The Social-Ecological Systems (SES) Framework is an analytical tool for understanding how human communities and the natural environments they depend on function as a single, intertwined system rather than as separate domains. Developed primarily by political scientist and Nobel laureate Elinor Ostrom, the framework identifies a set of nested variables that shape whether communities can sustainably manage shared resources like fisheries, forests, and water systems.1PubMed. A general framework for analyzing sustainability of social-ecological systems It has become one of the most widely used tools in sustainability science, but its real contribution is less about providing answers and more about giving researchers and policymakers a structured way to ask the right questions.
How the Framework Is Organized
The SES Framework is built around the idea that any situation involving people managing a natural resource can be broken into a handful of core subsystems. In Ostrom’s original formulation, there are first-tier components representing the major categories: the resource system (a lake, a forest, an irrigation network), the resource units (fish, trees, water flows), the governance system (the rules and organizations that regulate use), and the users (the individuals and communities who depend on the resource). Each of these first-tier components is then divided into more specific second-tier variables.2Ecology and Society. A methodological guide for applying the social-ecological system (SES) framework: a review of quantitative approaches External factors like broader political settings, economic conditions, and climate also feed into the picture.
Ostrom initially identified ten subsystem variables that influence whether communities can self-organize to manage resources sustainably.1PubMed. A general framework for analyzing sustainability of social-ecological systems Over time, subsequent researchers expanded the list considerably, cataloging dozens of second-tier and even third-tier variables. The point of this nested architecture is not to create a rigid checklist but to ensure that analysts do not accidentally ignore a crucial factor. Someone studying a coral reef fishery, for instance, might focus on the biology of the fish stocks and the harvest rules but overlook the social trust among fishers or the influence of distant markets. The framework’s tiered structure is designed to catch those blind spots.
One thing worth noting is that the framework is diagnostic rather than predictive. It does not tell you that if variable X has value Y, sustainability will follow. Instead, it helps you map the moving parts so you can compare one case to another and identify which combinations of conditions tend to produce better or worse outcomes. Think of it less like a formula and more like a detailed inventory checklist that different research teams can fill in for different contexts and then compare notes.
Feedback Loops and Why They Matter
The most important insight the SES perspective delivers is that human and natural systems do not just sit side by side; they constantly shape each other through feedback loops. Fishers who overexploit a reef degrade the ecosystem, which reduces fish stocks, which changes fishing behavior, which either accelerates collapse or triggers new governance arrangements. These reciprocal effects run in both directions simultaneously, and ignoring them leads to badly skewed conclusions. One simulation study demonstrated that accounting for bidirectional feedbacks between social governance and ecological health significantly changed the estimated strength of causal effects compared to models that treated the relationship as one-directional.3Ecological Modelling. Understanding feedbacks in social–ecological systems using non-recursive structural equation models
These feedback dynamics connect to a broader concept in resilience theory: the adaptive cycle. Systems tend to alternate between long phases of growth and accumulation and shorter, sometimes abrupt, periods of disruption and reorganization. These cycles do not operate in isolation. They interact across spatial and temporal scales in a pattern researchers call panarchy, where a disruption at a small scale can cascade upward and a large-scale shift can reshape local conditions.4Ecology and Society. Panarchy: ripples of a boundary concept A drought that destroys local grazing land (small-scale ecological disruption) can trigger migration patterns that reshape national land-use policy (large-scale social reorganization), which then feeds back down to how local communities manage what remains.
Adaptive governance systems often emerge from these dynamics. Social networks, bridging organizations, and multi-level decision-making structures form organically as communities try to navigate uncertainty. Research on these governance arrangements has found that bridging organizations lower the costs of collaboration and conflict resolution, and that enabling legislation can support community self-organization without dictating outcomes from the top down.5Annual Review of Environment and Resources. ADAPTIVE GOVERNANCE OF SOCIAL-ECOLOGICAL SYSTEMS A resilient social-ecological system can even use crisis as an opportunity to reorganize into a more desirable state, though that optimistic framing does not always play out in practice.
