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Life tables • Were first used to estimate insurance risk in human populations – Divides the population into age specific classes – Estimates the age-specific mortality risk in each class

Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

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Page 1: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

Life tables

• Were first used to estimate insurance risk in human populations– Divides the population into age specific

classes– Estimates the age-specific mortality risk in

each class

Page 2: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

A life table for a town in the East Midlands

age pop death % death 1 death in

<1 2533 20 0.789578 127

1-4 11130 1 0.008985 11130

5-9 15519 2 0.012887 7760

10-14 16409 4 0.024377 4102

15-19 16133 9 0.055786 1793

20-24 21482 10 0.046551 2148

25-29 15997 22 0.137526 727

30-34 16026 35 0.218395 458

35-39 19800 34 0.171717 582

40-44 16076 39 0.242598 412

45-49 13404 59 0.440167 227

50-54 13027 108 0.829047 121

55-59 10051 136 1.353099 74

60-64 10220 176 1.722114 58

65-69 9190 320 3.482046 29

70-74 7427 445 5.991652 17

75-79 5231 414 7.914357 13

80-85 2884 355 12.30929 8

85+ 1840 347 18.8587 5

Page 3: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

Assembling a life table

• Cohort or Dynamic life table• Assembled by following the fate of a cohort from

birth to death.

• Static life table• Assembled estimating the age specific death risks

from the age structure at a given time

Page 4: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

age 1999 2000 2001 2002 survivorship lx

0 1000 1.00

1 400 0.40

2 100 0.10

3 20 0.02

estimated

age 1999 survivorship lx

0 1000 1.00

1 400 0.40

2 100 0.10

3 20 0.02

Dynamic life table

Static life table

Page 5: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

estimated

age 1999original

population survivorship lx survivorship

0 1000 1000 1.00 1

1 400 1200 0.40 0.33

2 100 1400 0.10 0.07

3 20 1600 0.02 0.13

estimated

age 1999 survivorship lx

0 1000 1.00

1 400 0.40

2 100 0.10

3 20 0.02

However a static life table assumes the population is stable which is usually not true

Original estimates

But what if the population is decreasing?

Decreasing population

Page 6: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

estimated

age 1999original

population survivorship lx survivorship

0 1000 1000 1.00 1

1 400 900 0.40 0.44

2 100 800 0.10 0.13

3 20 600 0.02 0.03

Population increasing

Page 7: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

Phlox drummondii (annual phlox) is native to central and eastern Texas. It is a winter annual and grows abundantly in sandy fields and on roadside verges. It germinates in response to cool rainy weather.

Page 8: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

qx=lx-lx+1

the proportion of individuals that have died over a time period =

the mortality rate.

Page 9: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0.16

0 50 100 150 200 250 300 350 400

time days

Average mortality rate per day

0.0001

0.001

0.01

0.1

1

0 50 100 150 200 250 300 350 400

time days

Average mortality rate per dayLog scale

Mortality analysis

Page 10: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

Where bx seed=number of seed per plant (Bx/Nx)

Page 11: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

0

1

2

3

4

5

6

7

8

9

10

290 300 310 320 330 340 350 360 370

Fecundity analysis

time days

Number of seed produced per plant

Page 12: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

Diagrammatic dynamic life table for Phlox drummondii

Rectangles=stages in the life-cycle

Inverted triangles= transition probabilities

Diamond=seed production

Page 13: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

A more complex diagrammatic life table of the biennial ragwort Senecio jacobea

Biennial lives for 2 years reproducing at the end of the second year

immigration

Seed bank dynamics

Dispersal

germination

establishment

Page 14: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

Survivorship curves

Type I = Found where there are ample resources e.g. human population in developed countries

Type II = A constant risk of death throughout lifespan e.g. seeds in a buried seedbank

Type III = High early mortality e.g. many plants reproducing by seed

Page 15: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

0

0.2

0.4

0.6

0.8

1

0 100 200 300 400

Survivorship curve for Phlox drummondii

Page 16: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

Survivorship curves of Erophila verna at different densities

a=1-2

b=5-10

c=15-20

d=35-50

e=>50

1000s m-2

Survivorship curves for a species depend on a range of conditions

Page 17: Life tables Were first used to estimate insurance risk in human populations –Divides the population into age specific classes –Estimates the age-specific

juveniles

immature

vegetative

generative

dead

In plants stage of development can be a more useful definition of progress than age. Data are for a perennial Ranunculus acris