Study Notes on Population Size and Growth Patterns

Population Size and Survivorship Curves

Survivorship Curves

  • Definition: Survivorship curves are graphical representations of the number of individuals in a population that survive to different ages.
Types of Survivorship Curves
  1. Type I (Humans)

    • Characteristic: High survival rates during early and middle life, with a steep decline in survivorship as age increases.
    • Implication: Indicates a population with lower mortality rates early in life and significant mortality at later ages.
    • Example: Humans exhibit Type I survivorship curves, where most individuals live to adulthood, but mortality increases sharply in older age.
  2. Type II (Birds)

    • Characteristic: A constant mortality rate regardless of age; individuals are equally likely to die at any age.
    • Implication: Reflects an intermediate survival strategy, ensuring some individuals survive to old age while others may die young.
    • Example: Many bird species demonstrate type II curves, maintaining a steady death rate across their lifespan.
  3. Type III (Trees)

    • Characteristic: High mortality rates in early life stages with relatively low rates for those who survive youth.
    • Implication: This strategy reflects high offspring production with the expectation that many will not survive to maturity.
    • Example: Trees produce numerous seeds; however, only a small fraction survive to maturity due to environmental factors.

Exponential and Logistic Growth

  • Definition: These terms refer to the patterns of population growth over time, influenced by factors such as resources and carrying capacity.
Exponential Growth
  • Characteristics: A rapid increase in population size when resources are unlimited.
  • Graphical Representation:
    • Population size increases sharply over time.
    • Visual representation shows the curve rising steeply, indicating growth without constraints.
  • Formula: N(t)=N0ertN(t) = N_0 e^{rt}
    • Where:
      • N(t)N(t) = population size at time tt
      • N0N_0 = initial population size
      • ee = base of the natural logarithm
      • rr = rate of growth
      • tt = time
Logistic Growth
  • Characteristics: Growth that occurs when resources are limited, leading to a stabilization of population size at carrying capacity.
  • Graphical Representation:
    • Initially resembles exponential growth but begins to level off as it approaches the carrying capacity.
    • The population grows quickly, then slows down, stabilizing around a certain maximum size.
  • Carrying Capacity:
    • Definition: The maximum number of individuals that an environment can sustain due to limitations in resources (food, space, etc.).
    • Visual representation shows a horizontal asymptote as the population reaches this capacity.
  • Formula: N(t)=K1+KN<em>0N</em>0ertN(t) = \frac{K}{1 + \frac{K-N<em>0}{N</em>0} e^{-rt}}
    • Where:
      • KK = carrying capacity
      • Other variables are as described above.