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Earth System Science

The Anthropocene
Equation

For four billion years, Earth changed on its own terms. Then we arrived — and the equation changed.

The Second
Copernican Revolution

Five hundred years ago, Copernicus showed us where we are: Earth orbits the Sun, not the other way around. A lifetime later, the telescope — then the most powerful instrument of knowing — gave Galileo the evidence to prove it. It was a shock. A humbling. A liberation.

Today, a second revolution is underway. Not the telescope, but something else: the Earth System model — a mathematical mirror of our entire planet. For the first time, we can watch Earth as a living system, see how its parts interact, and understand the consequences of our presence within it.

The Earth System scientist Hans Joachim Schellnhuber, writing in Nature in 1999, called this the second Copernican revolution: not about our position in space, but about our role in time — as an active, planetary-scale force.

Schellnhuber proposed a simple but profound definition. The Earth System can be represented as a coupled pair — two intertwined components:

E = ( N ,  H )
N
The ecosphere — everything natural: atmosphere, biosphere, hydrosphere, cryosphere, lithosphere. Four and a half billion years of geology and life.
H
The human factor — civilisation, technology, culture, governance. The first truly new force in Earth's history since life itself emerged.

"Human activities have become so pervasive and profound that they rival the great forces of Nature and are pushing the Earth into planetary terra incognita."
— Steffen, Crutzen & McNeill, Ambio, 2007

Three kinds of force have shaped our world. Schellnhuber called them Gaia, Shiva, and Prometheus. Hover or tap each to learn more.

Gaia — Earth with leaf and sun
Gaia
Self-regulation

The biosphere as planetary regulator. Over billions of years, life has kept Earth habitable — moderating temperature, cycling nutrients, maintaining breathable air. Life sustains the conditions for life.

Shiva — volcano and asteroid
Shiva
Catastrophe

Asteroid impacts, supervolcano eruptions, solar flares — the destroyer of worlds and the engine of evolution. Mass extinctions opened space for new forms of life, including, eventually, us.

Prometheus — fire and industry
Prometheus
Human civilisation

Homo sapiens as a planetary force. Fire, agriculture, industry, digital networks — a species that remakes its environment at continental scale. Prometheus now rivals Gaia and Shiva in its planetary reach.

How to Describe
a Planet

A planet doesn't have a fixed address. It has a trajectory — a path through possible states. To understand where Earth is going, we don't just need to know where it is now. We need to know how fast it's changing.

Mathematically, the rate of change of any quantity is written as its derivative with respect to time. Think of it like this: your temperature tells you if you have a fever. But the rate at which your temperature is rising tells you whether to panic.

dE
dt
=
?

This is the central question. E is the Earth System — its temperature, ice cover, ocean chemistry, atmospheric composition, biodiversity. t is time. And dE/dt is the speed at which our world is transforming.

For most of Earth's history, that speed was set by three natural forces. Understanding them is the first step toward understanding the equation.

Natural Forcings:
Before Us

For four and a half billion years, three kinds of force drove Earth's rate of change: two pushing from outside, one arising from within. Most operate on vast timescales, and on the timescale of the last few decades all three are dwarfed by a fourth. Hover each letter to explore what it means.

dE dt
= f( A , G , I )
A
Astronomical forcing — Milankovitch cycles: slow wobbles in Earth's orbit and axial tilt that vary how much sunlight reaches the planet. The pacemaker of the ice ages, with cycles of roughly 20,000, 41,000 and 100,000 years. Over the last 7,000 years it went with a gentle cooling of about 0.01°C per century — essentially flat.
G
Geophysical forcing — volcanic eruptions, tectonic drift, changes in Earth's interior heat. Toba erupted 74,000 years ago, one of the largest eruptions of the last two million years. Continental drift rearranges climate over millions. All the world's volcanoes release roughly 0.3–0.5 Gt of CO₂ a year; fossil fuels and cement release about 38 Gt — humans now outpace all volcanoes combined by roughly a hundred times.
I
Internal dynamics — feedbacks within the Earth System itself: ocean circulation, ice-albedo loops, the carbon cycle. El Niño, AMOC, ice-albedo: the system's own memory. They act on every timescale, from a few years (El Niño) to millennia (the deep ocean). Strictly, human activity is itself an internal dynamic of the Earth System — Gaffney and Steffen give it its own letter because its scale and speed are now unique.

