Modeling the Great Dying: Classroom Experiments to Explore the Permian–Triassic Crisis
Hands-on classroom models of the Great Dying: carbon cycles, CO2 forcing, and ecosystem collapse, with paleodata interpretation.
Modeling the Great Dying: Classroom Experiments to Explore the Permian–Triassic Crisis
The Permian–Triassic extinction event, often called the Great Dying, is the largest known mass extinction in Earth history. It removed an estimated 81% of marine species and about 70% of terrestrial vertebrate species, reshaping ecosystems on a planetary scale. That makes it an ideal topic for classroom modelling because students can investigate not only what happened, but how scientists infer cause, timing, and environmental consequence from incomplete evidence. In this guide, we turn the Permian–Triassic crisis into a set of practical, curriculum-friendly activities: carbon cycle box models, CO2-forcing tabletop experiments, and simple ecosystem collapse simulations. For background on the event itself, see our overview of the Permian–Triassic extinction event and our explainer on why a mass extinction is so hard to study in deep time.
What makes the Great Dying especially useful for teaching is that it sits at the intersection of geology, climate science, chemistry, biology, and data interpretation. Students can explore the role of the Siberian Traps, rising greenhouse gases, ocean oxygen loss, and ecosystem tipping points without needing advanced equipment. The activities below are designed for secondary schools, A-level, and undergraduate labs, with options for low-cost materials and more quantitative extensions. If you are building a wider sequence of lessons, you may also want our guides to carbon cycle concepts and palaeoclimate reconstruction.
1. Why the Permian–Triassic crisis is such a powerful teaching case
A mass extinction with measurable causes
The Permian–Triassic boundary is one of the rare moments in Earth history where multiple lines of evidence point toward a complex, global environmental crisis. The dominant hypothesis links flood-basalt volcanism in Siberia to huge releases of carbon dioxide and sulfur dioxide, leading to warming, acidification, and widespread oxygen loss in the oceans. This is powerful pedagogically because students can trace a causal chain: volcanic activity changes atmospheric composition, atmospheric changes alter climate and oceans, and those environmental shifts affect life. That sequence maps neatly onto inquiry-based learning and scientific modelling.
Students also learn that scientific explanations are not just “one cause = one effect.” Additional hypotheses include methane release, coal and oil combustion, and feedbacks involving ocean chemistry and circulation. This makes the event ideal for teaching systems thinking, uncertainty, and the difference between correlation and causation. For a broader classroom context, compare this with our materials on ecosystem resilience and climate feedbacks.
Why deep time is a data-interpretation lesson, not just a history lesson
Unlike modern climate change, the Permian–Triassic crisis cannot be observed directly. Scientists reconstruct it using fossils, isotopes, ash beds, sedimentology, and geochemical proxies, then infer processes from patterns in the data. That means students can practise the core habits of Earth science: reading incomplete records, weighing evidence, and revising models when the data are ambiguous. In other words, the Great Dying is not only a topic to learn about; it is a case study in how science works.
This is also where the classroom benefit is strongest. When students model a deep-time extinction, they begin to see why exact answers are rare and why confidence grows through convergence across evidence. To support that, you can pair the activities here with our guide to scientific method in Earth science and our explanation of the fossil record.
Curriculum connections and skills outcomes
At school level, this topic supports data handling, systems thinking, and explanation writing. At undergraduate level, it can introduce box modelling, sensitivity testing, proxy interpretation, and hypothesis comparison. In UK contexts, it fits well within GCSE and A-level biology and geography, and within first-year Earth science, environmental science, and palaeobiology modules. The key is to frame each activity around a scientific question rather than a product: “What happens to climate when carbon inputs increase?” or “Which model best explains ecosystem collapse?”
If you need more structured classroom support, our teaching collection includes teaching resources and lesson plans that can be adapted to the Great Dying. You can also build a comparative unit using our page on Earth’s extinction timeline.
2. The science behind the Great Dying, in classroom language
Siberian Traps volcanism and carbon release
The most widely accepted driver of the extinction is the enormous flood-basalt province known as the Siberian Traps. Over geologically brief intervals, magma intruded and erupted on a scale that released vast amounts of greenhouse gases. Carbon dioxide is the most important for classroom modelling because it accumulates in the atmosphere and acts as a long-lived forcing agent. Sulfur dioxide is also important, but its climate effects are more complicated because it can cause short-term cooling aerosols as well as acid deposition.
