Copyright © 2014 by the author(s). Published here under license by the Resilience Alliance.
Bush, S. R., and M. J. Marschke. 2014. Making social sense of aquaculture transitions. Ecology and Society 19(3): 50. http://dx.doi.
org/10.5751/ES-06677-190350
Insight, part of a Special Feature on Exploring Social-Ecological Resilience through the Lens of the Social Sciences: Contributions,
Critical Reflections, and Constructive Debate
Making social sense of aquaculture transitions
Simon R. Bush 1 and Melissa J. Marschke 2
ABSTRACT. Resilience deals explicitly with change and provides a middle ground between the social and the environmental sciences.
However, a growing critique by social scientists questions the ability of resilience thinking to adequately examine the social dimensions
of change. The question that emerges is how social scientists should engage with resilience. We addressed this question by comparing
resilience with agrarian change and transitions theory, through the backdrop of the fastest growing global food sector, aquaculture.
Our analysis showed that each theoretical perspective provides fundamentally different insights into social and environmental transition
inherent in the aquaculture sector. Although resilience thinking is best suited to assessing the ecological aspects of production, its
systems ontology limits the inclusion of dynamic social relations or innovation. In contrast, agrarian transition enables a more
meaningful understanding of how social relations are reconfigured as agrarian society shifts toward more capitalist modes of production,
and transitions theory provides insights into social process of innovation. Given the epistemological differences between these theoretical
approaches, we argue against attempts that reify systemic thinking by naturalizing social theories and concepts into resilience thinking.
Instead, we argue that social theories such as agrarian change and transition theory should be seen as complimentary and that integration
should focus on bridging results and insights. Doing so enables a more robust assessment of the social aspects of social-ecological
transitions in the aquaculture sector and beyond.
Key Words: agrarian change; aquaculture; Asia; resilience; social change; transition theory
INTRODUCTION
The emergence and rapid expansion of resilience thinking, based
largely on the new ecology of growth, decay, and renewal between
multiple equilibriums (e.g., Holling 2001, Gunderson and Holling
2002), has been met with cautious interest by social scientists.
Despite Adger’s (2000) early agenda for exploring the links
between social and ecological resilience, a clear delineation has
remained problematic. Critics highlight the epistemological
divide between the natural and social sciences, which hampers
exchange and collaboration (Miller et al. 2010). From a social
scientist’s perspective, this divide is underlined by the absence of
fundamental social questions of power and politics, such as
resilience by whom and for whom (e.g., Nadasdy 2007, BeymerFarris et al. 2012, Davoudi 2012). Critics argue that without
recognizing the forces that define choice, panarchy and adaptive
governance remain prescriptive, deterministic, and unable to
elaborate social processes of change (Davidson 2010, Cote and
Nightingale 2012). Others have argued that resilience thinking
fails to adequately take into account human agency and suffering
(Turner 2013), as well as social processes of innovation (Moore
et al. 2012).
However, resilience is acknowledged, even by its critics (e.g., Cote
and Nightingale 2012), as providing a strong middle ground
between the social and environmental sciences. As Brown (2013)
argues, the malleability of the term adds to the strength of
resilience as a cohesive discourse in both science and policy.
Resilience as a body of thinking deals explicitly with change,
which is important given the rate, scale, and magnitude of
environmental change we face globally (O’Brien 2012). The
question remaining is how social scientists should engage with
resilience. Understanding this question requires taking stock of
what resilience thinking can offer social scientists, while also
considering other approaches that investigate and theorize about
social and environmental change. What do these approaches offer
that resilience-based, social-ecological analyses do not offer, or
1
Wageningen University, 2University of Ottawa
offer only weakly? If we understand these other approaches as
complementary, should they be integrated into resilience
thinking, or given the epistemological differences between
resilience and other social science theories (Miller et al. 2010),
remain as corresponding forms of analysis?
We address these questions by assessing how two alternative
bodies of social science literature, agrarian change and sociotechnical transitional theory, deal with the social aspects of
environmental change. These two approaches address change
from two distinct social science perspectives, posing
fundamentally different questions to the ecologically derived
notion of resilience. Agrarian change focuses on the transition
pathways by which agrarian society shifts toward a capitalist
mode of production, and how social relations that compose the
agrarian class are reconfigured through such a transition (cf.,
Scott 1985, Hart 1989, Li 1999, Rigg 2001, Rigg and Vandergeest
2012). So-called transition theory defines socio-technical
pathways of change through systemic innovation (Geels 2002,
Grin et al. 2010). Like resilience thinking, it is a based on notions
of multiple nested scales, is prescriptive in nature, and focuses on
normative processes of transition management (Van der Brugge
and Van Raak 2007).
