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| A '''population model''' is a type of [[mathematical model]] that is applied to the study of [[population dynamics]].
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| [[Mathematical model|Model]]s allow a better understanding of how complex interactions and processes work. Modeling of dynamic interactions in nature can provide a manageable way of understanding how numbers change over time or in relation to each other. [[Ecological]] population modeling is concerned with the changes in population size and age distribution within a population as a consequence of interactions of organisms with the physical environment, with individuals of their own species, and with organisms of other species.<ref name="Uyenoyama">{{cite book|last = Uyenoyama|first = Marcy|title = The Evolution of Population Biology|coauthors = Rama Singh, Ed.|publisher = Cambridge University Press|year = 2004|pages = 1–19}}</ref> The world is full of interactions that range from simple to dynamic. Many, if not all, of Earth’s processes affect human life. The Earth’s processes are greatly [[stochastic]] and seem chaotic to the naked eye. However, a plethora of patterns can be noticed and are brought forth by using population modeling as a tool.<ref name="Worster">{{cite book|last = Worster|first = Donald|title = Nature's Economy|publisher = Cambridge University Press|year = 1994|pages = 398–401}}</ref> Population models are used to determine maximum harvest for agriculturists, to understand the dynamics of biological invasions, and have numerous environmental conservation implications. Population models are also used to understand the spread of parasites, viruses, and disease. The realization of our dependence on environmental health has created a need to understand the dynamic interactions of the earth’s [[flora]] and [[fauna]]. Methods in population modeling have greatly improved our understanding of ecology and the natural world.<ref name="Uyenoyama"/> | |
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| == History ==
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| Late 18th-century biologists began to develop techniques in population modeling in order to understand dynamics of growing and shrinking ball populations of living organisms. [[Thomas Malthus]] was one of the first to note that populations grew with a geometric pattern while contemplating the fate of humankind.<ref name = "McIntosh">{{cite book|last = McIntosh|first = Robert|title = The Background of Ecology|publisher = Cambridge University Press|year = 1985|pages = 171–198}}</ref> One of the most basic and milestone models of population growth was the [[logistic model of population growth]] formulated by [[Pierre François Verhulst]] in 1838. The logistic model takes the shape of a [[sigmoid curve]] and describes the growth of a population as exponential, followed by a decrease in growth, and bound by a carrying capacity due to environmental pressures.<ref>{{cite book|last = Renshaw|first = Eric|title = Modeling Biological Populations in Space and Time|publisher = Cambridge University Press|year = 1991|pages = 6–9}}</ref>
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| Population modeling became of particular interest to biologists in the 20th century as pressure on limited means of sustenance due to increasing human populations in parts of Europe were noticed by biologist like [[Raymond Pearl]]. In 1921 Pearl invited physicist [[Alfred J. Lotka]] to assist him in his lab. Lotka developed paired [[differential equation]]s that showed the effect of a parasite on its prey. Mathematician [[Vito Volterra]] equated the relationship between two species independent from Lotka. Together, Lotka and Volterra formed the [[Lotka–Volterra equation|Lotka–Volterra model]] for competition that applies the logistic equation to two species illustrating competition, predation, and parasitism interactions between species.<ref name="McIntosh"/> In 1939 contributions to population modeling were given by Patrick Leslie as he began work in biomathematics. Leslie emphasized the importance of constructing a life table in order to understand the effect that key life history strategies played in the dynamics of whole populations. Matrix algebra was used by Leslie in conjunction with life tables to extend the work of Lotka.<ref>{{cite book|last = Kingsland|first = Sharon|title = Modeling Nature: Episodes in the History of Population Ecology|publisher = University of Chicago Press|year = 1995|pages = 127–146}}</ref> [[Matrix models]] of populations calculate the growth of a population with life history variables. Later, Robert MacArthur and Edward Wilson characterized island biogeography. The [[Ecology#Biogeography)|equilibrium model of island biogeography]] describes the number of species on an island as an equilibrium of immigration and extinction. The logistic population model, the Lotka–Volterra model of community ecology, life table matrix modeling, the equilibrium model of island biogeography and variations thereof are the basis for ecological population modeling today.<ref>{{cite book|last = Gotelli|first = Nicholas|title = A Primer of Ecology|publisher = Sinauer|year = 2001}}</ref>
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| == Equations ==
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| [[Logistic growth]] equation:
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| : <math>\frac{dN}{dt} = rN\left(1-\frac{N}{K}\right)\,</math>
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| [[Lotka-Volterra equation]]:
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| : <math>\frac{dN_1}{dt} = r_1 N_1\frac{K_1-N_1 - \alpha N_2}{K_1}\,</math>
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| [[Island biogeography]]:
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| : <math>S = \frac{IP}{I+E}</math>
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| Species area:
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| : <math>\log(S) = \log(c)+z \log(A)\,</math>
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| == See also ==
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| * [[Population dynamics]]
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| * [[Population dynamics of fisheries]]
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| * [[Population ecology]]
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| * [[Nurgaliev's law]]
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| * [[Moment closure]]
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| == References ==
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| {{reflist}}
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| ==External links==
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| * [http://iugo-cafe.org/greenboxes GreenBoxes code sharing network]. Greenboxes (Beta) is a repository for open-source population modeling code. Greenboxes allows users an easy way to share their code and to search for others shared code.
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| {{Computer modeling}}
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| {{DEFAULTSORT:Population Modeling}}
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| [[Category:Specific models]]
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| [[Category:Demography]]
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| [[Category:Population]]
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| [[Category:Population models]]
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| [[Category:Statistical models]]
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