The evolution of complex hunter-gatherers
on the Kodiak Archipelago.
In Hunter-Gatherers of the North
Pacific Rim: Papers presented at the Eighth International
Conference on Hunting and Gathering Societies (CHAGS 8) Aomori and Osaka,
October 1998, SENRI Ethnological Reports, edited by J. Habu, J. M. Savelle, S. Koyama, and H. Hongo.
63:13-48 (2003).
Ben Fitzhugh
Assistant Professor
Department of Anthropology
M32 Denny Hall,
fitzhugh@u.washington.edu
ABSTRACT
This article presents a
model for the emergence of complex hunter-gatherers and evaluates it with
archaeological evidence from the Kodiak Archipelago in the Alaskan North
Pacific. Taking a socio-ecological
perspective grounded in evolutionary ecology, the model makes predictions about
the evolution of increasingly sedentary and aggregated hunter-gatherer life-ways
and the emergence of institutionalized social inequality, prestige economics,
warfare and elite trade on the
The Kodiak trajectory is
not unlike many other North Pacific prehistoric sequences, and it provides a means
for evaluating common arguments about the causes of emergent complexity and
social inequality. The long interval
between colonization and the establishment of significant levels of complexity
calls into question models that suggest resource abundance is a necessary and
sufficient condition for emergent complexity.
On the other hand, scarcity is also an insufficient motivation for
organizational complexity. Rather, as is
argued here, the emergence of complexity requires a variable landscape with
productive, stable and defendable resource patches punctuated by less
productive and stable zones. The Kodiak
case illustrates the importance of technology and demographic characteristics
in the creation of such an environment. Ultimately,
it is political competition (physical and symbolic) and not a direct form of
population pressure that facilitates the establishment of ranked and stratified
societies.
In explaining the Kodiak case, I resurrect several “war horses” of social evolution: population growth, intensification, circumscription, sedentism, storage, and warfare. Unlike previous models, however, the Kodiak model is informed by evolutionary ecological principles that escape many of the more critical failings of the older models that it echoes. In the present case, social evolution is seen as the result of individually motivated behaviors. In this, my model is similar to recent attempts oriented in practice theory. Unlike these approaches, however, my model situates the direction of change in a universal biological propensity to pursue reproductive fitness through behavioral adjustments in a spatially and temporally variable environment. Explaining the evolution of complex hunter-gatherers becomes a matter of identifying the ecological (social and physical) conditions under which self-interested individuals would find it most advantageous to compete for status, attempt to control or amass resources, willingly undergo subordination, or undertake any other potentially hazardous position in an evolving social system.
I. COMPLEX HUNTER-GATHERERS
In the two decades following the publication of Affluent Foragers, the study
of complex hunter-gatherers has expanded [see ARNOLD 1996a, 1996b; PRICE and
BROWN 1985; PRICE and FEINMAN 1995], and scholars are increasingly interested
in variation in past and present hunter-gatherer economies, social
organization, and political structure [e.g., KELLY 1995]. With this increased awareness, there have
developed two related goals for hunter-gatherer study. The first is the desire to describe and
explain the evolution of social and political complexity within hunting and
gathering evolutionary trajectories. The
second and broader goal is the integration of hunter-gatherer social evolution
into general and inclusive anthropological models of social change [see
The first goal has led hunter-gatherer specialists to turn to historical and
comparative data-sets to systematize hunter-gatherer variation and put that
variation into processual or evolutionary
relationships, where possible. This
paper provides an example of this approach, in that my primary goal in these
pages is to evaluate a model for the evolution of increasingly complex hunter-gatherers
with a temporal record from one location (
The second goal, of integrating hunter-gatherers into general evolutionary
models, has generated some controversy as hunter-gatherer researchers have
claimed more significant roles for their subjects in trajectories of general
cultural evolution [see ARNOLD 1996a, 1996b; FEINMAN 1995; PRICE and BROWN 1985]. Proponents of traditional models that view
food production as the key to emergent complexity find it difficult to make
room in their models for hunter-gatherers with high population densities,
sedentary residence patterns, stratified and hierarchical social structures,
sophisticated military organization, or private property. Or perhaps more accurately, they find such
occurrences insignificant in the face of "general cultural evolution"
[sensu SAHLINS 1960] and the evolution of states and
empires.
This paper seeks to address the second goal through demonstration that
significant change in the direction of cultural complexity can and has occurred
in this as in other cases of hunter-gatherer social evolution. It is not my goal, however, to argue that all
"more complex" societies, necessarily passed through a "complex
hunter-gatherer stage", nor do I wish to imply that the complexity
observed among the Kodiak Alutiiq and their neighbors around the North Pacific
Rim is somehow comparable to "complexity" as often attributed to so-called
complex chiefdoms and states. The
confusion that has arisen with "complex hunter-gatherer" studies most
likely relates to different usages of the complexity concept.
Definitions
I believe that a truly processual model of social
evolution must recognize that complexity is not a threshold characteristic, but
a scalar one. And for the purposes of
this paper, I define emerging complexity as a demonstrable trend towards
increased social integration and social differentiation within a single
historical trajectory or cultural lineage.
Social integration is generated by increased economic, social, and
political interdependence, and can be measured with reference to such factors
as co-residential group size, coordinated land-use patterns, specialization and
exchange. Social differentiation relates
to variation in horizontal and vertical dimensions of status and power. The horizontal dimension can be tracked with
reference to patterned variation in tool assemblages, features, activity
locations, and evidence of craft specialization. The vertical dimension is measured through
variation in the quality and quantity of materials across populations (at
several scales from household to village to region). While many of these measures reach their
greatest expression only among agricultural populations, hunter-gatherers have achieved
greater degrees of complexity than has been recognized in the past.