To illustrate how these approaches address social dynamics of
social-ecological change, we compare them using the aquaculture
sector, that is, farming fish and other aquatic organisms.
Aquaculture is the fastest growing food sector (Bostock et al.
2010), providing economic opportunities through both domestic
and export trade (FAO 2012); in doing so, it contributes to global
food security and economic growth (e.g., Beveridge et al. 2013).
The interaction between the social and environmental dimensions
of aquaculture is largely determined by the use of technology and
how open the flow of water is between the farm and the
surrounding environment. Nevertheless, the rapid growth of the
sector over the last few decades has led to both social
marginalization and environmental degradation in coastal and
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inland areas (e.g., Stonich 1995, Flaherty and Vandergeest 1998,
Islam 2009, Polidoro et al. 2010). The complexity involved in
understanding these processes of social, technological, and
environmental change in aquaculture therefore provides rich
ground for comparing these theoretical approaches.
1989, Folke et al. 1998, Kautsky et al. 2000, Edwards et al. 2002,
Costa-Pierce 2010) state that understanding these patterns of
aquaculture expansion and the social and environmental change
they have engendered requires multiscale, integrated frameworks
of analysis.
In this paper, we consider what resilience thinking offers in
understanding complex social-ecological change before
examining the contribution of agrarian change and sociotechnical transitions theory. We purposefully selected these
theories: they both come from strong traditions of understanding
change processes in the social sciences and have, to varying
degrees, engaged with aquaculture. Other theories of change are
more fragmented in the literature, are not socially theoretical, and/
or have not dealt with aquaculture (e.g., Haberl 2001). Rather
than suggesting an integrative framework for adding specific
social elements into resilience thinking, we argue that these
theories may be used in tandem to provide a more robust
assessment of the social aspects of social-ecological transition in
the aquaculture sector and beyond.
Integrative understandings of aquaculture have predominantly
focused on the environmental impacts of aquaculture, which are
consistently listed as landscape change, including deforestation
and wetland conversion, poor water quality, indiscriminate drug
and chemical use, genetic dilution through escapees, use of wild
seed, poor fish protein conversion ratios, and intensive energy
consumption (see Folke and Kautsky 1992, Naylor et al. 2000,
Boyd et al. 2005, Bostock et al. 2010, Klinger and Naylor 2012).
In general terms, the degree of these impacts depends on the
location and intensity of the production systems, and
consequently how open or closed they are to the surrounding
environment (Bush et al. 2010, Costa-Pierce 2010). Intensive
production with high stocking rates and complete feeding poses
a range of disease and environmental risks when open to
surrounding ecosystems (Diana et al. 2013). However, closed or
“recirculated” intensive aquaculture systems still hold the
potential for a greatly reduced environmental footprint over the
long term, if these systems prove technically and economically
viable (Klinger and Naylor 2012). Given the importance of
aquaculture for economic development in regions such as Asia,
the tendency toward greater intensification not only raises
questions over technological innovation, but also about who will
have access, and where and under what economic and political
conditions.
THE AQUACULTURE TRANSITION
The rapid growth of aquaculture has made it the fastest expanding
global production system over the last 40 years (FAO 2012), and
it reflects the complexity of agro-food production (Belton and
Bush 2014). With respect to fisheries, this expansion also
represents a process of animal domestication and a transition
from hunting to farming (Natale et al. 2013). Aquaculture
produces half of the global fish destined for human consumption,
and up to two-thirds of aquatic organisms are produced in China
and India; it also contributes to the livelihoods of an estimated
117 million people, or 1.8% of the global population (see Bostock
et al. 2010, Valderrama et al. 2010, World Bank 2012, Beveridge
et al. 2013). In Asia, a region responsible for the majority of global
production (FAO 2012), rapid change is set against a backdrop
of transitional economies in which peasant producers with low
to moderate production intensities operate alongside semiintensive quasi-capitalist producers and superintensive industrial
farms (Belton et al. 2012). Despite this continuum of production
intensities, much of the ownership and labor in Asia remain at
the household level, i.e., family-owned and family-operated
farms, with fish being produced for domestic, regional, and export
consumption (e.g., Loc et al. 2010). Therefore, aquaculture
represents a food production system that has both benefits and
negative consequences for both human well-being and ecosystem
health.
