SES Framework
Also known as: Social-Ecological Systems Framework, Ostrom SES Framework, Coupled Human-Natural Systems Framework, Multi-Tier SES Diagnostic Framework
The social-ecological systems (SES) framework, set out by Elinor Ostrom in her 2009 Science paper, is a multi-tier diagnostic structure for analyzing why some coupled human-natural systems are governed sustainably and others are not. It treats a social-ecological system as the interplay of four core subsystems, a resource system, the resource units it produces, a governance system, and the users, all embedded in broader social, economic, and political settings and related ecosystems. Each core subsystem unpacks into second- and lower-tier variables, giving a shared, nested vocabulary of dozens of attributes that can be drawn on selectively for a given question. The framework extends Ostrom's earlier Institutional Analysis and Development work to tightly coupled human-environment systems and is designed to support cumulative, comparable diagnosis of sustainability, including the conditions under which users self-organize to manage a resource.
Key highlights
- Gives coupled human-natural systems a shared multi-tier vocabulary, enabling comparable, cumulative diagnosis across very different cases.
- Integrates ecological and social variables in one structure rather than treating the human and natural sides separately.
- Is diagnostic and selective, letting researchers draw the variables relevant to a question instead of forcing an exhaustive checklist.
- Directly operationalizes the question of when users self-organize, linking a set of measurable attributes to the likelihood of self-governance.
Intuition
This section is available to Pro members. Upgrade to Pro
How it works
This section is available to Pro members. Upgrade to Pro
When to use it
Use the SES framework when you are studying a tightly coupled human-environment system, such as a fishery, forest, irrigation system, rangeland, or watershed, and you want a structured, comparable way to diagnose its sustainability or its potential for self-governance. It is well suited to comparative and cumulative research, because its shared multi-tier vocabulary lets findings from different systems be combined, and to mixed-methods diagnosis that draws on ecological and social data together. It is less appropriate when you need a predictive dynamic model of system behavior over time, where simulation or systems-dynamics methods fit better, or when the question is purely social or purely ecological with no genuine coupling; for the institutional detail of the governance subsystem it nests naturally with the IAD framework and the commons design principles.
Strengths & limitations
- Gives coupled human-natural systems a shared multi-tier vocabulary, enabling comparable, cumulative diagnosis across very different cases.
- Integrates ecological and social variables in one structure rather than treating the human and natural sides separately.
- Is diagnostic and selective, letting researchers draw the variables relevant to a question instead of forcing an exhaustive checklist.
- Directly operationalizes the question of when users self-organize, linking a set of measurable attributes to the likelihood of self-governance.
- The large variable menu can become unwieldy, and selecting and operationalizing the right tiers requires substantial expertise and judgment.
- It is a framework, not a predictive theory, so it organizes diagnosis but does not by itself forecast system dynamics over time.
- Measuring many second-tier variables consistently is data-intensive, and comparability suffers when studies operationalize them differently.
- Cross-scale and external drivers, captured only loosely as settings and related ecosystems, can be underweighted relative to the focal SES.
Common pitfalls
This section is available to Pro members. Upgrade to Pro
Applications
This section is available to Pro members. Upgrade to Pro
Frequently asked
How is the SES framework different from the IAD framework?
They are closely related and were both developed by Ostrom. The IAD framework is a general institutional-analysis scaffold centered on the action situation and its rules, applicable to any collective-action problem. The SES framework extends and specializes that thinking for tightly coupled human-environment systems, replacing the generic structure with four concrete subsystems, the resource system, resource units, governance system, and users, and a rich multi-tier menu of ecological and social variables. In Ostrom's 2011 account, the SES framework nests the IAD's action situation inside the interactions of these subsystems, so IAD supplies the institutional detail while SES supplies the coupled-system architecture.
Do I have to measure all the SES variables to use the framework?
No. Ostrom designed the framework explicitly as a diagnostic toolkit, not a mandatory checklist. The full multi-tier hierarchy contains far more variables than any single study needs, and the intended practice is to select the tiers and variables that are diagnostic for your particular question, guided by theory and prior findings about what drives the outcome you care about. Trying to populate every variable is a common misuse that makes the analysis unwieldy; the value lies in using the shared vocabulary to measure the relevant subset comparably.
What does the framework say about when communities can govern resources themselves?
Self-organization is one of the framework's headline applications. Ostrom's 2009 paper singled out roughly ten second-tier variables that jointly raise or lower the chance that users will organize to govern a resource, including the size, productivity, and predictability of the resource system, the mobility of the resource units, and, among users, the number involved, leadership, shared norms or social capital, and knowledge of the system. By assessing how these line up in a case, the framework yields a structured diagnosis of whether self-governance is likely to emerge, helping decide when to support user self-organization rather than impose external control.
Sources
- 1.Ostrom, E. (2009). A General Framework for Analyzing Sustainability of Social-Ecological Systems. Science, 325(5939), 419-422.
- 2.Ostrom, E. (2011). Background on the Institutional Analysis and Development Framework. Policy Studies Journal, 39(1), 7-27.
You have read it. What now?
Cite this page
ScholarGate. (2026, June 23). SES Framework. ScholarGate. https://scholargate.app/environmental-sociology/social-ecological-systems-framework