Resilience Frameworks - Walker & Salt
Also known as: Resilience Thinking
1. Overview
Resilience Thinking, as articulated by Brian Walker and David Salt, is a framework for understanding and managing complex adaptive systems, particularly social-ecological systems. It provides a lens through which to view the world, one that emphasizes the capacity of a system to absorb disturbances, reorganize, and maintain its essential functions, structure, and identity. This contrasts with traditional management approaches that often focus on optimization and efficiency, which can inadvertently reduce a system’s resilience by narrowing its range of responses to change and uncertainty. The core problem that Resilience Thinking addresses is the inherent vulnerability of systems that are managed for stability in a constantly changing world. By focusing on resilience, the framework helps to create systems that are more robust, adaptable, and ultimately more sustainable in the face of unforeseen shocks and stresses. The origin of this framework can be traced to the work of the Resilience Alliance, an international network of scientists and practitioners, with Walker and Salt’s 2006 book, “Resilience Thinking: Sustaining Ecosystems and People in a Changing World,” serving as a key text that popularized the concept and made it accessible to a broader audience.
2. Core Principles
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Maintain Diversity and Redundancy: A system with a high degree of diversity and redundancy is more resilient. Diversity refers to the variety of components within the system (e.g., species, knowledge systems, economic options), while redundancy refers to the presence of multiple components that perform similar functions. This principle is akin to the adage of not putting all one’s eggs in one basket. When a system has multiple ways of performing essential functions, it is less vulnerable to the failure of a single component. [1]
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Manage Connectivity: Connectivity refers to the way in which different components of a system are linked. While high connectivity can facilitate rapid recovery from disturbances, it can also lead to the rapid spread of negative impacts. Conversely, low connectivity can isolate components, preventing the spread of disturbances but also hindering recovery. The key is to manage connectivity to create a modular system where there are enough connections for recovery but not so many that the system becomes overly rigid and susceptible to cascading failures. [1]
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Manage Slow Variables and Feedbacks: Social-ecological systems are influenced by a combination of fast and slow variables. While managers often focus on fast variables (e.g., commodity prices, population fluctuations), it is the slow variables (e.g., soil fertility, social trust, ecological thresholds) that often determine the long-term resilience of a system. Understanding and managing these slow variables, and the feedback loops that influence them, is crucial for avoiding abrupt and often irreversible regime shifts. [1]
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Foster Complex Adaptive Systems (CAS) Thinking: This principle involves a shift in mindset away from linear, predictable models of change towards an understanding of systems as complex, dynamic, and unpredictable. CAS thinking embraces uncertainty and acknowledges that there are multiple perspectives on any given issue. It encourages a more holistic and adaptive approach to management, one that is better suited to the inherent complexity of social-ecological systems. [1]
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Encourage Learning and Experimentation: Given the inherent uncertainty of complex systems, a key element of resilience is the ability to learn and adapt. This involves creating a culture of continuous learning, where experimentation is encouraged, and failures are seen as opportunities for learning rather than as mistakes to be avoided. Adaptive management, which involves treating management actions as experiments, is a key practice associated with this principle. [1]
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Broaden Participation: Involving a wide range of stakeholders in the governance and management of a system can enhance its resilience. Broader participation can lead to a more comprehensive understanding of the system, as different stakeholders bring different knowledge, perspectives, and values to the table. It can also increase the legitimacy and effectiveness of management decisions, as those who are affected by the decisions are more likely to support and implement them. [1]
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Promote Polycentric Governance: Polycentric governance refers to a system of governance in which multiple, nested, and overlapping centers of decision-making authority exist. This contrasts with centralized, monocentric governance systems, where all authority is concentrated in a single entity. Polycentric systems are often more resilient because they allow for a greater diversity of responses to disturbances, and they can be more effective at matching the scale of governance to the scale of the problem. [1]
3. Key Practices
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Threshold Identification and Monitoring: This practice involves identifying the critical thresholds in a system, beyond which it may experience a regime shift. Once identified, these thresholds need to be monitored to provide early warning of potential problems. For example, in a fishery, a key threshold might be the minimum viable population of a particular fish species. By monitoring the population size, managers can take action to prevent it from falling below this threshold. [2]
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Scenario Planning: Scenario planning is a tool for exploring a range of plausible futures and considering how a system might respond to them. This helps to build resilience by preparing for a variety of potential shocks and disturbances, rather than just optimizing for a single, expected future. For example, a city might use scenario planning to explore the potential impacts of climate change, such as sea-level rise and more frequent extreme weather events, and to develop strategies for adapting to these changes. [3]
