纵向人口统计数据收集

Marlène Gamelon, Josh A. Firth, M. Le Moullec, William K. Petry, R. Salguero‐Gómez
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引用次数: 0

摘要

几个长期的实地研究正在世界范围内对生命之树的许多分类群进行研究。这些纵向研究包括多次访问研究人群,重复观察/测量。人口统计数据可以在人口水平(例如,人口计数的时间序列)或在个人水平(例如,监测标记和/或地理参考的个人的一生)收集。然后用这些数据来估计人口统计参数,如年人口丰度、存活率、增长率和繁殖率。本章向读者介绍监测方法(包括最新技术),这些方法可以在种群和个体水平上收集流动物种(例如鸟类,哺乳动物)的具体人口统计数据,同时处理不完善的检测。它还介绍了可在两个层次收集的无根物种(例如珊瑚、植物)的程序和人口统计数据类型。最后,本章总结了新的方面,当前的偏见,以及未来长期实地研究的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Longitudinal demographic data collection
Several long-term field studies are running worldwide on many taxa across the Tree of Life. These longitudinal studies involve several visits to the study population with repeated observations/measurements. Demographic data can be collected at the population level (e.g. time series of population counts) or at the individual level (e.g. monitoring of marked and/or georeferenced individuals throughout their life). These data are then used to estimate demographic parameters such as annual population abundances, survival, growth, and reproductive rates. This chapter introduces the reader to monitoring methods (including recent technologies) that can be implemented in the field to collect specific demographic data on mobile species (e.g. birds, mammals) at both the population and individual levels, while dealing with imperfect detection. It also presents the procedures and the type of demographic data that can be collected on sessile species (e.g. corals, plants) at both levels. Finally, the chapter concludes with new aspects, current biases, and arising challenges for future long-term field studies.
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