These forces shaped every ice age, every warm interglacial, every mass extinction from asteroid or volcano. They produced the 10,000 years of remarkable stability known as the Holocene — the climate within which civilisation was born.

Today, on the timescales of anthropogenic change, the astronomical and geophysical forcings are negligible. Internal dynamics I remain active — feedbacks still operate — but they are not the dominant directional driver. This is a scale-separation argument: one force now overwhelms the rest.

Carbon dioxide released each year, billion tonnes

All volcanoes G
~0.3–0.5
Humans H
~38

Fossil fuels and cement, 2025 (Global Carbon Budget). Astronomical and internal forcings act on climate in other ways and have no equivalent in tonnes of CO₂, so they are not drawn here.

Enter H:
The Human Force

Around 1950, something unprecedented happened in Earth's history. A single species began to dominate the planet's rate of change — not through evolution or geology, but through industry.

We add a fourth term. The full equation becomes:

dE dt
= f( A , G , I , H )

But here is what the data shows. When we compare the magnitude of each forcing today, A, G, and I are so small relative to H that they can, to first approximation, be dropped. The equation collapses:

dE dt
≈ f( H )

This is the Anthropocene Equation, proposed by Owen Gaffney and Will Steffen in 2017. It is at once a statement of fact, a warning, and — as we will see — a map of possibility. Because H is not a fixed constant. It is a function of choices we make every day.

Read it as a conceptual equation, not a formula to plug numbers into. E is a whole system, not a single measurable quantity, and f is never written out — a point critics were quick to make. Its power is in the comparison it forces: whatever you measure, the human term now sets the pace.

Gaffney, O. & Steffen, W. (2017). The Anthropocene equation. The Anthropocene Review, 4(1), 53–61. doi:10.1177/2053019616688022

What Is
H Made Of?

H is not a mystery. Gaffney and Steffen offer a structural decomposition — not a calibrated model, but a map of what drives it: how many of us there are, how much each of us consumes, and what kind of technological system supports that consumption. It is a cousin of the classic IPAT identity — impact = population × affluence × technology.

H = f( P , C , T )
P
Population of consumers — not total population, but the global upper and middle classes defined by income: those participating in the production-consumption system. Growing rapidly as more nations industrialise.
C
Consumption — and, its mirror image, production: the material and energy throughput of those consumers — food, energy, goods, travel, waste. The wealthiest 10% generate ~50% of global emissions.
T
Technosphere — the entire human-built system: energy infrastructure, agriculture, transport, manufacturing, digital networks, governance. Technology can multiply or divide the impact of P × C.

Gaffney and Steffen go one level deeper. The technosphere T can itself be decomposed into structural components — energy, knowledge, and the political economy that steers both. These are not interchangeable factors; they play different roles and can interact in non-obvious ways:

T = f( En , K , Pe )
En
Energy system — the source of power: fossil fuels amplify H enormously; low-carbon sources can reduce it. Fossil fuels still supply about 86% of the world's primary energy, but solar capacity has been doubling every two to three years.
K
Knowledge and technology — science, engineering, education. CRISPR, climate models, carbon capture, precision agriculture — K is how we learn to do more with less. But more K does not automatically reduce forcing: efficiency gains can accelerate throughput (the Jevons paradox). K's effect on H depends on what it is applied to.
Pe
Political economy — markets, laws, incentives, governance, today dominated by globalisation. The Montreal Protocol (1987) is perhaps the most successful planetary intervention yet: the ozone layer is on track to recover by mid-century.

Most of these terms cannot be measured on a single scale. But one slice of H can be written exactly. The Kaya identity, introduced by the energy economist Yoichi Kaya, splits the world's CO₂ from fossil fuels into four factors that multiply: how many of us there are, how much each of us produces and consumes, how much energy that takes, and how much carbon that energy carries.

