The chart pad will appear and disappear with the graph pad. Clicking on the triangle at the bottom left of the chart will show other pages of the chart. If you cannot see the chart pad it may be covered by the graph pad. Move the graph pad by clicking and dragging on the upper edge or resize by clicking and dragging the border.
Now see what happens if people reduce carnivore populations by 4% (0.04) (Note: It may be easier to place your cursor in the little window in the slider and type in the number. You have to press enter before the change will work.)
Now see what happens when people only reduce carnivore populations by 1%(0.01). As you see there is no extinction. Running the model this way and then running the model in simple Overkill mode gives a clue to why people would be motivated to reduce carnivore populations.
In the short term H. sapiens populations establish themselves more quickly when they reduce carnivore populations. There are more herbivores and fewer carnivores so people have more to eat. It is only in the long term, if carnivore reduction has exceeded the threshold value (1.5% or so in this model), that extinctions occur.
Click on the 'U' button to reset to the default value.
Whittington and Dyke (1989) extrapolated how much a person would have to hunt to effect extinction. They came up with 38.6 pounds of prey per pound per year. Let us run the model at 40 lbs. twice the amount of prey needed by a non-human carnivore. The model begins to oscillate in both modes. Presumably during the periods of extreme oscillation the less efficient of each kind of animal would suffer and some would go extinct but there is no bias in favor of ruminants.
To interact with these variables: