Living Systems Thinking: Exploring the Integral Patterns of Life

Understanding the natural world from a systems perspective is a little like hearing a symphony played by a full orchestra after a lifetime of listening to a single instrument. The notes were never the point. What matters is the interplay – the way a hundred separate lines resolve into something none of them contains alone.

This is the wager at the heart of living systems thinking: that the most important properties of life are not located in its parts, but in the relationships between them. It is a way of seeing that traces a long arc through twentieth- and twenty-first-century thought – from Fritjof Capra’s The Systems View of Life and Gregory and Nora Bateson’s work on relationship and context, through to Donella Meadows’ systems dynamics and Elinor Ostrom’s work on the commons, to the regenerative design of Daniel Christian Wahl, the biomimicry of Janine Benyus, the Prosocial Process, and Jeremy Lent’s vision of an ecological civilisation.

What follows is an introduction to the core shifts this way of seeing asks of us – the move from parts to wholes, from objects to relationships, from measuring to mapping – and then a look at why any of this actually matters for the work of designing and building initiatives with an explicit desire to create positive benefit for people and the planet. This is not, in any sense, an abstract exercise. How we see the world shapes what we believe is possible, and what we believe is possible shapes what we build. Change the seeing, and you change everything downstream of it.

The shift from parts to wholes

Systems thinking begins by reversing a habit so deep we rarely notice we have it: the habit of understanding something by taking it apart. The reductive method – isolate the component, study it in controlled conditions, reassemble the explanation from the pieces – has been extraordinarily powerful. It gave us modern chemistry, molecular biology, and the microprocessor. But it has a blind spot, and the blind spot is life.

Living systems are not merely the sum of their parts. Their defining characteristics arise from the organisation of the whole and cannot be found by dissecting the components. Consider the Australian bush. Its essence is not captured by cataloguing a single eucalypt or observing one koala in isolation. It lives in the interplay – flora, fauna, fire, soil, climate and deep time folding into one another to produce something with properties no single element possesses. Take the system apart to study it, and the very thing you were trying to understand is the first thing to disappear.

This is what Capra means when he says the systemic properties are properties of the whole. You cannot get to them by adding up the parts, because they were never in the parts to begin with. They are in the pattern.

 

It is inherently transdisciplinary

Living systems exist at every scale and in every domain – a cell, an organ, an organism, a family, a firm, an ecosystem, a bioregion, a biosphere. And because the same organising patterns recur across all of them, systems thinking is inherently transdisciplinary. It integrates and synthesises across fields that the modern university keeps in separate buildings, and it does so by attending to what they have in common rather than what separates them.

The principles that govern a healthy family turn out to rhyme with those that govern a healthy business, which in turn rhyme with those that govern a healthy ecosystem. Networks, feedback, nested scales, flows of energy and information, the balance between cooperation and competition – these show up everywhere, because life keeps solving the same problems in the same handful of ways. Learn to read the pattern in one place and you can read it in others.

This is precisely why we treat living systems thinking as the operating system of a bio and deep tech innovation hub rather than a nice idea to keep on a poster. For a deeper look at what happens when you take nature’s organising principles seriously inside an organisation, see our piece on regenerative leadership for deep tech and biotech startups.

The shift from objects to relationships

Here is where the worldview genuinely inverts. In the mechanistic picture, the world is a collection of discrete objects that happen to interact. In the systems picture, the relationships come first, and what we call an “object” is really just a relatively stable pattern within an inseparable web of relationships.

The boundaries we draw around things – this cell, that organism, this company – are useful conveniences, not fundamental features of reality. They are secondary. The web is primary. A tree is not a thing so much as a slow event: a standing knot of relationships between soil, water, light, fungi and air, holding its shape for a while before it lets go. Once you start seeing this way, it is difficult to stop. The world stops looking like a warehouse of objects and starts looking like a conversation.

For a more nuanced take on relationality – on the idea that meaning and life live between things rather than in them – it is worth sitting with Nora Bateson’s Warm Data Lab, which builds practices for perceiving the relationships across contexts that conventional analysis strips out, and Tyson Yunkaporta’s podcast The Other Others.

The shift from measuring to mapping

Traditional science measures. It weighs, counts and quantifies the objects in the physical world, and it has become superb at it. But relationships cannot be measured in the same way – you cannot put a relationship on a scale. Relationships can, however, be mapped.