One point of divergence between my view and those of others common in the
literature on emergent complexity is the notion of thresholds.
I note also, that while social inequality is a component of complexity as I
have defined it (embedded especially in the concept of social differentiation: see
also Johnson [1982]), social inequality is NOT synonymous with complexity. Recent treatments of emergent complexity,
especially with regard to the evolution of complex hunter gatherers, have
focused more on the evolution of institutional inequality and social hierarchy
than on the broader issue of complexity [e.g., AMES 1994, 1995; ARNOLD 1993, 1996b;
HAYDEN 1994; MASCHNER 1991, 1992, 1997; MASCHNER and PATTON 1996; PRICE and
FEINMAN 1995]. This may reflect a
general feeling that complexity is too messy a concept to be analytically
useful, as it embraces a number of economic, social, and political variables
whose internal relationships are as yet poorly understood. The change also certainly derives from a
general shift away from systemic questions to questions of agency and power in
social evolution [see BRUMFIEL 1992]. Breaking
emergent complexity into its component variables and seeking to explain each on
its own terms is pragmatic [see FITZHUGH 1996]; giving priority to any one
variable by fiat of definition, however, is likely to be misleading. Given that political structure can influence
social and economic relationships as readily as the reverse,
a holistic view of emergent complexity is to be preferred over an exclusively
political one.
Critical Variables in the Emergence of Complexity
A host of variables have been proposed in processual
models of emergent complexity [see BURCH and ELLANA 1994: 220-221]. These include, among others, population
growth [CARNIERO 1970; HAYDEN 1994, 1995], population pressure [COHEN 1981, 1985;
KEELEY 1988], shifts in patterns of residential and logistical mobility (including
sedentism) [BINFORD 1980; KELLY 1991, 1995], development
of storage mechanisms [BARNARD and WOODBURN 1988; TESTART 1982; WOODBURN 1982],
resource abundance [HAYDEN 1994, 1995], environmental variability [HALSTEAD and
O'SHEA 1982; SCHALK 1977, 1981; YESNER 1994], information management [AMES 1981,
1985; JOHNSON 1982], warfare [COUPLAND 1988], and control over non-kin labor [ARNOLD
1993, 1996a, 1996b; HAYDEN 1995]. Some
models have emphasized group-level adaptation to environmental stress, while
others have posited internal conflict and competition [FITZHUGH 2000]. Summaries and comparisons of these models can
be found in
My approach to emergent complexity on the Kodiak Archipelago draws deeply on
a number of previous models and most of the variables mentioned above. In the pages that follow, I will outline
aspects of a model for the emergence of increasing economic, social and
political complexity of hunting and gathering populations along the
II. MODELLING EMERGENT COMPLEXITY
FOR THE NORTH PACIFIC RIM
The model outlined here addresses two dimensions of emergent complexity: economic
(integration and diversification of subsistence pursuits and the emergence of
symbolic currencies or "prestige economics") and socio-political (integration
and differentiation of members of social groups). While these two dimensions are not locked
into a deterministic relationship, they are integrally connected.
1. Expansion phase:
For some period of time after a population colonizes a relatively productive
habitat, populations should grow and expand across the landscape until reaching
a point at which resource return rates diminish substantially and/or population
densities inhibit mobility [ERLANDSON et al. 1992; cf.,, DUMOND 1965; ROGERS 1992;
VOLAND 1998]. The expansion phase should
be relatively protracted for these hunter-gatherers whose fertility and
mortality are conditioned by seasonal resource impoverishment and the absence
of storage strategies for extending resources through the lean season. Spatio-temporal
variability in resource productivity and the vulnerability of particular
patches to predatory depletion would be dealt with by means of logistical and
residential mobility during the expansion phase [FITZHUGH 2002; see also
BINFORD 1980; BROWN 1985]. During this
period, the most significant challenges to the colonizers and their descendents
would be mastering the new environment and adapting or innovating technologies
and strategies appropriate to it. So
long as expansion into adjacent territory is relatively inexpensive (patches
are close together and similar to each other), there should be little pressure
for evolutionary changes in the degree of economic, social, or political
complexity.
Predictions for the earliest stage include low population densities (low
site densities), small co-residential group sizes (small sites), and mobility
dictated by foraging concerns and unconstrained by human population density. Residential mobility could be low or high,
depending on the productivity and sustainability of logistically accessible
patches, but should be relatively high during seasons of low productivity in
the absence of substantial storage technology [FITZHUGH 2002]. At an archaeological scale, I expect to find
people maintaining maximal flexibility to move to previously uninhabited
locations, which should be reflected archaeologically through a lack of
evidence of energetically expensive non-portable facilities and technologies.
2. Effects of circumscription
All populations can be expected to grow when unconstrained by resource
availability (variability) and territory in which to expand. However, once constraints are realized, two
of the first changes should be a contraction of foraging ranges. Foraging patches (especially those with high
ranked prey) and settlement locations should be re-used more often and more
predictably by the same groups compared with the expansion phase.
