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10.1002/fee.1283
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Fischer, A. P., Spies, T. A., Steelman, T. A., Moseley, C., Johnson, B. R., Bailey, J. D., ... Bowman, D. MJS.
(2016). Wildfire risk as a socioecological pathology. Frontiers in Ecology and the Environment, 14(5), 276-284.
https://doi.org/10.1002/fee.1283
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CONCEPTS AND QUESTIONS
276
Wildfire risk as a socioecological pathology
A Paige Fischer1*, Thomas A Spies2, Toddi A Steelman3, Cassandra Moseley4, Bart R Johnson4, John D Bailey5,
Alan A Ager6, Patrick Bourgeron7, Susan Charnley8, Brandon M Collins9, Jeffrey D Kline2, Jessica E Leahy10,
Jeremy S Littell11, James DA Millington12, Max Nielsen-Pincus13, Christine S Olsen5, Travis B Paveglio14,
Christopher I Roos15, Michelle M Steen-Adams16, Forrest R Stevens17, Jelena Vukomanovic7, Eric M White18, and
David MJS Bowman19
Wildfire risk in temperate forests has become a nearly intractable problem that can be characterized as a
socioecological “pathology”: that is, a set of complex and problematic interactions among social and ecological systems across multiple spatial and temporal scales. Assessments of wildfire risk could benefit from
recognizing and accounting for these interactions in terms of socioecological systems, also known as coupled
natural and human systems (CNHS). We characterize the primary social and ecological dimensions of the
wildfire risk pathology, paying particular attention to the governance system around wildfire risk, and
suggest strategies to mitigate the pathology through innovative planning approaches, analytical tools, and
policies. We caution that even with a clear understanding of the problem and possible solutions, the system
by which human actors govern fire-prone forests may evolve incrementally in imperfect ways and can be
expected to resist change even as we learn better ways to manage CNHS.
Front Ecol Environ 2016; 14(5): 276–284, doi:10.1002/fee.1283
F
ire-prone temperate forests are becoming increasingly
risky places for humans. Despite massive and increasing investments in firefighting, wildfire risk – the
probability and potential losses associated with fire – is
increasing. The problem is global in scale: Australia and
countries in North America and the Mediterranean
Basin have experienced substantial losses in life and property to wildfires in temperate forests in recent years
(Chapin et al. 2008; Bowman et al. 2011; Dennison et al.
2014; Moritz et al. 2014; Stephens et al. 2014). Length of
fire seasons and extent of land area burned have increased
in these regions, as have economic losses from wildfire
and expenditures on fire suppression (Jolly et al. 2015). In
In a nutshell:
• Wildfire risk in temperate forests can be considered a
socioecological pathology: a set of interrelated social and
ecological conditions and processes that deviate from what is
considered healthy or desirable
• Finding solutions to the problem of wildfire risk requires a
more complete specification of fire-prone temperate forests
as coupled natural–human systems, and more attention to
the complex interplay between the social and ecological
conditions and processes that influence human decision
making (ie the wildfire governance system)
• Building social networks of stakeholders and engaging stakeholders in scenario planning exercises can foster creative
problem solving to reduce wildfire risk and restore fire to
fire-prone temperate forests
1
University of Michigan, Ann Arbor, MI *(apfisch@umich.edu);
US Department of Agriculture (USDA) Forest Service,
Corvallis, OR; 3University of Saskatchewan, Saskatoon,
Canada; 4University of Oregon, Eugene, OR; 5Oregon
State University, Corvallis, OR; continued on last page
2
www.frontiersinecology.org
the US, economic losses from wildfires doubled and suppression costs tripled in the decade after 2002 as compared with the previous decade (Headwaters Economics
2013; Reuters 2013). Nevertheless, fire is an essential
ecological process in many temperate forest ecosystems,
playing a critical role in maintaining native plant and
wildlife diversity.
