Separate stage-structured transients from long-run growth
Individuals at different stages contribute differently to future population size. A population with many juveniles can change differently from one with many adults even when both share the same vital-rate parameters. A single total-count ratio therefore need not identify the long-run growth tendency.
Learning outcome: Reconstruct the first two transitions independently, then compare the plotted stage series. Explain which stage composition and constant-rate assumptions would be needed to use the dominant multiplier as a forecast.
Starting recap
Connect behavioral mechanisms, demographic stages, community interactions and ecosystem budgets while preserving denominators, causal alternatives and external fieldwork gates.
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At F = 2 and s = 0.4, the next census is 100 juveniles and 65 adults, a total ratio 1.1. The dominant multiplier is about 1.17871, with stable juvenile/adult ratio about 1.6967. The first ratio is not yet the long-run multiplier.
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Can the same fixed vital rates produce changing total census ratios during an initial transient?
Experiment
Reconstruct the first two transitions independently, then compare the plotted stage series. Explain which stage composition and constant-rate assumptions would be needed to use the dominant multiplier as a forecast.
Distinguish a transient census ratio from asymptotic growth
Worked teaching model · synthetic values · Postulated two-stage recurrence Jnext=F A; Anext=sJ+0.5A, initial J100/A50. Reproduction and transitions are census-defined coefficients. Constant rates, no density dependence, sex changes or stochasticity. Dominant eigenvalue solves λ²−0.5λ−Fs=0.
Reset keeps your prediction, captures and practice history.
Stage structure can make the first census ratio differ from the long-run multiplier.
The recurrence is an expectation under constant coefficients, not an observed integer trajectory. Long-run growth changes when rates or density dependence change; the initial stage distribution matters for transients.
Solid: Juveniles. Dashed: Adults. Axes rescale to the current range; use labeled values rather than comparing graph heights across settings.
| Census interval | Juveniles (Expected stage abundance) | Adults (Expected stage abundance) |
|---|---|---|
| 0 | 100.0000 | 50.00000 |
| 1 | 100.0000 | 65.00000 |
| 2 | 130.0000 | 72.50000 |
| 3 | 145.0000 | 88.25000 |
| 4 | 176.5000 | 102.1250 |
| 5 | 204.2500 | 121.6625 |
| 6 | 243.3250 | 142.5313 |
| 7 | 285.0625 | 168.5956 |
| 8 | 337.1913 | 198.3228 |
| Quantity | Value | Unit |
|---|---|---|
| Next juvenile stage | 100 | expected individuals |
| Next adult stage | 65 | expected individuals |
| First total census ratio | 1.100000 | ratio |
| Dominant long-run multiplier | 1.178709 | per interval |
| Stable juvenile/adult ratio | 1.696772 | ratio |
Retain prior predictions, settings and quantities in the notebook. These are original supplied/calculated comparisons, not physical specimen observations or laboratory participation.
Stage structure can make the first census ratio differ from the long-run multiplier.
The recurrence is an expectation under constant coefficients, not an observed integer trajectory. Long-run growth changes when rates or density dependence change; the initial stage distribution matters for transients.
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At F = 1 and s = 0.2, find the next stages, first total ratio and dominant multiplier.
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