A useful teaching distinction is between pulse and state changes. A pulse input is a sudden injection, such as volcanic gas release, whereas a state change is the resulting new climate condition, such as sustained warming. That distinction helps students understand why the extinction may have unfolded in phases rather than as a single moment. For more on volcanic drivers, see our guide to Siberian Traps volcanism and our explainer on flood basalt provinces.
Ocean acidification, euxinia, and oxygen loss
As carbon dioxide rose, the oceans absorbed more dissolved CO2, shifting carbonate chemistry and reducing the availability of carbonate ions used by many organisms. Warmer waters also hold less dissolved oxygen, increasing the risk of hypoxia. In some settings, low oxygen can promote euxinia, where hydrogen sulfide accumulates and makes waters toxic to many forms of life. These linked processes are excellent for modelling because students can represent them with simple variables and discuss feedback loops rather than memorising isolated facts.
This is a good place to reinforce that “ocean acidification” does not mean the ocean becomes like battery acid. Rather, it means a measurable drop in pH and carbonate saturation that can stress calcifying organisms. If your students need a refresher, connect this section to our pages on ocean acidification and dissolved oxygen.
Multiple hypotheses, one integrated picture
There is no single classroom model that explains everything, and that is a strength, not a weakness. The event likely involved interactions among volcanism, warming, methane release, changes in weathering, altered ocean circulation, and possibly feedbacks involving burning organic deposits. Students should be encouraged to compare hypotheses rather than choose a favorite too quickly. That exercise mirrors the scientific process, where competing explanations are often evaluated against the same dataset.
For comparative teaching, use our articles on climate change hypotheses and Earth system interactions. These help students see how the Great Dying is a systems problem, not a single-cause mystery.
3. Classroom activity 1: a carbon cycle box model of the Permian–Triassic crisis
Learning goals and model design
A box model is one of the most effective ways to teach the carbon cycle because it simplifies the Earth system into reservoirs and fluxes. In a Permian–Triassic version, the boxes might include atmosphere, ocean surface, deep ocean, sedimentary carbon, and a volcanic source. Students can adjust transfer rates and carbon inputs to see how atmospheric CO2 changes over time. The advantage of this model is that it makes “slow” Earth processes visible and quantifiable.
At undergraduate level, the activity can be spreadsheet-based. At school level, it can be done with cups, tokens, string, or counters to represent carbon units. The scientific question is straightforward: how much carbon input is needed to shift the system into a new stable state? That question links directly to the modern carbon cycle and to our carbon cycle learning hub.
Materials, setup, and procedure
For a low-cost version, use four labelled containers: atmosphere, surface ocean, deep ocean, and sediments/rocks. Give each container a starting number of tokens that represents carbon inventory. Students then move tokens each round according to fixed rules, such as a percentage exchange between atmosphere and ocean surface, and a slower exchange with deep ocean and sediments. Introduce a “volcanic pulse” by adding a batch of tokens to the atmosphere over several rounds.
To make the model more realistic, include a temperature rule: when atmospheric carbon rises above a threshold, reduce ocean oxygen exchange or slow the removal of carbon into sediments. That introduces feedback, which is central to the Great Dying. Keep the rules simple enough that students can run the model several times and compare runs. If you want more detail on modelling practice, our guide to system dynamics is a useful companion.
Interpreting the output like a scientist
Students should graph carbon in each reservoir across rounds and annotate when the “extinction threshold” is crossed. Ask them to identify lag effects, where the atmosphere changes first but the deep ocean responds later. This is a key insight: in Earth systems, damage can continue after the forcing stops because reservoirs respond on different timescales. That idea is especially important for understanding why extinctions can persist in pulses.
For extension, compare two scenarios: a short intense volcanic pulse versus a longer, lower-rate release. Students often discover that a sustained moderate input can be just as disruptive as a single spike if feedbacks amplify it. Connect this result to our article on climate feedbacks and to classroom discussions of thresholds in Earth systems.
4. Classroom activity 2: CO2-forcing tabletop experiment for palaeoclimate
What the experiment demonstrates
A CO2-forcing tabletop experiment helps students see the greenhouse effect as a physical process, not just a slogan. The goal is not to recreate the Permian atmosphere exactly, but to model how changing greenhouse gas concentration affects heat retention. A simple setup might compare two sealed containers, one with more CO2 and one with normal air, each exposed to an identical heat source and monitored with temperature probes. Students then evaluate whether the higher-CO2 container warms differently over time.
It is vital to discuss limitations: small-scale experiments cannot reproduce Earth’s radiation balance directly, but they can demonstrate relative differences. This creates a natural opportunity to talk about experimental controls, replication, and uncertainty. If you need help framing that discussion, use our page on experimental design.
