Population Growth Curves
- Populations of living organisms tend to follow a set growth pattern over time; this growth pattern gives rise to a population growth curve that can be plotted on a graph
- Population growth curves can generally be seen in any newly established or recovering population, e.g.
- Antarctic fur seals were hunted extensively during the 1800s, and underwent a population recovery following the end of this practice
- The recovery of the seal population in some locations follows a classic growth curve, e.g. in the graph below for seals on Cape Shirreff, Antarctica
- Pup count is used to represent the size of the seal population
- Note that this recovery has not continued throughout the early 21st century, with climate change having since caused severe declines in many seal populations
Antarctic fur seal growth curve graph
The Antarctic fur seal population in Cape Shirreff, Antarctica, followed a classic growth curve between 1960 and the early 2000s
- The population growth curve shown above is an example of a sigmoid, or s-shaped, growth curve
- Such curves contain three phases:
- Exponential phase
- Also known as the logarithmic phase
- Here there are no factors that limit population growth, so the population increases exponentially
- The number of individuals increases, and so does the rate of growth
- Transition phase
- Limiting factors start to act on the population, e.g. competition increases and predators are attracted to large prey populations
- The rate of growth slows, though the population is still increasing
- Plateau phase
- Also known as the stationary phase
- Limiting factors cause the death rate to equal the birth rate and population growth stops
- This plateau occurs at the carrying capacity
- The population size often fluctuates slightly around the carrying capacity
- Exponential phase
Population growth curve graph
Sigmoidal population growth curves show an exponential growth phase, a transitional phase and a plateau phase
NOS: The curve represents an idealised graphical model
- Scientists use models to represent real world ideas, organisms, processes and systems that cannot be easily investigated
- Models are useful for the purposes of experimentation and testing predictions, but they are not perfect representations of biological systems
- Here, the population growth model is useful for conceptualising the different stages in the growth of a population, but scientists must always be aware that real ecosystems are complex and that there are many factors at play in determining population size
- There are few real-world situations where populations follow perfect sigmoid growth curves, and the seal population example given above soon showed population decline rather than remaining at a plataeu