Using wavelength and slope to infer the historical origin of semiarid vegetation bands

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)
119 Downloads (Pure)

Abstract

Landscape-scale patterns of vegetation occur worldwide at interfaces between semiarid and arid climates. They are important as potential indicators of climate change and imminent regime shifts and are widely thought to arise from positive feedback between vegetation and infiltration of rainwater. On gentle slopes the typical pattern form is bands (stripes), oriented parallel to the contours, and their wavelength is probably the most accessible statistic for vegetation patterns. Recent field studies have found an inverse correlation between pattern wavelength and slope, in apparent contradiction with the predictions of mathematical models. Here I show that this "contradiction" is based on a flawed approach to calculating the wavelength in models. When pattern generation is considered in detail, the theory is fully consistent with empirical results. For realistic parameters, degradation of uniform vegetation generates patterns whose wavelength increases with slope, whereas colonization of bare ground gives the opposite trend. Therefore, the empirical finding of an inverse relationship can be used, in conjunction with climate records, to infer the historical origin of the patterns. Specifically, for the African Sahel my results suggest that banded vegetation originated by the colonization of bare ground during circa 1760-1790 or since circa 1850.

Original languageEnglish
Pages (from-to)4202-4207
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume112
Issue number14
Early online date23 Mar 2015
DOIs
Publication statusPublished - 7 Apr 2015

Keywords

  • Banded
  • Mathematical modeling
  • Pattern

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Using wavelength and slope to infer the historical origin of semiarid vegetation bands'. Together they form a unique fingerprint.

Cite this