When you study the repeated configurations of relationships – their patterns – you begin to see the organisation that holds a living system together. Systems thinking asks us to add this qualitative work of mapping and pattern-recognition to the quantitative work of measurement, not to replace one with the other. The map of a food web, a nutrient cycle, or a set of feedback loops tells you something the numbers alone never will: not how much, but how it hangs together. Donella Meadows’ classic essay on leverage points – places to intervene in a system is the finest short demonstration of why the map matters more than the measurement when you are trying to change something.

The shift from quantities to qualities

Following directly from mapping is a rehabilitation of the qualitative. For a few centuries, the qualities of things – colour, texture, the felt sense of a place, the character of a relationship – were quietly demoted to “secondary”, less real than the quantities that could be counted and modelled. Systems thinking pushes back.

Complexity theory is the clearest expression of the turn. It uses mathematics not to reduce phenomena to a single number but to reveal and analyse patterns – the branching of a river delta, the spirals of a shell, the strange attractors that organise apparently chaotic systems into recognisable shapes. It is mathematics in the service of qualities. The point is not to abandon rigour but to widen it, so that it can hold the things that actually matter about a living system and not just the things that happen to be easy to count.

The shift from structures to processes

In the mechanistic worldview, structures are fundamental and processes are what happens between them. Systems thinking flips this too. Every structure is understood as the visible manifestation of an underlying process – a temporary stability in an ongoing flow.

The Birrarung – the Yarra River – is not the water it contains at any given moment; that water is already gone. The river is the process of flowing, a persistent pattern maintained by continual transformation. Living structures are the same. A body replaces most of its molecules over time and yet remains recognisably itself, because what it is is not a fixed arrangement of matter but a self-renewing process. To understand a living thing, you have to understand it as a verb before you understand it as a noun.

From objective science to epistemic science

Systems thinking also asks a harder question about the observer. If what we call an “object” is really a pattern we have chosen to bound within a larger web of relationships, then we – the observers – are participating in defining what we study. Subjectivity is not a contaminant to be scrubbed out of science; it is embedded in the act of knowing itself.

This does not weaken scientific rigour. It makes epistemology – the study of how we know – a proper part of scientific theory rather than something we pretend to have left at the door. Science remains our best collaborative method for making sense of reality precisely because it is a shared discipline: common methods, standards and principles designed to hold steady across different observers. Acknowledging the observer’s role does not collapse into “anything goes”. It simply makes the practice honest about what it is doing. Henri Bortoft’s Goethean work on perception, and Iain McGilchrist’s account of the divided brain in The Master and His Emissary, both go deep on why the mode of attention we bring to the world partly determines the world we find.

From Cartesian certainty to approximate knowledge

The last shift is the most humbling. Systems thinking accepts that our understanding of the living world will always be partial and approximate. We are not building toward a final, complete, God’s-eye description of reality. We are building better and better models, improving our approximations over time, and holding them lightly enough to revise.

Far from weakening the scientific endeavour, this is what gives it its confidence and its longevity. A method that expects to be wrong in instructive ways, and is built to learn from the error, is far more robust than one that mistakes its current best model for the truth. The map is not the territory – and the whole point of a good map is that you keep redrawing it.

Capra’s four principles of life

If the shifts above describe how to see, Capra’s four principles of life describe what you see once you do. They are the closest thing living systems thinking has to a set of first principles, and – not coincidentally – they double as a design brief for anyone trying to build something that lasts.

Self-generating networks. Life organises itself in networks of relationships that continually renew and recreate themselves. A system’s essential properties arise from the pattern of those relationships rather than from its parts – which is the shift from objects to relationships, restated as biology.

Nested systems. Living systems nest within larger living systems – networks within networks. Each is an integrated whole within its own boundary and, at the same time, a part of a greater whole. Cells within tissues within organisms within ecosystems, all the way up and all the way down.

Open systems. Living systems stay open to continual flows of energy and matter, holding themselves far from equilibrium. Matter cycles, so that the waste of one organism becomes food for another, and a healthy system as a whole produces no net waste. Nature has no landfill.

Cognitive interactions. Every living system senses and responds to its environment through its own internal organisation. This is what makes living networks inherently adaptive, creative and intelligent – not intelligent in the human sense, but capable of learning, at every scale.

Read them together and a phrase suggests itself: life organises itself in networks that are inherently regenerative, creative and intelligent. That sentence is not a metaphor. It is a specification – and it is the one we keep returning to across our work on regenerative biomaterials and the blue bioeconomy.

