Trial 3 - Extinction
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In the long history of life on
Earth, many species have come and gone. For
example, dinosaurs were around for many
millions of years, but now they are entirely
extinct. What are some events that could
cause extinction of a population?
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Now observe extinction by
changing the variables in this model. Open
the model. See Technical Hints to run
and save the evolution model. Here are some
questions for you to explore.
[model:
populationA]
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Run the model. Gradually reduce
GRASS-REGROWTH-RATE. At what value is
extinction quite likely?
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Return GRASS-REGROWTH-RATE to 80.
Gradually reduce INITIAL-NUMBER. You must
hit SETUP and start again each time you
change it. At what value is extinction quite likely?
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Return INITIAL-NUMBER to 100. Run
the model and gradually reduce
GAIN-FROM-FOOD. At what value is extinction
quite likely?
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Here is a summary of your results.
Make a composite chart of the findings for
the whole class. Why might the answers vary
from different teams?
Variable
|
Value causing extinction
|
Initial-number |
|
Grass-regrowth-rate |
|
Grain-from-food |
|
Birthrate-% |
|
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Now that you know the effects
of the different variables, here's a
challenge. Open the model.
[model:
populationC]
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The sheep rancher wants to sell off
as many sheep per year as possible. What's
the largest number he can remove without
losing his flock? (hint: use the
NUMBER-REMOVED slider to control how many
the rancher removes each year.) In this
model, the sheep flash blue just before they
are removed. You can change all of the
variables. Record the highest NUMBER-REMOVED
the rancher can maintain without losing the
flock, and the strategy you used to get the
highest possible yield.
Best NUMBER-REMOVED =
Strategy:
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