Increased foraging pressure should lead to resource depression (decline in
productivity as a result of predation) of slowly reproducing species, which
also are typically the larger and more highly ranked species in mobile hunter-gatherer
diets [BAYHAM 1979; BROUGHTON 1994; GRAYSON and CANNON 1999]. When slowly reproducing species are over-harvested,
they also tend to become unstable [WINTERHALDER et al. 1988], and predators
will experience increasing variability in returns over time. This effect will be amplified for predictably
located and isolated populations of high ranked prey patches. Over time, predation could diminish the size
of these populations to the limits of viability or, alternatively, force them
to relocate in areas less accessible to human predation [see HILDEBRANT and
JONES 1992]. Either development would adversely
affect foragers, exposing them to more frequent but unpredictable declines in
resource harvests.
While decreased mobility is known to increase the fertility of
reproductively aged women in certain contexts [KELLY 1995: 256], other factors
are likely to work against significant population growth at this point. Life history models show that individuals
will often shift reproductive strategies when subsistence opportunities are
limited, choosing to invest in the survivorship of fewer offspring [VOLAND 1998
and references]. This effect is matched
by decreased fertility and increased mortality under conditions of increased
nutritional stress [ELLISON 1994; KELLY 1995: 249-250; WILMSEN 1982]. The end result is reduced population growth,
which may or may not stabilize at some equilibrium size [ROGERS 1992;
WINTERHALDER et al. 1988; WOOD 1998].
When high-ranking resources decrease in availability, hunter-gatherers
typically expand their diet to include resources of lower post-encounter return
rate [KAPLAN and HILL 1992]. Optimal
foraging models specify the economic logic presumed to underlie shifts in diet
breath [WINTERHALDER and SMITH 1981; KAPLAN and HILL 1992]. One result of the inclusion of lower ranking
resources into the diet with resource depression of higher ranked resources is
an incremental shift to species that commonly can better withstand predation,
but that have higher individual processing costs [see HAYDEN 1981]. Without modifications in harvesting and
processing technology, these species are more expensive to harvest than higher
ranked resources, and for this reason, expanding diet breadth cannot by itself
relieve constraints on forager population growth. It will, however, help to buffer populations
from the increased exposure to variability in returns of high ranked resources,
tending to dampen oscillations in forager populations and supporting the
establishment of an equilibrium population size.
While economic inequality can emerge in low density populations where stable
and productive resources are clumped and defendable [see LEGROS 1985], the
absence of methods for producing and/or extending productive resources for the
winter would tend to diminish the utility of resource hoarding or defense. Occasional winter residential mobility (within
the newly confined range) would remain a better strategy for buffering spatio-temporal resource failure, and sharing would
probably be encouraged as well [see BLURTON JONES 1987; HAWKES 1992; HALSTEAD
and O'SHEA 1989; WINTERHALDER 1986, 1996.]
Several predictions arise for this phase of the model. 1) Range contraction and decreased
residential mobility (repetitive re-use of camps and foraging patches) should be
apparent as an increase in durable constructions and non-portable technologies. 2) Resource depression should be observed in
the faunal record of larger mammals (especially those predictably located in
clearly defined locations; e.g., sea mammals), with an increase in the relative
dietary contribution of smaller prey of higher processing cost [BROUGHTON 1994]. 3) Site deposits should be thicker and more dense due to a greater frequency of site re-utilization
and increased intensity of site construction.
4) No significant change of residential group size is expected, because
this size is controlled by the limits of resource productivity within limited
ranges during lean seasons. Aggregation
for social purposes would be most likely during summer months when resources
are sufficiently plentiful to support such gatherings [WOBST 1974]. Aggregation sites might include evidence of
multiple portable dwellings, and could include evidence of a core population of
more permanent residential structures belonging to the host group. 5) No significant evidence of mass harvesting
or storage should be observed. And 6) I
expect little evidence of vertical social differentiation (house size
variation, etc.), competition (military tools or installations), or prestige
symbols (elaborate ornamentation, monuments, labor-intensive crafts).
This state of affairs could persist indefinitely with little change in
subsistence economy, population densities, social integration or
differentiation. On the other hand, I
have argued elsewhere that people tend to be more prone to inventiveness when
they find themselves increasingly vulnerable to variance in subsistence returns
[FITZHUGH 2001], as they would with increasing social circumscription. While many innovations are likely to fail,
the tendency towards increased inventiveness in times of stress should lead
often to technological evolution [see DUMOND 1965]. And it is technological evolution (defined
broadly) that is needed to promote further economic, social and political
complexity.
3. Advances in technological efficiency and population growth
Storage is a reasonable alternative to mobility in maintaining access to
resources of synchronized and predictable temporal variation, especially at the
annual or sub-annual scale [cf., GOLAND 1991; O'SHEA and HALSTEAD 1989]. But to extend resources effectively through a
lean season, techniques must be available to harvest sufficient resources
during the productive seasons [cf., TESTART 1982; WOODBURN 1982]. Short-term strategies might include increased
effort in foraging at a loss of efficiency (labor intensification [BOSERUP 1965,
1981; see BROUGHTON 1994]) and technological modifications that increase the
efficiency of foraging (technological intensification). In the longer term, however, intensification (in
labor or technology) on slowly reproducing species (e.g., seals and sea mammals)
would accelerate resource depression [cf., BROUGHTON 1994] and risk throwing
the foraging population into a demographic crash [see WINTERHALDER et al. 1988]. Technological changes that reduce the effects
of resource depression by altering the foraging efficiency of small,
aggregated, and rapid recruitment species ("r-selected" species like
salmon and herring) would support a shift to a storage-based approach and
simultaneously increase the potential for increased population densities. The development/adoption of mass-capture
technologies and rapid processing methods would accomplish such a restructuring
[MADSEN and SCHMITT 1998; cf., HAYDEN 1981].
