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Exponential Population Growth
When resources are unlimited, a population can experience exponential growth, where its size increases at a greater and greater rate.
Learning Objective

Describe exponential growth of a population size
Key Points
 To get an accurate growth rate of a population, the number that died in the time period (death rate) must be removed from the number born during the same time period (birth rate).
 When the birth rate and death rate are expressed in a per capita manner, they must be multiplied by the population to determine the number of births and deaths.
 Ecologists are usually interested in the changes in a population at either a particular point in time or over a small time interval.
 The intrinsic rate of increase is the difference between birth and death rates; it can be positive, indicating a growing population; negative, indicating a shrinking population; or zero, indicting no change in the population.
 Different species have a different intrinsic rate of increase which, when under ideal conditions, represents the biotic potential or maximal growth rate for a species.
Terms

per capita
per person or individual

fission
the process by which a bacterium splits to form two daughter cells
Full Text
Exponential growth
In his theory of natural selection, Charles Darwin was greatly influenced by the English clergyman Thomas Malthus. Malthus published a book in 1798 stating that populations with unlimited natural resources grow very rapidly, after which population growth decreases as resources become depleted. This accelerating pattern of increasing population size is called exponential growth.
The best example of exponential growth is seen in bacteria. Bacteria are prokaryotes that reproduce by prokaryotic fission. This division takes about an hour for many bacterial species. If 1000 bacteria are placed in a large flask with an unlimited supply of nutrients (so the nutrients will not become depleted), after an hour there will be one round of division (with each organism dividing once), resulting in 2000 organisms. In another hour, each of the 2000 organisms will double, producing 4000; after the third hour, there should be 8000 bacteria in the flask; and so on. The important concept of exponential growth is that the population growth rate, the number of organisms added in each reproductive generation, is accelerating; that is, it is increasing at a greater and greater rate. After 1 day and 24 of these cycles, the population would have increased from 1000 to more than 16 billion. When the population size, N, is plotted over time, a Jshaped growth curve is produced .
Exponential population growth
When resources are unlimited, populations exhibit exponential growth, resulting in a Jshaped curve. When resources are limited, populations exhibit logistic growth. In logistic growth, population expansion decreases as resources become scarce. It levels off when the carrying capacity of the environment is reached, resulting in an Sshaped curve.
The bacteria example is not representative of the real world where resources are limited. Furthermore, some bacteria will die during the experiment and, thus, not reproduce, lowering the growth rate. Therefore, when calculating the growth rate of a population, the death rate (D; the number organisms that die during a particular time interval) is subtracted from the birth rate (B; the number organisms that are born during that interval). This is shown in the following formula:
where
Notice that the "d" associated with the first term refers to the derivative (as the term is used in calculus) and is different from the death rate, also called "d." The difference between birth and death rates is further simplified by substituting the term "r" (intrinsic rate of increase) for the relationship between birth and death rates:
The value "r" can be positive, meaning the population is increasing in size; negative, meaning the population is decreasing in size; or zero, where the population's size is unchanging, a condition known as zero population growth. A further refinement of the formula recognizes that different species have inherent differences in their intrinsic rate of increase (often thought of as the potential for reproduction), even under ideal conditions. Obviously, a bacterium can reproduce more rapidly and have a higher intrinsic rate of growth than a human. The maximal growth rate for a species is its biotic potential, or r_{max}, thus changing the equation to:
Key Term Reference
 natural selection
 Appears in these related concepts: Sociobiology, Charles Darwin and Natural Selection, and Evolutionary Theory of Motivation
 nutrient
 Appears in these related concepts: Properties of Life, Plant Nutrition, and Food Requirements and Essential Nutrients
 population
 Appears in these related concepts: Applications of Statistics, The Purpose of Statistics, and Basic Inferential Statistics
 prokaryote
 Appears in these related concepts: Ribosomes, Bacterial Chromosomes in the Nucleoid, and Classification of Prokaryotes
 prokaryotic
 Appears in these related concepts: Levels of Organization of Living Things, Cells as the Basic Unit of Life, and Characteristics of Prokaryotic Cells
 species
 Appears in these related concepts: The Species Concept in Microbiology, Emerging and Reemerging Infectious Diseases, and The Biological Species Concept
 theory
 Appears in these related concepts: Leadership Model: University of Michigan, Scientific Reasoning, and Psychology and the Scientific Method: From Theory to Conclusion
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Cite This Source
Source: Boundless. “Exponential Population Growth.” Boundless Biology. Boundless, 21 Jul. 2015. Retrieved 28 Aug. 2015 from https://www.boundless.com/biology/textbooks/boundlessbiologytextbook/populationandcommunityecology45/environmentallimitstopopulationgrowth251/exponentialpopulationgrowth92912185/