• Medientyp: E-Artikel
  • Titel: Dynamic Vegetation Simulations of the Mid‐Holocene Green Sahara
  • Beteiligte: Lu, Zhengyao; Miller, Paul A.; Zhang, Qiong; Zhang, Qiang; Wårlind, David; Nieradzik, Lars; Sjolte, Jesper; Smith, Benjamin
  • Erschienen: American Geophysical Union (AGU), 2018
  • Erschienen in: Geophysical Research Letters
  • Sprache: Englisch
  • DOI: 10.1029/2018gl079195
  • ISSN: 1944-8007; 0094-8276
  • Schlagwörter: General Earth and Planetary Sciences ; Geophysics
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>The “Green Sahara” is a period when North Africa was characterized by vegetation cover and wetlands. To qualitatively identify the orbital‐climatic causation of the Green Sahara regime, we performed dynamic vegetation model (LPJ‐GUESS) simulations, driven by climate forcings from coupled general circulation model (EC‐Earth) simulations for the mid‐Holocene, in which the vegetation is prescribed to be either modern desert or artificially vegetated with a reduced dust load. LPJ‐GUESS simulates a vegetated Sahara covered by both herbaceous and woody vegetation types consistent with proxy reconstructions only in the latter scenario. Sensitivity experiments identify interactions required to capture the northward extension of vegetation. Increased precipitation is the main driver of the vegetation extent changes, and the temperature anomalies determine the plant functional types mainly through altered fire disturbance. Furthermore, the simulated vegetation composition also depends on the correct representation of soil texture in a humid environment like Green Sahara.</jats:p>
  • Zugangsstatus: Freier Zugang