NRES 470 Models

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

Insight diagram
Lab 1 test 3
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Clone of Practice
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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.
Clone of Lab 5, Exercise 3b (Minimum Viable Population)
Insight diagram
Lab 3 part 3 NRES 470
Clone of Lab 3 part 3
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Stochasticity Ex2
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Lab 3 part 3 NRES 470
Clone of Lab 3 part 3
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Lab 5, Exercise 3
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Lab 5, Exercise 2
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In-class 2-26-18
Clone of Age-structured population
Insight diagram
Clone of Lab 5 Exercise 3
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Lab 5 Exercise 2
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Red-tailed hawk
Clone of Lab 4, exercise 3
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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.
Clone of Lab 3, Exercise 4: age-structured models in InsightMaker
Insight diagram
[shared, don’t modify] 
patch rates p(e/i) constant under Island-Mainland model. 

ΔF = pi(1-f) – pe(f)

Island-Mainland metapopulation model
Insight diagram
[shared, don't modify]
Lab4 pt3 stage-structured matrix
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Clone of Lab 5 Exercise 3
Insight diagram
[shared, don't modify]
Lab5 Environmental Stochasticity
Insight diagram
[shared, don't modify]
Lab5 Demographic Stochasticity
Insight diagram
[shared, don’t modify] 

ΔF = pi(1-f) – e(1-f)•f 

pe = e(1-f)

Rescue Effect metapopulation model
Insight diagram
Clone of Lab 5 Exercise 3
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Red-tailed hawk
Clone of Lab 4, exercise 3
Insight diagram
Lab 1
4 months ago
Insight diagram
NRES 470 - Webb - Practice 1
4 months ago