Simple population models

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

Abstract

This chapter introduces basic concepts in population modeling that will be applied throughout the book. It begins with the oldest example of a population model, the rabbit problem, which was described by Leonardo of Pisa (“Fibonacci”) and whose solution is the Fibonacci series. The chapter then explores what is known about simple models of populations (i.e. those with a single variable such as abundance or biomass). The two major classes are: (1) linear models of exponential (or geometric) growth and (2) models of logistic, density-dependent growth. It covers both discrete time and continuous time versions of each of these. These simple models are then used to illustrate several different population dynamic concepts: dynamic stability, linearizing nonlinear models, calculation of probabilities of extinction, and management of sustainable fisheries. Each of these concepts is discussed further in later chapters, with more complete models.
简单人口模型
本章介绍了将在全书中应用的人口建模的基本概念。它从最古老的种群模型的例子——兔子问题开始,这个问题是由比萨的列奥纳多(“斐波那契”)描述的,它的解决方案是斐波那契级数。然后,本章探讨了已知的简单种群模型(即那些具有单一变量的种群,如丰度或生物量)。两大类主要是:(1)指数(或几何)增长的线性模型和(2)逻辑模型,密度依赖增长。它涵盖了它们的离散时间和连续时间版本。然后用这些简单的模型来说明几个不同的种群动态概念:动态稳定性、线性化非线性模型、灭绝概率的计算和可持续渔业的管理。这些概念中的每一个都将在后面的章节中以更完整的模型进行进一步讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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