HS-LS4-6 Conservation Modeling
Puerto Rico Leatherback Recovery Lab
Hatchlings on some Puerto Rico beaches crawl inland toward hotel lights instead of the ocean, while armored shorelines and heavy night traffic reduce nesting success. Test which protection bundle actually helps a threatened leatherback population recover without ignoring community access, safety, and cost.
1. Commit to a prediction
Choose the intervention you think will matter most before you run the model.
2. Set the human pressures
These sliders represent the current beach conditions your team is trying to improve.
Higher values mean more white hotel and street lighting pulling hatchlings inland.
More nighttime traffic raises trampling risk, nest disturbance, and enforcement pressure.
Armoring reduces natural nesting space and increases washout pressure during strong surf.
3. Build a protection bundle
Stay under the budget cap and watch for social tradeoffs that can outweigh the biodiversity gain.
Budget + launch status
$40,000 / $75,000Select a prediction and stay under budget to unlock the run.
4. Revise model assumptions
Use this panel to revise the simulation itself when you decide the default assumptions are not giving enough information.
Low reliability models uneven maintenance, missed patrol shifts, or incomplete compliance.
Beach-night preview
White hatchlings head seaward; pink hatchlings are being pulled inland by lights or risky beach conditions.
Run a scenario to compare turtle recovery with community access, safety, and reliability.
Quick interpretation
Run the model to see how your bundle compares with the baseline beach.
Analysis scaffold
Use these prompts to decide whether the model is enough to evaluate your solution.
Expected result check
The recovery target is 20 nesting females and at least 70% genetic diversity by year 12.
Is the simulation sufficient?
Run at least two contrasting designs before deciding whether the model is sufficient.
Prediction reflection
Your prediction check will appear here after the first run.
Forecast for biodiversity
The model will summarize the likely long-term biodiversity effect of your design.
Possible negative consequences
- Tradeoff warnings appear here after you run the model.
Model limitations
- This panel is filled by the shared simulation logic.
Recovery trajectory
Orange shows your selected bundle, gray shows the baseline with the same beach pressures, and blue tracks genetic diversity.
Selected bundle vs. baseline
Compare the key species metrics side-by-side.
Evidence log
Collect multiple runs so you can judge whether the simulation gives enough information to evaluate a solution.
| Trial | Bundle | Hatchlings | Year-12 females | Genetics |
|---|