背景:为了了解物种如何在进化上响应上新世气候振荡(例如,在物种形成方面,灭绝,迁移和适应),首先重要的是对过去的气候变化本身有一个很好的了解。这个,然而,由于缺乏具有跨越上新世的高时间分辨率的全球尺度气候数据集,目前受到限制。为了填补这个空白,我在这里介绍示波层,全球规模和特定区域的生物语言数据集,促进以高空间(2.5弧分)和时间(10kyr时间段)分辨率研究过去540万年的气候振荡。该数据集基于当前生物层和最后冰川最大值(LGM)之间的插值异常(Δ层),这些异常相对于上新世全球平均温度曲线进行了缩放,来自底栖稳定氧同位素比率,生成539个时间段的bioclim变量。对缩放的评估,为全新世生成的古气候的插值估计,在模式相关性和绝对差异方面,末次间冰期和上新世与各自时间段的独立总循环模型(GCM)表现出良好的一致性。因此,振荡器提供了一种新的工具,用于以高时间和空间分辨率研究进化和生态过程的时空模式。
■整个上新世时期的十九个生物变量。输入数据和R脚本以重新创建所有19个bioclim变量。
■在2.5弧分时全局(赤道处4.65x4.65=21.62km2)。
■过去540万年。谷物为10kyr(=539个时间段)。
■数据是考虑到海平面变化的陆地气候(不包括南极洲)。
■所有数据都可以作为ASCII网格文件。
BACKGROUND: 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.
UNASSIGNED: Nineteen bioclim variables for time periods throughout the Plio-Pleistocene. Input data and R script to recreate all 19 bioclim variables.
UNASSIGNED: Global at 2.5 arc-minutes (4.65 x 4.65 = 21.62 km2 at the equator).
UNASSIGNED: The last 5.4 million years. The grain is 10 kyr (= 539 time periods).
UNASSIGNED: Data are for terrestrial climates (excluding Antarctica) taking sea level changes into account.
UNASSIGNED: All data are available as ASCII grid files.