4.7 Article

Effects of feedback regulation on vegetation patterns in semi-arid environments

期刊

APPLIED MATHEMATICAL MODELLING
卷 61, 期 -, 页码 200-215

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2018.04.010

关键词

Water-biomass model; Soil-water diffusion feedback; Multiple scale analysis; Pattern transition; Ecosystem stability

资金

  1. National Natural Science Foundation of China [11671241, 11501338, 41530531, 11601292, 11601293]
  2. National Key Research and Development Program of China [2017YFC1502303]
  3. 131 Talents of Shanxi University
  4. Program for the Outstanding Innovative Teams (OIT) of Higher Learning Institutions of Shanxi, Natural Science Foundation of Shanxi Province [201601D021002]
  5. Tianyuan Youth Fund of Mathematics of China [11526129]
  6. Youth Science Fund of Shan'xi Province [2015021020]

向作者/读者索取更多资源

It is well known that vegetation patterns characterize the distribution of the vegetation and provide some signs for vegetation protection. The positive feedbacks regulation between the water and plant biomass play an important role in the vegetation patterns in semi-arid environments, yet its influence on vegetation patterns is far from being well understood. In order to reveal a mechanism of positive feedbacks on pattern formation, a water-biomass model in semi-arid environments with soil-water diffusion feedback is presented. Our results reveal that, as the soil-water diffusion intensity decreases, the pattern transitions: gap patterns -> stripe (labyrinth) patterns -> spot patterns emerge. More importantly, when the soil-water diffusion feedback intensity is smaller, the feedback will promote the growth of the vegetation; when the feedback intensity is much larger, the vegetation biomass will decrease and the feedback may induce the emergence of desertification. Additionally, the rainfall can also induce the pattern transition. As the rainfall capacity decreases, the vegetation disappears and becomes the bare soil state. Our findings highlight the relationship among feedback intensity, rainfall and pattern dynamics of the vegetation. (C) 2018 Elsevier Inc. All rights reserved.

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