Step-by-step classroom method
Prepare two clear containers of the same size with lids. Place equal thermometers or digital probes inside, keep the light source distance constant, and start with the same initial temperature. In one container, add a measured amount of CO2 generated safely by vinegar and bicarbonate or use a pre-filled CO2 source if available. Run the light for a fixed period, recording temperature every minute. Students then compare warming curves and calculate the rate of change.
The most useful part of the lesson is the discussion after the data collection. Ask why the temperatures may diverge slowly rather than dramatically, and what that means for interpreting climate forcing in deep time. The Permian case is not just about warming; it is about cumulative change across the atmosphere-ocean system. For more context, link this activity to our explanation of the greenhouse effect and our palaeoclimate experiments resource.
From tabletop to deep time
Once students understand the tabletop result, connect it to the Permian world: if massive volcanism injects greenhouse gases on a prolonged scale, temperature rises, ocean circulation shifts, and marine habitats become less habitable. This is where you can show how proxy records such as isotopes and sediment chemistry act as indirect evidence. Students begin to see that experiments and fossils answer different parts of the same question. That combination is what makes the Great Dying such a rich teaching topic.
To deepen the scientific narrative, reference our guide to climate proxies and our article on ocean temperature records.
5. Classroom activity 3: ecosystem collapse simulation and tipping points
Building a simple food-web model
Students understand extinction better when they see that ecosystems are networks, not isolated species lists. A classroom ecosystem-collapse simulation can use species cards, tokens, or digital spreadsheets to represent primary producers, herbivores, predators, decomposers, and environmental stressors. Each round, environmental variables such as temperature, oxygen, and acidity change, and species populations rise or fall based on simple rules. The result is a visual, memorable demonstration of cascading failure.
Ask students to identify which species or functional groups are most vulnerable first. In the Permian–Triassic case, marine calcifiers, reef builders, and oxygen-sensitive organisms are often excellent examples to discuss. The simulation should emphasize that the loss of one group can remove food, habitat, or stability for others. For more on this concept, see our guide to food webs and our explainer on ecosystem collapse.
Introducing thresholds and non-linear responses
One of the most important scientific lessons from the Great Dying is that ecosystems can tolerate change up to a point, then collapse rapidly. In the simulation, this can be represented by threshold rules: if temperature exceeds a limit, one group loses reproduction; if oxygen falls below a threshold, another group cannot survive. This makes non-linear change visible. Students often expect decline to be gradual, so the sudden collapse is a valuable challenge to their intuition.
Use this opportunity to discuss resilience and tipping points. Why can a system absorb small disturbances yet fail when a boundary is crossed? That question connects strongly to modern climate and biodiversity concerns, making the ancient event relevant without being simplistic. Pair this with our tipping points article and our resource on biodiversity loss.
Using the simulation to discuss extinction selectivity
Not all organisms are equally affected in extinction events. Students can test whether size, habitat, mobility, or physiology influences survival in their simulated system. This introduces extinction selectivity, an important palaeobiological concept. For example, organisms dependent on stable oxygen conditions or carbonate skeletons may be hit harder than adaptable generalists. That mirrors real patterns inferred from the fossil record.
At the end of the simulation, ask students to propose which traits gave some groups a better chance of survival and why. This makes the exercise more than a game: it becomes an analytical reconstruction of survival pressure in a changing world. For additional context, use our guide to adaptation and extinction selectivity.
6. How scientists interpret paleodata from the Permian–Triassic boundary
Proxies, not time machines
Students often assume that fossils tell a complete story, but palaeodata are indirect. Scientists use proxies such as carbon isotopes, sedimentary facies, fossil assemblages, mercury concentrations, and ash-bed geochronology to infer environmental change. Each proxy is informative but incomplete, so confidence comes from agreement across independent datasets. This makes proxy interpretation one of the most transferable scientific skills in Earth science education.
You can reinforce this by asking students to rank evidence by reliability for specific questions. For example, ash beds may help with timing, while isotope shifts may help with carbon-cycle interpretation. The result is a sophisticated discussion about method, not just memory. Our guide to palaeodata and our article on geochronology are useful references here.
Reading a boundary section like Meishan
One of the best-known reference sections for the Permian–Triassic boundary is Meishan in China, where high-resolution dating has helped constrain the timing of events with much greater precision than older studies. Students do not need the full technical literature to benefit from this example. They only need to understand that scientists combine layers, radiometric dates, and fossil changes to build a chronology. This can be turned into a classroom exercise where students sequence event cards and justify the order using evidence.