CO₂ = P × GDP/P × E/GDP × CO₂/E

Move the factors — watch fossil CO₂ change

8.2B
100% of today
100% of today
14% low-carbon
Fossil CO₂
38.1
billion tonnes a year
Change
today
relative to 2025
Per person
4.6
tonnes of CO₂ a year
Fossil CO₂ emissions — bar runs from zero to three times today

This is arithmetic, not a forecast: the four factors multiply to give emissions, starting from today's values — 38.1 billion tonnes of fossil CO₂ in 2025 (Global Carbon Budget), 8.2 billion people (United Nations), and fossil fuels supplying about 86% of primary energy (Energy Institute). One simplification: the carbon in each unit of fossil energy stays at today's coal–oil–gas mix. The identity uses total population, not only the consumers in Gaffney and Steffen's P, and it leaves out knowledge and political economy, which act on all four factors at once. It also covers only CO₂ — one part of H, alongside land use, nitrogen, biodiversity loss and more.

The Great
Acceleration

Abstract equations need grounding in reality. What does dE/dt ≈ f(H) actually look like in the data?

Gaffney and Steffen compiled rates of change across key Earth System variables, comparing a Holocene baseline — the last 7,000 years, when ice volumes and CO₂ had settled — with rates measured over recent decades (to 2015, as published). For each variable below, two bars show the Holocene rate and the current rate. The multipliers show how many times faster we are now changing the planet.

CO₂ ~550×
Holocene
0.3
Now
166
ppm / century
CH₄ ~285×
Holocene
2
Now
575
ppb / century
Temperature 170×
Holocene
−0.01
Now
+1.7
°C / century (reversed)
Extinctions 10–100×
Background
0.1
Now
1–10
E/MSY (species per million per year)
Sea Level new
Late Holocene
≈ 0
Now
3.2
mm / year (~0 from 3,000 years ago to pre-industrial)
N fixation 2×
Natural
~200
Now
~410
Tg N / year (now = natural ~200 + human ~210)

Across multiple Earth System parameters, rates of change in the Anthropocene are tens to hundreds of times faster than the Holocene baseline — with some changes, like the nitrogen cycle, possibly unprecedented in billions of years.
— Based on Gaffney & Steffen, 2017, Table 1

A Phase
Transition

The story doesn't end with rates of change. In 2018, physicists Orfeu Bertolami and Frederico Francisco went further — they asked: can we describe the Anthropocene transition using the mathematics of physics?

Their answer was a model. Using Landau-Ginzburg theory — the physics of phase transitions — they described the shift from the Holocene to the Anthropocene with the same mathematics physicists use for a magnet lining up in an applied magnetic field: a continuous phase transition, pushed by an external field. Here the field is human activity.

The key idea: any stable state of a system can be described by a free energy landscape — an energy "well" that the system sits in. Its position is measured by ψ, the departure of global temperature from its Holocene average. When there is no human forcing, the Holocene well is symmetric and the system stays comfortably at ψ = 0.

Add human forcing H, and the well tilts. The minimum of the free energy shifts to higher temperatures. The system — Earth's climate — rolls to a new, warmer equilibrium. Drag the slider below to see how the landscape changes. The paper gives the shape of this landscape, not its size in degrees, so the axes carry no fixed scale.

H = 0 → Holocene equilibrium

From this framework, Bertolami and Francisco derived a striking result. If the Holocene sits right at the edge of the transition — an assumption of their model — the new equilibrium temperature doesn't rise linearly with H. It rises with the cube root of H:

ψ ∝ H 1/3

This is a property of the model near its critical point, not an observed climate law. Inside the model, the lesson is about the start of the transition: the first, modest pushes produce a disproportionately large response. Do not read the flattening curve as reassurance. In the real climate, warming rises roughly in step with the total CO₂ we have emitted (IPCC AR6), and every additional tonne adds about the same amount of heat.