Where the Framework Has Been Applied
The SES Framework was designed to be general enough to apply across very different contexts, and researchers have taken that invitation seriously. Fisheries, forestry, irrigation, and protected-area management have all been studied through its lens. A few cases illustrate both its strengths and its limits.
In small-scale fisheries along Baja California Sur, Mexico, researchers used the framework to identify distinct social-ecological regions and found something counterintuitive: regions that performed well on one dimension of sustainability did not necessarily perform well on others. A community with strong governance might still have degraded fish stocks, or a biologically healthy area might lack the social cohesion for effective management.6PubMed Central. Operationalizing the social-ecological systems framework to assess sustainability That finding reinforced a core argument of the SES approach: you cannot evaluate sustainability by looking at only the ecological side or only the social side. The coupling between them matters.
In the Solomon Islands, an eight-year community-based fisheries management project across five villages was analyzed using the SES Framework after the fact. The diagnosis revealed that successful outcomes were tied to effective information sharing, harvesting rules that blended traditional and contemporary practices, strong leadership, and resource monitoring. Where the framework was especially useful was in identifying what went wrong: uneven power differentials between groups undermined positive outcomes in communities that otherwise had the ecological and institutional ingredients for success.7Marine Policy. Strengthening post-hoc analysis of community-based fisheries management through the social-ecological systems framework
Community forestry in Nepal’s mid-hills offers a different kind of lesson. Researchers used the SES Framework to examine how the social-ecological context had shifted since the community forestry model was first developed in the 1990s. What they found was transformational change: demographic shifts, economic development, evolving government policy, and environmental discourse had altered the landscape so fundamentally that the original institutional arrangements no longer fit. Participation and voluntary contribution to forest management had declined sharply, with voluntary contributions dropping to about a fifth of total management costs as communities increasingly relied on paid labor.8ScienceDirect (Elsevier / Land Use Policy). Community forestry in a changing context: A perspective from Nepal’s mid-hill The framework helped make visible a problem that would have been hard to see without systematically tracking changes across social and ecological variables over decades.
Power, Equity, and What the Framework Can Miss
One of the most persistent criticisms of the SES Framework is that its original design does not handle power dynamics particularly well. Ostrom’s variables catalog resource characteristics, governance rules, and user attributes, but power relations between groups are not given the same structural prominence. Several researchers have worked to address this gap by explicitly mapping different forms of power onto the framework’s variables.
One study that did this found a revealing split. Path-dependent institutional power, where groups had historically shaped the rules, was associated with positive social-ecological outcomes. But a second form of power produced strongly negative results: when groups were dissatisfied with the rules governing resource use but were unable to enter collective decision-making processes to change those rules, long-term sustainable use patterns were far less likely to develop.9Springer Link. Studying Power with the Social-Ecological System Framework In other words, exclusion from governance processes actively undermines sustainability, and the standard SES variables do not automatically flag that problem.
A related limitation involves scale. Decisions made at local levels are often shaped by actors at much larger scales, such as national governments, international markets, or distant consumers of exported resources. One attempt to address this developed a “cross-scale influence-dependence framework” to analyze power asymmetries and how the benefits of ecosystem services are distributed among different groups across spatial scales.10PubMed Central. A novel telecoupling framework to assess social relations across spatial scales for ecosystem services research The SES Framework on its own does not do this particularly well, and researchers studying globally connected supply chains or transboundary resources often need to bolt on additional analytical tools.
Polycentric Governance and Institutional Design
One area where SES thinking has had an outsized practical influence is in how we design governance institutions for natural resource management. The traditional assumption in both conservation and development policy was that effective governance meant centralized authority: a national park run by a government agency, a fishery managed by a single regulator. The SES perspective challenged that assumption by showing that many of the world’s most durable resource management systems are polycentric, meaning they involve multiple overlapping centers of authority that interact with each other rather than operating in a strict hierarchy.
