climateStability: An R package to estimate climate stability from time-slice climatologies

H. Owens, R. Guralnick
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引用次数: 16

Abstract

As continental and global-scale paleoclimate model data become more readily available, biologists can now ask spatially explicit questions about the tempo and mode of past climate change and the impact of those changes on biodiversity patterns. In particular, researchers have focused on climate stability as a key variable that can drive expected patterns of richness, phylogenetic diversity and functional diversity. Yet, climate stability measures are not formalized in the literature and tools for generating stability metrics from existing data are nascent. Here we define “deviation” of a climate variable as the mean standard deviation between time slices over time elapsed; “stability” is defined as the inverse of this deviation. Finally, climate stability is the product of individual climate variable stability estimates. We also present an R package, climateStability, which contains tools for researchers to generate climate stability estimates from their own data.
气候稳定性:一个从时间片气候学估计气候稳定性的R包
随着大陆和全球尺度的古气候模型数据变得越来越容易获得,生物学家现在可以提出关于过去气候变化的速度和模式以及这些变化对生物多样性模式的影响的空间明确问题。特别是,研究人员将气候稳定性作为一个关键变量,可以驱动丰富度、系统发育多样性和功能多样性的预期模式。然而,气候稳定性措施在文献中尚未形式化,从现有数据生成稳定性指标的工具尚处于萌芽阶段。在这里,我们将气候变量的“偏差”定义为时间片之间随时间推移的平均标准偏差;“稳定性”定义为该偏差的倒数。最后,气候稳定性是单个气候变量稳定性估计的产物。我们还提供了一个R软件包,climateStability,其中包含研究人员从自己的数据生成气候稳定性估计的工具。
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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