This will in turn support the establishment of more sedentary
settlements, and the development of larger co-residential units ("villages")
for the first time.
From this I predict that any increase in population density (recorded in
increased contemporaneous sites densities and/or site sizes) will only occur
after the development of mass-capture and mass-processing techniques focused on
the harvesting and storage of aggregated and sustainable resources. Around the North Pacific, salmon, herring and
other schooling fish are likely targets for technological intensification [SCHALK
1977, 1981]. For the first time,
settlements should expand in size and include larger numbers of structures.
4. Risk and the emergence of socio-political complexity
One common feature in models of increased social inequality is the assertion
that subordinates should participate in systems of disenfranchisement only if
such participation is deemed to be the best of available alternatives [BOONE 1992;
CLARK and BLAKE 1994; GILMAN 1991]. Where
potential subordinates are able to "vote with their feet" and escape
to environments with greater opportunities or 'vote with their hands' and
refuse to support 'aggrandizers' or even depose them [cf., BOEHM 1993, 1999],
inequality should be kept to a minimum. Only
where resources are structured in such a way that they can be controlled and
defended can we expect people to tolerate subordination. Such an environment is said to be despotic [BOONE
1992; VEHRENCAMP 1983].
Realization of a despotic environment requires a landscape characterized by
a resource distribution with considerable spatial variability in the
productivity and stability of resources [DYSON-HUDSON and SMITH 1978]. It also requires that the more productive
patches and/or technologies be controlled and defended by a subset of the
population. Growing population densities have the effect of increasing the
structure in the environment by increasing the costs involved in moving from
one area to another and increasing the intensity of competition over
particularly attractive patches. If not
curtailed by the limits of patch productivity (average yield) and stability (variance
in yield), the end result of increased population density and patch competition
is unequal access to quality resources. This
is a situation in which those controlling the better resources have a
distinctive advantage in competing with those who do not. Competition of this sort is called contest
competition [BOONE 1992]. Under these
conditions, disenfranchised individuals have the choice of leaving (if there is
anywhere to go) or trying to gain access to controlled resources through
competition or subordination. As defined
in micro-economics and evolutionary ecology, risk is exposure to unpredictable
variability in some outcome [FITZHUGH 2001; WINTERHALDER 1986, 1997]. In a despotic environment, some individuals (those
with access only to marginal resource patches) are exposed to greater risk than
others who control the better patches. In
certain conditions, the more risk sensitive people should be willing to
subordinate themselves in return for a reduction in risk [O'SHEA 1981].
In the early stages of developing inequality, I expect a considerable amount
of status competition between individuals and families intent on controlling
resource patches and avoiding disenfranchisement. With this development, tension should emerge
between the competitive and cooperative strategies of resource production. Extended families or even non-related
individuals might recognize benefits to cooperation in the harvest and control
of quality patches. Within these groups
competition should develop over rights to the dispensation of collective
products. Competition for control over
resources (and the status that would follow) could be expressed between
individuals, families, or villages. And
cooperation at these same levels could emerge as the unstable result of
political accommodations in defense against outside competitors.
Early in the process of emergent inequality, competition should be expressed
in two dimensions. First as kin groups
scramble to defend rights to the most productive resource patches, we should
see evidence of local rivalry. Larger
corporate-kin groups would have an advantage in this competition over resource
patches, and leaders best able to coordinate their kin into competitive
factions would bring the greatest success to themselves and their corporate
group. Within the kin group, rivalry is
expected between potential leaders, with this rivalry eventually leading to an
established system of social ranking. Stability
in the ranking system will depend on the ability of resource controllers to
maintain control of their estate (resource territory) and their social group.
Note that population density and a spatially patchy environment are the
underlying variables leading to political hierarchy, not population pressure or
universal resource stress [cf., COHEN 1977; KEELEY 1988] (although some members
of the population do need to be ecologically disadvantaged to tolerate
subordination), and not uniform abundance [cf., HAYDEN 1994, 1995] (although
some members of the population must have differential access to relatively
stable and productive patches).
Prestige economies can emerge in the context of differential control over
resources and incipient status differentiation, as individuals seek a currency
that can advertise relative competitive ability. Evolutionary ecological models of costly-signaling
seek to account for this phenomenon [BOONE 1998; NEIMAN 1997; SMITH and BLEIGE-BIRD
2000; VEBLEN 1953]. These models
recognize that evolution can favor the development of symbolic currencies whose
sole reproductive benefit is the "honest" signaling of competitive
advantage. Where physical competition
over resources is energetically expensive and hazardous and where foregoing
competition is even more hazardous to reproductive potential, individuals will
benefit through their ability to predict the outcome of a contest prior to its
engagement. If distinctive differences
exist between the competitors, accurate reading of costly advertising will be
advantageous to both contestants, and the physical engagement can be avoided.
Where humans are involved in competition in a productive but patchy
environment, costly-signaling can lead to the emergence of symbolic economies
based in the production of elaborately decorated or exotic items with little
direct reproductive utility (in contrast to feeding more children, for example). Positive feedback can arise in such symbolic
competitions between competitors with roughly comparable resource holding
potentials. Displays of wealth,
elaborate feasts, give-aways, and public destruction
of property are mechanisms that serve to advertise competitive abilities. Unequal kin group competitors would be
consolidated, and equal competitors at the local scale could establish mutually
beneficial political alliances. Intra-group
political coherence would nevertheless depend on demonstrations of military
effectiveness and endemic warfare should result at the regional level. This warfare could also contribute slave
labor to supplement production and fuel a developing prestige economy.
