Different Growth Models in Population Dynamics and its Exponential Regression

Mathematical models of population growth have been constructed to provide an abstract of some significant aspect of true ecological situation. In this paper, we put some models where the parameters of the biological growth model systematically change over time. Verhust (1838) first proposed three-parameter model for the growth of single-species populations [1,5,9] that shows a logistic sigmoid growth curve for time. Pearl and reed (1920) independently published the same model, which includes mathematically an upper asymptote and a rate constant. The former and latter have been interpreted biologically as the carrying capacity of the environment and the intrinsic rate of natural increase in the population, respectively. Here we have discussed about some important growth models viz. Beverton-Holt Model, May model, Ricker Model, Birth-Death Model, Exponential Growth Model, Richard growth function, Gompertz growth function and Von Bertalanffy’s growth function.