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DEMOGRAPHY

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DEMOGRAPHY
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DEMOGRAPHY



READINGS:

FREEMAN, 2005

CHAPTER 52

Pages 1192-1196

What is a Population?

• A group of individuals living in a

particular area.

• Individuals that interact while seeking

resources and in producing offspring.

• Members of a group that are subject to

the same local conditions of the

environment.

• Members of a single species.

Patterns of Dispersion

Individuals in a population may be

distributed according to 3 basic patterns

of dispersion:



* Random

* Uniform

* Clumped

Random

• What?

Scattered; no

regularity and

affinity



• Why?

Environment uniform;

individuals solitary

Uniform

• What?

About equal distance

apart; regular with no

affinity



• Why?

Resource competition;

antagonism

Clumped

• What?

Grouped in some

places, absent in

others; irregular with

affinity



• Why?

Resources patchy;

individuals aggregate

The Frog Problem



Dr. T., an ecologist, wanted to find out how

many frogs live in a small pond. On the first

trip to the pond, 55 frogs were caught,

banded, and released. The second trip to the

pond, 72 frogs were caught, of those 72

frogs, 12 were banded. Assuming the banded

frogs had thoroughly mixed with the

unbanded frogs, how many frogs live in the

pond?

CAPTURE/RECAPTURE OF

FROGS

How many frogs in the pond?

If X= number of frogs in pond, the

proportion of marked frogs on the 1st day

must equal the proportion of marked frogs

on the 2nd day.

X = 72 or X = 55 x 72 = 330 frogs

55 12 12

ABUNDANCE

• Most population studies begin with a statement of

abundance.

• The number of individuals in a population may be

obtained by:

1. census- Counting all individuals.

2. sampling- Counting a known fraction to

arrive at an estimate of total number.

• Many ecological studies require use of sampling,

such as capture/recapture or the plot method.

PLOT METHOD OF

SAMPLING

1. Subdivide an area into

equal sized plots.

2. Randomly sample a

known proportion of

the area.

3. Calculate the average

number of individuals

per plot.

4. Multiply this average

times the number of

plots in the area.

A Maple Tree Problem



A biology student wanted to know how

many maple trees there were in his

hometown. He knew the town covered

an area of 520 blocks. To estimate how

many trees, he counted all trees in a

random sample of 10 blocks and found

that there were 45 maple trees. How

many trees are there in his home town?

PLOT METHOD FOR MAPLE

TREES

How many maple trees in the town?

Let X= number of maple trees in town. If a

known proportion of equal sized plots are

sampled at random, then the number of trees in

the area is equal to the average number of

trees per plot times the number of plots.

X = 45 or X = 520 x 45 = 2340 trees

520 10 10

ACCURACY OF ESTIMATES

• Both the capture/recapture and the plot

methods are most accurate when

distribution of individuals is either

uniform or random. Clumped

distributions of individuals are highly

subject to error.

• Larger sample sizes provide the more

accurate estimates.

Understanding Check

A biologist was concerned about reports that

fewer small mouthed bass were being caught

in Joe’s Pond. He conducted a capture-

recapture study to estimate the size of this

fish population. He caught and marked 200

bass and returned them to the pond. The

following day, 240 bass were caught of which

60 were marked. When the fish population of

any species falls below 500, the pond should

be closed to fishing. Should the pond be

closed?

POPULATION ECOLOGY

• The study of how and why the number of

individuals change over time.

• Changes in abundance are made through

comparison of direct counts or estimates in

numbers of individuals.

• Changes in density or numbers of individuals

per unit area or volume are often used where

population sizes are very large or difficult to

sample.

MORTALITY, NATALITY AND

MOVEMENT

• New individuals are added to a

population by NATALITY (BIRTHS) or

IMMIGRATION (IN MOVEMENT).

• Existing individuals are removed from a

population by MORTALITY (DEATHS)

or EMIGRATION (OUT MOVEMENT).

POPULATION DYNAMICS

• If natality (births) and immigration (in

movement) exceed mortality (deaths)

and emigration (out movement), then

populations increase.

• If mortality (deaths) and emigration (out

movement) exceed natality (births) and

immigration (in movement), then

populations decrease.

POPULATION DYNAMICS

• If natality (births) and immigration (in

movement) equals mortality (deaths)

and emigration (out movement), then

populations are stationary; there is no

increase or decrease in number.