Individuals and groups unable to compete will be forced to subsist on
marginal resources and/or support the emerging elite in return for access to
food and defense in desperate times. At
the same time, elites must recognize some advantage in supporting subordinates. Labor is one of the few services that
subordinates could trade for food and defense that would be attractive to
elites engaged in productive competitions with other elites. The prestige economy creates a market for
labor in the production of surplus food, craft goods, and other commodities
that can serve as symbols of security and control. Therein lies the emergence of patron-client
relationships that solidify hierarchical social structures [see
5. Consolidation of power, expansion of integration and
diversification
Since the function of the prestige economy is advertising the productivity
and stability of the corporate group and its leadership (to attract/retain
followers and to reduce challenges- "costly-signalling"),
value should be attached to displays that demonstrate 1) group productivity (in
food and crafts), 2) aggressiveness (in raids, defense, and displays of
military prowess), and 3) regional political support (in continued access to "expensive"
trade goods). The prestige economy will
provide motivation for increased levels of subsistence production, warfare, and
trade (a positive feedback). In the
absence of an economy of this sort, despotic resource owners might have little
reason to support disadvantaged individuals, and could establish economic
inequality (in differential access to subsistence goods) without sponsoring higher
levels of social integration or complexity.
With the prestige economy, the value of labor increases to fund surplus
production above and beyond immediate subsistence needs.
Bravery in games, hunting, and warfare would also signal competitive ability
and further fuel the prestige economy. Warfare
in particular can result where individuals or groups of roughly equal
competitive ability skirmish over resource access or as a means of advertising
their power in a quest to attract subordinates.
Subordinates in turn would recognize an advantage in allying with the
most powerful elites. Such elites could
afford to offer better benefits, and their strong reputations would discourage
raids by all but the most audacious competitors [see HAYDEN 1995]. Warfare is expected to expand in scale as
neighboring elites find it advantageous to make political allies with an
expanding number of competitors. Such
alliances would be unstable because of the dynamic tension between elites and
their supporters and between potential allies/competitors. Endemic warfare thus develops both as a
product of physical competition over resources and labor, and as a way to
signal competitive ability.
The extent of inequality supported in the process described above will
depend on the degree of difference in the productivity and stability of
different patches. Where patches become
overexploited, they will become less predictable and a poor foundation for
competitive exclusion and ensuing inequality [see HAYDEN 1996]. On the other hand, if marginal environments
become more productive and stable (due to climatic or technological change, for
example), competition would decrease and inequality should also diminish. Thus,
inequality is contingent on a particular kind of productive control: control
over stable but defendable production. Unequal
control over resources also requires that those controlling the patch must
value increased productivity. Models of
hunter-gatherer sharing behavior have shown that surplus production is often
not worth defending if it can't be put to some particularly desirable use [BLURTON
JONES 1987].
In this phase of the expansion of systems of social inequality and socio-political
integration, rank and stratification should become solidified at the local
level, the scale of physical competition and defense should expand to the
regional level, and a developed system of craft production and trade in exotic
goods should be evident. Exotic and
labor intensive goods should be controlled by a subset of the population. Slavery can arise in this phase as an
outgrowth of endemic warfare and the labor market (fueling the prestige economy). As
Synopsis
This model suggests an ordered sequence of events in the development of
increasingly complex hunter-gatherer societies.
These include 1) colonization, expansion, 2) reduced foraging ranges and
territoriality, 3) technological changes to overcome seasonal variation,
increased population density and village aggregation, 4) increased structuring
of residential populations into corporate groups, localized competition,
emergence of inequality and ranking, 5) expansion of political alliances,
trade, and warfare, and the emergence of a system of symbolic value capable of
discriminating individuals on the basis of their access to resources, labor,
and networks of power.
While not specifically addressed in the model, changes in the physical
parameters of the environment (e.g., climate) should influence the trajectory
of change by making spatial or temporal resource variability either more or
less pronounced. At any stage of this
developmental process, subsequent steps could be retarded or the process
reversed. In environments of lower
seasonal or spatial variability and/or less defendable resource patches, for
example, different trajectories would be predicted [cf., BLANTON et al. 1996;
Hayden 1995].
III. CASE STUDY: SOCIAL EVOLUTION
ON
In the pages that follow, the model just outlined is explored using a case study from the Alaskan
Kodiak Archipelago that spans the 7000 year interval between the earliest known
archaeological remains to the Russian contact period near the end of the 18th
century. It is necessary to survey this
range to get an understanding of the pace of change and the variables involved
in the emergence of complexity in this case.
This case study draws on published reports as well as survey and
excavation research conducted by the author on the southeast side of the Kodiak
Archipelago between 1993 and 1999 [FITZHUGH 1996, 2001].
Environmental background:
The Kodiak archipelago is a tight cluster of islands in the northern
Ecologically, Kodiak has a fairly impoverished terrestrial flora and fauna,
in contrast to highly diverse and productive riverine,
littoral, and marine habitats. Vegetation
is dominated by subarctic tundra supplemented by
recent incursion of coniferous forest at the north end of the Archipelago. Only seven terrestrial mammals are known to
have been indigenous to the archipelago, and only a few of these were
economically important (bear, fox, otter, squirrel). In
contrast to the terrestrial environment but similar to North Pacific
coasts in general, high marine productivity supports seasonally abundant stocks
of fish (halibut, salmon, cod), birds (resident and migratory), sea mammals (seals,
sea lions, whales), and shellfish. Geographic
variation in stream flow, near-shore salinity, tidal range, and exposure to
wind and wave energy across short distances of coast result in a high degree of
micro-environmental variation and concentration of diverse resource patches in
close proximity. Seasonal variation in
resource availability adds a twist on this productivity and diversity, making
winter a particularly lean season in contrast to the summer glut.