However, questions of who participates in aquaculture
production, who drives innovation, and who ultimately benefits
reveal highly uneven patterns. The expansion of aquaculture
production and consumption is differentiated by species,
representing multiple related transitions. Four species groups,
penaeid shrimp, pangasius, tilapia, and salmon, dominate global
trade, predominantly from the global south to the global north,
but represent only 9% of global production (Belton and Bush
2014). This means that whereas attention to the industrialization
of aquaculture production focuses on these export species, the
vast majority of expansion, and social and environmental change,
is related to species domestically or regionally consumed in the
global south with different patterns of intensification and
industrialization. A variety of scholars (e.g., Folke and Kautsky
A small but growing body of social science research focused on
the aquaculture industry has started to address processes of
change and transition. For example, Hall’s (2004) work on boom
crops explores how the development of tropical shrimp
aquaculture has been dependent on changing access to and
control over key resources such as land and water. The rapid
expansion of aquaculture has also led others to look at transitions
from agriculture to aquaculture (Ito 2002), and the concomitant
inclusion and exclusion of producers in global aquaculture value
chains (Phyne and Mansilla 2003, Belton and Little 2008, Islam
2008, Tran et al. 2013). Others have looked at the wider political
economy of industry organization, including the effect of private
environmental regulation over producers (e.g., Vandergeest 2007,
Hatanaka, 2010, Belton et al. 2011a, Bush et al. 2013), and
comparative analyses of state support to industry expansion
(Phyne 2010). All of these studies focus on social processes that
enable and constrain decision making at the farm level, and
ultimately affect environmental performance, but are not
captured in the bounded social-ecological system ontology of
resilience thinking.
The expansion and intensification of aquaculture production, like
any other food production sector, also depend on processes of
technological innovation. Despite the importance of innovation
to the ongoing success of the aquaculture industry (see, e.g.,
Klinger and Naylor 2012, Diana et al. 2013), it remains poorly
understood. Studies have either focused broadly on the political
economy of sustainability transitions (Bush and Belton 2011), the
epistemological challenges and social consequences of different
ways of identifying problems associated with global regulation
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Table 1. Key characteristics and approach to social aspects of change.
Change
theories
Key characteristics
Approach to social aspects of change
Temporal scale
Major papers
Resilience
Links social and ecological systems, explicitly
emphasizing the dynamic interplay of any
system; views social-ecological systems as
complex, nonlinear, uncertain, and dynamic.
Roots in “new ecology.”
Examines agrarian change processes vis-à-vis
understanding shifts in labor and how this
impacts social dynamics. Transitions are seen to
take unexpected turns, with outcomes rarely
being understood from a simple reading of an
event. Takes a relational approach.
Conceptualizes transition as an outcome of a
complex interplay between dominant regime and
a set of competing niches, where actors influence
systems and vice versa. Brings in socio-technical
change and emphasizes sustainability.
Aims to predict regime shifts, threshold
points, and phase transitions so to better
manage transitions. Framework for
understanding nested scales, cross-scale
linkages, and scenario building.
Assesses who wins and who loses from
change processes. Provides a thick
analysis of the social dimensions of
transitions; emphasis on social dynamics,
capitalism, and the agrarian class.
Contemporary
Holling (1973),
Walker et al.
(2004), Folke et
al. (2010)
Contemporary,
but draws on
historical
processes
Hart et al. (1989),
Bernstein (2001,
2010), Rigg and
Vandergeest
(2012)
Focuses on micro-meso-macro interplay
to nudge transitions toward more
sustainable pathways. Technology is
regarded as a heterogeneous element, and
emphasizes the social processes of
transition and change management.
Rapid (e.g., 10
years), medium
(20-30 years), and
long term change
(50 years)
Rotmans et al.
(2001), Grin et al.
(2010)
Agrarian
change
Transitions
(Konefal and Hatanaka 2011), or the limiting processes of thirdparty auditing (Hatanaka 2013). Only a few studies have
attempted to explicitly describe innovation. Those that have
describe how successful innovation is dependent on networks of
social relations, which facilitate knowledge and sharing practicebased learning (Lebel et al. 2009). Building on this observation,
Giap et al. (2010) further explain that while water quality in
aquaculture systems is regarded as a technical and regulatory
problem, improvements are best understood through a social lens,
identifying knowledge arenas in which practical experience,
innovation, and specific expertise are brought together.
