人口的驱动因素:过去的挑战和改变未来的希望

P. Quintana‐Ascencio, E. Menges, Geoffrey S. Cook, J. Ehrlén, Michelle E. Afkhami
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引用次数: 1

摘要

迫切需要了解人口和超人口如何对环境变化作出反应,以减轻人类活动和全球变化的后果。查明影响人口动态的环境变量/因素及其影响的性质是改进预测和预测的根本。本章探讨了环境驱动因素,包括连续的(压力)和偶然性的(干扰),如何被纳入多种生物和环境的人口模型中,使用观察和实验方法来表征驱动因素。它批判性地总结了主要方法的例子,并确定了主要的成就、挑战和局限性。本章指出了有希望的方法和可能的未来发展。在最初的部分中,考虑了没有种群间迁移的封闭系统中的模型。然后,本章着重于元种群模型,强调理解影响种群间迁移和差异灭绝的驱动因素的重要性。最后,本文讨论了与评估种群动态如何受到动态的、非线性的、间接的和/或与其他驱动因素相互作用的环境驱动因素影响有关的一些重要和一般的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drivers of demography: past challenges and a promise for a changed future
There is an urgent need to understand how populations and metapopulations respond to shifts in the environment to mitigate the consequences of human actions and global change. Identifying environmental variables/factors affecting population dynamics and the nature of their impacts is fundamental to improve projections and predictions. This chapter examines how environmental drivers, both continuous (stress) and episodic (disturbance), are incorporated in demographic modelling across many types of organisms and environments, using both observational and experimental approaches to characterise drivers. It critically summarises examples of the main approaches and identifies major accomplishments, challenges, and limitations. The chapter points to promising approaches and possible future developments. In the initial sections, models in closed systems without migration among populations are considered. The chapter then focuses on metapopulation models, emphasising the importance of understanding drivers affecting migration and differential extinction among populations. Finally, it concludes with a discussion of some important and general problems associated with assessing how population dynamics may be affected by environmental drivers that are dynamic, nonlinear, and with indirect and/or interacting effects with other drivers..
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