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 time stamp to 0.1 eliminates the appearance of randomness.
![[shared, don't modify]](https://insightmakercloud-files.storage.googleapis.com/5bb8c3b6-3574-4ad0-aa6e-ed04848e9340/images/cover.jpg?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=insightmakercloud-file-access%40insightmakercloud.iam.gserviceaccount.com%2F20241121%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20241121T201518Z&X-Goog-Expires=3601&X-Goog-SignedHeaders=host&X-Goog-Signature=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)
![[shared, don't modify]](https://insightmakercloud-files.storage.googleapis.com/0de47b27-ee94-47f8-b111-61db4380af10/images/cover.jpg?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=insightmakercloud-file-access%40insightmakercloud.iam.gserviceaccount.com%2F20241121%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20241121T201518Z&X-Goog-Expires=3601&X-Goog-SignedHeaders=host&X-Goog-Signature=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)
![[shared, don’t modify] patch rates p(e/i) constant under Island-Mainland model. ΔF = pi(1-f) – pe(f)](https://insightmakercloud-files.storage.googleapis.com/ee239372-1877-4448-8a27-991890006e6d/images/cover.jpg?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=insightmakercloud-file-access%40insightmakercloud.iam.gserviceaccount.com%2F20241121%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20241121T201518Z&X-Goog-Expires=3601&X-Goog-SignedHeaders=host&X-Goog-Signature=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)
![[shared, don't modify]](https://insightmakercloud-files.storage.googleapis.com/850b81e4-f570-42ec-9820-7d09710eab07/images/cover.jpg?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=insightmakercloud-file-access%40insightmakercloud.iam.gserviceaccount.com%2F20241121%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20241121T201518Z&X-Goog-Expires=3601&X-Goog-SignedHeaders=host&X-Goog-Signature=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)
![[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](https://insightmakercloud-files.storage.googleapis.com/0251dab7-689e-483a-8f17-22694011c547/images/cover.jpg?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=insightmakercloud-file-access%40insightmakercloud.iam.gserviceaccount.com%2F20241121%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20241121T201518Z&X-Goog-Expires=3601&X-Goog-SignedHeaders=host&X-Goog-Signature=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)
![[shared, don’t modify] ΔF = pi(1-f) – e(1-f)•f pe = e(1-f)](https://insightmakercloud-files.storage.googleapis.com/02ee7bd9-2d37-4731-a62e-3da9ff2ffd38/images/cover.jpg?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=insightmakercloud-file-access%40insightmakercloud.iam.gserviceaccount.com%2F20241121%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20241121T201518Z&X-Goog-Expires=3601&X-Goog-SignedHeaders=host&X-Goog-Signature=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)
