NRES 470 Models

These models and simulations have been tagged “NRES 470”.

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

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


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

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


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?  No. It shows no randomness whether initial Age 1 population is 75 or 1000. Setting the
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?
No. It shows no randomness whether initial Age 1 population is 75 or 1000. Setting the time stamp to 0.1 eliminates the appearance of randomness.
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?  No. It shows no randomness whether initial Age 1 population is 75 or 1000. Setting the
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?
No. It shows no randomness whether initial Age 1 population is 75 or 1000. Setting the time stamp to 0.1 eliminates the appearance of randomness.
[shared, don’t modify]   ΔF = pi(1-f) – e(1-f)•f   pe = e(1-f)
[shared, don’t modify] 

ΔF = pi(1-f) – e(1-f)•f 

pe = e(1-f)

[shared, don’t modify]  patch rates p(e/i) are variables informed by rates e/i for Internal Colonization model  ΔF =  i •f(1-f) – pe(f)  pi =  i •F
[shared, don’t modify] 
patch rates p(e/i) are variables informed by rates e/i for Internal Colonization model

ΔF = i•f(1-f) – pe(f)

pi = i•F

 [shared, don’t modify]   patch rates p(e/i) constant under Island-Mainland model.     ΔF = pi(1-f) – pe(f)
[shared, don’t modify] 
patch rates p(e/i) constant under Island-Mainland model. 

ΔF = pi(1-f) – pe(f)