The nearly intractable problem of wildfire risk in temperate forests can be characterized as a socioecological pathology: a set of interrelated social and ecological conditions
and processes that deviate from what is considered healthy
or desirable. Another example of a socioecological pathology is the desiccation of the Aral Sea in central Asia and
the subsequent decimation of its fishing industry and
coastal human communities, which resulted from a narrow
societal focus on the rapid spread of irrigated agriculture for
cotton monoculture that led to the overuse of water
resources (Gunderson and Pritchard 2002). The wildfire
risk pathology, which should not imply that all wildfire is
undesirable, can be traced to a complex set of interacting
factors. Conditions in forests have become more hazardous
due to accumulation of abundant flammable vegetation, in
many cases a result of disrupted traditions of indigenous fire
management, practices of fire exclusion and suppression,
establishment of weeds and other flammable plants, and a
warming climate (Moreira et al. 2011; Williams 2013).
Population change has also affected fire risk. In some
regions, such as the western US, expansion of exurban areas
has increased the probability of ignitions and placed more
assets at risk in forested fire-prone areas. Accompanying
demographic shifts have engendered new social values, policies, and decisions that favor reduction of short-term fire
risk to homes and other structures at the expense of longterm risk to forest landscapes (Williams 2013). In other
© The Ecological Society of America
AP Fischer et al.
Wildfire risk as a socioecological pathology
ble to identify key human components
of the system that control attitudes,
behaviors, and policies; it is also possible to develop strategies and analytical
tools that human actors in the system
can leverage to create more adaptive
feedback loops in which wildfire risk
reduction accompanies reduction in
human and ecological vulnerability.
J
The nature of the pathology
Although global in scale, the socioecological pathology of wildfire risk
is clearly demonstrated in the western
US. During the 20th century, suppression and exclusion of fire (ie fire
protection) allowed flammable vegetation to accumulate in this region’s
temperate forests, including scenic
areas along the wildland–urban interface (WUI) where amenity-seeking
Figure 1. Wildfire risk in fire-prone temperate forests is a result of interacting positive migrants (people who relocate to areas
feedback loops that link wildfire and human vulnerability through key drivers of land use based on non-consumptive values
such as scenery and recreation) settled
and natural resource management.
beginning in the 1970s, and increasingly in the 1990s (Theobald 2001;
areas, such as southern Europe, rural exodus has led to aban- Johnson and Beale 2002). The extent of area burned
donment of land management activities and accumulation and the social and ecological impacts of wildfire in the
of hazardous vegetation (Moreira et al. 2011). These drivers western US have increased as the climate has warmed
have co-evolved over time, creating a maladaptive, positive over the past two decades (Dennison et al. 2014; NIFC
feedback loop in which wildfire risk increases despite poli- 2015), although the proportion of high-severity fires
cies and practices designed to reduce it. As wildfires become that is increasing is debatable (Baker 2015). The result
larger and less controllable and forested areas become more has been a destabilizing feedback loop in which spiraling
vulnerable, society demands more fire protection, pushing fire losses are a direct consequence of policies intended
agencies toward suppressing rather than using fire as a tool to protect people and resources from wildfire (Figure 1).
(North et al. 2015). The challenge of understanding the
The wildfire risk pathology can be viewed as the result
problem of wildfire risk and developing solutions is com- of a set of social and ecological regime shifts (Figure 2;
pounded by variability and complexity in: (1) fire regimes, Folke et al. 2004). Forests that historically experienced
not all of which exhibit the same positive feedbacks, (2) frequent, low- and mixed-severity fires have been
effectiveness of fuels management strategies, and (3) insti- homogenized by widespread infilling with smallertutions involved in the governance of fire-prone forests diameter, shade-tolerant tree species, and selective logging
(Price et al. 2015).
of large, fire-resistant tree species. These changes created
We use a coupled natural and human systems (CNHS) new successional pathways and primed forests for large,
perspective (Liu et al. 2007) to understand the pathology uncontrollable fires under changing climatic conditions
of wildfire risk in fire-prone temperate forests and suggest (Stephens et al. 2013; Stavros et al. 2014). New states and
strategies to mitigate it. Applying CNHS concepts to wild- dynamics may be emerging in social systems as well.
fire risk has been identified as a prerequisite for under- Expanded populations of WUI residents may be less tolerstanding the problem and framing appropriate policies ant of smoke from fire than their early 20th century natu(Chapin et al. 2008; Moritz et al. 2014; Spies et al. 2014). ral resource-dependent counterparts and earlier native
Although some researchers have attempted to address ele- peoples, who relied on forests for consumptive and proments of the pathology, we submit that their effectiveness ductive uses and often actively used fire as a management
has been limited by incomplete specification of the CNHS, tool. Fires burning in forested areas raise legitimate conespecially the interplay between the social and ecological cerns about effects on scenic beauty and human health.
conditions and processes that influence human decision The potential for fires to escape containment, as well as
making – what we call the wildfire governance system. By debates about the effectiveness of controlled burning,
including governance in the CNHS framework, it is possi- impose particular constraints on the use of prescribed fire
© The Ecological Society of America
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277
Wildfire risk as a socioecological pathology
AP Fischer et al.
