Size-structured模型

L. Botsford, J. White, A. Hastings
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引用次数: 0

摘要

本章首先回顾M’kendrick /von Foerster模型,但使用大小而不是年龄作为状态变量。然后,它利用该模型的经验来描述个体生长和死亡率如何决定种群分布(混合年龄的种群)和队列分布(都是一个年龄)。特别是,在增长轨迹中纳入可变性对于获得现实结果非常重要,尽管它并非没有陷阱。最终,为未来预测建立规模结构人口模型所需的数值计算比年龄结构所需的数值计算更具挑战性,因此本章最后讨论了为实现这一目标而开发的一些数学工具。其中包括积分投影模型,这是一种非常有用的新方法,因为虽然更复杂,但它与第三章和第四章中研究的年龄结构模型有很多共同之处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Size-structured models
This chapter begins by revisiting the M’Kendrick/von Foerster model, but using size instead of age as the state variable. It then uses the lessons from that model to describe how individual growth and mortality rates determine both stand distributions (a population of mixed ages) and cohort distributions (all one age). In particular, incorporating variability in growth trajectories is shown to be important in obtaining realistic results—though it is not without pitfalls. Ultimately, the numerical calculations required to model size-structured populations for future projections are more challenging than those needed for age structure, so the chapter closes by discussing some mathematical tools that have been developed to accomplish this. These include the integral projection model, a recent approach that is very useful because, while more complex, it has a lot in common with the age-structured models examined in Chapters 3 and 4.
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