• Stationary populations are rare, but

minor fluctuations around a mean or

average population size is common.

A POPULATION DYNAMICS

PROBLEM

A prairie is inhabited by a ground squirrel

population for which:

natality is 25 per year

mortality is 20 per year

immigration is 5 per year

emigration is 10 per year

This population is:

a. increasing.

b. decreasing.

c. stationary.

DEMOGRAPHY

• A study of deaths, births and

movements and predictions of how

these factors determine the size and

structure of populations through time.

• Involves construction of life tables,

survivorship curves, fecundity tables

and calculation of reproductive output.

POPULATION

PROJECTIONS

Can be made using:

1. Life table, maturnity tables and

reproductive outputs.

2. Age structures.

3. Mathematical models that

incorporate birth rates, death

rates and doubling times.

BASIC DEMOGRAPHIC

TOOLS

• Life tables are constructed from age

specific deaths. lx is the proportion of

individuals surviving to a given age.

• Age specific fecundity. mx is the number

of female births to females of a given

age.

• Net reproductive output, Ro , is sum lx mx

over all age classes.

RO AND POPULATION

DYNAMICS



The following rules can be used to

determine if a population is stationary,

increasing or decreasing. The rules are:

• If Ro = 1, then population is stationary.

• If Ro > 1, then population is growing.

• If Ro < 1, then population is declining.

LIFE TABLE



• A device for showing mortality changes

associated with an age interval (X).

• The number of deaths at a given age (DX) is

recorded.

• The number of survivors at the beginning of

an age interval (SX) is determined.

• The proportion of “newborns” that survive to a

given age interval (lX) is calculated.

A SIMPLE LIFE TABLE

X (AGE) DX SX

O-1 500 1,000

1-2 200

2-3 100

3-4 100

4-5 100

5

A SIMPLE LIFE TABLE

X (AGE) DX SX

O-1 500 1,000

1-2 200 500

2-3 100

3-4 100

4-5 100

5

A SIMPLE LIFE TABLE

X (AGE) DX SX

O-1 500 1,000

1-2 200 500

2-3 100 300

3-4 100

4-5 100

5

A SIMPLE LIFE TABLE

X (AGE) DX SX

O-1 500 1,000

1-2 200 500

2-3 100 300

3-4 100 200

4-5 100 100

5 0

AGE SPECIFIC

SURVIVORSHIP (lx)

• The proportion of live births that survive

to the beginning of any age interval is

defined as age specific survivorship (lX).

• The proportion of the original

population alive at age X0 is always

100% or 1.00. Thus, l0 = 1.00

• lX for any subsequent age interval is

Sx/S0.

A SIMPLE LIFE TABLE

X DX SX lX

O-1 500 1,000 1.00

1-2 200 500 500/1000

2-3 100 300

3-4 100 200

4-5 100 100

5 0

A SIMPLE LIFE TABLE

X DX SX lX

O-1 500 1,000 1.00

1-2 200 500 0.50

2-3 100 300 300/1000

3-4 100 200

4-5 100 100

5 0

A SIMPLE LIFE TABLE

X DX SX lX

O-1 500 1,000 1.00

1-2 200 500 0.50

2-3 100 300 0.30

3-4 100 200 0.20

4-5 100 100 0.10

5 0 0

SURVIVORSHIP CURVE

• The proportion of individuals living to

various ages is the survivorship of a

population.

• A survivorship curve is constructed by

plotting age specific survivorship (lx) and

age (X).

• Survivorship curves indicate those ages

at which mortality is high.

TYPE I

SURVIVORSHIP



• Some juvenile

mortality



• Secure middle age



• High mortality at old

age

TYPE II

SURVIVORSHIP



• Some to substantial

juvenile mortality



• Constant mortality

thereafter

TYPE III

SURVIVORSHIP



• Heavy juvenile

mortality



• Relative security

thereafter

A GRAY SQUIRREL

POPULATION IN A WOOD

LOT

• This squirrel

population living in

an Ohio woodlot has

a type II survivorship

curve.

• Typical of a

population with

accidental death.

A PALM TREE POPULATION

WITH A TYPE III

SURVIVORSHIP

A POPULATION OF

DRUMMOND’S PHLOX

DEMOGRAPHY



READINGS:

FREEMAN, 2005

CHAPTER 52

Pages 1192-1196


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