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关于随机幂律逻辑斯蒂模型的种群大小累积量

On the cumulants of population size for the stochastic power law logistic model.

作者信息

Matis J H, Kiffe T R, Parthasarathy P R

机构信息

Department of Statistics, Texas A&M University, College Station, Texas 77843-3368, USA.

出版信息

Theor Popul Biol. 1998 Feb;53(1):16-29. doi: 10.1006/tpbi.1997.1337.

Abstract

The deterministic power law logistic model is used to describe density-dependent population growth in cases where the ordinary logistic model is insufficient. This paper investigates an analogous stochastic power law logistic model. The exact (unconditional) population size distributions and the cumulant functions for this stochastic model are intractable for large population sizes. Approximating cumulant functions are derived for populations of any size, and are illustrated with examples of assumed Africanized honey bee population dynamics. Outstanding among the findings is that the approximations for the cumulant functions are very accurate for these examples. The stochastic power law logistic model is very general and may be applied to describe the growth of many other natural populations.

摘要

确定性幂律逻辑斯蒂模型用于描述普通逻辑斯蒂模型不足以描述的密度依赖型种群增长情况。本文研究了一种类似的随机幂律逻辑斯蒂模型。对于较大种群规模,该随机模型的精确(无条件)种群规模分布和累积量函数难以处理。本文推导了任意规模种群的近似累积量函数,并以假定的非洲化蜜蜂种群动态为例进行说明。研究结果中突出的一点是,这些例子中累积量函数的近似值非常准确。随机幂律逻辑斯蒂模型非常通用,可用于描述许多其他自然种群的增长。

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