Stage 0: Colonization
The oldest archaeological radiocarbon dates place people on the Kodiak
Archipelago just prior to 7000 calendar years ago [FITZHUGH 1996]. While earlier sites may remain undiscovered [
Stages 1-2: Making Hay and Going Hungry in the Garden of Eden: The
Kodiak prehistory is divided into three periods and five phases on the basis
of assemblage changes in artifact typologies and other characteristics (Table 2). The
Few
Based on intensive survey of the southeastern portion of the archipelago in
which a minimum of 10
Consistent with the vision of small, semi-nomadic groups, early
The suggested abandonment of tents around 2000 BC is significant as a
possible indicator of increased population density, reduced residential
mobility, and increased territoriality, as predicted at the end of a
colonization and expansion phase. Portable
structures are efficient for semi-nomadic groups seeking to maintain
residential flexibility. When
populations become sufficiently crowded, however, permanent facilities make
better investments. Durability,
insulation, and territorial claims are some of the anticipated benefits.
The semi-nomadic nature of the
The settlement pattern of
In summary, the
Stage 3: Density dependence, marginal gains, and technological change:
Early Kachemak
The Early Kachemak phase (1800 BC to 500 BC) is the least documented of the
prehistoric phases on Kodiak. Nevertheless,
recent research and publications have brought the Early Kachemak into clearer
focus [CLARK 1996, 1997; STEFFIAN et al. 1998].
Among other findings, this work has made a clear case for cultural
continuity between
Changes that occur during the early Kachemak are both technological and
structural. Toggling harpoon technology
entered the Kodiak tool kit with the beginning of the Kachemak period, and this
should have increased both post-encounter return rates for sea mammals and
hastened resource depression in these taxa. Two other technological changes appear to
have facilitated a restructuring of resource ranking and increased population
growth. The first of these is the
innovation of mass-harvesting technology in the form of nets. Flat, notched stones (shingles) show up early
in this phase and are ubiquitous throughout the Kachemak period (Figure 3). While
other forms of notched stones are seen throughout prehistory in low frequency,
Kachemak sites often contain hundreds of notched shingles in middens and on adjacent beaches [
Another notable technological change is the invention of the semi-lunar
knife, or ulu (Figure 3). This tool, compared to stemmed
knives of the preceding Ocean Bay II phase, would have decreased wrist strain
and increased processing efficiency. Such
a development would have provided a distinct advantage in the processing of
mass-captured resources with short pre-processing shelf-life. Herring and salmon could have been captured
in large quantities in nets placed off beaches and along streams from late
spring to fall. Efficient processing
techniques would make it possible to store some of these resources into the
lean months of late fall and winter. In
turn, winter would cease to impose as stringent a bottleneck on population
density.
Apparently these technological changes had the effects predicted in phase 3
of the model. First, we see evidence of
population aggregation in villages (thought to be occupied most intensively in
winter) [HAGGARTY et al. 1991]. We also
see a consistent shift in settlement patterns with significant settlements
established near stream mouths and along the larger rivers [FITZHUGH 1996, 2002;
Stage 4: Contest Competition and Incipient Inequality in the Late
Kachemak
The Late Kachemak phase on Kodiak fits the initial stages of emerging inequality
as elaborated in the model above. This
phase dates from about 500 BC to 1200 AD.
It witnesses the first significant development of elaborate artistic
decoration in a number of different forms.
The earliest evidence of 'expensive' bodily decoration is seen in the
manufacture and use of labrets worn in holes in the cheeks or lower lip. Most Late Kachemak labrets recovered are
fashioned out of coal ("jet") from sources on the Alaska Peninsula [STEFFIAN
1992a] and fashioned in styles that seem indicative of regional affiliation [STEFFIAN
and SALTONSTALL 1995]. This practice is
consistent with an emerging sense of the importance of group membership, an
expected development as social competition begins to intensifies.
Lamp decorations are also distinctive in the Late Kachemak phase. In contrast to the oil burning lamps of
earlier and later phases, Late Kachemak lamps often include intricate relief
sculptures of whales, body parts or seated figures. The labor investment involved and the highly
visual nature of Late Kachemak lamps is consistent with a costly-signaling
model of prestige competition. It may
also indicate the development part-time craft specialization in the production
of prestige symbols.
Two additional lines of evidence support the growth of social competition in
the Late Kachemak. First, we see the
development of a mortuary tradition indicative of the emergence of ancestor
worship [SIMON and STEFFIAN 1994; URCID 1994; WORKMAN 1992]. This tradition included the defleshing and partial reconstruction of some skeletons
which seem to indicate preservation and display of the dead. This practice can be linked to increased
attention to descent and claims over the importance of lineages. By Russian contact, Kodiak families had well-established
traditions for the preservation and display of important ancestors [HOLMBERG 1985:
49]. Based on the Late Kachemak mortuary
evidence, aspects of this tradition dates back at
least 1000 years.