THEORETICAL CONCEPTUALIZATIONS OF CHANGE
Given the dynamism evident in the expansion of aquaculture,
there is a clear demand for integrated theoretical approaches to
explain the drivers and consequences of social and environmental
change, especially in vulnerable coastal regions such as Asia. We
are interested in how the social dimensions of change are currently
incorporated into integrated understanding, and what
opportunity there is for more precise explanation. Our theoretical
choices represent a selective, focused reading based on areas that
we feel warrant further analysis, namely, a more nuanced
understanding of human agency, social relations, and the role of
technology within the aquaculture sector. We begin by taking a
closer look at the social turn (Brown 2013) in resilience thinking
itself before examining what agrarian change and socio-technical
transition theory offer in terms of understanding selected social
dimensions of change processes (see Table 1).
Resilience thinking
Resilience thinking refers to a cluster of concepts relating to the
complex, nonlinear, and mutually enforcing processes within and
between social, ecological, and geophysical systems (Holtz et al.
2008). Based on the adaptive cycle, consisting of exploitation,
conservation, release, and reorganization (Gunderson and
Holling 2002), social resilience and ecological resilience are seen
to be coupled, expressing a linkage that emphasizes the dynamic
interplay between the human and ecological components of any
system (Berkes and Folke 1998, Folke et al. 2005). Such coupling
occurs at a local level, between specific sites and the surrounding
ecosystems, and at a global level, with feedback occurring across
spatial scales (Folke et al. 2010). It is further theorized, based
largely on ecology, that both external and internal conditions can
influence a system and cause regime shifts (Holling 1973,
Garmestani et al. 2009). Resilience theory provides a conceptual
framework to assess the relative merits of current versus
alternative scenarios, to consider the most favorable stability
domain of social-ecological systems, and to reduce risks
associated with selected development trajectories (Folke et al.
2010). Proponents argue that by making these options explicit,
decisions can be made to better manage transition processes.
Applied to the aquaculture sector, resilience thinking offers a
framework to understand different scales, from pond to
landscape, that are linked through the flow of water, disease,
economic opportunity, and human management (Bush et al.
2010). Indeed, aquaculture provided an empirical basis for earlier
resilience thinking (Folke and Kautsky 1989, Berg et al. 1996,
Folke et al. 1998, Adger 2000, Kautsky et al. 2000), and has been
more recently used to highlight the interrelationship between fish
farmers and fish stocks through patterns of resource exploitation
(Armitage and Marschke 2013) and wider processes of climate
change (Allison et al. 2009, Armitage et al. 2012). Resilience has
also been helpful in creating scenarios to assess change
trajectories, although resilience is less able to offer an analytic to
understand vulnerabilities faced by small producers or the
political, social, and economic system structures that constrain
or enable opportunities (Miller et al. 2010). The systems-level
nature of resilience thinking, which provides a broad heuristic for
living in a complex world, limits its utility in concrete decision
analysis (Anderies et al. 2013). Even so, scholars are increasingly
engaged with resilience thinking and are probing what the term
“social” means within social-ecological resilience (e.g., in this
Special Feature).
The social turn (Brown 2013) currently under way within
resilience thinking has led to a closer examination of the role of
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social learning in enhancing resilience (Olsson et al. 2006),
institutional transitions, and adaptive comanagement (Galaz et
al. 2008, Plummer and Armitage 2010), with transformation
requiring a commitment to novel, innovative approaches to
consider alternatives and possible futures (Schoon et al. 2011).
Resilient approaches recognize that fundamental change in a
social-ecological system will alter everyday practices,
relationships, norms, and values across social and ecological
scales (Chapin et al. 2010). However, defining desirable
adjustments and changes that enhance resilience is fundamentally
normative: resilience for some will lead to a loss of resilience for
others (Davoudi 2012, Brown 2013, Turner 2013). Resilience has
offered key innovations for understanding change management
by emphasizing flexible, adaptive institutions (Armitage et al.
2008a, Gelcich et al. 2010). However, it has been less able to deal
with the relationship between poverty and power, and how human
intervention may counter inequitable adaptive cycles (Davoudi
2012). As Turner (2013) notes, resilience diagnoses are either top
down, i.e., society as an organization, negating more inclusive
change processes, or laissez-faire, in the sense that competition
and creativity among actors provide a natural pathway to
resilience.
Although these critiques are not new (e.g., Nadasdy 2007, Leach
2008), scholars have still not found a way to adequately
conceptualize social dilemmas within this body of thinking, a
point highlighted by the wide range of attempts to incorporate
or match social concepts with resilience concepts such as wellbeing (Armitage et al. 2012), transformative agency (Westley et
al. 2013), and entrepreneurialism (Moore and Westley 2011).
