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For many smaller organisms such as bacteria, ciliates, various amoeboid organisms, diatoms, and others, this equation describes population growth reasonably well.
- An Introduction to Population Growth
Understanding population growth is important for predicting,...
- Introduction to Population Demographics
Demographics can include any statistical factors that...
- The Breeder's Equation
Most of the traits that interest biologists, such as...
- Population Limiting Factors
Factors that decrease population growth can be defined as...
- Ignoring Population Structure Can Lead to Erroneous Predictions of Future Population Size
Once the stable stage distribution is reached, the relative...
- Climate Change and Avian Population Ecology in Europe
Continental population changes have been demonstrated in...
- The Population Dynamics of Vector-borne Diseases
Four examples of the vectors and the pathogens causing...
- Aging and Its Demographic Measurement
Aging is an inevitable fact of life. But as life span...
- An Introduction to Population Growth
Species can be divided into two basic types when it comes to how their populations grow. Species that live in stable environments are likely to be K-selected. Their population growth is controlled by density-dependent factors. Population size is generally at or near the carrying capacity.
A graph of this equation yields an S-shaped curve (Figure \(\PageIndex{1}\)), and it is a more realistic model of population growth than exponential growth. There are three different sections to an S-shaped curve. Initially, growth is exponential because there are few individuals and ample resources available.
Population Growth. The two simplest models of population growth use deterministic equations (equations that do not account for random events) to describe the rate of change in the size of a population over time. The first of these models, exponential growth, describes theoretical populations that increase in numbers without any limits to their ...
The figure below shows the logistic growth of a hypothetical population of animals. Drag the labels to their appropriate locations on the graph.
Understanding population growth is important for predicting, managing, monitoring, and eradicating pest and disease outbreaks.
In the Population Dynamics Click & Learn, students explore two classic mathematical models that describe how populations change over time: the exponential and logistic growth models. Students learn about each model through an interactive simulator supported by introductory information and real biological examples.