278
(a)
(b)
(c)
(g)
(d)
(e)
(f)
Figure 2. Social and ecological regime shifts: transition of ecological system from fire-dependent ponderosa pine (Pinus ponderosa)
woodland to fire-intolerant early-successional mixed-conifer forest (top); transition of social system from fire-dependent hunting culture to
fire-intolerant amenity-oriented culture (bottom). Note the last two pictures in the social regime change series are from Mirror Pond, on the
Deschutes River, in Bend, OR, where use has gone from wood processing to recreation and shopping. Courtesy of Amon Carter Museum,
Fort Worth, Texas, Deschutes County Historical Society, Tumalo Creek Kayak & Canoe, and Elmer Fredrick Fischer/Corbis.
to manage forest vegetation, although the public generally
supports activities that mitigate forest fire risk (Shindler
and Toman 2003; Maguire and Albright 2005; Wilson
et al. 2011; McCaffrey and Olsen 2012). Furthermore,
while managed wildfire (eg lightning-ignited fire allowed
to run its course within well-defined and maintained
perimeters) can contribute to reducing the fuels that support high-severity fires, economic and social factors and
attitudes severly limit its use, despite policies that allow it
(North et al. 2015).
The current wildfire governance system in the western
US evolved as part of the positive feedback loop and
accompanying regime shifts that comprise the wildfire risk
pathology (Figure 1). Governance systems are “messy”
collections of diverse parties with different levels of authority at different scales, whose aim is to create stable expectations, norms, and institutions to address complex problems
(Duit and Galanz 2008). The wildfire governance system in
the western US consists of many state and non-state actors
with competing goals, policies, and practices. Long-standing
www.frontiersinecology.org
federal actors such as the US Forest Service (USFS) and
the Bureau of Land Management, as well as state-level
departments of natural resources, administer divisions that
simultaneously hold different and conflicting aims. For
instance, one division within a natural resource agency may
aim to restore ecological conditions and processes on historically fire-prone forestlands while another division will aim
to suppress fire on those same lands. Departments of natural
resources at the state level also provide fire protection to
private industrial and nonindustrial landowners, and forest
management assistance to nonindustrial owners. A variety
of nonprofit organizations are also active in the wildfire
governance system, advocating for ecological restoration
and fire protection, and providing technical assistance to
homeowners and nonindustrial private forest landowners.
While based on well-intentioned strategies, the current
wildfire governance system has made changing the pathology extremely difficult. Despite the recognized importance
of restoring ecological conditions and processes on historically fire-prone forestlands, including reintroducing fire,
© The Ecological Society of America
AP Fischer et al.
Wildfire risk as a socioecological pathology
current forest management policies, as implemented,
continue to prioritize fire protection (Steelman and Burke
2007). State and federal agencies continue to focus on fire
suppression (North et al. 2015) and face numerous challenges that make it difficult to encourage use of thinning,
prescribed burning, and managed wildfire to restore forests
and reduce future fire risk (Maguire and Albright 2005;
Wilson et al. 2011). Expanding state and federal fire suppression budgets creates a disincentive for agencies to shift
toward thinning and use of fire as a management tool
(North et al. 2015). Moreover, land-use policies and property insurance practices can subsidize the risk of settling in
hazardous areas (Yoder and Blatner 2004; Donovan and
Brown 2007), although there is no empirical evidence for
the strength of this feedback. In addition, the combined
influences of climate change and land-use change appear
to be leading to longer fire seasons and increased wildfire
activity in the western US (Westerling et al. 2006),
strongly suggesting that ineffective greenhouse-gas emissions policies in tandem with regional land-use policies
have amplified the problem. The result has been a set of
complex interactions between fire protection behaviors,
hazardous fuels, human settlement patterns, wildfire ignitions, and climate change, which have given rise to everincreasing wildfire risk (Figure 1).