ψ ∝ H^(1/3) — the model's equilibrium at its critical point

Near a phase transition, a system is hypersensitive to outside pushes. Physicists call this critical susceptibility: how far the state moves for a small change in the field. In Bertolami and Francisco's framing, the Holocene was such a near-critical state — so the human field mattered most at exactly the moment it first switched on.

One limit of this picture: the landscape above has a single, smooth well, so if H falls, the marble rolls straight back. Real tipping elements — ice sheets, rainforests, ocean currents — behave more like landscapes with two wells. Once pushed into the second, lowering the pressure to where it was is not enough to return. Physicists call this hysteresis.

Bertolami, O. & Francisco, F. (2018). A physical framework for the Earth system, Anthropocene equation and the Great Acceleration. Global and Planetary Change, 169, 66–69. doi:10.1016/j.gloplacha.2018.07.006

Wonder
& Agency

Step back and look at what these three papers, spanning twenty years of thought, have built together. They have taken the most complex system in the known universe — a living planet — and expressed it as a function of human choices.

dE dt
≈ f( H ) ,   H = g( P , C , En , K , Pe )

Every term on the right is something we shape: P through reproductive rights and education; C through diet, lifestyle, and equity; En through the energy transition; K through science and technology; Pe through governance, treaties, and political will.

The same equation that describes the problem reveals where to intervene.

This is not naïve optimism. The numbers are sobering — warming 170 times faster than the Holocene trend, a world already about 1.4°C warmer than pre-industrial times. The decomposition does not hand us a control law — interactions, delays, and rebound effects are real. But it does show that H is not destiny. It is a function of variables we influence, not a fixed number handed down from physics.

Gaffney and Steffen end on exactly this point: staying within the climate that cradled civilisation means bringing the rate of change back to dE/dt ≈ 0 — human forcing no larger than the natural ones.

The second Copernican revolution was not just about seeing Earth as a system. It was about recognising that we are now part of that system — not passive passengers, but active agents in its trajectory.

But this realisation carries a deeper question — one that reaches far beyond Earth, into the silence of the cosmos itself.

The Cosmic
Question

In 1961 — a year after the first weather satellite saw Earth from above — the radio astronomer Frank Drake gathered a small group of scientists at Green Bank, West Virginia, to ask the most ambitious question in science: how many communicating civilisations exist in our galaxy?

Drake didn't pretend to know the answer. Instead, he decomposed the question into seven factors — a chain of probabilities stretching from stellar birth to civilisational survival. The result became the most famous equation in astrobiology:

N = R* × fp × ne × fl × fi × fc × L

Hover or tap each variable to explore it

The first three terms are astronomical — how many places in the galaxy could harbour life:

R*
Star formation rate — how fast the Milky Way makes new stars. It turns roughly two Suns' worth of gas into stars each year — a handful of new stars, most of them small red dwarfs. In Drake's time this was the best-known factor. It still is.
fp
Fraction with planets — what share of stars have planetary systems? In 1961, nobody knew. Today, thanks to the Kepler and TESS missions, the answer is nearly all of them. Planets are the rule, not the exception.
ne
Habitable planets per star — how many planets per system orbit in the habitable zone, with the right size and chemistry for liquid water? Kepler data suggest that somewhere between a third and a half of Sun-like stars may host a rocky planet in the habitable zone.

The next three are biological — how readily does complexity arise and become technological:

fl
Fraction where life emerges — on Earth, the earliest evidence of life dates to 3.5–3.8 billion years ago — within the planet's first billion years. If that's typical, this number could be high. But we have only one example.
fi
Fraction developing intelligence — evolution produced intelligence on Earth, but it took 3.5 billion years and many contingencies. Convergent evolution (eyes, flight, echolocation) suggests nature may favour complexity — but the leap to abstract thought may be rare.
fc
Fraction that communicate — of intelligent species, how many build technology capable of sending signals across space? Dolphins are intelligent. They don't build radio transmitters. Technology is not inevitable.

And then there is the last term.

L

The lifetime of a technological civilisation

How long does a species that gains the power to reshape its planet manage to survive that power? Decades? Centuries? Millions of years?

