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Effects of global warming on pattern dynamics of vegetation: Wuwei in China as a case

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  • Chen, Zheng
  • Wu, Yong-Ping
  • Feng, Guo-Lin
  • Qian, Zhong-Hua
  • Sun, Gui-Quan

Abstract

Climate change has a great influence on the behavior of vegetation system in arid and semi-arid regions, yet the mechanisms are far from being well understood, especially on the pattern dynamics of vegetation. As a result, we pose a mathematical model in the form of reaction-diffusion equations to reveal the effects of global warming on the vegetation patterns. Based on mathematical analysis and numerical simulations, we obtain the typical distributions of vegetation which is consistent with the results in Wuwei, China. It was found that, if the temperature increases 1.5 or more degrees, then the isolation of the vegetation pattern increases and thus desertification may emerge. Meanwhile, we show that the vegetation biomass will increase as precipitation increases, but slow down with increased temperature. We also show the desertification degree as a function of precipitation. Our results may suggest that temperature and precipitation are key factors of climatic factors for vegetation formation.

Suggested Citation

  • Chen, Zheng & Wu, Yong-Ping & Feng, Guo-Lin & Qian, Zhong-Hua & Sun, Gui-Quan, 2021. "Effects of global warming on pattern dynamics of vegetation: Wuwei in China as a case," Applied Mathematics and Computation, Elsevier, vol. 390(C).
    • Handle: RePEc:eee:apmaco:v:390:y:2021:i:c:s0096300320306196
    DOI: 10.1016/j.amc.2020.125666
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    References listed on IDEAS

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    1. Kefi, Sonia & Rietkerk, Max & Katul, Gabriel G., 2008. "Vegetation pattern shift as a result of rising atmospheric CO2 in arid ecosystems," Theoretical Population Biology, Elsevier, vol. 74(4), pages 332-344.
    2. Aiguo Dai, 2011. "Drought under global warming: a review," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(1), pages 45-65, January.
    3. Zhan, Xiu-Xiu & Liu, Chuang & Zhou, Ge & Zhang, Zi-Ke & Sun, Gui-Quan & Zhu, Jonathan J.H. & Jin, Zhen, 2018. "Coupling dynamics of epidemic spreading and information diffusion on complex networks," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 437-448.
    4. Stanley D. Smith & Travis E. Huxman & Stephen F. Zitzer & Therese N. Charlet & David C. Housman & James S. Coleman & Lynn K. Fenstermaker & Jeffrey R. Seemann & Robert S. Nowak, 2000. "Elevated CO2 increases productivity and invasive species success in an arid ecosystem," Nature, Nature, vol. 408(6808), pages 79-82, November.
    5. Guo, Zun-Guang & Sun, Gui-Quan & Wang, Zhen & Jin, Zhen & Li, Li & Li, Can, 2020. "Spatial dynamics of an epidemic model with nonlocal infection," Applied Mathematics and Computation, Elsevier, vol. 377(C).
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    Cited by:

    1. Zhou, Baoquan & Jiang, Daqing & Han, Bingtao & Hayat, Tasawar, 2022. "Threshold dynamics and density function of a stochastic epidemic model with media coverage and mean-reverting Ornstein–Uhlenbeck process," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 196(C), pages 15-44.
    2. Han, Bingtao & Jiang, Daqing, 2023. "Coexistence and extinction for a stochastic vegetation-water model motivated by Black–Karasinski process," Chaos, Solitons & Fractals, Elsevier, vol. 175(P2).
    3. Chen, Zheng & Liu, Jieyu & Li, Li & Wu, Yongping & Feng, Guolin & Qian, Zhonghua & Sun, Gui-Quan, 2022. "Effects of climate change on vegetation patterns in Hulun Buir Grassland," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).

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