Because resilience cannot incorporate the socially, economically,
and politically networked dimensions of globalization, it will
continue to face problems in providing explanations of change in
rapidly evolving sectors such as aquaculture that require an
understanding of regulation, power, and control (Armitage and
Johnson 2006, Miller et al. 2010). In short, resilience thinking
gives limited attention to the political-economic context in which
change occurs and does not adequately address socio-technical
processes of innovation that are inherent within the aquaculture
sector. Therefore, other theories that deal with these aspects of
social-ecological change appear necessary.
Agrarian change
Agrarian scholars examine change by understanding shifts in
control over capital and labor, and by assessing who wins and
who loses as a result of such change processes (Bernstein 2004,
2010). The agrarian question concerns (1) social relations and
forms of agricultural production that identify transition pathways
to (de)industrialization; (2) the position of social divisions of
labor in global commodity chains and markets; and (3) how places
of production are shaped by the relative strength of agrarian
classes in wider political structures, such as the state, and
processes, such as social movements (Bernstein and Byres 2001).
Classical agrarian scholarship has contextualized decisions for
agricultural intensification within a wider set of economic and
political relations (Scott 1985), refuting narrow explanations of
change that focus only on the benefits of green (and “blue”
aquaculture) revolution technologies (Hart 1989). More recent
studies focus on land grabbing, food regimes, the links between
governments and philanthropic institutions (Patel 2013), and the
long-term changes to rural modes of production at multiple scales
(Akram-Lodhi and Kay 2010).
Like resilience thinking, agrarian change illustrates processes and
events that are nonlinear, uncertain, and complex. Transitions are
acknowledged to occur in parallel (De Konick et al. 2012).
Applied to the aquaculture sector, agrarian change enables a
clearer understanding of the social implications that emerge with
intensification in the sector. Examples are the simultaneous
processes of depeasantization, with small-holder aquaculture
farmers moving into off-farm wage labor, and repeasentization
through those returning to aquaculture after a period away
(Belton et al. 2012). Moreover, because the agrarian change
literature takes both agency and power as main points of
departure, thereby providing a “thick” analysis of the social
dimensions of transition, particular attention is paid to the
structural dimensions and manifestations of power (Duit et al.
2010). For example, Hall et al. (2011) draw attention to how
powers of exclusion are exercised in the shrimp industry through
a combination of environmental rights, property, and territory.
Bernstein and Byres (2001) consider how processes of agricultural
modernization, such as mechanization substituting for labor,
reflect and stimulate class differentiation and struggle, a process
also seen in aquaculture (Stonich 1995, Cruz-Torres, 2000).
Agrarian change is therefore highly relevant for the aquaculture
sector, particularly given the engagement and divergent outcomes
of domestic and export markets, which affect control and access
to labor, land, capital, and environmental sustainability.
Agrarian change covers aspects of change that are not well
addressed by resilience thinking. In contrast to the systems
ontology of resilience, agrarian change takes a relational
approach that is less bounded within a particular ecological or
social boundary. Studies on the tropical shrimp aquaculture
boom in the 1990s, for instance, link local and global processes
by examining how market demand led to landscape change and
the marginalization of coastal communities (Stonich et al. 1997,
Vandergeest et al. 1999, Hall 2009). Agrarian change opens up
questions of material power and control over the environment
that contrast with the questions of risk, vulnerability, and
uncertainty that resilience thinking examines through coupled
social-ecological systems. Although resilience concepts are useful
in identifying how actors such as fish farmers are subject to wider
socio-political structures and environmental processes, these
concepts are at risk of depoliticizing processes of change, for
example, by neglecting the fundamentally political and cultural
construction of economies, by constructing agency only in terms
of a capacity to adapt rather than to resist (Evans and Reid 2013),
or by reducing the political to the “policing” of adaptation and
thereby diverting questions away from power and justice (Welsh
2013).
The strength of resilience is its capacity for systemic comparison,
predictive analysis, and the strong inclusion of ecological
processes. Indeed, it does this more effectively than agrarian
change. The concern of social scientists is the extent to which
social insights can be included in a systems-modeling perspective
in which cross-scale linkages, social learning, and the need for
diversity are effectively used, but not extended in any profound
way (Turner 2013). Therefore, agrarian transition is in many ways
better equipped to understand the social implications of
aquaculture-related transitions, including the social implications
of intensification and commercialization, and to address wider
questions of how aquaculture differs from agricultural modes of
production (cf., Fougères 2008). In doing so, agrarian research
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offers an opportunity not only to provide in-depth empirical cases
focused on the situated intricacies of local agency and the social
relations of power and control, but also to make wider links to
understanding the implications of policy processes for social and
ecological change.
