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Elementary models for population growth and distribution analysis
Author(s) -
John C. Hudson
Publication year - 1970
Publication title -
demography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.099
H-Index - 129
eISSN - 1533-7790
pISSN - 0070-3370
DOI - 10.2307/2060155
Subject(s) - population growth , population , net migration rate , metropolitan area , logistic function , distribution (mathematics) , stability (learning theory) , natural population growth , geography , econometrics , economics , demography , mathematics , statistics , computer science , sociology , mathematical analysis , archaeology , machine learning
A version of the Lotka-Volterra interaction model is adapted to describe population growth and migration processes in a two-region system. The regions are identified as a metropolis and its non-metropolitan hinterland. Several conditions on growth and migration regimes are imposed. The time behavior of the systems are analyzed, noting especially situations where total depopulation or population explosion eventually occur in one or both populations. Neither growth control nor migration control alone results in a condition of long-run stability in both regions. If at least a momentary condition of zero growth is achieved in both regions, it is possible to maintain finite populations if each population follows a logistic natural growth process and migration flow is proportional to the volume of interaction. It is necessary also that the natural increase limitation is strong relative to migration rates. This result holds even if one population has a net migration advantage over the other.

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