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Exponential and Logistic Growth Curve
Introduction
๏‚ด In theory, any kind of organism could take over the Earth just by reproducing.
๏‚ด In practical, all living organisms need specific resources, such as nutrients and
suitable environments, in order to survive and reproduce.
๏‚ด These resources arenโ€™t unlimited, and a population can only reach a size that
match the availability of resources in its local environment.
Continuedโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ
๏‚ด Population ecologists use a variety of mathematical methods to
model โ€population dynamicsโ€.
๏‚ด Some of these models represent growth without environmental constraints, while
others include "ceilings" determined by limited resources.
๏‚ด Mathematical models of populations can be used to accurately describe changes
occurring in a population and, importantly, to predict future changes.
Modeling population growth rates
๏‚ด General Equation of the population growth rate:
dN/dT=rN
Where,
dN/dT is the growth rate of the population a given instant
N is population size
T is time
r is the per capita rate of increase
Continuedโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ
๏‚ด The Equation derived in previous slide was very general.
๏‚ด We can make more specific forms of it to describe two different kinds of growth
models.
Growth
Models
Exponential Growth
Logistic Growth
Exponential growth
๏‚ด Exponential growth takes place when a population's per capita growth rate stays
the same, regardless of population size, making the population grow faster and
faster as it gets larger. It's represented by the equation:
dN/dT = rmaxN
Where,
rmaxis the maximum per capita rate of increase for a particular species under ideal
conditions, and it varies from species to species.
๏‚ด Exponential growth produces a J-shaped curve.
Logistic Growth
๏‚ด Logistic growth takes place when a population's per capita growth rate decreases
as population size approaches a maximum imposed by limited resources, the
carrying capacity(K). It's represented by the equation:
dN/dT=rmax(Kโˆ’N)*N/K
Where,
(K-N)/K is the fraction of population which can still live in the enviornment and
survive.
๏‚ด Logistic growth produces an S-shaped curve.
Factors Determining the Carrying Capacity
๏‚ด Any kind of resource important to a speciesโ€™ survival can act as a limit.
๏‚ด For plants, the water, sunlight, nutrients, and the space to grow are some key
resources.
๏‚ด For animals, important resources include food, water, shelter, and nesting space.
๏‚ด Limited quantities of these resources results in competition between members of
the same population, or intraspecific competition.
๏‚ด However, as population size increases, the competition intensifies
๏‚ด Donโ€™t worry if u didnโ€™t understand all of it aboveโ€ฆโ€ฆHereโ€™s a sneak peak
Exponential and Logistics Growth Curve - Environmental Science

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Exponential and Logistics Growth Curve - Environmental Science

  • 2. Introduction ๏‚ด In theory, any kind of organism could take over the Earth just by reproducing. ๏‚ด In practical, all living organisms need specific resources, such as nutrients and suitable environments, in order to survive and reproduce. ๏‚ด These resources arenโ€™t unlimited, and a population can only reach a size that match the availability of resources in its local environment. Continuedโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ
  • 3. ๏‚ด Population ecologists use a variety of mathematical methods to model โ€population dynamicsโ€. ๏‚ด Some of these models represent growth without environmental constraints, while others include "ceilings" determined by limited resources. ๏‚ด Mathematical models of populations can be used to accurately describe changes occurring in a population and, importantly, to predict future changes.
  • 4. Modeling population growth rates ๏‚ด General Equation of the population growth rate: dN/dT=rN Where, dN/dT is the growth rate of the population a given instant N is population size T is time r is the per capita rate of increase Continuedโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ
  • 5. ๏‚ด The Equation derived in previous slide was very general. ๏‚ด We can make more specific forms of it to describe two different kinds of growth models. Growth Models Exponential Growth Logistic Growth
  • 6.
  • 7. Exponential growth ๏‚ด Exponential growth takes place when a population's per capita growth rate stays the same, regardless of population size, making the population grow faster and faster as it gets larger. It's represented by the equation: dN/dT = rmaxN Where, rmaxis the maximum per capita rate of increase for a particular species under ideal conditions, and it varies from species to species. ๏‚ด Exponential growth produces a J-shaped curve.
  • 8.
  • 9.
  • 10. Logistic Growth ๏‚ด Logistic growth takes place when a population's per capita growth rate decreases as population size approaches a maximum imposed by limited resources, the carrying capacity(K). It's represented by the equation: dN/dT=rmax(Kโˆ’N)*N/K Where, (K-N)/K is the fraction of population which can still live in the enviornment and survive. ๏‚ด Logistic growth produces an S-shaped curve.
  • 11.
  • 12. Factors Determining the Carrying Capacity ๏‚ด Any kind of resource important to a speciesโ€™ survival can act as a limit. ๏‚ด For plants, the water, sunlight, nutrients, and the space to grow are some key resources. ๏‚ด For animals, important resources include food, water, shelter, and nesting space. ๏‚ด Limited quantities of these resources results in competition between members of the same population, or intraspecific competition. ๏‚ด However, as population size increases, the competition intensifies
  • 13. ๏‚ด Donโ€™t worry if u didnโ€™t understand all of it aboveโ€ฆโ€ฆHereโ€™s a sneak peak

Editor's Notes

  1. rย is theย per capitaย rate of increase โ€“that is, how quickly the population growsย per individualย already in the population.ย 
  2. Exponential growth may happen for a while, if there are few individuals and many resources. But when the number of individuals gets large enough, resources start to get used up, slowing the growth rate. A term comes the carrying capacity. It is the amount of resources available in an environment which can sustain a limited amount of population is carrying capacity of that environment.