Socio-technical transitions theory
The Dutch school of transition theory focuses on the influence
of long-term transformation toward socially and environmentally
sustainable societies in response to persistent problems, but with
a strong bias toward Western European societies (see Grin et al.
2010). A central way in which it is different from agrarian change
and resilience theory is the attention transition theory gives to
understanding processes of change in terms of innovation in
socio-technical networks. Transition theorists, who have a
strongly sociological focus, see technology as a seamless
component of social systems, making it attractive to
understanding production systems like aquaculture (based on
Hughes 1986). In doing so, they offer an additional perspective
for understanding how societies can be steered toward normative
goals such as sustainability, by analyzing retrospectively how
change occurs, complementing agrarian change (see Rigg and
Vandergeest 2012), and prospectively through the lens of
transition management, complementing resilience thinking
(Kemp et al. 2007, Westley et al. 2011).
Technology is regarded as a heterogeneous element in transition
theory, including not only hardware but also the mobilization of
natural, social, physical, or financial resources, construction of
markets, and new regulatory frameworks (Geels and Schot 2010).
Encompassing elements of sociological actor network theory (see
Latour 2005), transition theorists describe these heterogeneous
elements as a set of inherent associations between technical and
social aspects, and their use and functional application in specific
contexts (Rip and Kemp 1998). In this way, technology is not a
solution in itself, but a site for organizing and understanding rapid
(e.g., 10 years), medium-term (20-30 years), and long-term (50
years) change (Geels and Schot 2010). The classification of
transition horizons and pathways adds a more explicit time
element than that provided by either resilience theory or agrarian
change, and again draws attention to social processes of
innovation and change management, recognizing the tension that
exists between spontaneous and managed creativity.
The central organizing framework of this theory is the multilevel
perspective (Rip and Kemp 1998, Geels 2002, Geels and Schot
2010). Transition pathways are defined by the conditions of the
three levels, small-scale niches, medium-scale regimes, and largescale landscapes, with any shift in pathway explained by
innovation at another level, i.e., niches or regimes. As niches
emerge and develop, they interact with the dominant regime,
which is in turn influenced by the landscape level. Geels and Schot
(2010) have created a typology of transition pathways to illustrate
the different speeds and trajectories of landscape change and the
variability in niche-regime interaction. In doing so, transition
theory maintains both constructivist and positivist elements, but
of the three theories presented here goes furthest in providing
insights into change as a process of socio-technical innovation.
Although the main focus has been primarily in a European
context, the approach is now being applied in other regions,
contexts, and sectors (e.g., Berkhout et al. 2009, Rock et al. 2009),
including aquaculture (Lebel et al. 2010, Bush and Belton 2011).
Indeed aquaculture is highly amenable to analysis in a multilevel
framework because the dynamic growth of the industry has meant
that innovation has been a central component of expansion (Lebel
et al. 2008). Therefore, transition theory provides rich territory
for understanding what kinds of governance arrangements can
foster sustainability innovation, either in an entire sector or at the
farm level, and how these innovations can emerge as new
production regimes.
What is less well attended to in transition theory is the politics of
normative policy decisions. For any discussion around the design
of pathways for sustainability in the context of aquaculture
transitions, a series of normative goals need to be addressed: the
“by whom, for whom” kinds of questions. Like resilience,
transition theory does not address these processes as well as
agrarian change, which is more focused on defining the
boundaries around who is in control of what and where, rather
than the emergence of innovative sustainability practices.
Moreover, the intersection of technology with power dynamics is
relatively weak (Lawhon and Murphy 2012), which in aquaculture
terms may leave open questions of who controls and who benefits
from socio-technical innovations (Hall 2004): Do the less
powerful have access to the resources necessary for innovation to
occur, and do states and other actors facilitate or take control of
these innovations (Ha and Bush 2010)? Applying these questions
to aquaculture transitions can reveal the structural dimensions
that shape highly politicized debates over, for instance, the
ownership of coastal resources (Primavera 2006), the social
relations that structure market access (Belton et al. 2011b,
Kusumawati et al. 2013, Tran et al. 2013), and the interface of
global environmental standards, national legislation, and coastal
communities (Vandergeest 2007, Vandergeest and Unno 2012).
