Pattern scaling of simulated vegetation change in North Africa during glacial cycles

IF 3.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Climate of The Past Pub Date : 2024-09-18 DOI:10.5194/cp-2024-61
Mateo Duque-Villegas, Martin Claussen, Thomas Kleinen, Jürgen Bader, Christian H. Reick
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Abstract

Abstract. Over the last hundreds of millennia natural rhythms in Earth's astronomical motions triggered large-scale climate changes and led periodically to humid conditions in much of North Africa. Known as African humid periods (AHPs), such times sustained river networks, vegetation, wildlife and prehistoric settlements. Mechanisms, extent and timing of the changes still cannot be completely outlined. Although AHPs along glacial cycles are recognizable in long marine sediment records, the related land cover changes are difficult to reconstruct due to scarcity of proxy data over the continent. Moreover, most available information covers only the latest AHP during the Holocene. Here we use a comprehensive Earth system model to look at additional, much earlier, possible cases of AHPs. We simulate the full last glacial cycle, aiming to reproduce the last four AHPs as seen in available proxies. The simulated AHPs seem in broad agreement with geological records, especially in terms of timing and relative strength. We focus on the simulated vegetation coverage in North Africa and we detect a dominant change pattern that seems to scale linearly with known climate forcing variables. We use such scaling to approximate North African vegetation fractions over the last eight glacial cycles. Although the simple linear estimation is based on a single mode of vegetation variability (that explains about 70 % of the variance), it helps to discuss some broad-scale spatial features that had been only considered for the Holocene AHP. Extending the climate simulation several millennia into the future reveals that such pattern scaling breaks when greenhouse gases become a stronger climate change driver.
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冰川周期北非模拟植被变化的模式缩放
摘要在过去的数百年间,地球天文运动的自然节律引发了大规模的气候变化,并导致北非大部分地区周期性地出现潮湿条件。这种时期被称为非洲湿润期(AHPs),它使河网、植被、野生动物和史前定居点得以维持。这些变化的机制、范围和时间仍无法完全概括。虽然在漫长的海洋沉积物记录中可以看到冰川周期的 AHPs,但由于非洲大陆代用数据稀缺,很难重建相关的土地覆盖变化。此外,大多数可用信息仅涵盖全新世的最近一次 AHP。在这里,我们使用一个综合地球系统模型来研究更早、更可能发生的 AHPs。我们模拟了整个末次冰川周期,目的是再现现有近代资料所显示的最近四次 AHPs。模拟的 AHP 似乎与地质记录基本一致,尤其是在时间和相对强度方面。我们重点研究了北非的模拟植被覆盖率,发现了一种主要的变化模式,似乎与已知的气候强迫变量成线性比例。我们利用这种比例来近似估算过去八个冰川周期中北非的植被比例。虽然简单的线性估计是基于植被变化的单一模式(解释了约 70% 的方差),但它有助于讨论一些大尺度空间特征,而这些特征只在全新世 AHP 中被考虑过。将气候模拟扩展到几千年后的未来会发现,当温室气体成为更强的气候变化驱动力时,这种模式比例会被打破。
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来源期刊
Climate of The Past
Climate of The Past 地学-气象与大气科学
CiteScore
7.40
自引率
14.00%
发文量
120
审稿时长
4-8 weeks
期刊介绍: Climate of the Past (CP) is a not-for-profit international scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on the climate history of the Earth. CP covers all temporal scales of climate change and variability, from geological time through to multidecadal studies of the last century. Studies focusing mainly on present and future climate are not within scope. The main subject areas are the following: reconstructions of past climate based on instrumental and historical data as well as proxy data from marine and terrestrial (including ice) archives; development and validation of new proxies, improvements of the precision and accuracy of proxy data; theoretical and empirical studies of processes in and feedback mechanisms between all climate system components in relation to past climate change on all space scales and timescales; simulation of past climate and model-based interpretation of palaeoclimate data for a better understanding of present and future climate variability and climate change.
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