Impact of climate change on vegetation patterns in Altay Prefecture, China

Author:

Li Li1,Pang Yi-Zhi2,Sun Gui-Quan23,Ruan Shigui4

Affiliation:

1. School of Computer and Information Technology , Shanxi University, Taiyuan 030006, Shanxi, China

2. Complex Systems Research Center , Shanxi University, Taiyuan 030006, Shanxi, China

3. Department of Mathematics , North University of China, Taiyuan 030051, Shanxi, China

4. Department of Mathematics , University of Miami, Coral Gables, FL 33146, USA

Abstract

Abstract Altay Prefecture, a typical arid region in northwestern China, has experienced the climate transition from warming-drying to warming-wetting since 1980s and has attracted widespread attention. Nonetheless, it is still unclear how climate change has influenced the distribution of vegetation in this region. In this paper, a reaction–diffusion model of the climate–vegetation system is proposed to study the impact of climate change (precipitation, temperature and carbon dioxide concentration) on vegetation patterns in Altay Prefecture. Our results indicate that the tendency of vegetation growth in Altay Prefecture improved gradually from 1985 to 2010. Under the current climate conditions, the increase of precipitation results in the change of vegetation pattern structures, and eventually vegetation coverage tends to be uniform. Moreover, we found that there exists an optimal temperature where the spot vegetation pattern structure remains stable. Furthermore, the increase in carbon dioxide concentration induces vegetation pattern transition. Based on four climate change scenarios of the Coupled Model Intercomparison Project Phase 6 (CMIP6), we used the power law range (PLR) to predict the optimal scenario for the sustainable development of the vegetation ecosystem in Altay Prefecture.

Publisher

Oxford University Press (OUP)

Reference90 articles.

1. The human-environment nexus and vegetation-rainfall sensitivity in tropical drylands;Abel;Nat. Sustain.,2021

2. The hot and the cold: unravelling the variable response of plant respiration to temperature;Atkin;Funct. Plant Biol.,2005

3. Plant spatial patterns identify alternative ecosystem multifunctionality states in global drylands;Berdugo;Nat. Ecol. Evol.,2017

4. Termite mounds can increase the robustness of dryland ecosystems to climatic change;Bonachela;Science,2015

5. Mathematical models of vegetation pattern formation in ecohydrology;Borgogno;Rev. Geophys.,2009

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