[7.1] From a biological perspective, why might a butterfly population be more sensitive to Leave prairie probability in the Small Near configuration than in the Large Far configuration?
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From a biological perspective, why might a butterfly population be more sensitive to a "Leave Prairie Probability" in a small and near habitat configuration than in a configuration where the habitats were large and far?
Sri K.
Suppose you find several patches of prairie habitat arranged in configuration c: A species of insect lives in some prairie patches (perhaps like the ones shown in configuration c). Occasionally, some of these insects can fly between the patches. Generally, 60% of the patches are occupied at any one time. a) Draw a generalized colonization and extinction curves for the population described. A biologist comes along and studies the dispersal abilities of this insect. She finds out that the insect has a very low leave probability, i.e. insects in a patch are less likely to leave the patch. b) Discuss what this means by redrawing your colonization and extinction curve to reflect this new information. Explain and justify your reasoning for your new graph. c) Given this information, which patch configuration is likely to be the best patch configuration to protect this insect? Justify your answer.
Madhur L.
Q9. Suppose that, using the simulation in Exercise 4 (Connections), you devise a patch configuration using stepping stones. In your first simulation run, you set the leave prairie probability to 0.9 and turn probability in non-prairie to zero. You run the simulation once, with no fires. The simulated butterfly population size after 100 weeks increases from 25 to 132. What does this result tell you about the real-world Fender's blue butterfly population? Butterfly survival in this patch configuration is not particularly sensitive to the probability that butterflies leave their habitat. As long as butterflies travel in a straight line when they leave their habitat, the population will never go extinct. Numerous additional behavioral parameters must be incorporated into the simulation model in order to draw any conclusion. A sensitivity analysis with this model requires multiple runs. One run is insufficient to say much about real-world butterflies.
Lainey R.
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