That activity shows why “the rocks” do not speak for themselves. Researchers interpret them through models and methods, then test the interpretations against new data. To support this, link to our page on stratigraphy and our introduction to radiometric dating.
Uncertainty as part of the answer
Great teaching includes uncertainty, because uncertainty is part of real science. The Permian–Triassic event likely involved multiple extinction pulses and a long interval of ecological instability, not a single instantaneous wipeout. Students should be asked to explain what would change their confidence in a model. Would more precise dates help? Would a new isotope record support one hypothesis over another? This moves them from passive learners to scientific reasoners.
If you want to extend that discussion, compare different evidence types using our guide to scientific uncertainty and our explainer on evidence-based science.
7. A comparison table of classroom activities
The table below helps teachers choose an activity based on age group, time, and learning outcome. A strong sequence often uses all three: box model first, CO2 forcing second, ecosystem collapse third. That progression moves from abstract reservoirs to physical process to biological consequence. It mirrors how Earth scientists build explanations from mechanism to impact.
| Activity | Main concept | Best level | Time | Core learning outcome |
|---|---|---|---|---|
| Carbon cycle box model | Reservoirs, fluxes, feedbacks | KS4, A-level, undergraduate | 45–90 min | Students model carbon input and identify thresholds |
| CO2-forcing tabletop experiment | Greenhouse effect, warming curves | KS4, A-level | 30–60 min | Students compare controlled temperature data |
| Ecosystem collapse simulation | Food webs, tipping points, resilience | KS3–undergraduate | 45–75 min | Students observe cascading failure and selectivity |
| Proxy interpretation exercise | Palaeodata, stratigraphy, uncertainty | A-level, undergraduate | 45–90 min | Students infer events from indirect evidence |
| Hypothesis comparison debate | Scientific reasoning, evidence weighing | All upper secondary / undergraduate | 30–60 min | Students justify a cause of extinction using evidence |
If you are compiling a broader set of classroom activities, our collections on classroom experiments and undergraduate lab activities provide useful structure and assessment ideas.
8. Assessment, discussion prompts, and extension tasks
Questions that reveal understanding
Good assessment should test explanation, not recollection. Ask students to describe how volcanic emissions can change ocean chemistry, to explain why extinction can happen in pulses, or to argue which proxy is most useful for dating the event. These prompts reveal whether learners understand the mechanism and the evidence chain. They also encourage scientifically literate writing, which is especially useful for exam preparation.
Another strong prompt is: “Why do models of the Great Dying need both biology and climate science?” This invites students to connect organisms to environmental context, rather than treating extinction as a purely biological event. If you need more question stems, see our assessment ideas resource and our guide to science discussion prompts.
Extension tasks for advanced students
Advanced students can calculate simple rates of carbon increase, compare scenarios with different pulse lengths, or critique model assumptions. Undergraduate learners can use spreadsheet-based sensitivity analyses to test how changing one variable alters outcomes. They can also examine how different proxies would support or weaken a given hypothesis. These activities introduce the habits of quantitative science without requiring specialist software.
For a more data-rich extension, ask students to compare an ancient extinction with a modern environmental stressor and discuss what is and is not transferable. You can connect that conversation to our article on the Anthropocene and our resource on modern climate change.
Making the lesson memorable without oversimplifying it
The Great Dying is dramatic, but the best teaching avoids turning it into a cartoon apocalypse. Instead, show that the extinction unfolded through interacting mechanisms, delayed responses, and selective survival. Students remember the lesson better when they can explain the chain of events in their own words. They also learn that scientific knowledge is built from models that are useful precisely because they are simple enough to test.
Pro Tip: Ask students to annotate their graph with both “forcing” and “response.” That habit helps them distinguish between cause, feedback, and consequence, which is one of the biggest conceptual hurdles in Earth science.
9. Safety, resourcing, and classroom management
Practical setup advice
These activities can be run with low-cost materials, but they work best when instructions are clear and roles are assigned. In a box model, one student can manage inputs, another can record data, and a third can graph results. In tabletop experiments, make sure students understand the difference between a demonstration and a valid comparison. A well-managed practical not only runs more smoothly, it also produces better data for discussion.
Where digital tools are available, spreadsheets and shared documents make it easier to collect class results and compare groups. If you are building your own teaching workflow, our guide to digital teaching tools and our advice on classroom data analysis can help.
Safety notes
Keep CO2 experiments well-ventilated and avoid sealed vessels that could build pressure. Use LED heat sources or lamps with appropriate guarding, and supervise hot equipment carefully. If you generate CO2 with vinegar and bicarbonate, prevent spills and ensure containers are stable. Clear lab rules matter because students are more likely to focus on interpretation when the mechanics are safe and predictable.