Finally, towards the end of the Kachemak period, around 900 AD, we begin to
see evidence of localized warfare in the use of small defendable landforms [FITZHUGH
1996]. These sites are generally
composed of one to two semi-subterranean pit structures perched atop small,
steep-sided islands and promontories. I
recorded three such sites in the Sitkalidak Straits
region of southeast Kodiak, whose initial occupations were dated between 900
and 1200 AD. In comparison to the large
defensive villages established a few centuries later, these sites suggest the
development of localized inter-family competition.
While several lines of evidence indicate that the Late Kachemak was a time
of growing social competition and unrest, other evidence suggests that
institutional social inequality was at best weakly established during this
phase. Variation in house size is
commonly used to explore the development of social inequality [COUPLAND 1996]. Such analysis is based on the assumptions
that emerging elites will base their power on larger networks of co-residential
kin and non-kin, that larger structures are needed to
house these kin and support the productive activities of the group, and that
larger structures require greater labor inputs.
Large houses are thus both functional (as shelters for residential and
productive activities) and representative of the power of a household and its
leader (a reflection of costly-signaling).
Late Kachemak house-size variation, from a sample of 74 houses in 31 sites
in southeastern Kodiak, is unimodal with only slight
skewing towards larger sizes (Figures 4 and 5).
While some sites are quite large by this time with an excess of 22
structures, most sites are smaller (mean = 4 structures), and the structures
themselves are mostly only large enough to accommodate small, nuclear families. The sample does include a few significantly
larger houses, as might befit a few emerging elite households in this phase. Late Kachemak houses also add one feature
that reinforces the view of increased economic competition in this phase: they
often include corner alcoves well suited to the internal defense of stored
resources [JORDAN and KNECHT 1988; STEFFIAN 1992b; see WIESSNER 1982], as
expected where resource hoarding and competition replace sharing and mobility
as a mode of securing desired goods.
Stage 5: Consolidation of political power and inequality: the Koniag period.
Historically, the relationship between the Kachemak and Koniag
traditions has been a matter of debate [CLARK 1992a, 1992b, 1994, 1998; DUMOND 1988a,
1988b, 1994, 1998; HRDLICKA 1944; JORDAN and KNECHT 1988; KNECHT 1995; SCOTT 1991,
1992, 1994]. While the question of Koniag origins
remains unresolved, recent archaeological evidence has shown a greater degree
of continuity and gradual change than could support a rapid replacement
scenario [JORDAN and KNECHT 1988; KNECHT 1995; see FITZHUGH 1996].
With the Koniag period, beginning about 1200 AD
and continuing until Russian conquest in the late 18th century, political
competition expands and inequalities become entrenched. Three characteristics of Koniag
archaeology fit the model of increased complexity elaborated in phase 5 of the
above model.
First, this period witnesses a major change in residential organization. Houses shift from small one-room structures
with or without alcoves in the Late Kachemak to much larger multi-room
structures in the Koniag (Figure 4). This shift brings Koniag
residence in line with ethnohistoric accounts of
multiple family residence of 18 or more people in
single structures [LISIANKII 1814; see
A change in settlement patterns is also documented around
Whale hunting is notable as a high-risk hunting venture with uncertain
returns. While successful hunts were
doubtless a huge boon to community subsistence, I suspect the hunt evolved as
much for its potential to differentiate the competitive abilities of hunters (for
description of Koniag whale hunting see Crowell [1994]). The whale hunt would have provided a powerful
mechanism for status competition. Such a
competition was doubtless supported by community members eager for whale meat
and oil.
Warfare on Kodiak would have been another avenue for status competition, but
by the mid-Koniag period, all evidence suggests that
warfare (or at least defense) was a community, rather than a household, affair. Koniag defensive
sites, like those of Late Kachemak times, are situated on defendable cliff-faced
islands. Unlike their predecessors,
however, Koniag refuge sites are much larger, with as
many as 50 structures, and strategically situated for defense from distant
rather than local attackers [FITZHUGH 1996].
Ethnohistoric evidence [DAVYDOV 1976] indicates
that Koniag warfare was typically practiced against
distant enemies (some as far away as the
Finally, the Koniag period witnessed a surge in
population growth, no doubt supported by changes in technology that improved
salmon harvesting in rivers, whale hunting on outer coasts, and regional
specialization and exchange of staples across the archipelago and beyond [see
FITZHUGH 2001]. Estimates
of population for the Sitkalidak area, the Kodiak
Archipelago, and the
By the contact period, Koniag individuals claimed
ownership to most resources patches, such as sea mammal rookeries, salmon
streams, egg collecting islands, shellfish beds, and raw material sources (like
amber) [HOLMBERG 1985: 59-61]. They also
had traditions of inherited rank, competitive feasting, and supra-village
alliances [see FITZHUGH 1996: 25-42].
In general terms, the complexity observed in late prehistory on Kodiak was
paralleled by developments around the North Pacific at least from the central
IV. DISCUSSION AND CONCLUSION
If we scan the extent of Kodiak prehistory, we see a significant increase in
complexity through time, measured on several dimensions of complexity (economic,
social, political) and in both axes of integration and
differentiation. Kodiak inhabitants
started with relatively generalized technologies. Mass harvesting and processing of fish
appears to have been the single most effective change in Kodiak subsistence. To this we can add the development of a
prestige economy in the Late Kachemak phase that changes through the Koniag into a major inter-regional exchange network in
subsistence products, furs, rare minerals, labor intensive crafts, and slaves [BURCH
1988]. Warfare expands in tandem with
exchange from a localized interaction to pan-regional networks of allies and
enemies. In Koniag
times, we can see structural reorganization of residence patterns consistent
with a change in social organization and the emergence of institutionalized,
household based ranking. As on other
parts of the
The data presented here support the model outlined earlier in the paper for
the evolution of complex hunter-gatherers on Kodiak and in similar
circumstances around the
The Kodiak evidence can be brought to bear on several models of emergent
complexity and social inequality, which I will mention briefly here. A common claim of many modelers is that
productivity is a necessary and sufficient condition for the emergence of
complexity/inequality [e.g., HAYDEN 1995].