 

From seeing to designing: nature as mentor

A worldview earns its keep the moment it changes what you do. And this is where living systems thinking stops being philosophy and starts being a practice – because if life has spent 3.8 billion years running a research programme in how to thrive on this planet without wrecking it, then the sensible move is to treat it as a mentor rather than an unlimited warehouse of resources to exploit.

This is the premise of biomimicry, the discipline Janine Benyus named and built. Her central insight compresses into six words: life creates conditions conducive to life. Where the industrial economy tends to create conditions hostile to it, organisms that have persisted across deep time have done so by fitting form to function, running on current sunlight, using a small and safe subset of materials, recycling everything, rewarding cooperation, banking on diversity and curbing their own excess from within. Benyus and her colleagues distilled these into Life’s Principles – a set of design lessons and a benchmark you can hold your own designs against – and made much of the underlying biology searchable through AskNature. The question at the centre of the practice is disarmingly simple: what would nature do here?

Daniel Christian Wahl takes the same lineage and turns it toward culture and economy. In Designing Regenerative Cultures, he argues that sustainability – merely doing less harm, holding steady at zero – is not an ambitious enough goal for a living being. The goal is regeneration: leaving a place healthier, more diverse and more alive than you found it. As Wahl puts it, we invented an economic system that runs against the basic rules for the long-term survival of any living system – and the good news buried in that sentence is that, since we invented those rules, we are free to reinvent them. Regeneration, in his framing, is not a destination but a direction; a verb, not a noun.

This is the move from extraction to participation, from control to reciprocity, from optimising outputs to caring for outcomes across whole systems. It is also, quietly, the design philosophy underneath everything we do – see our approach to financing a thriving bioeconomy for what it looks like when you take it into the unglamorous territory of capital.

From designing to civilisation: life-affirming principles at scale

If you follow this logic far enough, it stops being about products and starts being about the whole operating system. That is the terrain Jeremy Lent maps in Ecocivilization: Making a World That Works for All (2026). His diagnosis is bracing: our current civilisation’s tendencies toward extraction, exploitation and the accumulation of wealth in a few hands are not unfortunate side-effects to be regulated away. They are founding design principles. The system is functioning exactly as it was built to.

An ecological civilisation – “ecocivilisation” – would be one designed from the bottom up on different principles: life-affirming ones, drawn from the way living systems actually work. Two of Lent’s ideas travel especially well. The first is mutually beneficial symbiosis – the observation that life’s deepest successes come not from zero-sum competition but from arrangements where different parties discover a way of working together that benefits all of them. The second is fractal flourishing: in a healthy nested system, the wellbeing of the whole depends on the flourishing of each part, so that an individual’s thriving contributes to, rather than diminishes, the larger systems they are embedded in. Both are the four principles of life, translated into a politics.

Lent borrows a line from the chemist Ilya Prigogine that has become something of a rallying idea for this whole movement: when a system is far from equilibrium, small islands of coherence have the capacity to lift the entire system to a higher order. The strategic question that follows is a good one to sit with. Where are the islands of coherence, and how do we connect them?

The missing layer: how groups actually cooperate

There is an obvious gap in all of this. It is one thing to say that cooperation and mutually beneficial symbiosis are life’s winning strategies. It is another to get an actual group of humans – a team, a co-op, a board, a bioregion – to cooperate rather than quietly defect. Good intentions are not a mechanism.

This is where the Prosocial framework does real work. It builds on the Nobel Prize–winning research of Elinor Ostrom, who spent a career demonstrating – against the received wisdom of the “tragedy of the commons” – that communities can govern shared resources sustainably and equitably, but only when certain conditions are met. Ostrom distilled those conditions into eight core design principles: a strong shared identity and sense of purpose; fair distribution of costs and benefits; fair and inclusive decision-making; monitoring of agreed behaviours; graduated responses to unhelpful behaviour; fast and fair conflict resolution; the authority to self-govern; and good relationships with other groups across scales.

Paul Atkins, David Sloan Wilson and Steven Hayes generalised these principles beyond common-pool resources to groups of every kind, and paired them with tools from evolutionary and behavioural science to make them implementable rather than merely descriptive. The result is something close to a practical grammar for cooperation – a way of designing the “dark matter” of a group, the invisible values and relationships that quietly determine whether it regenerates or extracts. For an ecosystem builder, this is the layer where living systems thinking finally touches the everyday work of organising people, which is why it sits alongside Ostrom, Meadows and Bateson at the base of how we think about community.

