Population dynamics with Matrices. A is the population projection matrix.

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Population dynamics with Matrices

Transcript of Population dynamics with Matrices. A is the population projection matrix.

Page 1: Population dynamics with Matrices. A is the population projection matrix.

Population dynamics with Matrices

Page 2: Population dynamics with Matrices. A is the population projection matrix.

• A is the population projection matrix

Page 3: Population dynamics with Matrices. A is the population projection matrix.

• Leslie 1945 summarized the existing theory at the time for populations with a certain age structure. Each age was one unit of time apart

Page 4: Population dynamics with Matrices. A is the population projection matrix.

• F is the stage specific Fecundity.• G is the survival from stage i to stage i+1

Page 5: Population dynamics with Matrices. A is the population projection matrix.

• Lefkovitch (1965) proposed that the population stages need not have the same duration and that some in a given stage will survive and stay in the same stage after one year (or time interval).

Page 6: Population dynamics with Matrices. A is the population projection matrix.

• Lefkovitch (1965) proposed that the population stages need not have the same duration and that some in a given stage will survive and stay in the same stage after one year (or time interval).

• In the above P1, P2, P3, P4 is the probability that females in stages 1-4 will remain in the same stage the following year.

Page 7: Population dynamics with Matrices. A is the population projection matrix.

Northern Spotted Owl

Page 8: Population dynamics with Matrices. A is the population projection matrix.

Northern Spotted Owl

• http://www.fs.fed.us/psw/rsl/projects/wild/lamberson1.PDF • ROLAND H. LAMBERSON, ROBERT McKELVEY, BARRY R. NOON,

CURTIS VOSS, 1992. A Dynamic Analysis of Northern Spotted Owl• Viability in a Fragmented Forest Landscape*. Conservation Biology• Volume 6, No. 4, December 1992• Or http://www.fs.fed.us/psw/publications/documents/gtr-133/chap8.pdf

Page 9: Population dynamics with Matrices. A is the population projection matrix.

• For the questions to follow we will assume a Lefkovitch population projection matrix structure as shown above

Page 10: Population dynamics with Matrices. A is the population projection matrix.

4 years of population data for the spotted owl is shown below.

• Using the 1991 to 1992 data what is the fecundity F of the pairs? (F2=0)

• Assume that P1=P2=0 i.e. Owls in stage 1 or 2 automatically advance to the next stage and that P3=0.94 i.e. 94% survival rate of mating pairs.

Page 11: Population dynamics with Matrices. A is the population projection matrix.

4 years of population data for the spotted owl is shown below.

• Using the 1991 to 1992 data what is the fecundity F of the pairs? (F2=0)• F=F3=33/88=0.38• Assume that P1=P2=0 i.e. Owls in stage 1 or 2 automatically advance to the next stage and that P3=0.94 i.e. 94% survival rate of mating pairs.

Page 12: Population dynamics with Matrices. A is the population projection matrix.

4 years of population data for the spotted owl is shown below.

• Using the 1991 to 1992 data what is the value of G1? G1 is the fraction of stage 1 individuals advancing to stage 2.

• Assume that P1=P2=0 i.e. Owls in stage 1 or 2 automatically advance to the next stage and that P3=0.94 i.e. 94% survival rate of mating pairs.

Page 13: Population dynamics with Matrices. A is the population projection matrix.

4 years of population data for the spotted owl is shown below.

• Using the 1991 to 1992 data what is the value of G1? G1 is the fraction of stage 1 individuals advancing to stage 2. • G1=7/36=0.19• Assume that P1=P2=0 i.e. Owls in stage 1 or 2 automatically advance to the next stage and that P3=0.94 i.e. 94% survival rate of mating pairs.

Page 14: Population dynamics with Matrices. A is the population projection matrix.

4 years of population data for the spotted owl is shown below.

• Using the 1991 to 1992 data what is the value of G2? G2 is the fraction of stage 2 individuals advancing to stage 3.

• Assume that P1=P2=0 i.e. Owls in stage 1 or 2 automatically advance to the next stage and that P3=0.94 i.e. 94% survival rate of mating pairs.

Page 15: Population dynamics with Matrices. A is the population projection matrix.

4 years of population data for the spotted owl is shown below.

• Using the 1991 to 1992 data what is the value of G2? G2 is the fraction of stage 2 individuals advancing to stage 3. • G2=(87-88*.94)/9=0.48• Assume that P1=P2=0 i.e. Owls in stage 1 or 2 automatically advance to the next stage and that P3=0.94 i.e. 94% survival rate of mating pairs.

Page 16: Population dynamics with Matrices. A is the population projection matrix.

• Four points are worth noting here about the eigenvalues, r for population projection matrices

Nt+1=ANt:

• When r=1.0 the exponential term is a constant term, • when r less than 1.0 the exponential term eventually goes

to zero• if r is greater than 1.0 will be exponential growth.• If r is a complex number this corresponds to oscillations

Page 17: Population dynamics with Matrices. A is the population projection matrix.

Question

Using a difference equation

Nt+1=Ant

The dominant eigenvalue is =1.04.

What is the implied population rate of increase?

Will this population grow or get smaller?

Page 18: Population dynamics with Matrices. A is the population projection matrix.

Question

Using a difference equation

Nt+1=Ant

The dominant eigenvalue is =1.04.

What is the implied population rate of increase?

4% increase each year

Page 19: Population dynamics with Matrices. A is the population projection matrix.

Question

Using a flow equation

The dominant eigenvalue is r=.02. What is the implied population rate of increase?

ANdt

dN

Four points are worth noting here about the eigenvalues, r , for transport matricesIn flow equations like above :

When r=0 the exponential term is a constant term, when r is negative the exponential term eventually goes to zero if r is positive there will be exponential growth.If r is a complex number this corresponds to oscillations

Page 20: Population dynamics with Matrices. A is the population projection matrix.

Question

Using a flow equation

The dominant eigenvalue is r=.02. What is the implied population rate of increase?

2% increase each year

ANdt

dN

Page 21: Population dynamics with Matrices. A is the population projection matrix.

What is the transpose of the matrix below?

153

726

241

A

Page 22: Population dynamics with Matrices. A is the population projection matrix.

What is the transpose of the matrix below?

172

524

361TA

Page 23: Population dynamics with Matrices. A is the population projection matrix.

The population projection matrix and initial population are shown below. What is the population after 1 year?

____

____

____

0

0

10

N

110

115.

241

1

0

N

A

Page 24: Population dynamics with Matrices. A is the population projection matrix.

The population projection matrix and initial population are shown below. What is the population after 1 year?

Assume N1=AN0

_0

5

10

0

0

10

N

110

115.

241

1

0

N

A

Page 25: Population dynamics with Matrices. A is the population projection matrix.

The last four years of a long population model simulation are shown below.

• What is the dominant eigenvalue for this population? And what is the percent growth rate?

Page 26: Population dynamics with Matrices. A is the population projection matrix.

The last for years of a long population model simulation are shown below.

• What is the dominant eigenvalue for this population? 1.11

• And what is the percent growth rate? 11 %

Page 27: Population dynamics with Matrices. A is the population projection matrix.

• Deborah T.Crouse, L.B. Crowder, and H. Caswell. 1987. A stage-based population Model for Loggerhead Sea Turtles and implications for conservation. Ecology, 68 (5), 1412 1423.