A population is a group of individuals of the same species that live in the same geographical area at the same time and are capable of interbreeding.
A meta-population is a "population of populations." It's a group of spatially separated populations of the same species that are connected by occasional dispersal (migration of individuals) between them.
This theory describes two main strategies organisms use to maximize reproductive success. These strategies exist on a continuum.
These species are adapted for rapid population growth in unstable environments. Their strategy is to produce many offspring quickly. They are associated with the 'r' (intrinsic rate of increase).
These species are adapted for survival in stable environments near the carrying capacity (K). Their strategy is to produce fewer, "higher quality" offspring and invest heavily in them.
| Characteristic | r-Selected Species | K-Selected Species | 
|---|---|---|
| Environment | Unstable, unpredictable | Stable, predictable | 
| Survivorship Curve | Type III (high early mortality) | Type I (high late mortality) | 
| Offspring | Many, small-sized | Few, large-sized | 
| Parental Care | Little or none | Extensive | 
| Lifespan | Short | Long | 
| Examples | Insects, bacteria, weeds, oysters | Elephants, whales, humans, large trees | 
Populations have unique group attributes that individuals do not.
The number of individuals per unit area or volume (D = N / S).
The rate at which new individuals are produced.
The rate at which individuals die.
The distribution of individuals among different age classes (pre-reproductive, reproductive, post-reproductive). This is visualized using an age pyramid.
A life table is an age-specific summary of the mortality and survival patterns of a population. It follows a cohort (a group of individuals born at the same time) from birth until all are dead.
Key columns in a life table:
A survivorship curve is a graph plotting the data from a life table (logarithm of the number of survivors, lx, vs. age). It shows the pattern of mortality.
Describes growth in populations with discrete, non-overlapping breeding seasons (e.g., annual plants). The population grows in steps.
Formula: N(t) = N(0) * λᵗ
Where N(t) = size at time t, N(0) = initial size, λ = geometric rate of increase, t = number of generations.
Describes growth in populations with continuous reproduction in an unlimited environment. There are no limiting factors.
Formula: dN/dt = rN
Where dN/dt = rate of change in size, r = intrinsic rate of natural increase, N = population size.
This model results in a J-shaped curve. It cannot be sustained indefinitely.
A more realistic model that incorporates limiting factors and the concept of carrying capacity (K).
Carrying Capacity (K): The maximum population size an environment can sustainably support.
Formula: dN/dt = rN * ( (K - N) / K )
Where (K - N) / K is "environmental resistance."
This model results in a sigmoid or S-shaped curve.
These are the factors that cause the logistic (S-shaped) curve.
Factors whose effect varies with population density. They become more intense as density increases. These are biotic factors that "regulate" a population around K.
Factors that affect a population regardless of its density. They are typically abiotic and do not regulate, but can cause sudden crashes.