14.2 Measuring and Modeling Population Change - PowerPoint PPT Presentation

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14.2 Measuring and Modeling Population Change

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Title: 14.2 Measuring and Modeling Population Change


1
14.2 Measuring and Modeling Population Change
2
Carrying capacity
  • The maximum number of organisms that can be
    sustained by available resources over a given
    period of time
  • Is dynamic because environmental conditions are
    always changing

3
Population growth factors
  • Population dynamics changes in population
    characteristics
  • The main determinants are
  • natality (birth rate)
  • mortality (death rate)
  • Immigration (individuals moving in)
  • Emigration (individuals moving out)

4
Population change
  • (births immigration) - (deaths emigration)
    x100
  • initial population size
  • (BI)-(DE)/ n x 100

5
  • CLOSED POPULATION
  • A population whose growth is influenced only by
    natality and mortality
  • OPEN POPULATION
  • A population whose growth is influenced by
    natality, mortality and migrations

6
Factors affecting Birth rate
  • Fecundity theoretical maximum number of
    offspring that could be produced by a species in
    one lifetime

7
  • Fertility the number of offspring actually
    produced by an individual during its lifetime.
  • affected by food supply, disease, mating success,
    etc.

8
Type I survivorship
  • Type I species that have a high survival rate of
    the young, live out most of their expected life
    span and die in old age.
  • Example Elephants are slow to reach sexual
    maturity and have few offspring. They have a long
    life expectancy

9
Type III survivorship
  • Type III species that have many young, most of
    which die very early in their life.
  • Example Plants, oysters and sea urchins.

10
Type II survivorship
  • Type II species that have a relatively constant
    death rate throughout their life span. Death
    could be due to hunting or diseases.
  • Examplescoral, squirrels, honey bees and many
    reptiles.

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12
Biotic potential
  • maximum reproductive rate under ideal conditions
    (intrinsic rate of natural increase)
  • Example Under ideal conditions, a population of
    bacteria can grow to more than 10 in 24 h.
  • Limiting Factor the name applied to an essential
    resource that is in short supply or unavailable,
    and prevents an organism from achieving this
    potential

13
Geometric Growth
  • - births take place at one time of the year
    (i.e., breeding season), but deaths may occur all
    year
  • - population grows rapidly during breeding
    season, declines throughout year until next
    breeding season
  • - constant growth rate must be compared by
    looking at same time each year
  • - annual growth rate can be determined
  • - line of best fit (on graph) produces J-curve
  • - examples seals, deer, salmon

14
Geometric growth
  • A population that grows rapidly during breeding
    season, then declines through the year until the
    next breeding season

15
  • Populations with geometric growth curves
    experience a constant growth rate
  • Determine growth rate with formula
  • ? N(t1)/N(t)
  • where ? (lambda) represents the geometric growth
    rate
  • N(t1) represents the population size in a given
    year
  • N(t) represents the population size at the same
    time in the previous year. (See page 663)

16
  • This equation can be generalized and rearranged
    to find population size at any given time
  • N(t) N(0) ?t
  • See page 633-634, Sample Problem

17
Exponential growth
  • reproduction is continuous throughout year (i.e.,
    no breeding season)
  • - constant growth rate
  • - instantaneous growth rate can be determined,
    more complex than ageometric formula
  • - examples yeast, bacteria, humans
  • In natural populations, exponential growth does
    not continue indefinitely because of limited
    amounts of energy, water, shelter, space

18
  • Can use a modified form of exponential growth
    formula to estimate doubling time.
  • See Sample Problem p.665

19
  • Both geometric and exponential growth models
    produce similar graphs, known a J-curves.

20
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21
Logistic Growth Curve
Stationary phase - stabilizing
Log phase very rapid growth
Lag phase small population size, therefore slow
population growth
22
r- and k- species
  • Depending on their reproductive strategies,
    species can be characterized as r or k species.
  • r is the instantaneous rate of population
    increase while k is the carrying capacity.

23
  • The r-species possess characteristics of high
    biotic potential, rapid development, early
    reproduction, single period of reproduction per
    individual, short life cycle, and small body
    size.
  • Populations of r-species usually remain below the
    carrying capacity and are regulated by
    density-independent factors

24
  • k-species possess characteristics of low biotic
    potential, slow development, delayed
    reproduction, multiple periods of reproduction
    per individual, long life cycle and larger body
    size.
  • populations of k-species are usually maintained
    near the carrying capacity and regulated by
    density dependent factors

25
  • In disrupted habitats r-species are more common
    while k-species are common in stable habitats.
    Many of our agricultural pests are r-species.
    Most organisms however actually have attributes
    that fit both r and k species.
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