GLIMPSE GRASP EXPLORE DEEP DIVE
Systems

The system is not the parts. It is what happens between them.

Landscape systems are complex systems: countless heterogeneous elements whose interactions generate patterns that no individual element controls.

Interaction produces behaviourA system is never the sum of its parts. It is the product of their interaction.
Patterns emergeLocal decisions combine into system-level behaviour that may be impossible to predict from any one actor.
Change is nonlinearSmall disturbances can disappear, ripple, cascade or contribute to a sudden tip.
Explore system conditions ↓
Watch the relationships.No single node creates the moving pattern. The behaviour emerges from the connections between them.
Glimpse

Complexity changes what intervention can promise.

Complex systems are open, adaptive and continuously self-organizing. We can read their current patterns and heading, but we cannot specify in advance exactly how the system will respond.

Nonlinear Similar inputs can produce very different outcomes.

Context and interaction matter, so cause and effect do not unfold in fixed proportional ways.

Small pushes do not guarantee small results, and big inputs do not guarantee big ones.
Emergent System-level patterns appear without central control.

Order arises through interaction among many agents following local rules.

What matters may only become visible when you zoom out from individual actors to the wider pattern.
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Uncertain Important effects are often understood only in retrospect.

You can identify tendencies and opportunity points, but not fully predict system response in detail.

Planning remains essential. A systems lens adds explicit space for uncertainty, feedback and adjustment as the system changes.
Adaptive The system responds to what you do.

Every intervention becomes part of the next context, altering the conditions under which future action unfolds.

The practical implication is adaptivity: keep clear objectives and accountability frameworks, read the response, and use agreed review points to refine assumptions and action.
Grasp

Three conditions shape how a system self-organizes.

We use Glenda Eoyang’s CDE model as a practical way to read system conditions: Container, Difference and Exchange. These are not fixed categories; in real landscapes each condition sits somewhere along a spectrum.

Background on the model: Glenda Eoyang’s brief introduction to the CDE model.

Container: what bounds the system?Containers have edges rather than rigid boundaries. Tight containers increase the probability of interaction; loose containers may barely cohere.
Explore

Will your intervention fade – or cascade?

The scale of the intervention does not decide the scale of the result. What matters is the feedback architecture it encounters.

FOMENT
FOMENT
Ripple
A disturbance travels outward but weakens with distance. Nodes closest to the original push are affected most, and the effect fades as it moves away.
Inbetweenness

What passes between elements matters more than what the elements are.

Landscape patterns, fragmentation, integration and heading are produced in relationships: in strand crossings, regulatory exchanges and interaction spaces.

Relate
Look between actors
Do not stop at cataloguing stakeholders. Ask what passes between them and what those exchanges produce.
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Reach
Everything is horizontal
What looks like vertical power is accumulated relational reach, not literal position above the landscape.
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Extend
Influence travels through relations
Think extending, replicating, stabilising and rippling rather than simply scaling up.
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Power
Relationships regulate
Power is the key content of this inbetweenness because interaction modifies what others can do.
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Patterns, state, heading, tipping

Direction can change before the state does.

A pattern is an observed regularity. A state is a relatively stable configuration of patterns. Heading is the direction the system is currently moving. A tip is a qualitative reorganization into a new state.

Same state, changing headingThe current state still holds, but the system is beginning to pull towards a different future.
CURRENT STATE
POTENTIAL NEW STATE
Emergence

Coherent patterns can emerge without anyone directing them.

The murmuration is useful because each bird responds to nearby birds and to the changing flock, while the flock as a whole continuously reorganizes into new forms. For a landscape practitioner, the lesson is practical: watch for patterns that emerge from many local interactions rather than looking only for a single actor or plan that caused them.

Pattern shifting
Why this matters in practiceA landscape can likewise show a coherent system-level pattern even when no actor intended or controls it. The practitioner’s job is to read the interactions that are generating that pattern, then look for where those interactions might shift.
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Where next?

Systems gives us the language for behaviour, feedback, emergence and heading. The next concepts show where that behaviour is patterned and how intervention can find openings for change.