Coming full circle in our discussion on the relative merit of these
theories to understand social-ecological systems, transition
theory is also limited in its capacity to incorporate ecological
processes compared with resilience thinking. Although this may
be less important for closed aquaculture systems, which aspire to
be completely insulated from the surrounding environment, the
open systems that dominate production throughout Asia are
fundamentally integrated into surrounding landscapes and
ecological processes (e.g., Prein 2002, Neori et al. 2007, Berg et
al. 2012, Peng et al. 2013). The identification of transition
pathways for innovation in socio-technical networks does bring
in elements of sustainability, but often where these are related to
technology. Ecological processes are placed within the external
landscape level. If aquaculture is to be seen as a complex biosocio-technical network (cf., Johnsen et al. 2009), then transition
theory suffers some clear weaknesses that can be complemented
by the systems ecology focus of resilience theory.
INTEGRATION VERSUS COLLABORATION:
EMPHASIZING SOCIAL CHANGE IN AQUACULTURE
Given the differences between these three theoretical approaches,
to what extent might they, individually or collectively, contribute
to understanding the social dimensions of transition in
aquaculture? Resilience thinking has opened up a range of novel
approaches for examining complex processes of change, but its
epistemological basis of seeing the social through a “new ecology”
lens, as has been widely argued, limits the understanding of social
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processes that influence change and transition, notably social
dynamics, agency, and innovation. From their social starting
point, agrarian change and transition theory directly address
these processes as fundamentally relational. Although agrarian
change and transition theorists do refer to sustainability and
environment, they do so in an opposite way from resilience: from
the social to the ecological. Our comparison adds to recent
critiques focusing on the limitations of resilience thinking in
dealing with social processes of change within wider socialecological transitions. However, instead of simply deconstructing
and reconstructing the social in resilience, we point to the
ontological and epistemological boundaries of systems thinking,
and in doing so the relative contribution resilience can make visà-vis other social theories of change and transition.
The systems approach of resilience creates a fundamental divide
with the two social science theories. Although it is this systems
thinking that allows for the designation of causal factors in
ecological systems, it limits any reconciliation of social and
ecological integration; in some extreme cases, it even conflates cell
biology with complex group interactions, thereby stripping
humans of agency (e.g., Scheffer and Westley 2007). As Hatt
(2012) argues, social systems thinking (e.g., Parsons 1991) has
been heavily criticized for its deterministic and static nature, both
of which are the antithesis of dynamic complex systems. However,
perhaps more fundamentally the question is whether the holistic
or “totalizing” aspirations of complex systems create as many
problems in understanding processes of social and ecological
change as they do benefits. This is not to say that social and
ecological processes are unrelated, or that they should be seen as
unrelated. Instead it points to what Welsh (2013) labels the
unintended consequences of drawing in a range of academic
disciplines to the singular ontology of social-ecological systems.
We argue that this may happen in at least two different ways.
First, in acknowledging the strengths of resilience thinking,
aquaculture, like many production systems, has been successfully
understood and manipulated through systems engineering.
Therefore, expanding out to environmental problems through the
lens of resilience consists of the relatively short, but still highly
complicated, step of moving from the production system to the
wider ecological system, the first a nested scale within the second.
This expansion has been addressed in the literature focused on
environmental impact of aquaculture, such as the ecosystembased management approach (e.g., Levin and Lubchenco 2008,
Soto et al. 2008), payments for ecosystem services (e.g., Tallis et
al. 2008), and life-cycle analysis (e.g., Pelletier et al. 2007, Zhang
et al. 2010). These approaches have provided a means of linking
economics and the social sciences to resilience, but in a way that
reduces social phenomena and processes into system components
(cf., Turner 2013). The result is a reification of the system by fitting
the social into ecological ways of knowing, rather than, we proffer,
a truly integrated understanding of social and ecological change.
Second, a similar process of reification is observed at a theoretical
level, whereby social theories of change are co-opted or
“naturalized” into resilience thinking (Fig. 1). For instance, the
incorporation of social learning in resilience theory has offered
new insights, but when made to fit the lexicon of adaptation, it
threatens to undermine the very essence of agency; learning is not
a given in response to disturbance or change, but is also
determined by the social relations that structure an individual’s
or group’s capacity to learn (Armitage et al. 2008b). Likewise,
scholars focused on social innovation in resilience theory have
focused on networks and institutional entrepreneurs (e.g., Moore
and Westley 2011, Westley et al. 2013), with the intention of
opening up insights to the adaptive capacity of connected
individuals, barriers to change, and strategic opportunities for
instigating change. However, in doing so, the authors have
attempted to fit social science theories and concepts, ranging from
business models to Schumpeter’s notion of creative destruction,
into the systemic cycle of panarchy (Moore and Westley 2011).
