3b. Is the current population viable, under the criteria listed above? That is, is there a less than 5% risk of extinction over a 50-year time frame? Hint: use the Sensitivity Testing tool to run 500 replicates. Visualize the 95% quantile. For a viable population the 95% quantile should stay above 0 (extinction) up to at least year 50 of the simulation.

4b. Change the Age 1 mortality rate to 0.3. Run the simulation starting with 75 individuals, all in Age class 1. What happens? Is this a stochastic model? If not, why does it look like it has a random component?

4b. Change the Age 1 mortality rate to 0.3. Run the simulation starting with 75 individuals, all in Age class 1. What happens? Is this a stochastic model? If not, why does it look like it has a random component?

What are the effects of connectivity of subpopulations on population viability?

demographic stochasticity

What are the effects of connectivity of subpopulations on population viability?

What are the effects of connectivity of subpopulations on population viability?

1e. Let’s think through the problem one more time- we are uncertain about the true value of the per-capita birth rate, bb, for a rare species. The actual birth rate for this population could be anything from 0.15 to 0.35 - we really can’t say! Given this uncertainty, we want to know what the abundance will be after 15 years. If you were tasked with evaluating this question, which of the two plots you generated in (1d) would be most appropriate for answering this question? Why?
Rand(0.15, 0.35)
Fix(Rand(0.15, 0.35))

What are the effects of connectivity of subpopulations on population viability?

Lab 3 part 3 NRES 470

Human Population growth

Answer for question 3b

4b. Change the Age 1 mortality rate to 0.3. Run the simulation starting with 75 individuals, all in Age class 1. What happens? Is this a stochastic model? If not, why does it look like it has a random component?

Answer for question 3a

Exercise 2, Problem 2b, Projection Matrix

Exercise 2, Problem 2e.

4b. Change the Age 1 mortality rate to 0.3. Run the simulation starting with 75 individuals, all in Age class 1. What happens? Is this a stochastic model? If not, why does it look like it has a random component?

What are the effects of connectivity of subpopulations on population viability?