Population Dynamics


Video Clips

Video RealVideo®
5:49 minutes (10:47 - 16:36)

Definition, scale, and studies. Earth as a biosphere.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: None
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Video RealVideo®
3:08 minutes (2:06 - 5:14)

Introduction to population ecology, measurements of births, deaths, and success.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: None
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Video RealVideo®
3:54 minutes (5:14 - 9:08)

Use mark and recapture to measure population and survival rates. Used for widely distributed populations such as birds and butterflies.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: None
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Video RealVideo®
6:54 minutes (9:08 - 16:02)

Age structures of various countries and societies.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: None
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Video RealVideo®
17:15 minutes (16:02 - 33:17)

Quantify survivorship probability and replacement rates using cohort and static life tables. Definitions of variables.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: Age structure
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Video RealVideo®
9:13 minutes (33:17 - 42:30)

Assumptions and calculations for growth and doubling time of a population with stable age distribution.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: Definitions, elementary calculus (derivatives)
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Video RealVideo®
6:10 minutes (0:00 - 6:10)

Limits on exponential growth and application to the human population. Density dependent response as a stabilizing factor. Example: The US population.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: Other sections on population growth
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Video RealVideo®
8:53 minutes (6:10 - 15:03)

Logistic Equation to model density dependent response by placing restraints on the exponential population growth. Definition of new variables. Example: Fisheries.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: Human population growth I
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Video RealVideo®
7:16 minutes (15:03 - 22:19)

Logistic equation assumes instantaneous feedback. Needs to introduce time lag into the equation.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: Logistic Equation
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Video RealVideo®
5:41 minutes (22:19 - 28:00)

Study of the population in the US since the 1800 as modeled by the Logistic Equation. Use regression to predict the carrying capacity.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: Logistic Equation
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Video RealVideo®
6:39 minutes (28:00 - 34:39)

Global human population since 1000 BC until today. Projections for the future. Population growth matches with the changes in global metabolism/cycles.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: None
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Video RealVideo®
5:06 minutes (34:39 - 39:45)

Population growth levels off when birth rate declines faster than death rate. Examples: Sweden as developed country and Egypt as developing country.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: Other sections on population growth
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Video RealVideo®
5:58 minutes (39:45 - 45:43)

Maximum population that can be supported by the earth. Examine if carrying capacity can be increased by technology. Various models that predict functions of population growth with respect to the carrying capacity.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: Other sections on population growth
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Practice Problems

Document PDF
Problem 2 (page 4)

Cohort life table built on measured population data. Effect of predator migration on the replacement rates of prey. Survivorship curve of various cohorts.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: None
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Document PDF
Problem A (page 1)

Using data on population to calculate survivorship, mortality rate, average remaining life expectancy, and average life expectancy. Draw and interpret survivorship curve.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: None
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Document PDF
Problem B (page 2)

Using data on population and birth to calculate fecundity, realized fecundity, net reproductive rate, and the stability of the population.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: None
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Exam Questions

Document PDF
Problem 2c (page 4)

Potential solution to maintain population below carrying capacity.

Instructors: Prof. Penny Chisholm, Prof. Graham Walker, Dr. Julia Khodor, Dr. Michelle Mischke
Prior Knowledge: None
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