Drake understood that L is the decisive term. The astronomical factors are now well constrained. The biological ones remain wide open — each could be close to one or vanishingly small, and we have a single example to learn from. But L is different: it can range from a hundred years to a hundred million, and it is the only term that depends on how a civilisation conducts itself. If life and intelligence are common and L is small, the galaxy is a graveyard of extinct technologies. If L is large, it should be teeming with signals.

The silence of the cosmos carries two possible messages: either most civilisations don't survive their technological adolescence — or those that do become so woven into their planets that we cannot tell them apart from nature.

In 2016, the astrophysicist Adam Frank and the astronomer Woodruff Sullivan turned the Drake Equation around. Instead of asking "how many are out there now?", they asked: has any other technological species ever existed, anywhere, at any time in cosmic history? Using what we now know about planets, they showed that unless the odds of a habitable planet ever producing one are below about one in ten billion trillion, we are not the first in the observable universe. If others came before us, the open question is how long they lasted — L.

The connection
Anthropocene Equation
dE dt
≈ f( H )
Drake's last variable
L

The Anthropocene Equation describes what is happening to our planet. Drake's L asks whether we survive it. They are the same question, seen from different ends of the telescope.

Robin Hanson called this the Great Filter: somewhere between dead matter and a galaxy-spanning civilisation lies a barrier that almost nothing crosses. The optimistic view is that the filter is behind us — in the improbable leap from chemistry to life, or from life to intelligence. The terrifying possibility is that it lies ahead: in the narrow passage between gaining planetary power and learning to wield it wisely.

In 2018, Adam Frank, the astrophysicist Jonathan Carroll-Nellenback, the urban ecologist Marina Alberti and the Earth System scientist Axel Kleidon modelled this passage: a population, the resources it burns, and a planet that pushes back as it is changed — the coupling of H and N in mathematical form. Their models showed that civilisations which grow too fast on finite resources tend to trigger runaway environmental collapse. Only those that transition to sustainable energy systems early enough avoid population crash. The models produce three archetypal fates: die-off, sustainability, or collapse.

A more recent simulation by Celia Blanco, Jacob Haqq-Misra and George Profitiliotis (2026, not yet peer-reviewed) generalises these three archetypes into ten scenarios over a thousand-year window, allowing collapse and recovery to repeat. They introduce a measurable quantity — the duty cycle Dc, the fraction of a civilisation's lifespan during which it is technologically active — and show that across plausible futures it ranges from about 0.38 to 1.00. Drake's L is then replaced by an effective detectability duration:

Leff = Dc · Tspan

A galaxy populated by intermittent civilisations — even abundant ones — would appear largely silent, because the probability that two civilisations' active phases overlap is the product of their duty cycles. The Great Silence may reflect not the rarity of intelligence but the rarity of long, uninterrupted technological activity. In Blanco et al.'s ensemble, only the post-scarcity scenarios maintain Dc ≈ 1; most plausible futures spend significant time in dormancy or recovery.

The Anthropocene is not unique to Earth. It may be a universal stage — a bottleneck that every technological species must navigate.

Adam Frank, David Grinspoon and Sara Walker have pushed this further, proposing that a mature biosphere can develop planetary intelligence — the capacity for a planet's living systems to collectively sense and respond to global-scale challenges. Earth's biosphere has been doing this unconsciously for billions of years. The question is whether a conscious species can learn to participate in that intelligence, rather than disrupt it.

This is what L really measures. Not just how long a civilisation broadcasts radio signals, but whether a species capable of understanding its own planet can choose to sustain it. The Anthropocene Equation tells us that H now dominates Earth's trajectory. Drake's L asks whether we can bring H back into balance before the window closes.

We are living inside Drake's last variable. Every policy decision, every energy transition, every choice about consumption and governance is a vote on the value of L. The mathematics of the Anthropocene and the mathematics of the cosmos converge on the same question: can a technological species survive its technological adolescence?

