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Population Growth.
Growth models:
Exponential growth
Logistic growth
The size of a population for any species is not a static
parameter
• Population keeps changing with time.
• Population changes depending on various factors.
• food availability,
• predation
• Atmospheric pressure
• adverse weather.
The population changes in a given habitat
due to changes in four basic processes:
• Natality
• Mortality
• Immigration
• Emigration
• Natality and Immigration: increase population density..
• Mortality and emigration decrease population density..
• Natality refers to the number of births in the population
during a given period.
• Mortality is the number of deaths in the population
during a given period.
• Immigration is the number of individuals of the same
species that have come into the habitat from elsewhere
during the time period.
• Emigration is the number of individuals of the
population who left the habitat and gone elsewhere
during the time period under.
• Nt+1 = Nt + [(B + I) – (D + E)]
• N is the population density at time t,
• then its density at time t +1 is
• Population density will increase if the number of births
+ immigrants (B + I) is more than the number of deaths
+ emigrants (D + E).
• For instance, if a new habitat is just being colonised,
immigration may contribute more significantly to
population growth than birth rates
Growth Models :
• Exponential growth:
• Logistic growth:
Exponential growth:
Exponential growth:
• Resource (food and space) availability is essential for
the growth of a population.
• When resources in the habitat are unlimited, each
species has potential to grow in number:
• Observed by Darwin while developing his theory of
natural selection.
• When food and space are available the population of
species grows in an exponential or geometric fashion.
• Darwin showed how even a slow growing animal like
elephant could reach enormous numbers in the
absence of checks.
• If in a population of size N.
• b = the birth rates
• d = death rates
• Increase or decrease in N during a unit time period t
• dN/dt = (b – d) × N
• (b–d) = r
dN/dt = rN
• The “r” in this equation is called the ‘intrinsic rate of
natural increase’
• “r” values, for the Norway rat is 0.015.
• The flour beetle it is 0.12.
• In 1981, the “r” value for human population in India
was 0.0205..
when we plot N in relation to time results in a
J-shaped curve..
• The integral form of the exponential growth equation as
• Nt = N0 ert
• Nt = Population density after time t
• N0 = Population density at time zero
• r = intrinsic rate of natural increase
• e = the base of natural logarithms (2.71828)
• Paramecium starting with just one individual and
through binary fission, doubling in numbers every day,
• Then imagine after 64 days the population size (food
and space remain unlimited)
Logistic growth
or
Verhulst-Pearl Logistic Growth
• A population growing in a habitat with limited resources
show initially :
• lag phase,
• acceleration
• deceleration
• and finally an asymptote (Zero).
A plot of N in relation to time (t) results in a sigmoid curve.
• =dN/dt= rN (K-N/K)
• N = Population density at time t
• r = Intrinsic rate of natural increase
• K = Carrying capacity
• K= In a given habitat has enough resources to support a
maximum possible number, beyond which no further growth
is possible..
No population of any species in nature has its disposal
unlimited resources to permit exponential growth".
• This leads to competition between individuals for
limited resources.
• Only the ‘fittest’ individual will survive and reproduce.
• The governments of many countries have also realised
this fact..
• and introduced various restraints (controls) with a view
to limit human population growth..
Harinatha Reddy Aswartha
Assistant Professor
Department of Microbiology
biohari14@gmail.com
Population growth

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Population growth

  • 2. The size of a population for any species is not a static parameter • Population keeps changing with time. • Population changes depending on various factors. • food availability, • predation • Atmospheric pressure • adverse weather.
  • 3. The population changes in a given habitat due to changes in four basic processes: • Natality • Mortality • Immigration • Emigration • Natality and Immigration: increase population density.. • Mortality and emigration decrease population density..
  • 4. • Natality refers to the number of births in the population during a given period. • Mortality is the number of deaths in the population during a given period.
  • 5. • Immigration is the number of individuals of the same species that have come into the habitat from elsewhere during the time period. • Emigration is the number of individuals of the population who left the habitat and gone elsewhere during the time period under.
  • 6.
  • 7. • Nt+1 = Nt + [(B + I) – (D + E)] • N is the population density at time t, • then its density at time t +1 is
  • 8. • Population density will increase if the number of births + immigrants (B + I) is more than the number of deaths + emigrants (D + E). • For instance, if a new habitat is just being colonised, immigration may contribute more significantly to population growth than birth rates
  • 9. Growth Models : • Exponential growth: • Logistic growth:
  • 11. Exponential growth: • Resource (food and space) availability is essential for the growth of a population. • When resources in the habitat are unlimited, each species has potential to grow in number: • Observed by Darwin while developing his theory of natural selection.
  • 12. • When food and space are available the population of species grows in an exponential or geometric fashion. • Darwin showed how even a slow growing animal like elephant could reach enormous numbers in the absence of checks.
  • 13. • If in a population of size N. • b = the birth rates • d = death rates • Increase or decrease in N during a unit time period t • dN/dt = (b – d) × N • (b–d) = r dN/dt = rN
  • 14. • The “r” in this equation is called the ‘intrinsic rate of natural increase’ • “r” values, for the Norway rat is 0.015. • The flour beetle it is 0.12. • In 1981, the “r” value for human population in India was 0.0205..
  • 15. when we plot N in relation to time results in a J-shaped curve..
  • 16. • The integral form of the exponential growth equation as • Nt = N0 ert • Nt = Population density after time t • N0 = Population density at time zero • r = intrinsic rate of natural increase • e = the base of natural logarithms (2.71828)
  • 17. • Paramecium starting with just one individual and through binary fission, doubling in numbers every day, • Then imagine after 64 days the population size (food and space remain unlimited)
  • 19. • A population growing in a habitat with limited resources show initially : • lag phase, • acceleration • deceleration • and finally an asymptote (Zero).
  • 20. A plot of N in relation to time (t) results in a sigmoid curve.
  • 21. • =dN/dt= rN (K-N/K) • N = Population density at time t • r = Intrinsic rate of natural increase • K = Carrying capacity • K= In a given habitat has enough resources to support a maximum possible number, beyond which no further growth is possible..
  • 22. No population of any species in nature has its disposal unlimited resources to permit exponential growth". • This leads to competition between individuals for limited resources. • Only the ‘fittest’ individual will survive and reproduce.
  • 23. • The governments of many countries have also realised this fact.. • and introduced various restraints (controls) with a view to limit human population growth..
  • 24. Harinatha Reddy Aswartha Assistant Professor Department of Microbiology biohari14@gmail.com