The long interval between colonization and the establishment of
significant levels of complexity in this and other cases makes any simple
relationship between complexity and environmental productivity unlikely [see
also ARNOLD 1996a: 98]. On the other
hand, absence of productivity would most certainly inhibit increased social
complexity. Circumscribed abundance
appears to be one critical factor [see BOONE 1992; MASCHNER n.d.]. As such, the evolution of inequality appears
to require the development of a geographical landscape structured by peaks and
valleys in productivity and resource stability.
Linked to this physical space should be an “adaptive landscape”
[sensu WRIGHT 1932] for which some individuals find
it rational to subordinate themselves in return for distributive benefits from
resource controllers, and where resource controllers find it rational to
control stable and productive resources through competition and defense. Such control doubtless depends on the ability
to organize supporters into competitive factions and will involve some
combination of generosity and intimidation [CLARK and BLAKE 1994; HAYDEN 1995, 1996]. Emphasis in some recent
models on corporate and networking modes of status competition also harmonize
with the Kodiak model presented here [BLANTON et al. 1996; HAYDEN 1995].
Two points must be made in closing. First,
while many recent models are consistent with the results reported here, older
models are also echoed in the Kodiak trajectory outlined. Most conspicuous perhaps is the role of
population pressure, realized through the prediction of resource depression in
early stages and structured patch competition in later stages. I find it difficult to escape the importance
of human demography in social evolution, but at the same time, it is important
to recognize that population pressure occurs in particular situations, and has
particular impacts on social processes.
For example, resource depression under egalitarian situations should be
experienced by all members of a group or population, and it could do little to
encourage inequality. On the other hand,
the development of despotic control over productive patches could lead certain
subgroups to experience resource scarcity while others do not. It is the degree of this separation that
should translate into willing subordination, where controllers can realize
benefits from patronage. The result
should be the development of a dynamic set of relationships between competing
elites and non-elites, that can promote prestige
competition and symbolic economies, warfare, feasting, and slavery. While
population pressure is present in this model, in no way does it insure a
progressive march towards complexity -- populations can and do remain stable or
decline in the face of environmental constraints. And it is far from a prime mover of the model.
Finally, a closing reflection on the topic of this paper and volume is in
order. In opening, I pointed out two
areas in which complex hunter-gatherer studies have been pursued. Perhaps equally significant has been a shift
away from studies of complexity to seemingly more tractable issues, such as
inequality [e.g., PRICE and FEINMAN 1995].
I regard this as a result of adjustment in theoretical focus from
systems and groups to individuals and their agency in evolutionary change [see
BRUMFIEL and FOX 1994; SMITH and WINTERHALDER 1992b]. I am firmly committed to seeking individual
level mechanisms in social evolution (be they biological or cultural), and I
worry about the messiness of concepts like complexity. Nevertheless, complexity remains a good
umbrella under which to observe the conjunction of social variability and
evolutionary process. While explanatory
models may sometimes require the disarticulation of economic, social, and
political dimensions, ultimately a full explanation requires that we look at
the contextual relationships between all of these.
ACKNOWLEDGEMENTS
This paper summarizes a
model and research originally compiled for my doctoral dissertation at the
A version of this paper was presented in a public session of the 8th
Conference of Hunters and Gatherers (CHAGS) in October 1998. Thanks to Junko Habu and Shuzo Koyama for
preparing and editing this volume. Ken
Ames, Laada Bilaniuk and Patrick Saltonstall provided
valuable suggestions for improvement.
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LIST OF TABLES
TABLE 1: Kodiak archaeological periods and common characteristics
LIST OF FIGURES
FIGURE 1.
Map of the Kodiak Archipelago, showing Sitkalidak Island, where the author has conducted surveys
and excavations since 1993.
FIGURE 2.
Variation in maximal lamp size between Ocean Bay and Koniag periods.
Kachemak lamps (not shown) are similar in size to Koniag
examples. Small lamps continue to be
made throughout prehistory while larger lamps appear first in the Kachemak
period. (lamps with SAS catalog numbers are in the Old
Harbor Native Corporation collection [on
loan to the University of Washington], other lamps are illustrated in CLARK 1979:
plates 3j, 23d, 24a).
FIGURE 3.
Technological change between Ocean Bay II and Early
Kachemak Periods. a) Late Ocean Bay stemmed ground slate knife from Clark’s
AFO-109 (shown in CLARK 1979: plate 19d). b) Terminal Ocean Bay and Early
Kachemak serrated-stemmed knife (schematic). c) Schematic of a semi-lunar knive (ulu), first used in the
Kachemak Period (portrayed with handle).
d) Notched beach pebbles/shingles, a dominant artifact type from the
Early and Late Kachemak phases.
FIGURE 4.
Comparison of Late Kachemak and Koniag
house form and size (examples represent actual configurations in two village
sites from Sitkalidak Island).
FIGURE 5.
Metric variation in Kachemak and Koniag houses
from the Sitkalidak region of Southeast Kodiak [FITZHUGH
1996].