Drake, F.D. (1965). The radio search for intelligent extraterrestrial life. In G. Mamikunian & M.H. Briggs (Eds.), Current Aspects of Exobiology (pp. 323–345). Pergamon Press. — The equation was first presented at the Green Bank conference in November 1961.

The Planetary
Equation

There is a second answer to the Fermi paradox — one that does not require a graveyard. In 2009, Jacob Haqq-Misra and Seth Baum proposed the Sustainability Solution: the silence of the cosmos may not mean that every civilisation fails. It may mean that the ones that last are those that stopped growing exponentially — and so never spread across the galaxy to reach us.

The argument is disarmingly simple. Exponential growth — the pattern that makes a civilisation visible across interstellar distances — is precisely the pattern that ecological economics identifies as unsustainable on any finite world. If a civilisation expands fast enough to be seen, it consumes itself. If it endures, it must have transitioned to slow growth or a steady state — and a civilisation in equilibrium with its biosphere may leave no spectacular signature to observe.

"The absence of ETI observation can be explained by the possibility that exponential growth is not a sustainable development pattern for intelligent civilizations."
— Haqq-Misra & Baum, 2009 (ETI: extraterrestrial intelligence)

The philosopher Lukáš Likavčan, elaborating on this idea in 2024, draws a radical conclusion: a successful technosphere is transitory. It does not permanently replace the biosphere. Instead, its technology converges with planetary metabolism — its energy systems, its material cycles, its information flows all bend back toward alignment with the living systems that preceded them. Successful technospheres fold back into biospheres.

The science fiction writer Karl Schroeder captured this as a variation on Arthur C. Clarke's famous law: "Any sufficiently advanced technology is indistinguishable from nature." Read through the Sustainability Solution, this becomes more than poetry — a speculative prediction. The most mature civilisations in the cosmos may be all around us, woven so deeply into their planets that we mistake them for ordinary biospheres.

This insight completes the bridge between the Anthropocene Equation and Drake's L. Inspired by Frank and colleagues' work on coupled planet-civilisation dynamics, we propose a dimensionless planetary stress index — GLOBAÏA's own synthesis, not a published result — that gathers the decompositions on this page into a single ratio of pressure over adaptive-regulatory capacity.

This is not a derived law. It is a conceptual ansatz — a first approximation that makes the logic of survival explicit. Every variable below is divided by a reference value (marked with a tilde: P̃ = P / Pref), making the ratio dimensionless and, in principle, calibratable.

The numerator captures planetary pressure — the forces that drive the Earth System away from equilibrium. As in Gaffney and Steffen's H = f(P, C, T) and the IPAT identity, they multiply: halve any one of them and the pressure halves.

P̃
Normalised population pressure — consumer population relative to a reference level. Not total headcount, but participation in the production-consumption system.
C̃
Normalised consumption intensity — per-capita material and energy throughput relative to a reference level. The dimension where inequality matters most: the wealthiest 10% generate ~50% of emissions.
H̃lock
Infrastructure lock-in — the inertia of existing systems: fossil fuel plants with 30–50 year lifespans, car-dependent cities, agricultural monocultures, financial systems built on growth assumptions. Even when P and C are addressed, lock-in resists change.

The denominator captures adaptive-regulatory capacity — the forces that absorb pressure and steer the system toward viability. Here we let them add, with weights w, on the simplifying assumption that each can absorb part of the pressure on its own:

K̃
Effective technological capacity — not knowledge in the abstract, but knowledge that actually reduces forcing. Efficiency gains that accelerate throughput (the Jevons paradox) do not count. Only net decoupling of welfare from environmental impact enters here.
P̃e
Governance effectiveness — the political economy Pe of Section V, measured by its capacity to coordinate collective action at planetary scale: treaties, institutions, enforcement, democratic legitimacy. The Montreal Protocol is proof that this term can be large. The climate negotiations show how hard it is.
B̃
Biospheric regulatory capacity — the ability of the planet's living systems to absorb perturbations and maintain habitability. Gaian feedbacks, carbon sinks, the ozone layer, biodiversity itself. This is what Frank, Grinspoon and Walker call planetary intelligence: the collective, emergent capacity of a biosphere to sense and respond to global-scale challenges.

