Study Guide

Life Cycle Modeler teacher and learner guide

Use this guide to frame the app with a clear question, expected observations, and follow-up discussion rather than treating the simulation as a standalone activity.

Open application Curriculum alignment

Teaching Focus

Teacher notes

Use species with familiar life histories so students can connect the matrix terms to real organisms.
Have learners compare which stage changes matter most to growth rate and persistence.
Connect the app to conservation or management scenarios rather than presenting it as abstract math alone.

Learner tasks

Run a baseline case and determine whether the population grows, stabilizes, or declines.
Change survival in one stage and explain how the projection changes.
Compare two different life histories and argue which is more vulnerable to specific disturbances.

Suggested Sequence

Before the run

Define the life stages in the model and predict which stage should matter most to population growth or decline.

During the run

Run a baseline case, then change one stage-specific survival or fecundity value at a time and compare the resulting trajectories.

After the run

Explain which stage has the strongest effect, what evidence supports that claim, and how the result connects to management or conservation questions.

Core Question

How do differences in survival and reproduction across life stages change the future of a population?

Evidence Prompts

What to record

Which stage-specific parameter changed.
How the projected population trajectory responded over time.
Which stage change had the largest effect on growth, decline, or stability.

Questions to answer

What evidence shows that one life stage matters more than another?
How do the projections support your interpretation of vulnerability or persistence?
What one additional scenario would test your explanation?

Self-Study Path

Try this on your own

Compare two life histories or two stage-specific interventions and write a short argument about which population is more vulnerable and why.

Extend the investigation

Pair this app with EcoBalance to connect population trajectories to broader ecological constraints and interactions.

Scientific Virtues

Habits to practice

Ask what evidence in the run supports the explanation, rather than jumping from pattern to conclusion.
Separate observation from inference by naming what the model shows and what you think it means.
Revise the explanation when a parameter change or repeated run produces conflicting results.

Continue the thread

Use the Scientific Virtues page to connect this investigation to broader habits of evidence, skepticism, and revision.