For better or worse, the wildfire governance system, in
turn, reinforces the wildfire risk perceptions and management behaviors of individual property owners. Such owners often do not make short-term investments in reducing
flammable vegetation to diminish their long-term exposure (McCaffrey 2004), in part because the probability of
a wildfire damaging their property is relatively low in any
given year, but also because they can benefit from the risk
reduction activities of other landowners nearby (Busby
and Albers 2010). Furthermore, the public generally
expects government agencies to protect them when wildfires occur (Canton-Thompson et al. 2008). The resultant human decisions to reduce flammable vegetation (or
not to do so) can influence risk at large spatial scales.
Unlike other natural hazards, a fire can be ignited by a
single individual and can cause widespread impact, and
owners who fail to reduce hazardous vegetation around
structures and along property lines can enable the spread
of wildfire to larger areas (Calkin et al. 2014).
J
Policy innovation in a complex coupled system
Ultimately, the remedy to the wildfire risk pathology
is a governance system that transforms maladaptive
feedbacks into adaptive feedbacks. Creating such a governance system requires policies that influence human–
land–forest and fire-management behaviors and that
account for socioecological interactions at multiple scales:
spatial (ownership, landscape, ecoregion), temporal
(short- and long-term), and organizational (individuals,
groups, institutions). Recent US federal policy innovations such as Stewardship End Result Contracting and
the Collaborative Forest Landscape Restoration Program,
both permanently authorized in 2009, have, to some
extent, moved toward this ideal. These initiatives encourage local variation in planning and management
such that actions can be coordinated and adapted across
larger spatial scales and longer time frames than are
typically seen in forest management (Table 1). Similarly,
Table 1. Examples of US policies that account for socioecological interactions at multiple scales
Policy
Intent
Demonstrated ability to account for key types of cross-scale interactions
Spatial
Temporal
Organizational
Collaborative Forest
Landscape Restoration
Program (CFLRP) of 2009
Promotes landscape-scale
restoration on national
forests by making long
term financial investments
where stakeholders
are already working
together
Engages managers and
stakeholders in
landscape in planning
and management
Fosters longer
planning horizons
than typical in forest
management
Integrates decision
making at local, state,
and regional scales
Stewardship End Result
Contracting (first passed in
1999, permanent authority
in 2014)
Creates mechanisms for
forest management that
allow for integration of
timber removal and
restoration activities
to benefit local
communities
Integrates forest
management projects
across landscapes
Fosters longer
implementation
horizons than typical
in forest management
Integrates considerations
of local economic, social,
and ecological benefits
with forest management
and wildfire protection
goals
The National Cohesive
Wildland Fire Management
Strategy (mandated as part
of Federal Land Assistance,
Management and
Enhancement [FLAME] Act
of 2009)
Promotes fire-resilient
landscapes, fire-adapted
communities, and effective
and efficient wildfire
protection through
multi-scalar strategy
development and
implementation
Integrates responses
by federal and state
agencies, state and
local government, and
tribes across regional,
state, and local scales
Will be revised at
least every five years
to consider changes
with respect to
landscape, vegetation,
climate, and weather
Engages federal and state
land management and
fire protection agencies,
state and local governments, tribes, and other
stakeholders in analyzing
alternatives
© The Ecological Society of America
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Wildfire risk as a socioecological pathology
280
AP Fischer et al.
the intent of the National Cohesive
Wildland Fire Management Strategy
of 2009 – mandated as part of the
Federal Land Assistance, Management, and Enhancement (FLAME)
Act – is to balance local, state, and
federal fire protection goals with the
need to restore fire-adapted landscapes and create human communities that can plan for, respond to,
and recover from wildfires.
Policy innovation has already
occurred on multiple scales of social
organization. A growing number of
networks of non-state actors have
emerged to address wildfire in the
western US by supplementing the
work of long-standing state and federal actors. Across the wildfire governance system, networks of diverse
stakeholders are operating at various
spatial and organizational scales.
