The adaptve cycle is key to understanding resilience as an
integrated ecological and social construct.
The cycle is introduced elsewhere in this Web Log (http://besdirector.blogspot.com/2011/01/resilience-ecology-evolution-and.html) as well as
briefly defined in the BES Urban Lexicon (http://besurbanlexicon.blogspot.com/search/label/Adaptive%20Cycle). One of the key aspects of the cycle is the
movement of systems in a conceptual space defined by the accumulation of capital in the
structure of the system, and the increasing complexity of the system at the same
time (Figure 1).
Fig. 1. Capital and complexity as two axes of the adaptive cycle of resilience. r-K contrasts trace out the blue trajectory. |
Ecological Foundation of Increasing Complexity
As an ecologist, I find these these increases easy to understand,
since they parallel changes that have long been understood from ecological
succession. One of these shifts is based
on resource capture. Dominance of the
plant community shifts from species that specialize in the capture of resources
that are freely available in the environment, to dominance by species that
specialize in conserving the resources they have already captured. Think of fast growing, high
resource-demanding colonizing species or weeds, compared to slow growing,
resource hoarding trees that get by on modest fluxes of nutrients and light. This kind of contrast is labeled in both
plants and animals as r versus K strategies.
The biological contrast in complexity emerges from the similar
successional differences. For example,
later successional communities typically have a larger number of canopy layers,
as well as greater spatial heterogeneity.
These patterns result from the growth of long-lived canopy-forming
plants, insertion of lower layers dominated by shade-tolerant species, and the
emergence of species that spread clonally.
The massive, long-lived, and spatially extensive structures are good at
storing and allocating assimilated resources.
However, the slow growth rates and massive structures
associated with dominance in late successional comminities also make those
systems vulnerable to external disturbances, such as wind, fire, or disease
outbreak. The same species that manage
assimilated resources have evolved structures and processes that ill suit them
to deal with environments where resources are freely available. This is what sets up the adaptive cycle of
r-K shift with subsequent release and reorganization.
In social systems, accumulation of capital or wealth is a
familiar trajectory. Settlements are
often initiated in sites where resources or the opportunity to concentrate
resources is high. In such situations
the external resources, be they rich soil for crops, industrially valuable minerals, or fossil fuels for example, are initially untapped. As the
settlement accumulates more residents and built structure, it assimilates more
resources. Furthermore, urbanization is
associated with increasing capacity to assimilate and process more
resources. All this is expressed as
wealth embodied in the system.
Driving Complexity in Social Systems
But what strategic contrast might explain the shift in the
social complexity of the system? Joseph
Tainter's (1988, 2006) analysis of the collapse of social systems exposes the sources of social complexity.
The built structure of settlements clearly becomes more complex. In addition to raw density of structures,
often the height and heterogeneity of structures increases. Infrastructure to move people, goods,
resources, and wastes is developed.
Specialization of jobs and lifestyles emerges, and the demographic differentiation
of the population typically increases as residents are drawn from other settlements or different rural areas.
Of great importance is the elaboration of increasingly layered,
spatially extensive administrative and governance structures. Specialized knowledge and training echo the increasing administrative compelxity.
This suite of differences, along with many others,
consolidate into fixed, self-perpetuating structures that are initially
adaptive. As an already complex society
attempts to solve its problems it can only add additional layers or kinds of
organizational complexity. Yet, each new
innovation involves a cost that necessarily produces less return on the
investment. Thus, according to Tainter, the growth of
complexity in societies will trace out a curve of decreasing marginal return
over time. Once marginal return declines
to lower levels, the society is poised to disintegrate because the fixed investment
leaves the society vulnerable to such things as resource depletion, invasion, internal
unrest, or simply voluntary migration to a less burdensome region. Environment and resources play a role, but
the lens through which the crisis comes into focus is through the economics of
marginal return on investment.
Tainter’s model explains the social component of the “front
loop” of the adaptive cycle in social-ecological systems. Many analyses in the literature have focused
on the inertia and rigidity that result from high levels of social complexity
(Biggs et al. 2010). What Tainter
exposes is the mechanism for the increase in social complexity. Social complexity results from the
accumulation of incremental solutions to the problems that society
identifies. Such complexity may interact
with external and internal shocks of either social or biophysical origin to
either cause collapse or to generate adaptive reorganization.
References
Biggs, R., F. R. Westley, and S. R. Carpenter. 2010.
Navigating the back loop: fostering social innovation and transformation in
ecosystem management. Ecology and Society 15:Article 9.
Tainter, J. A. 1988. The collapse of complex societies.
Cambridge University Press, New York.
Tainter, J. A. 2006. Social complexity and sustainability.
Ecological Complexity 3:91-103.