Although such conceptual integration is increasingly presented
as a way of understanding social-ecological complexity, it is not
immediately clear why epistemological integration should be
preferred to building bridges between concepts or theories, given
the risk of losing the considerable explanatory power already built
up in these social sciences theories.
Fig. 1. Naturalization of theories and concepts into resilience
thinking.
We argue that an improved social and ecological understanding
of rapid change in dynamic sectors like aquaculture can be
achieved by constructing such bridges between concepts/
disciplines, individuals, and programs (Morse et al. 2007), as
opposed to the holism embodied in the integrative systems of
resilience thinking (Fig. 2). Understanding how agrarian change
and transition theory might complement resilience not only
strengthens the position of the social analysis but also avoids the
co-option or naturalization of their key concepts into resilience.
Doing so might help researchers to avoid the epistemological
impasse that follows debates around integrative science,
eloquently captured by Wilson (2010:52), who argues that when
“discussions are systematic they tend not to be critical, and when
they are critical they fail to be systematic,” and Davoudi
(2012:305), who suggests that in “the social context, a bounded
approach soon leads to exclusionary practices.” These
observations are even more relevant when power, agency, and the
politics of control are fundamental to understanding who gets
what, when, and how in the case of agrarian change, or who
innovates what, when, and how in the case of transition theory.
Ecology and Society 19(3): 50
http://www.ecologyandsociety.org/vol19/iss3/art50/
Fig. 2. Collaboration between theories in sharing insights with
resilience thinking.
complex social relations, livelihood change, and ecological
dynamics. Any further theorization about aquaculture transition
should focus on how different constructs can strengthen our
understanding of the social dynamics of change, and how these
social processes affect wider social-ecological transitions in
coastal areas.
Responses to this article can be read online at:
http://www.ecologyandsociety.org/issues/responses.
php/6677
Acknowledgments:
Far from weakening aspirations to understand complex processes
of change, we believe such a framework for collaboration can
yield valuable insights. Transitions, regardless of their theoretical
conception, are multifactor processes influenced by a range of
drivers and ever-changing dynamics (Holtz et al. 2008). As argued
by Smith and Pickles (1998:2), transitions are in this regard not
a one-way process of change from one hegemonic system to
another, but rather a “complex reworking of old social relations.”
No one particular theory will adequately address all change
factors, and it may really take a nuanced reading of a situation
to determine which theoretical lens or lenses to apply. In addition,
just as the systems ontology of resilience thinking constrains how
we construct knowledge, so too do the relational and categorical
ontologies of agrarian change, defining class, modes, and
relations, and transition theory, linking niches, regimes, and
landscapes. Each theoretical perspective is therefore “doomed”
to form its own perspective on temporal nonlinearity, spatial
heterogeneity, global complexity, and structure-agency inconsistency
(Wilson 2007). The consequence is that no particular theoretical
approach is likely to provide us with adequate analytical power
to take into account social-ecological transitions facilitated by
social, political, ecological, and technological networks across
multiple spatial and temporal scales.
As the importance of aquaculture as a driver of regional economic
development and global food security continues to rise, we will
be forced to continually consider what implications this sector
holds for coastal communities and ecosystems. Critical agrarian
questions, including the classic winner and loser questions, remain
central to understanding the social drivers and consequences of
change. Moreover, methodologies for better complementing the
positivist approaches of resilience and transition theory with the
qualitative hermeneutics of agrarian change may provide a more
nuanced and power-sensitive understanding of transition.
Therefore, building conceptual bridges between these areas of
scholarship may allow academics and practitioners alike to better
understand the interrelated nature of historical transitions,
We thank Dr S. Stone-Jovicich and Dr R. Plummer for organizing
this Special Feature, and Dr P. Vandergeest, Dr P. Oosterveer, Dr
G. Spaargaren, and Dr D. Armitage for comments on an earlier
draft of this paper. M. J. Marschke’s research is supported by the
Social Science and Humanities Research Council (SSHRC) of
Canada. S. R. Bush’s research is based on findings from the
RESCOPAR programme, funded by the Interdisciplinary Research
Fund (INREF) at Wageningen University. Authorship is listed
alphabetically.
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