Analysis of logistic growth models

被引:677
作者
Tsoularis, A
Wallace, J
机构
[1] Massey Univ, Inst Informat & Math Sci, Auckland, New Zealand
[2] Univ Cent Lancashire, Dept Math Phys & Astron, Preston PR1 2HE, Lancs, England
关键词
biological growth dynamics; logistic growth; generalized logistic growth; inflection point; incomplete beta function; beta function; gamma function; mimimax; saddle curve; finite difference method;
D O I
10.1016/S0025-5564(02)00096-2
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A variety of growth curves have been developed to model both unpredated, intraspecific population dynamics and more general biological growth. Most predictive models are shown to be based on variations of the classical Verhulst logistic growth equation. We review and compare several such models and analyse properties of interest for these. We also identify and detail several associated limitations and restrictions. A generalized form of the logistic growth curve is introduced which incorporates these models as special cases. Several properties of the generalized growth are also presented. We furthermore prove that the new growth form incorporates additional growth models which are markedly different from the logistic growth and its variants, at least in their mathematical representation. Finally, we give a brief outline of how the new curve could be used for curve-fitting. (C) 2002 Elsevier Science Inc. All rights reserved.
引用
收藏
页码:21 / 55
页数:35
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