These include collaborative activities at the national level, such as in
the area of interagency wildfire Figure 3. Components of a framework for addressing the pathology of wildfire risk in
response, and at the local level, as fire-prone temperate forests through broad human engagement in complex thinking about
with neighborhood organizations multi-scalar policies and adaptive planning and management.
seeking to reduce wildfire risk.
Federal agencies are heavily involved with many of these governance system that itself operates at multiple
efforts, such as the Fire Learning Network, a USFS- organizational scales. Furthermore, formal policies do
funded project of The Nature Conservancy (an environ- not change human behavior in straightforward ways.
mental nonprofit organization). Other efforts have been Change is often resisted, as in the case of the Federal
initiated with limited government intervention, as with Wildland Fire Management Policy of 1995, which forprescribed fire councils where local landowners, land mally moved federal policy away from absolute fire
managers, and other stakeholders are organizing to suppression. In practice, however, suppression remains
increase social and political support for using fire as a the default choice of wildfire management, even as fedmanagement tool and building capacity to implement it eral agencies experiment with more complex strategies
across jurisdictional lines.
(Steelman and Burke 2007). What is needed is a more
While these new cross-scalar policy interventions have fire-adapted governance system that leads to reduced
created opportunities to weaken maladaptive feedbacks fire risk through better-targeted fuel treatments, coorbetween wildfire and human vulnerability, their effects dinated efforts, and restoration across whole landare not yet visible. Property losses from wildfires continue scapes.
to grow and the annual rate of restoration needed to
reduce risk remains well beyond current treatment rates J CNHS planning approaches and analytical tools
(Stephens et al. 2013). With projected climate change
and further development in the WUI, the problem of In a fire-adapted governance system, actors from across
wildfire risk is outpacing the human capacity to adapt. spatial, temporal, and organizational scales would be
Perverse incentives continue to encourage not only resi- engaged in interactive, collaborative efforts to develop
dential development in fire-prone forests in the WUI but solutions to the wildfire risk pathology (Figure 3).
also fire suppression instead of management to reduce risk Social network analysis offers an efficient path to
in forested areas (North et al. 2015). Moreover, jurisdic- understanding the complex social structure of a govtional heterogeneity has added new layers of complexity ernance system. The patterns of interaction within a
to the governance system, making progress uneven.
network of actors – how centralized or densely
How these recent policy interventions affect human interconnected they are – influence the functioning
behavior and landscape fire risk is unpredictable. New of a governance system and the extent to which it
policy does not operate in a vacuum; rather, it is inte- may enable or constrain communication, coordination,
grated into the complex, path- dependent wildfire and creative problem solving (Bodin and Crona 2009).
www.frontiersinecology.org
© The Ecological Society of America
AP Fischer et al.
Wildfire risk as a socioecological pathology
As an example, network analysis
was used to map and quantify relationships among a set of organizations involved in forest and
wildfire management in Oregon.
The analysis indicated that network
structure was strongly shaped by
the tendency of people to associate
with those who possess similar
management goals, geographic emphases, and attitudes toward wildfire
(Figure 4) (Fischer et al. 2016;
Fischer and Jasny in review). In
particular, organizations with fire
protection and forest restoration
goals comprised distinct subnetworks despite a shared concern
about the issue of increasing wildfire
risk. The lack of cohesion in the
overall network could potentially
constrain interactions among organizations with diverse information
and resources, limiting opportunities for learning and complex Figure 4. A map of actors in a wildfire governance network in Oregon, in which groups
problem solving regarding the that interact with each other are closer to each other than to groups that do not interact.
wildfire risk pathology.
Actors that focus on forest restoration are mainly located in the upper hemisphere of the
Network analysis can also inform figure, whereas those that focus on fire protection are largely located in the lower
interventions to enhance the struc- hemisphere. This pattern suggests that interaction between actors from the two groups
tural characteristics of social net- may be constrained. Policy interventions could create new institutions to bring forest
works so as to better support critical restoration and fire protection actors into more frequent and sustained interactions.
exchanges of information and resources among key actors (Valente 2012).