A quick bonus caveat

None of this is a claim that reductionism and quantitative science are bad. They are indispensable, and living systems thinking would be far poorer without them. The point is subtler, and Iain McGilchrist gives it its sharpest form in The Master and His Emissary.

McGilchrist’s thesis is that the brain’s two hemispheres attend to the world in fundamentally different ways – and that the difference lies not in what each does but in how they do it. The right hemisphere attends to the living, contextual, interconnected whole; it sees things in relationship, in flux, embedded in a world, and it holds breadth, flexibility and a certain generosity. The left hemisphere is the specialist: it isolates, abstracts, categorises and manipulates, and – tellingly – it prefers mechanisms to living things. Both are necessary. But in the healthy arrangement the left hemisphere is the emissary – a brilliant envoy sent out to do focused, detailed work – serving the right hemisphere, the Master, who holds the wider picture and knows what the work is ultimately for.

The trouble, McGilchrist argues, is that in the modern West the emissary has usurped the Master. This narrow, analytic, decontextualising mode – which is so, so good at grasping and manipulating parts – has come to believe it is the whole show, and has forgotten it was only ever meant to serve. This metaphor, in a way, is the perfect explanation of our situation. Reductive, quantitative science is the emissary: precise, powerful, and indispensable for the work it is built for. It becomes a problem only when it forgets its place – when the map is mistaken for the territory, the measurement for the meaning, the mechanism for the living thing.

So the caveat is not less science. It is science kept in right relationship with something larger than itself. Keep the rigour – the controlled experiment, the hard number, the disciplined scepticism – and use it without apology where it fits. But know its limits, and know when the situation instead calls for a holistic grasp of the living whole: when you are dealing with a person rather than a part, an ecosystem rather than a machine, a culture rather than a circuit. There are multiple valid ways of knowing, and the richest understanding comes from holding them together – the quantitative and the qualitative, the parts and the whole, the emissary’s precision in service of the Master’s sense of the whole to which it all belongs.

Living systems thinking, in the end, is a change of perspective more than a body of doctrine. A template for thinking, as Bohm would say.  It opens the eyes to the relationships that compose the symphony of life, and once seen, they are hard to unsee. It reconceptualises how we understand and relate to the more-than-human world – from the single cell to the biosphere – and reminds us, usefully, that we are not the only audience for that symphony. We are one thread in the weave, playing our part in a piece that was underway long before we arrived and will continue long after. The least we can do is learn the tune and, dance to the beat of life iteself.

Additional viewing

• Fritjof Capra – The Systems View of Life (introductory talk)
• Nora Bateson – on warm data and relationship
• Donella Meadows – A philosophical look at systems dynamics
• Janine Benyus – Biomimicry: Learning From Life’s Genius (TED)
• Jeremy Lent – on the Deep Transformation Network and ecocivilisation

Additional reading

• Ways of Knowing: Separation and Participation
• Life’s Principles / Life’s Questions – Daniel Christian Wahl on Benyus’ Life’s Principles
• Leverage Points: Places to Intervene in a System – Donella Meadows
• The fundamental principles of an ecocivilization – interview with Jeremy Lent (LSE)
• A short introduction to Prosocial – Ostrom’s core design principles, made practical
• Kindred organisations worth knowing: Schumacher College, the Santa Fe Institute, Monviso Institute and the Stockholm Resilience Centre, Life Iteslf, Dark Matter Labs, BioFi, Metabolic

References

1. Capra, F. & Luisi, P. L. The Systems View of Life: A Unifying Vision. (Cambridge University Press, 2014).
2. Benyus, J. Biomimicry: Innovation Inspired by Nature. (William Morrow, 1997).
3. Wahl, D. C. Designing Regenerative Cultures. (Triarchy Press, 2016).
4. Lent, J. Ecocivilization: Making a World That Works for All. (Melville House, 2026); and The Web of Meaning (2021).
5. Meadows, D. Thinking in Systems: A Primer. (Chelsea Green, 2008).
6. Atkins, P. W. B., Wilson, D. S. & Hayes, S. C. Prosocial: Using Evolutionary Science to Build Productive, Equitable, and Collaborative Groups. (New Harbinger, 2019).
7. Ostrom, E. Governing the Commons: The Evolution of Institutions for Collective Action. (Cambridge University Press, 1990).
8. Bortoft, H. The Wholeness of Nature: Goethe’s Way of Science. (Floris Books, 1996).