Gamisch Alexander
Department of Biosciences University of Salzburg Salzburg Austria.
Glob Ecol Biogeogr. 2019 Nov;28(11):1552-1560. doi: 10.1111/geb.12979. Epub 2019 Jul 22.
In order to understand how species evolutionarily responded to Plio-Pleistocene climate oscillations (e.g. in terms of speciation, extinction, migration and adaptation), it is first important to have a good understanding of those past climate changes per se. This, however, is currently limited due to the lack of global-scale climatic datasets with high temporal resolution spanning the Plio-Pleistocene. To fill this gap, I here present Oscillayers, a global-scale and region-specific bioclim dataset, facilitating the study of climatic oscillations during the last 5.4 million years at high spatial (2.5 arc-minutes) and temporal (10 kyr time periods) resolution. This dataset builds upon interpolated anomalies (Δ layers) between bioclim layers of the present and the Last Glacial Maximum (LGM) that are scaled relative to the Plio-Pleistocene global mean temperature curve, derived from benthic stable oxygen isotope ratios, to generate bioclim variables for 539 time periods. Evaluation of the scaled, interpolated estimates of palaeo-climates generated for the Holocene, Last Interglacial and Pliocene showed good agreement with independent general circulation models (GCMs) for respective time periods in terms of pattern correlation and absolute differences. Oscillayers thus provides a new tool for studying spatial-temporal patterns of evolutionary and ecological processes at high temporal and spatial resolution.
Nineteen bioclim variables for time periods throughout the Plio-Pleistocene. Input data and R script to recreate all 19 bioclim variables.
Global at 2.5 arc-minutes (4.65 x 4.65 = 21.62 km at the equator).
The last 5.4 million years. The grain is 10 kyr (= 539 time periods).
Data are for terrestrial climates (excluding Antarctica) taking sea level changes into account.
All data are available as ASCII grid files.
为了了解物种如何在进化上应对上新世-更新世气候振荡(例如在物种形成、灭绝、迁移和适应方面),首先重要的是要很好地理解那些过去的气候变化本身。然而,由于缺乏跨越上新世-更新世的具有高时间分辨率的全球尺度气候数据集,目前这方面受到限制。为了填补这一空白,我在此展示了Oscillayers,这是一个全球尺度且特定区域的生物气候数据集,有助于在高空间分辨率(2.5 弧分)和时间分辨率(10 kyr时间段)下研究过去540万年的气候振荡。该数据集基于当前和末次盛冰期(LGM)生物气候层之间的插值异常(Δ层)构建,这些异常相对于从底栖稳定氧同位素比率得出的上新世-更新世全球平均温度曲线进行缩放,以生成539个时间段的生物气候变量。对全新世、末次间冰期和上新世生成的古气候缩放插值估计值的评估表明,在模式相关性和绝对差异方面,与各时间段的独立通用循环模型(GCM)具有良好的一致性。因此,Oscillayers为在高时间和空间分辨率下研究进化和生态过程的时空模式提供了一个新工具。
整个上新世-更新世时间段的19个生物气候变量。用于重新创建所有19个生物气候变量的输入数据和R脚本。
全球范围,2.5弧分(赤道处4.65×4.65 = 21.62 km)。
过去540万年。粒度为10 kyr(= 539个时间段)。
数据针对陆地气候(不包括南极洲),并考虑了海平面变化。
所有数据均以ASCII网格文件形式提供。