The Fire Learning Network mentioned earlier is an exam- aged to improve communication, coordination, and
ple of a network intervention that has built connectivity joint problem solving.
among land management organizations to further restoraOnce social networks are identified, scenario plantion of fire-dependent ecosystems through landscape-scale ning (also referred to as alternative futures modeling)
collaborative planning (Butler and Goldstein 2010). offers a systematic method for actors to anticipate
Network maps and statistics can reveal highly connected or uncertain future social and ecological conditions resultinfluential organizations whose strategic positions could be ing from potential shifts in social and environmental
leveraged to improve communication and cooperation, or trends, or new policies and technologies (Peterson et al.
to pinpoint sets of organizations that could benefit from 2003). Scenario planning provides a tool for actors to
greater communication and cooperation. Network analysis project social and ecological interactions and outcomes
may reveal that conservation groups in the western US are under different scenarios (Hulse et al. 2000; Hulse et al.
augmenting the limited capacity of land management agen- in press; Spies et al. in review). Although scenario
cies to engage in collaborative landscape planning and planning is not new, emerging stakeholder networks
social–ecological thinking by contributing additional and state-of-the-art, spatially-explicit, agent-based
labor, skills, and, at times, financial resources. Similarly, models (simulation models that describe autonomous
network maps may identify scientists as emerging actors individual agents, eg landowners who make decisions
in the wildfire governance system because of their that modify vegetation or built structures) create new
increasing role in using, and providing interpretations opportunities for actors to explore socioecological feedof, complex models. Indeed, the analysis of organiza- backs and interactions in real landscapes. Such exertions involved in forest and wildfire management in cises can serve as a discussion aid for actors to collecOregon revealed that several conservation groups and tively identify possible pathways for remedying the
academic institutions had much more extensive and wildfire risk pathology. For example, scenario planning
heterogeneous networks relative to all other organiza- is facilitating development of more effective and ecotions (Fischer and Jasny in review). The large and logically based forest landscape restoration projects by
diverse networks of such organizations could be lever- collaboratives in central Oregon (Figure 5) (Spies et al.
© The Ecological Society of America
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Wildfire risk as a socioecological pathology
282
AP Fischer et al.
in review). As part of these efforts,
stakeholder-generated scenarios are
being used with an agent-based
model to demonstrate how fuel
treatment designs might affect the
extent of area burned in the future
by high- and mixed-severity fire and
the trade-offs among managing for
wood, fire risk, and biodiversity.
Collaborative groups in central
Oregon have shown interest in
applying the models to specific
landscape-scale projects that help
them move beyond forest standscale and short-term perspectives,
which can inhibit breaking out of
the wildfire risk pathology.
Land managers, planners, and
other actors in the wildfire governance system can model scenarios that
test plausible interventions by
exploring uncertainties and risks Figure 5. Representatives of organizational actors within a wildfire governance system
associated with implementing alter- in Oregon developing a conceptual map of a wildfire risk scenario.
native future policies. These could
include using fire to a greater degree
as a management tool on public and private lands, shift- sometimes contrary to, the expected effects of land
ing responsibility for fire protection from agencies to management actions. They then demonstrated how this
homeowners, or zoning land use and development based analysis could be used to anticipate when, where, and
on fire risk. Scenario planning can be used to explore the how potentially unexpected fires may burn. Further
limits of human adaptation – for instance, to investigate advances in such simulation tools may offer increasingly
at what point increasing wildfire risk might compel WUI useful insights into managing the complex feedbacks of
residents to move to less fire-prone areas or, alterna- the wildfire risk pathology, and serve as important aids
tively, take wildfire management into their own hands. in policy development.
Such advanced models may not yet exist, but recent
innovations in the implementation of complex agents, J Conclusions
social networks, and learning mechanisms may soon
bring them within reach. As a case in point, the poten- Although temperate forest regions in the US, southern
tial to endow agents with increasingly human character- Australia, and the Mediterranean Basin have different
istics (Tweedale et al. 2007) now includes algorithms for landscape histories, their political systems and approaches
deliberative reasoning to avoid undesirable situations to fire management all exhibit the socioecological pa(Davidsson 2003; Doniec et al. 2008); proactive, forward- thology of wildfire risk. In Greece, for example, the
thinking behavior (So and Sonenberg 2004); and con- decision to shift responsibility for wildfire management
founding factors such as spread of misinformation from the Forest Service, located in the Ministry of
Agriculture, to the Fire Service, located within the
(Acemoglu et al. 2010).