The planetary stress index Γ is then the ratio of pressure to weighted capacity:

Γ =
P̃ · C̃ · H̃lock wKK̃ + wPeP̃e + wBB̃

What does Γ = 1 mean? Only what the reference values make it mean. If each one is set at the edge of a safe operating space — the planetary boundaries, say — then Γ = 1 marks that edge, and the two regimes below are on either side of it. With any other choice of reference, the number 1 has no special meaning.

The Planetary Stress Index

Γ ≪ 1

Adaptive capacity dominates pressure. The technosphere converges with planetary metabolism and folds back into the biosphere. The civilisation is sustainable, long-lived — and cosmically quiet. L is large.

Γ ≫ 1

Pressure overwhelms capacity. The Earth System is driven past tipping points — not a single threshold but a landscape of regional cascades, lags, and hysteresis: once crossed, some do not simply reverse when the pressure eases. L is small.

Note: Γ is a heuristic control index, not a derived equation of state. The real Earth System has regional tipping elements, partial decoupling, time lags, and hysteresis that no single scalar can capture. The value of the index is not its precision but its structure: it names the variables that matter and reveals the direction of intervention.

This is the thread running through the mathematics on this page. Schellnhuber's Earth System (N, H). Gaffney and Steffen's finding that dE/dt ≈ f(H). Bertolami and Francisco's phase transition and the critical susceptibility near the Holocene boundary. Frank and colleagues' coupled planet-civilisation models and their idea of planetary intelligence. Drake's L and the Sustainability Solution to the Fermi paradox.

They all ask the same question in different notation: can a species that gains planetary power learn to wield it within planetary limits?

Every term in the denominator is something we strengthen: K̃ through science directed at genuine decoupling, P̃e through treaties, institutions, and democratic coordination, B̃ through ecosystem restoration, rewilding, and the protection of the biosphere's ancient regulatory machinery. Every term in the numerator is something we can temper: P̃ through education and reproductive rights, C̃ through sufficiency, equity, and reimagined prosperity, H̃lock through deliberate phase-out of fossil infrastructure, land-use reform, and financial systems redesigned around planetary boundaries.

The transition from high Γ to low Γ is what Frank and colleagues call the passage from an immature technosphere to a mature technosphere — a civilisation that has achieved planetary intelligence, where feedback loops between technology, governance and biosphere are intentional, self-maintaining, and autopoietic. This is the transition that the Fermi paradox, the Great Filter, and the Anthropocene Equation all converge upon.

We are not merely living inside Drake's last variable. We are deciding whether the denominator of the planetary stress index can grow fast enough to bring Γ down — before tipping elements cross thresholds that do not simply reverse when the pressure eases.

Haqq-Misra, J.D. & Baum, S.D. (2009). The Sustainability Solution to the Fermi Paradox. Journal of the British Interplanetary Society, 62, 47–51. arXiv:0906.0568

Likavčan, L. (2024). The Grass of the Universe: Rethinking Technosphere, Planetary History, and Sustainability with Fermi Paradox. Preprint submitted to Environmental Humanities. arXiv:2411.08057