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Adaptive Management: Adaptive management is a structured process of “learning by doing.” It involves designing management actions as experiments, with clear hypotheses about their expected outcomes. The results of these experiments are then monitored and used to adjust future management actions. This iterative process of learning and adaptation is a cornerstone of resilience thinking. [4]
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Stakeholder Engagement and Co-management: This practice involves actively engaging a wide range of stakeholders in the process of understanding, managing, and governing a system. This can take many forms, from participatory workshops and citizen science initiatives to formal co-management arrangements where stakeholders share power and responsibility for decision-making. The goal is to build a shared understanding of the system and to foster a sense of collective ownership and responsibility for its future. [1]
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Building Social Capital and Trust: Social capital, in the form of strong social networks, trust, and norms of reciprocity, is a key component of resilience. When people trust each other and are willing to work together, they are better able to respond to crises and to self-organize to solve problems. Building social capital can involve a variety of activities, from community-building events to the establishment of collaborative governance arrangements. [5]
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Developing Institutional Flexibility: Institutions, in the form of rules, norms, and organizations, play a critical role in shaping the resilience of a system. Institutions that are rigid and inflexible can hinder adaptation and innovation, while those that are more flexible and adaptive can foster resilience. Developing institutional flexibility can involve a variety of strategies, from creating more adaptive legal frameworks to fostering a culture of experimentation and learning within organizations. [6]
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Promoting Innovation: Innovation, in the form of new technologies, practices, and institutional arrangements, is a key source of resilience. By generating a diversity of options, innovation can help a system to adapt to changing conditions and to find new ways of solving problems. Promoting innovation can involve a variety of strategies, from investing in research and development to creating platforms for knowledge sharing and collaboration. [7]
4. Application Context
Best Used For:
- Natural Resource Management: The framework is exceptionally well-suited for managing complex ecosystems like fisheries, forests, and water basins, where the goal is to ensure a sustainable flow of benefits while maintaining the system’s integrity.
- Urban and Regional Planning: It helps cities and regions build resilience to a variety of shocks and stresses, including climate change, economic downturns, and social upheaval, by fostering adaptability and robustness.
- Community Development: Resilience thinking provides a valuable framework for communities seeking to enhance their ability to withstand and recover from disasters, as well as to navigate social and economic transitions.
- Organizational Strategy: In today’s volatile, uncertain, complex, and ambiguous (VUCA) world, businesses can use resilience thinking to develop more robust strategies that are less vulnerable to market disruptions and technological shifts.
Not Suitable For:
- Simple, Stable Systems: In highly predictable environments where efficiency is the primary concern, the overhead of building resilience may not be necessary or cost-effective.
- Crisis Response: While resilience thinking is crucial for preparing for crises, the immediate response to a crisis often requires a more command-and-control approach.
Scale:
The principles of resilience thinking are applicable across a wide range of scales, from the individual level (e.g., building personal resilience) to the team and department level, up to the entire organization. It is also highly relevant at the multi-organizational and ecosystem scales, where it can inform the design of collaborative governance arrangements and large-scale conservation initiatives.
Domains:
Resilience thinking has been applied in a diverse range of domains, including:
- Environmental Management and Conservation
- Urban and Regional Planning
- International Development and Aid
- Public Health
- Disaster Risk Reduction
- Agriculture and Food Systems
- Business and Organizational Management
5. Implementation
Prerequisites:
- Leadership Buy-in: Successful implementation of resilience thinking requires strong and sustained support from leadership at all levels. Leaders must be willing to champion a new way of thinking and to invest the necessary resources in building resilience.
- A Willingness to Embrace Uncertainty: Resilience thinking challenges the traditional desire for predictability and control. Organizations and communities must be willing to embrace uncertainty and to experiment with new approaches.
- Access to Diverse Knowledge: Building resilience requires drawing on a wide range of knowledge, including scientific research, traditional ecological knowledge, and the practical experience of stakeholders. It is essential to create mechanisms for accessing and integrating these different forms of knowledge.
Getting Started:
- Define the System: The first step is to clearly define the system of interest. What are its boundaries? Who are the key stakeholders? What are the key social and ecological components?
- Identify Potential Shocks and Stresses: Once the system has been defined, the next step is to identify the potential shocks and stresses that it might face. This can be done through a combination of historical analysis, trend analysis, and scenario planning.