The capacity to generate hundreds of spatially explicit Ministry of Public Order – combined with new European
alternative futures that explore variability and uncer- Union policies intended to reduce wildfire occurrence –
tainty within and among scenario sets can be particu- increased focus on the main symptom of the wildfire
larly informative when change is likely to occur outside risk pathology (uncontrollable wildfires) rather than
the bounds of historical variability (Hulse et al. in the cause (land-use and population change) (Kalabokidis
press). In this vein, Hulse et al. characterized eight alter- et al. 2008). In Australia, post fire disaster recovery
native futures for a fire-adapted oak–conifer system has typically included rapid rebuilding, making it difcomposed of multiple sets of contrasting climate, devel- ficult to adapt building practices and landscape design
opment, and fire hazard management scenarios and to increasingly fire-prone conditions. In each of these
generated simulations of each scenario over a 50-year countries the pathology will continue to be exacerbated
period. The authors used the results to explore the by climate change (Flannigan et al. 2013). The need
mechanisms through which fires of unprecedented size to adapt is driving rapid policy development, with incould spread through the landscape in response to, and creasing recognition of the importance of collaborative
www.frontiersinecology.org
© The Ecological Society of America
AP Fischer et al.
partnerships in some regions. The 2015 decision in
Victoria, Australia, to use greater community consultation and partnerships to help identify areas for fuel
management to reduce risk, instead of relying on mandated annual targets, is an example of such a shift.
As we have demonstrated for the western US, overthrowing all current policies may not be required to
mitigate the wildfire risk pathology; revising existing
policies could be sufficient.
While research, evaluation, and monitoring are
required to determine whether policy innovations will
be effective and enduring, applying a CNHS framework
may help to ensure that policies are well-grounded ecologically and socially. We hypothesize that engaging
actors in anticipatory thinking can help reveal how the
transformation of maladaptive feedbacks into adaptive
feedbacks can come from within the network of actors
within a CNHS. As policies are implemented, managers, planners, and other actors can use scenarios and
modeling not only to identify social and ecological processes that continue to exacerbate wildfire risk but also
to test further strategies to reverse such positive feedbacks. Through adaptive actions and learning, actors in
the wildfire governance system can become aware of
what parts of the system resist change, and where new
policies, networks, or organizations may make a difference. Such a framework may help expand the problemsolving capacity needed to address the pathology of
wildfire risk at appropriate spatial, temporal, and social
scales.
Changing a pathological system is difficult because the
conditions and processes that engender the pathology are
highly resilient. We caution that even with clear understanding of the wildfire pathology and possible solutions,
governance systems may evolve incrementally and in
imperfect ways, continuing to resist change even as we
learn better ways to manage CNHS. Nevertheless, a fireadapted governance system that engages a wide array of
human actors in social networks and planning processes
that promote complex thinking about the future offers
the best chance of mitigating the wildfire risk pathology,
whether in the US or in fire-prone temperate forests elsewhere in the world.
J
Acknowledgements
This paper emerged from a workshop sponsored by the
US National Science Foundation’s (NSF’s) Coupled
Human and Natural Systems Program (NSF grant CNH1013296), the USDA Forest Service PNW Research
Station, and the Joint Fire Science Program (JFSP
Project Number 12-5-01-15). We acknowledge support
from NSF grants CNH-1013296, CNH-0816475, CNH1313688, GEO-1114898, and DEB-1414041, and we
thank A Agrawal and DL Peterson for providing comments on an earlier version of this paper. Any use of
trade, firm, or product names is for descriptive purposes
© The Ecological Society of America
Wildfire risk as a socioecological pathology
only and does not imply endorsement by the US
Government.
J
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6
USDA Forest Service, Pendleton, OR; 7University of Colorado–
Boulder, Boulder, CO; 8USDA Forest Service, Portland, OR;
9
USDA Forest Service, Davis, CA; 10University of Maine, Orono,
ME; 11US Geological Survey, Anchorage, AK; 12King’s College
London, London, UK; 13Portland State University, Portland, OR;
14
University of Idaho, Moscow, ID; 15Southern Methodist University,
Dallas, TX; 16University of New England, Biddeford, ME;
17
University of Louisville, Louisville, KY; 18USDA Forest Service,
Olympia, WA; 19University of Tasmania, Hobart, Australia
© The Ecological Society of America