References

Schellnhuber, H.J. (1999). 'Earth system' analysis and the second Copernican revolution. Nature, 402(Supp), C19–C23. doi:10.1038/35011515
Gaffney, O. & Steffen, W. (2017). The Anthropocene equation. The Anthropocene Review, 4(1), 53–61. doi:10.1177/2053019616688022
Heijungs, R., Boersema, J.J. & Huppes, G. (2017). Mathematics and the Anthropocene equation: Comment on Gaffney and Steffen (2017). The Anthropocene Review, 4(3), 259–263. doi:10.1177/2053019617742416
Kaya, Y. & Yokobori, K. (Eds.) (1997). Environment, Energy, and Economy: Strategies for Sustainability. United Nations University Press.
Global Carbon Project (2025). Global Carbon Budget 2025 — fossil CO₂ emissions projected at 38.1 Gt CO₂ for 2025. globalcarbonbudget.org
Energy Institute (2026). Statistical Review of World Energy — fossil fuels' share of global primary energy. energyinst.org/statistical-review
Fowler, D. et al. (2013). The global nitrogen cycle in the twenty-first century. Philosophical Transactions of the Royal Society B, 368(1621), 20130164. doi:10.1098/rstb.2013.0164
Bertolami, O. & Francisco, F. (2018). A physical framework for the Earth system, Anthropocene equation and the Great Acceleration. Global and Planetary Change, 169, 66–69. doi:10.1016/j.gloplacha.2018.07.006
Steffen, W., Crutzen, P.J. & McNeill, J.R. (2007). The Anthropocene: are humans now overwhelming the great forces of Nature? Ambio, 36(8), 614–621. doi:10.1579/0044-7447(2007)36[614:TAAHNO]2.0.CO;2
Drake, F.D. (1965). The radio search for intelligent extraterrestrial life. In G. Mamikunian & M.H. Briggs (Eds.), Current Aspects of Exobiology (pp. 323–345). Pergamon Press. doi:10.1016/B978-1-4832-0047-7.50015-0
Frank, A. & Sullivan, W.T. III (2016). A new empirical constraint on the prevalence of technological species in the universe. Astrobiology, 16(5), 359–362. doi:10.1089/ast.2015.1418
Frank, A., Carroll-Nellenback, J., Alberti, M. & Kleidon, A. (2018). The Anthropocene generalized: evolution of exo-civilizations and their planetary feedback. Astrobiology, 18(5), 503–518. doi:10.1089/ast.2017.1671
Frank, A. (2018). Light of the Stars: Alien Worlds and the Fate of the Earth. W.W. Norton & Company.
Hanson, R. (1998). The Great Filter — Are We Almost Past It? George Mason University. mason.gmu.edu/~rhanson/greatfilter.html
Frank, A., Grinspoon, D. & Walker, S.I. (2022). Intelligence as a planetary scale process. International Journal of Astrobiology, 21(2), 47–61. doi:10.1017/S147355042100029X
Licquia, T.C. & Newman, J.A. (2015). Improved estimates of the Milky Way's stellar mass and star formation rate from hierarchical Bayesian meta-analysis. The Astrophysical Journal, 806(1), 96. doi:10.1088/0004-637X/806/1/96
Bryson, S. et al. (2021). The occurrence of rocky habitable-zone planets around solar-like stars from Kepler data. The Astronomical Journal, 161(1), 36. doi:10.3847/1538-3881/abc418
Cassan, A. et al. (2012). One or more bound planets per Milky Way star from microlensing observations. Nature, 481, 167–169. doi:10.1038/nature10684
Haqq-Misra, J.D. & Baum, S.D. (2009). The Sustainability Solution to the Fermi Paradox. Journal of the British Interplanetary Society, 62, 47–51. arXiv:0906.0568
Likavčan, L. (2024). The Grass of the Universe: Rethinking Technosphere, Planetary History, and Sustainability with Fermi Paradox. Preprint submitted to Environmental Humanities. arXiv:2411.08057
Wong, M.L. & Bartlett, S. (2022). Asymptotic Burnout and Homeostatic Awakening: A Possible Solution to the Fermi Paradox? Journal of The Royal Society Interface, 19(190), 20220029. doi:10.1098/rsif.2022.0029
Blanco, C., Haqq-Misra, J. & Profitiliotis, G. (2026). Projections of Earth's Technosphere: Civilization Collapse–Recovery Dynamics and Detectability. arXiv preprint. arXiv:2604.13774
Savitch, E., Frank, A., Carroll-Nellenback, J., Haqq-Misra, J., Kleidon, A. & Alberti, M. (2021). Triggering a climate change dominated anthropocene: is it common among exocivilizations? The Astronomical Journal, 162(5), 196. doi:10.3847/1538-3881/ac1a71
Claussen, M. (2001). Earth system models. In E. Ehlers & T. Krafft (Eds.), Understanding the Earth System: Compartments, Processes and Interactions (pp. 145–162). Springer.