It is also worth telling students that scientific models are safe substitutes for impossible experiments. We cannot recreate the Great Dying in the lab, but we can investigate its mechanisms through controlled analogues. That distinction itself is an important scientific lesson. For safety-oriented planning, our page on lab safety and risk assessment will be useful.
How to adapt for different teaching contexts
For younger learners, focus on storytelling, simple graphs, and cause-and-effect chains. For older students, add numerical reasoning, uncertainty, and hypothesis comparison. For undergraduates, include literature snippets, proxy datasets, and reflection on model limitations. The same topic can therefore serve a whole progression from introductory science to early university study.
If you are planning across a term, cross-reference this lesson with our broader environmental science curriculum and our guide to science lesson sequences.
10. Key takeaways and where to go next
What students should remember
The Permian–Triassic extinction event is best understood as an Earth-system crisis driven largely by massive Siberian Traps volcanism, intensified by greenhouse warming, ocean acidification, oxygen loss, and ecological feedbacks. Classroom modelling works so well here because each mechanism can be represented by a simple, testable analogy. Students see that extinction is not just the disappearance of species, but the collapse of conditions that support complex ecosystems. That insight makes the topic both scientifically rigorous and deeply memorable.
Just as importantly, the Great Dying teaches how science builds explanations from proxies. Students learn that fossils, isotopes, ash beds, and sediment records do not give a complete movie, but they do provide enough evidence to reconstruct a powerful narrative when interpreted carefully. That is the heart of Earth science literacy. For related reading, explore our articles on mass extinction events, climate feedbacks, and Earth system science.
Suggested lesson sequence
A strong teaching sequence is: introduce the extinction with a short lecture and timeline; run the carbon box model; follow with the CO2 tabletop experiment; finish with the ecosystem collapse simulation and a proxy interpretation task. That order moves from processes to impacts to evidence. Students leave with a complete mental model rather than a set of disconnected facts. It is the sort of sequence that works in classrooms, seminars, and introductory lab sessions alike.
To build this into a full module, link out to our teaching library on teaching resources, lesson plans, and assessment ideas. Together, they can turn the Great Dying from a chapter in a textbook into a live investigation of how Earth systems change.
FAQ: Modeling the Great Dying in the classroom
What is the simplest model for teaching the Permian–Triassic extinction?
A carbon box model is usually the simplest and most effective starting point. It helps students visualize reservoirs, transfers, and the effect of a volcanic carbon pulse on the atmosphere-ocean system. Because the rules are transparent, it is easy to discuss feedbacks and limitations.
Can students really learn about the Great Dying from tabletop experiments?
Yes, as long as the experiments are framed as analogues rather than reconstructions. A CO2-forcing tabletop experiment does not recreate the Permian atmosphere, but it can demonstrate how changing greenhouse gas concentration affects heat retention. The scientific value comes from interpreting the pattern, not from exact replication.
How do I explain the Siberian Traps without overwhelming learners?
Describe them as a gigantic volcanic province that released enormous amounts of gas over a geologically short period. Emphasize the chain reaction: gas release, warming, ocean stress, and ecological collapse. Students usually understand this best when they can trace the pathway step by step.
What should I say if students ask whether there was only one cause?
Explain that the scientific consensus points to Siberian Traps volcanism as the main driver, but multiple processes likely amplified the extinction. This includes carbon release, sulfur emissions, ocean oxygen loss, and possible methane feedbacks. The best answer is that one major driver triggered a cascade of interacting effects.
How can I assess student understanding beyond a worksheet?
Use explanation tasks, graph annotation, short debates, and evidence-ranking exercises. Ask students to justify which proxy best supports a claim or to compare two extinction scenarios using the same model. These methods reveal reasoning, not just recall.
Are these activities suitable for undergraduate labs?
Absolutely. Undergraduates can add spreadsheets, sensitivity testing, and more explicit discussion of proxy data and uncertainty. They can also critique assumptions and propose model improvements. That makes the topic excellent for introductory Earth science and environmental science courses.
Related Reading
- Ocean Acidification Explained - A clear guide to carbonate chemistry and marine impacts.
- Climate Feedbacks in Earth Systems - Learn how small changes can amplify into major shifts.
- Geochronology for Students - Discover how scientists date events deep in Earth history.
- Extinction Selectivity - Why some organisms survive mass extinctions while others do not.
- Earth System Science - A framework for connecting climate, oceans, rocks, and life.
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