ENVR 325: Fundamentals of Ecology

Homework Exercise #2: Population Dynamics of Mountain Goats on Mt. Baker

 

CIMG1453.JPG

 

 

Mountain Goats (Oeramnos americanus) are found in mountainous terrain throughout the northwestern portions of North America.

 

 

Range-Burke_Museum

 

Native populations of Mountain Goats in Washington State are restricted to the Cascade Range and introduced populations exist in the Olympics and the Selkirk Mountains in the northeast corner of the state.  For reasons that are not entirely clear, the introduced population in the Olympics has done quite well but the native population in the Cascades has declined dramatically over the past 30-40 years.  Obtaining reliable population estimates is problematic, but the limited survey data that are available suggest that the declines have been on the order of 70-90% for some populations over this time period. 

 

Mt. Baker has one of the largest Mountain Goat populations in the state.  Surveys done is 1960 indicate a population of about 400 animals.  More recent surveys suggest that the population in the year 2000 was about 100-200 animals.  In this homework exercise, we will use data from the Mt. Baker Mountain Goat population to explore alternative methods for modeling population dynamics.

 

 

TOOLS: Although you could complete this homework assignment using nothing more than a pencil and paper, I would STRONGLY recommend that you use Microsoft Excel.  This piece of software will be extremely useful to you in many of your courses.  Computational tasks that would take hours or days to complete with a pencil and paper can be completed in minutes.  If you do not already know how to use Excel, now is a good time to learn.  I am assuming that you already know how to use Excel.  If you do not, ask a friend for help or go to the Student Technology Center.  The folks there should be able to get you started.

 

 

LIFE TABLES:  In class, we discussed the use of life tables.  Your text also provides a detailed discussion of life tables.  Here is a life table for female Mountain Goats:

 

Age  x

Nx

lx

mx

0

1000

0

1

619

0

2

444

0

3

420

0.3225

4

397

0.3675

5

375

0.3675

6

354

0.3675

7

335

0.3675

8

317

0.3675

9

299

0.3675

10

203

0.2875

11

138

0.2875

12

94

0.2875

13

64

0.2875

14

0

0

 

Copy this table and paste it into an Excel workbook.  Or to make it even easier for you, you can start with this file: goat_pop_template.xls.  Using the formula presented in class and in your text, calculate the following parameters from these data:

 

Ro – the Net Reproductive rate

T – the Average Generation time

r – the intrinsic rate of increase for the population (also known as the Malthusian parameter)

 

As you will see, completing these calculations in Excel is very straightforward.

 

POPULATION PROJECTIONS FOR THE MT. BAKER MOUNTAIN GOAT POPULATION: Assume that the population has reached a stable age distribution and that lx and mx remain constant.  Given the intrinsic rate of increase that you have calculated above, calculate the size of the female population in the year 2000 based on a population of 200 females in 1960.

 

 

POPULATION PROJECTION USING A LESLIE MATRIX: The computational approach taken above assumes that the population has reached a stable age distribution.  This may or may not be a good assumption.  The use of a Leslie Matrix allows you to evaluate this assumption.  Read about the Leslie Matrix by going to this web site and read sections 7.1 and 7.2: 

 

Model of Leslie

 

The other sections on this site (sections 7.3-7.5) are interesting but are not critical for completing the rest of this exercise.  In section 7.2, grab a copy of the Excel file, “leslie.xls.”  Use this file as a model for creating your own Leslie matrix in Excel.  Here is the transition matrix for the Mountain Goat:

 

 

kid

yearling

2

3

4

5

6

7

8

9

10

11

12

13

Kid

0

0

0

0.323

0.368

0.368

0.368

0.368

0.368

0.368

0.288

0.288

0.288

0.288

yearling

0.619

0

0

0

0

0

0

0

0

0

0

0

0

0

2

0

0.718

0

0

0

0

0

0

0

0

0

0

0

0

3

0

0

0.945

0

0

0

0

0

0

0

0

0

0

0

4

0

0

0

0.945

0

0

0

0

0

0

0

0

0

0

5

0

0

0

0

0.945

0

0

0

0

0

0

0

0

0

6

0

0

0

0

0

0.945

0

0

0

0

0

0

0

0

7

0

0

0

0

0

0

0.945

0

0

0

0

0

0

0

8

0

0

0

0

0

0

0

0.945

0

0

0

0

0

0

9

0

0

0

0

0

0

0

0

0.945

0

0

0

0

0

10

0

0

0

0

0

0

0

0

0

0.68

0

0

0

0

11

0

0

0

0

0

0

0

0

0

0

0.68

0

0

0

12

0

0

0

0

0

0

0

0

0

0

0

0.68

0

0

13

0

0

0

0

0

0

0

0

0

0

0

0

0.68

0

 

This table is another way of presenting data on age-specific mortality and natality.  The column and row labels are that age of the Mountain Goat in years.  A kid represents an age of zero; this is a newborn animal.  A yearling is one year old, etc..  This is a transition matrix.  Each cell in the table represents the probability of making the transition from one age class to another during any given year.  As explained in section 7.1 of the Model of Leslie, the first row in this table indicates the probability that a female of any given age will produce a female offspring.  Note that goats do not reach sexual maturity until their third year.  The other rows (below the first row) present the probability that an animal of a given age will survive for another year.  For example, the probability that a kid will survive to become a yearling is 0.619.  The probability that a yearling will survive to become a two-year old is 0.718.  Doing population projections using a leslie matrix involves something called “matrix multiplication.”  We will multiply our leslie matrix (above) by a vector of data that represents the number of individuals in each age class in a particular year.  We will start with the 1960 Mt. Baker Mountain Goat population.  The vector of data that represents this population is:

 

 

Population Size (N females)

 

Year

 

1960

kid

70

yearling

25

2

20

3

10

4

10

5

10

6

10

7

10

8

10

9

5

10

5

11

5

12

5

13

5

 

To calculate the number of yearlings in 1961, we multiply the number of kids in 1960 (70) by the probability of a kid surviving to be a yearling (0.619).  So 70*0.619=43.3.  To predict the number of 2 year olds in 1961, we multiply the number of yearlings in 1960 (25), by the probability of a yearling surviving to be a 2 year old (0.718). So, 25*0.718=17.95.  The same logic is used to calculate the 1961 population of 3, 4, ….13 year olds.  Predicting the number of kids in 1961 is a bit more complicated.  Doing so involves calculating the number of female kids produced by 3-year old females (10*0.323) PLUS the number of female kids produced by 4-year old females (10*.368) PLUS ….and so on up to the female kids produced by 13-year old females.

 

To calculate the age class distribution for 1962, you multiply the transition matrix by the vector of data that represents the age class distribution for 1961.  The same idea applies for 1963-2000.

 

As you can see, you could write formula in Excel to do all of these calculations, BUT THERE IS AN EASIER WAY!  Fortunately, Excel has a function that will do the matrix multiplication for you.  This is the “MMULT” function.  The use of this function is explained in the leslie.xls file that I mentioned above.  Getting this function to work properly takes some fiddling and you must follow the instructions (on the leslie.xls spreadsheet available in section 7.2 in the Model of Leslie ) very, very carefully. 

To make your life a bit easier, I’ve entered the MMULT function to do the calculation for 1961 in the  goat_pop_template.xls spreadsheet.  To do the calculations for 1962-2000. You simply need to highlight the cells for 1961 (cells C31:C44) and copy these to cover the full 1962-2000 range.

 

Note that in your population size and % of population tables will have one column for each year from 1960 through 2000.  I have entered formula to do virtually all of the calculations for you. 

 

How does your Leslie Matrix estimate of the population in 2000 compare with the population estimate derived from the life table approach used above?  Why do these estimates differ?  From the Leslie Matrix, when does this population reach a stable age class distribution?  For the purposes of this exercise, you may conclude that a stable age class distribution has been reached when the percentage of the population in each age class remains unchanged when rounded off to the nearest full percentage point.  Note that section 7.4 in the Model of Leslie web pages describes a way to calculate this age class distribution based only on the transition matrix.  You DO NOT need to use the approach described in section 7.4.  Simply projecting the population forward from 1960 to 2000 will enable you to determine when you have reach a stable age class distribution by inspection.

 

 

REAL-WORLD DATA VS. MODEL PREDICTIONS:  Recall that in the introduction I indicated that our survey data suggests that the Mt. Baker Mountain Goat population has declined from about 400 animals in 1960 to about 100-200 animals in the year 2000.  Assuming that 50% of the total population is female, this means that our field surveys suggest that there were only about 50-100 females on Mt. Baker in the year 2000.  How does this compare with the prediction that you made for the female Mountain Goat population during this time?  If you did your calculations correctly, your Leslie Matrix should indicate an increase in the population during this time. 

 

We don’t really know why the Mt. Baker population has declined over this time period.  We suspect that our survival data are incorrect.  Play around with the survival data a bit while leaving the natality data unchanged.  To do so, I have included another worksheet in your Excel workbook that is called “Altered Survivorship Leslie.”  Follow the instructions on this worksheet (text in red on the worksheet) to explore the effect of reducing the survival rate for each age class by 1%.  Do this by multiplying the ALL of the original survival rates by 0.99.  How does this change the total population size in the year 2000?  Now reduce all survival rates by 2% (Multiply ALL of the original survival rates by 0.98).  Note that I have set this up for you so that making this change should be very easy.   Continue reducing the survival rates until you obtain a population of about 50 females in the year 2000.  By how much do you need to reduce the survival rates to obtain a population of about 50 females in the year 2000?

 

You should also try exploring the effect of altering the natality rates.  To do so I have also included a worksheet called “Altered Natality Leslie.” As before, follow the instructions (in red) on this worksheet to explore the effect of leaving the survival rates unchanged but multiplying ALL of the natality rates by 0.99.  How does this change the population size in the year 2000.  Then multiply ALL of the natality rates by 0.98 and so on. By how much do you need to reduce the natality rates to obtain a population of about 50 females in the year 2000?

 

 

This exercise should give you an appreciation of how sensitive populations can be to very minor changes in demographic factors.   

 

 

WHAT SHOULD YOU TURN IN?  Submit your homework assignment via email directly to me at david.wallin@wwu.edu to the Teaching Assistant for this class Colby Rand at: randc@wwu.edu THE SUBJECT LINE OF YOUR EMAIL SHOULD INCLUDE THE FOLLOWING TEXT AND NOTHING ELSE!

 

ESCI325: Homework #2

 

As an attachment to this email, you should include your Excel worksheet.  Be sure to delete any extra worksheets from this file.  Neatness counts.  In the body of your email message, include the answers to each of the items listed in red above.  You may also include a brief narrative to explain your answers. 

 

The due date for this assignment is listed on the syllabus.  Assignments that are turned in late will be penalized as described on the class web page.

 



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