Preprints
https://doi.org/10.5194/cp-2024-61
https://doi.org/10.5194/cp-2024-61
18 Sep 2024
 | 18 Sep 2024
Status: this preprint is currently under review for the journal CP.

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

Mateo Duque-Villegas, Martin Claussen, Thomas Kleinen, Jürgen Bader, and Christian H. Reick

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.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Mateo Duque-Villegas, Martin Claussen, Thomas Kleinen, Jürgen Bader, and Christian H. Reick

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on cp-2024-61', Anonymous Referee #1, 07 Nov 2024
  • RC2: 'Comment on cp-2024-61', Shivangi Tiwari, 14 Nov 2024
Mateo Duque-Villegas, Martin Claussen, Thomas Kleinen, Jürgen Bader, and Christian H. Reick

Data sets

Post-processed data and scripts for "Pattern scaling of simulated vegetation change in North Africa during glacial cycles" Mateo Duque-Villegas https://doi.org/10.17617/3.HQTV1J

Mateo Duque-Villegas, Martin Claussen, Thomas Kleinen, Jürgen Bader, and Christian H. Reick

Viewed

Total article views: 366 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
187 46 133 366 7 6
  • HTML: 187
  • PDF: 46
  • XML: 133
  • Total: 366
  • BibTeX: 7
  • EndNote: 6
Views and downloads (calculated since 18 Sep 2024)
Cumulative views and downloads (calculated since 18 Sep 2024)

Viewed (geographical distribution)

Total article views: 358 (including HTML, PDF, and XML) Thereof 358 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
We simulate the last glacial cycle with a comprehensive Earth system model and investigate vegetation change in North Africa during the last four African humid periods (AHPs). We find a common AHP pattern of vegetation change and relate it to climatic factors to discuss how vegetation might have evolved in much older AHPs. The relationship we found for past AHPs does not hold for projected changes in North Africa under strong greenhouse gas warming.