Studies of community forests in eastern North America found that governing bodies with polycentric features, where information flowed between different institutional structures and decision-making was distributed, developed tighter networks that were better able to sustain dynamic adjustments over time. The researchers described this as conducive to adaptive governance, meaning the institutions could evolve in response to changing ecological and social conditions rather than being locked into a fixed regulatory approach.11International Journal of the Commons. Comparing polycentric configuration for adaptive governance within community forests: Case studies in Eastern North America
This does not mean that decentralization is always better. The evidence from SES research is more nuanced: the key is matching the governance structure to the scale and complexity of the social-ecological system in question. A small community fishery with a clearly defined resource boundary can function well with local self-governance. A transboundary watershed shared by three countries probably cannot. The SES Framework’s value here is in mapping the variables that determine which governance configuration is likely to work, rather than prescribing a one-size-fits-all answer.
Protected Areas as Social-Ecological Systems
National parks and protected areas might seem like the most straightforward conservation tool: draw a boundary, keep people out, let nature recover. But SES research has reframed protected areas as social-ecological systems themselves, whose ecological outcomes depend heavily on the people living around, within, and in connection with them.12PubMed. Protected areas as social-ecological systems: perspectives from resilience and social-ecological systems theory A park surrounded by hostile communities who resent lost access to resources faces very different sustainability prospects than one embedded in a supportive social landscape.
A study of Qilian Mountain National Park in northwestern China attempted to operationalize the SES Framework for a protected area by measuring the development level of each subsystem and assessing how well they coordinated with each other. The results showed that the park’s ecosystems were in better condition than its social systems, and the coordination among the four subsystems was at what the researchers categorized as “primary coordination,” indicating room for improvement in how the ecological, social, governance, and resource-unit dimensions interacted.13Ecology and Society. Operationalizing the social-ecological systems framework in a protected area: a case study of Qilian Mountain National Park, Northwestern China This kind of diagnostic work is the framework’s bread and butter: identifying where the weak links are so management interventions can be targeted rather than generic.
Ecosystem Services Through an SES Lens
The concept of ecosystem services, the benefits people get from nature such as clean water, pollination, flood protection, and recreational value, has traditionally been framed as something nature provides and humans receive. SES thinking has pushed back on that framing. A growing body of work argues that ecosystems cannot deliver services without human inputs, and that ecosystem services are better understood as coproducts of coupled social-ecological systems.14Europe PMC / iScience. A theoretical rethinking of ecosystem services from the perspective of social-ecological system The quantity and value of a service depend on the interaction between what the ecosystem can supply and what human communities demand, invest in, and are organized to capture.
This reframing has real consequences. If clean water is purely an ecosystem service, then protecting a watershed means protecting the forest. But if clean water is a coproduct, then the social infrastructure matters just as much: Who monitors water quality? Who enforces land-use rules? Who pays for the institutions that maintain the watershed? A farmer downstream who benefits from clean water is not just a passive recipient; the governance system that protects the upstream forest is part of the production chain. SES thinking forces you to account for both halves.
Expanding the Framework for Cities and Climate
Two of the most active frontiers in SES research involve urban systems and climate adaptation. Cities pose a particular challenge because they add a layer of technological infrastructure that the original SES Framework was not really built to handle. Water treatment plants, electrical grids, transportation networks, and digital communication systems all mediate the relationship between urban populations and their environment in ways that a fishery or a forest does not typically involve.
This gap has led to the development of the Social-Ecological-Technological Systems (SETS) framework, which extends SES thinking by explicitly incorporating technological infrastructure as a core subsystem. SETS enables a more nuanced analysis of how environmental hazards interact with infrastructure and how those impacts are distributed across different segments of a population, particularly along lines of equity.15Sustainable Cities and Society. Resilience of urban social-ecological-technological systems (SETS): A review A heatwave is an ecological event, but its consequences depend on whether neighborhoods have tree cover (ecological), whether residents have access to air conditioning (technological), and whether cooling centers are available and accessible (social and governance). SETS provides a structure for analyzing all three simultaneously.