- Assess the System’s Resilience: The next step is to assess the system’s current level of resilience. This can be done by applying the seven principles of resilience thinking to the system and identifying its strengths and weaknesses.
- Develop a Resilience-Building Strategy: Based on the resilience assessment, the next step is to develop a strategy for building the system’s resilience. This strategy should include a mix of actions aimed at maintaining diversity and redundancy, managing connectivity, and so on.
- Implement and Adapt: The final step is to implement the resilience-building strategy and to monitor its effectiveness. This should be an iterative process, with the strategy being regularly reviewed and adapted based on new information and changing conditions.
Common Challenges:
- Resistance to Change: One of the biggest challenges is overcoming resistance to change. People are often comfortable with the status quo and may be reluctant to embrace a new way of thinking.
- Short-term vs. Long-term Trade-offs: Building resilience often involves making short-term sacrifices for long-term gains. This can be a difficult sell, especially in political and economic systems that are focused on short-term results.
- The Difficulty of Measuring Resilience: Resilience is a complex and multi-faceted concept that is difficult to measure. This can make it challenging to track progress and to demonstrate the value of resilience-building efforts.
Success Factors:
- A Strong and Inclusive Vision: A clear and compelling vision for a more resilient future can help to motivate and inspire action.
- Collaborative Leadership: Building resilience requires a collaborative approach to leadership, with leaders from different sectors and at different levels working together.
- A Culture of Learning: A culture that values learning, experimentation, and adaptation is essential for building resilience in a constantly changing world.
- Sustained Investment: Building resilience is a long-term process that requires a sustained investment of time, money, and other resources.
6. Evidence & Impact
Notable Adopters:
- The Great Barrier Reef Marine Park Authority (GBRMPA): GBRMPA has explicitly adopted a resilience-based management framework to address the multiple threats facing the Great Barrier Reef, including climate change, pollution, and overfishing. [8]
- The Rockefeller Foundation: Through its 100 Resilient Cities initiative, the Rockefeller Foundation has invested heavily in promoting resilience thinking and practice in cities around the world. [9]
- The Stockholm Resilience Centre: As a leading research institute in the field of resilience, the Stockholm Resilience Centre has been instrumental in developing and applying resilience thinking in a wide range of contexts, from the Arctic to the tropics. [1]
- The US Forest Service: The US Forest Service has been exploring the use of resilience thinking to manage national forests in the face of increasing wildfire risk and other disturbances. [10]
- The World Bank: The World Bank has been increasingly incorporating resilience thinking into its development projects, particularly in the areas of disaster risk reduction and climate change adaptation. [11]
Documented Outcomes:
- Improved Water Governance in the Limpopo River Basin: A project in the Limpopo River Basin in Southern Africa used a resilience-based approach to improve water governance and enhance the livelihoods of local communities. The project helped to build trust and collaboration among different stakeholders, and it led to the development of more equitable and sustainable water allocation arrangements. [12]
- Enhanced Community Resilience in Kristianstad Vattenrike, Sweden: The Kristianstad Vattenrike, a wetland area in southern Sweden, is a classic example of how resilience thinking can be used to transform a degraded ecosystem into a valued community asset. Through a collaborative process involving local stakeholders, the area has been restored and is now a UNESCO Biosphere Reserve. [1]
- More Effective Conservation in the Galapagos Islands: The Galapagos Islands are another example of a place where resilience thinking has been applied to great effect. By focusing on the resilience of the entire social-ecological system, managers have been able to develop more effective conservation strategies that take into account the needs of both people and nature. [13]
Research Support:
- The Resilience Alliance: The Resilience Alliance is a global network of scientists and practitioners who are dedicated to advancing the science and practice of resilience. The Alliance has published a large body of research on resilience, including numerous case studies and theoretical papers. [14]
- The Stockholm Resilience Centre: The Stockholm Resilience Centre is another leading research institution in the field of resilience. The Centre has conducted a wide range of research on resilience, from the local to the global scale. [1]
- The Intergovernmental Panel on Climate Change (IPCC): The IPCC has increasingly incorporated the concept of resilience into its assessments of climate change impacts, adaptation, and vulnerability. The IPCC’s reports provide a comprehensive overview of the latest scientific research on resilience. [15]
7. Cognitive Era Considerations
Cognitive Augmentation Potential:
- AI-powered Monitoring and Early Warning Systems: AI and machine learning algorithms can be used to analyze vast amounts of data from sensors, satellites, and other sources to monitor the health of social-ecological systems in real-time. This can provide early warning of potential problems, such as disease outbreaks, ecosystem degradation, and social unrest, allowing for more timely and effective interventions.
