Population model

Source: Wikipedia, the free encyclopedia.

A population model is a type of mathematical model that is applied to the study of population dynamics.

Rationale

Models 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. Many patterns can be noticed by using population modeling as a tool.[1]

age distribution within a population. This might be due to interactions with the environment, individuals of their own species, or other species.[2]

Population models are used to determine maximum harvest for agriculturists, to understand the dynamics of

Another way populations models are useful are when species become endangered. Population models can track the fragile species and work and curb the decline. [1]

History

Late 18th-century biologists began to develop techniques in population modeling in order to understand the dynamics of growing and shrinking of all populations of living organisms.

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.[4]

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

Robert MacArthur and E. O. Wilson characterized island biogeography. The 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.[6]

Equations

Logistic growth
equation:

Competitive Lotka–Volterra equations:

Island biogeography
:

Species–area relationship:

Examples of individual-based models

cellular automata
model of an ecosystem with one species. The model demonstrates a mechanism of S-shaped population growth.
Logical deterministic individual-based cellular automata model of interspecific competition for a single limited resource. A mechanism of competitive exclusion of one species by another.

See also

References

  1. ^ Worster, Donald (1994). Nature's Economy. Cambridge University Press. pp. 398–401.
  2. ^ a b Uyenoyama, Marcy (2004). Rama Singh (ed.). The Evolution of Population Biology. Cambridge University Press. pp. 1–19.
  3. ^ a b McIntosh, Robert (1985). The Background of Ecology. Cambridge University Press. pp. 171–198.
  4. ^ Renshaw, Eric (1991). Modeling Biological Populations in Space and Time. Cambridge University Press. pp. 6–9.
  5. ^ Kingsland, Sharon (1995). Modeling Nature: Episodes in the History of Population Ecology. University of Chicago Press. pp. 127–146.
  6. ^ Gotelli, Nicholas (2001). A Primer of Ecology. Sinauer.

External links

  • 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.