Climate adaptation more broadly has become a major application area for SES approaches. The argument is that adaptation is not purely an ecological problem (building seawalls) or purely a social problem (warning systems), but a coupled challenge that requires understanding how interventions in one subsystem ripple through the others. Researchers have advocated for moving beyond the concept of “limits to adaptation” toward understanding social-ecological limits to adaptation, integrating both human and natural system constraints into development planning.16Wiley Online Library. Social‐ecological systems approach for adaptation to climate change
Resilience, Sustainability, and the Tension Between Them
Two concepts sit at the heart of nearly all SES research: resilience and sustainability. They are related but not identical, and the tension between them is more interesting than it might first appear. Resilience refers to a system’s ability to absorb disturbance and reorganize while retaining its basic function and structure. Sustainability refers to whether the system can meet current needs without compromising the ability of future generations to meet theirs. A system can be resilient but unsustainable, as when an overfished system keeps bouncing back from collapse but at progressively lower levels of productivity. And a system can be sustainable in theory but fragile, meeting all needs in a narrow range of conditions but shattering if disturbed.
Recent work has tried to reconcile these two concepts by focusing on the fundamental linkages between humans and nature: the flows of materials and energy driven by economic production, and the feedback from nature in response to those activities. Under this framing, sustainability requires that these flows stay within environmental boundaries while meeting socioeconomic goals, and resilience means those flows can resist disruption and recover quickly if disrupted.17SpringerLink (Regional Environmental Change). Bridging resilience and sustainability: a reconciled framework for navigating social-ecological systems The practical implication is that policies aimed at sustainability (emission reductions, harvest limits) and policies aimed at resilience (diversifying livelihoods, building institutional flexibility) need to be designed together. Pursuing one without the other creates systems that are either rigid and vulnerable or adaptive but heading in the wrong direction.
Indigenous and Local Knowledge in SES Research
A dimension that has gained increasing attention is the role of Indigenous and local knowledge systems in managing social-ecological systems. Much of the early SES literature drew on formal institutional analysis and Western scientific frameworks, but a growing body of research has documented how Indigenous conceptualizations of nature contribute to the long-term maintenance of functioning social-ecological systems. These knowledge systems often encode deep observational understanding of ecological dynamics accumulated over generations, enhancing the overall understanding of complex coupled systems and articulating forms of resistance to degradation that formal science sometimes overlooks.18SpringerLink / CrossRef. Indigenous and Local Knowledge Contributions to Social-Ecological Systems’ Management
The Solomon Islands case mentioned earlier is a concrete example: the most successful fisheries management outcomes blended traditional practices with contemporary approaches. This is not about romanticizing traditional knowledge or treating it as inherently superior to scientific management. It is about recognizing that local knowledge often captures variables and feedback relationships that external analysts miss, especially when those analysts arrive with a framework designed around variables that may not map cleanly onto the local context. The SES Framework’s strength here is that its tiered variable structure is flexible enough to accommodate these knowledge inputs, but whether researchers actually incorporate them depends on how the framework is applied in practice.
Modeling Challenges and Methodological Frontiers
Translating the SES Framework from a diagnostic tool into quantitative models that can simulate system behavior remains one of the field’s hardest challenges. The framework itself is essentially a classification system: it tells you what to look at, not how to model it. Researchers have brought a wide range of quantitative methods to the table, but no single modeling approach has emerged as dominant.
One promising direction is exploratory modeling, an iterative strategy that begins with simple, stylized models informed by empirical observations and progressively builds toward more detailed representations. Rather than trying to construct a high-fidelity simulation of an entire social-ecological system from the start, exploratory modeling uses repeated confrontation of alternative models with real-world data as stepping stones, gradually increasing the specificity and representational detail of the models.19Ecosphere. Exploratory modeling of social‐ecological systems This approach acknowledges that SES complexity often exceeds what any single model can capture, and that learning comes from comparing many imperfect models rather than perfecting one.
The challenge of modeling feedback loops, as discussed earlier, adds another layer of difficulty. Traditional statistical models assume one-directional causation, which fundamentally misrepresents how social-ecological systems work. Non-recursive approaches that can estimate reciprocal effects are technically demanding and data-hungry, and many SES applications still rely on simpler methods that cannot fully capture the bidirectional dynamics the framework is meant to illuminate.3Ecological Modelling. Understanding feedbacks in social–ecological systems using non-recursive structural equation models The gap between the framework’s conceptual ambition and the practical tools available to operationalize it is real, and closing it remains an active area of work across ecology, economics, and computational social science.