- Enhanced Scenario Planning and Modeling: AI can be used to develop more sophisticated and realistic models of complex adaptive systems. This can help to improve our ability to explore a wider range of plausible futures and to identify more effective resilience-building strategies.
- Personalized Learning and Decision Support: AI-powered tools can provide personalized learning and decision support to individuals and groups, helping them to better understand the principles of resilience thinking and to apply them in their own contexts.
Human-Machine Balance:
While AI and automation have the potential to greatly enhance our ability to build resilience, they are not a substitute for human judgment, creativity, and collaboration. The uniquely human capacities for empathy, ethical reasoning, and building trust will remain essential for navigating the complex social and political dimensions of resilience.
- Ethical Considerations and Value Judgments: Decisions about what to make resilient and for whom are inherently political and involve value judgments that cannot be outsourced to machines. These decisions require a process of public deliberation and debate, in which all stakeholders have a voice.
- Building Trust and Social Capital: Building trust and social capital is a fundamentally human process that cannot be automated. It requires face-to-face interaction, open communication, and a willingness to find common ground.
- Fostering Creativity and Innovation: While AI can be a powerful tool for generating new ideas, it is ultimately up to humans to foster a culture of creativity and innovation, and to translate new ideas into action.
Evolution Outlook:
In the cognitive era, resilience thinking is likely to become even more important as we grapple with a growing number of complex and interconnected challenges, from climate change and pandemics to social and political instability. The framework itself is also likely to evolve, as we learn more about the dynamics of complex adaptive systems and as new technologies and tools become available.
- Integration with other Frameworks: Resilience thinking is likely to become more integrated with other frameworks, such as systems thinking, complexity theory, and sustainability science.
- A Greater Focus on Urban Resilience: As the world becomes increasingly urbanized, there will be a growing need to apply resilience thinking to the challenges facing cities.
- A Shift from Resilience to Transformation: In some cases, simply building resilience to existing conditions may not be enough. We may need to fundamentally transform our systems to create a more just and sustainable future. The concept of “transformative resilience” is likely to become increasingly important in the years to come.
8. Commons Alignment Assessment (v2.0)
This assessment evaluates the pattern based on the Commons OS v2.0 framework, which focuses on the pattern’s ability to enable resilient collective value creation.
1. Stakeholder Architecture: The framework’s emphasis on broad participation and polycentric governance establishes a distributed architecture of Rights and Responsibilities. It inherently values a wide range of human and organizational stakeholders in the management of social-ecological systems. While not explicitly naming future generations or autonomous agents, its focus on long-term sustainability and adaptability creates a foundation for their inclusion.
2. Value Creation Capability: Resilience thinking directly enables collective value creation by focusing on the long-term health and adaptive capacity of a system, rather than narrow economic outputs. It fosters the creation of social value through collaboration, ecological value by maintaining ecosystem functions, and knowledge value through continuous learning and experimentation. This ensures the system can continue producing diverse forms of value for all stakeholders over time.
3. Resilience & Adaptability: This is the core strength of the pattern. The seven principles provide a comprehensive toolkit for designing systems that can thrive on change, adapt to complexity, and maintain coherence under stress. By managing diversity, connectivity, and feedback loops, the framework offers a robust architecture for navigating uncertainty and avoiding collapse.
4. Ownership Architecture: The principles of co-management and polycentric governance shift the concept of ownership from centralized control to a distributed model of stewardship. This implies that ownership is defined by a set of Rights and Responsibilities shared among stakeholders, rather than by monetary equity alone. The framework provides the conceptual basis for this shift, even if it doesn’t prescribe specific legal or financial structures.
5. Design for Autonomy: The framework is highly compatible with autonomous systems, DAOs, and AI. Its principles of modularity (managing connectivity), adaptive management, and decentralized control (polycentric governance) provide a blueprint for designing systems with low coordination overhead. The emphasis on learning and experimentation aligns perfectly with the iterative nature of AI development.
6. Composability & Interoperability: As a meta-framework, Resilience Thinking is exceptionally composable. It can be layered on top of other patterns for governance, economic models, or social structures to enhance their resilience and adaptability. It provides a common language and set of principles for building larger, interoperable systems of value creation.
