 2003, pp. 17–21) is based on evolutionary
ecology to structure individual decisions and is driven by the process of
demographic filling of a region, necessary technological change, and later changes
in sociopolitical organization. The model recognizes five phases: expansion as
people move into a new region, change in strategy based on mobility constraints
when a region is filled, advances in technological efficiency for low-ranked
resources and population growth, emergence of sociopolitical complexity, and
consolidation of power in association with greater integration and diversification of
roles within society. Unlike many early models of change over time, this is a
multidimensional model that recognizes the possibility for organizational change
among hunter-gatherers absent environmental change. Specific predictions of the
model are then used to inform discussion of the archaeological record of the Kodiak
Archipelago.
Fitzhugh’s focus on modeling general evolutionary process yields predictions
about a basic pattern of change over time that could be seen in any highly seasonal
and patchy environment. Specifically, this model should be most relevant in
ecological settings like those mapped as pattern 5 in Fig. 5. These settings all have
highly seasonal environments. They vary in the degree of seasonality of particular
resources and in the degree of patchiness and productivity of these resources. With a
standardized measure of these ecological dimensions it might be possible to isolate
the specific ecological conditions under which more complex social organizations
arise among hunter-gatherers. The existing hunter-gatherer frames of reference are
focused on measuring terrestrial productivity, but it seems that there would be
significant learning potential from the development of parallel measures of marine
and aquatic productivity.
This is one research domain where it could be particularly productive to integrate
models based on global-scale ethnographic comparison of hunter-gatherer organi-
zation and those based on recurring patterns of change in the archaeological record.
Ethnographic studies provide context about dimensions of variation (including
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environmental dimensions) in the context of hunting-gathering that condition wealth
differentiation and social stratification [see discussion of generalizations from
Binford (2001) above]. The most difficult challenge for testing expectations
regarding patterns in change over time in the archaeological record may well be the
development of our ability to measure population density archaeologically.
Controlling for population density
One of the most promising directions of recent research for measuring prehistoric
population density proposes strategies for correcting anthropogenic radiocarbon
frequencies for taphonomic bias (Surovell and Brantingham 2007; Surovell et al.
2009) to yield reliable measures of prehistoric human demography. The results yield
a relative, but not an absolute, measure of human population density in a region.
One lesson we have learned from global studies of variation among hunter-
gatherers is that the population-density threshold at which subsistence strategies
begin to change, particularly where hunter-gatherers are initially primarily
dependent on terrestrial animals, is much lower than most archaeologists would
imagine. Thus, although many archaeologists focus on changing environmental
variables leading to change in hunter-gatherer adaptations, in most regions of the
world it is much more likely that even small regional increases in population density
are responsible for the most significant shifts in these adaptations, particularly
during the Pleistocene–Holocene transition (Johnson 2008). Yet rigorous testing of
propositions about the impact of relatively small increases in population density on
settlement and subsistence strategies would demand both accurate and precise ways
of measuring absolute population density.
Another research domain that could yield rapid growth in both our knowledge
and analytical abilities is the search for density-dependent patterns, controlling for
key dimensions of environmental variation, in archaeologically recoverable aspects
of material culture. Preliminary research suggests that controlling for basic
dimensions of the environment [like effective temperature and the biomass
accumulation ratio of the plant community (low in deserts and grasslands, high in
forests)] reveals density-dependent patterns in hunter-gatherer housing construction
that could be used to diagnose archaeological population densities in most
environmental settings (Harrill 2006). If similar global-scale, environmentally
structured, density-dependent patterns could be developed using other archaeolog-
ically measurable dimensions of technological or site structural variation among
recent hunter-gatherers, we may be able to develop enough independent clues that
we could make strong inferences about likely levels of population density in the
archaeological record. Combined with new strategies for measuring relative human
population density, it may eventually be possible to calibrate relative measures
given knowledge of ethnographically established density-dependent thresholds.
These tools, if we can develop them, could propel the study of variation among
ancient and modern foragers to a new level of truly predictive modeling and model
testing. Models that serve only for refined interpretation do not allow us to learn
new things. Developing strategies for testing those models encourages us to learn
the limits of our current knowledge and to design research to extend that knowledge.
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Such testing will not always require large-scale or long-term fieldwork. The
descriptive record of hunter-gatherer archaeology in some regions is likely to be
sufficient for testing some propositions. In other regions, testing may have to wait.
However, knowing what would be expected given global and regional patterns of
variation could productively guide archaeological research in such regions.
Conclusion
This paper had two major goals: (1) to review empirically established patterns of
macroecological variation among archaeologically and ethnographically docu-
mented hunter-gatherers and (2) to suggest a hierarchical strategy for using frames
of reference to situate research questions, first at the global scale and then at the
regional scale, to maximize the learning potential of future research on hunter-
gatherer variation. It is sobering to think that just as we are beginning to use our
knowledge productively to learn about hunter-gatherer variation at multiple scales
of analysis, hunting-gathering is fading into the past as a viable way of life and
much hunter-gatherer archaeology is threatened by increasing scales of develop-
ment and urbanization in many parts of the world (Price 2002). Nevertheless, the
recent growth of knowledge in this field has produced fascinating patterns that
demand further exploration, greater understanding, and future explanation. The
utility of global and regional frames of reference that organize relational data on
many aspects of hunter-gatherer organization and material culture together with
numerous environmental variables is only beginning to be realized. There is
enormous potential in the near future for both the development and the testing of
theory that can explain variation among ancient and modern foragers.
Acknowledgments I thank the editors Gary Feinman and Doug Price for the invitation to contribute to
the Journal of Archaeological Research and for their patience in waiting for the finished manuscript. The
work of Lewis R. Binford (1931–2011) is both the inspiration and the foundation for this exploration. As
a professor, he challenged me to think in ways no one else ever has. As a colleague, he modeled scholarly
dedication to his profession and provided intellectual companionship and professional encouragement.
This paper has benefitted greatly from comments by Iain Davidson, Peter Peregrine, four anonymous
reviewers, and the careful attention to editing text and figures provided by Linda Nicholas. Any errors in
fact or logic are mine.
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