Population Dynamics for Conservation
Population Dynamics for Conservation
复制标题
保护种群动态
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
A. Hastings
中科院分区：
文献类型：
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作者：
L. Botsford;J. Wilson White;A. Hastings
这本书定量阐述了我们目前对植物和动物种群动态的了解，目标是让读者能够理解并参与野外种群的管理。这本书使用数学模型来建立人口行为的基本原则。它从人口数学模型的哲学方法开始。然后，它从一个单一变量的模型描述，丰富，模型描述在每个年龄的个体丰度的变化，然后类似的模型，描述人口的丰富方面的大小，生命阶段，和空间。这本书假设了基本微积分的知识，但解释了更先进的数学概念，如偏导数，矩阵和随机信号，因为它利用它们。这本书解释了重要的人口过程的基本原则的基础，如机制，使人口持续存在，而不是灭绝，人口对可变环境的反应方式，以及人口周期的起源。接下来的两章集中在应用人口动态的原则来管理预防灭绝，以及渔业的可持续管理，高产量。最后一章概括了在不同密度依赖和替代水平（每个个体的潜在终生繁殖）的情况下，不同的种群行为是如何产生的，以及在物种生活史设定的不同时间尺度下，变异性是如何产生的。
This book is a quantitative exposition of our current understanding of the dynamics of plant and animal populations, with the goal that readers will be able to understand, and participate in the management of populations in the wild. The book uses mathematical models to establish the basic principles of population behaviour. It begins with a philosophical approach to mathematical models of populations. It then progresses from a description of models with a single variable, abundance, to models that describe changes in the abundance of individuals at each age, then similar models that describe populations in terms of the abundance over size, life stage, and space. The book assumes a knowledge of basic calculus, but explains more advanced mathematical concepts such as partial derivatives, matrices, and random signals, as it makes use of them. The book explains the basis of the principles underlying important population processes, such as the mechanism that allow populations to persist, rather than go extinct, the way in which populations respond to variable environments, and the origin of population cycles.The next two chapters focus on application of the principles of population dynamics to manage for the prevention of extinction, as well as the management of fisheries for sustainable, high yields. The final chapter recapitulates how different population behaviors arise in situations with different levels of density dependence and replacement (the potential lifetime reproduction per individual), and how variability arises at different time scales set by a species’ life history.