7. Fractal Value Creation: The pattern’s logic is inherently fractal, as its principles apply equally to individuals, organizations, ecosystems, and global systems. This allows the value-creation logic of resilience to be scaled and replicated across different levels of a system, creating a coherent and robust architecture for value creation at all scales.
Overall Score: 5 (Value Creation Architecture)
Rationale: The Resilience Framework provides a complete and holistic architecture for creating resilient systems, which is the foundation for sustained collective value creation. It addresses all seven pillars of the v2.0 framework to a significant degree, offering a new paradigm for management and governance that moves beyond optimization and control towards adaptability and evolution.
Opportunities for Improvement:
- Explicitly incorporate the rights of non-human stakeholders (e.g., ecosystems, AI agents) into its stakeholder architecture.
- Develop more concrete methodologies and tools for designing and implementing polycentric governance and shared ownership models in practice.
- Integrate more directly with economic models that can quantify and incentivize the creation of non-monetary value, such as resilience, social capital, and ecological health.
9. Resources & References
Essential Reading:
- Walker, B., & Salt, D. (2006). Resilience Thinking: Sustaining Ecosystems and People in a Changing World. Island Press. (This is the foundational text that introduced the concept of resilience thinking to a broad audience.)
- Walker, B., & Salt, D. (2012). Resilience Practice: Building Capacity to Absorb Disturbance and Maintain Function. Island Press. (This book provides practical guidance on how to apply resilience thinking in a variety of contexts.)
- Folke, C., Biggs, R., Norström, A. V., Reyers, B., & Rockström, J. (2016). Social-ecological resilience and biosphere-based sustainability science. Ecology and Society, 21(3). (This article provides a more academic overview of the concept of social-ecological resilience.)
Organizations & Communities:
- The Resilience Alliance: A global network of scientists and practitioners dedicated to advancing the science and practice of resilience. (https://www.resalliance.org/)
- The Stockholm Resilience Centre: A leading international research center on resilience and sustainability. (https://www.stockholmresilience.org/)
Tools & Platforms:
- The Resilience Assessment Workbook: A tool developed by the Resilience Alliance to help practitioners assess the resilience of social-ecological systems. (https://www.resalliance.org/resilience-assessment)
References:
[1] Stockholm Resilience Centre. (2015, February 19). Applying resilience thinking. Retrieved from https://www.stockholmresilience.org/research/research-news/2015-02-19-applying-resilience-thinking.html
[2] Scheffer, M., Carpenter, S., Foley, J. A., Folke, C., & Walker, B. (2001). Catastrophic shifts in ecosystems. Nature, 413(6856), 591-596.
[3] Peterson, G. D., Cumming, G. S., & Carpenter, S. R. (2003). Scenario planning: a tool for conservation in an uncertain world. Conservation biology, 17(2), 358-366.
[4] Holling, C. S. (1978). Adaptive environmental assessment and management. John Wiley & Sons.
[5] Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. Simon and schuster.
[6] North, D. C. (1990). Institutions, institutional change and economic performance. Cambridge university press.
[7] Westley, F., Olsson, P., Folke, C., Homer-Dixon, T., Vredenburg, H., Loorbach, D., … & van der Leeuw, S. (2011). Tipping toward sustainability: emerging pathways of transformation. Ambio, 40(7), 762-780.
[8] Great Barrier Reef Marine Park Authority. (n.d.). Resilience. Retrieved from https://www.gbrmpa.gov.au/our-work/resilience
[9] The Rockefeller Foundation. (n.d.). 100 Resilient Cities. Retrieved from https://www.rockefellerfoundation.org/100-resilient-cities/
[10] United States Forest Service. (n.d.). Resilience. Retrieved from https://www.fs.usda.gov/managing-land/resilience
[11] The World Bank. (n.d.). Resilience. Retrieved from https://www.worldbank.org/en/topic/resilience
[12] Biggs, R., Westley, F. R., & Carpenter, S. R. (2010). Navigating the back loop: fostering social innovation and transformation in ecosystem management. Ecology and Society, 15(2).
[13] Walsh, F. J., Dambacher, J. M., & artesan, C. (2016). A social-ecological network analysis of the Galapagos marine-terrestrial ecosystem. Galapagos Report, 2015-2016, 129-137.
[14] Resilience Alliance. (n.d.). About Us. Retrieved from https://www.resalliance.org/about-us
[15] Intergovernmental Panel on Climate Change. (2014). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.