IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v390y2021ics0096300320306196.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300320306196
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2020.125666?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aiguo Dai, 2011. "Drought under global warming: a review," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(1), pages 45-65, January.
    2. 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.
    3. 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.
    4. 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.
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M., Pitchaimani & M., Brasanna Devi, 2020. "Random effects in HIV infection model at Eclipse stage," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    2. Chen, Xiaolong & Gong, Kai & Wang, Ruijie & Cai, Shimin & Wang, Wei, 2020. "Effects of heterogeneous self-protection awareness on resource-epidemic coevolution dynamics," Applied Mathematics and Computation, Elsevier, vol. 385(C).
    3. Yin, Fulian & Jiang, Xinyi & Qian, Xiqing & Xia, Xinyu & Pan, Yanyan & Wu, Jianhong, 2022. "Modeling and quantifying the influence of rumor and counter-rumor on information propagation dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    4. Ashenafi Yimam Kassaye & Guangcheng Shao & Xiaojun Wang & Shiqing Wu, 2021. "Quantification of drought severity change in Ethiopia during 1952–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5096-5121, April.
    5. Getachew Tegegne & Assefa M. Melesse, 2020. "Multimodel Ensemble Projection of Hydro-climatic Extremes for Climate Change Impact Assessment on Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 3019-3035, July.
    6. Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Dynamic variation of meteorological drought and its relationships with agricultural drought across China," Agricultural Water Management, Elsevier, vol. 261(C).
    7. Don Driscoll & Adam Felton & Philip Gibbons & Annika Felton & Nicola Munro & David Lindenmayer, 2012. "Priorities in policy and management when existing biodiversity stressors interact with climate-change," Climatic Change, Springer, vol. 111(3), pages 533-557, April.
    8. Araneda-Cabrera, Ronnie J. & Bermúdez, María & Puertas, Jerónimo, 2021. "Assessment of the performance of drought indices for explaining crop yield variability at the national scale: Methodological framework and application to Mozambique," Agricultural Water Management, Elsevier, vol. 246(C).
    9. Corwin, D.L. & Scudiero, E. & Zaccaria, D., 2022. "Modified ECa – ECe protocols for mapping soil salinity under micro-irrigation," Agricultural Water Management, Elsevier, vol. 269(C).
    10. D. Chiru Naik & Sagar Rohidas Chavan & P. Sonali, 2023. "Incorporating the climate oscillations in the computation of meteorological drought over India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2617-2646, July.
    11. Susanna Grasso & Pierluigi Claps & Daniele Ganora & Andrea Libertino, 2021. "A Web‐based Open‐source Geoinformation Tool for Regional Water Resources Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 675-687, January.
    12. -, 2015. "La economía del cambio climático en América Latina y el Caribe: paradojas y desafíos del desarrollo sostenible," Libros y Documentos Institucionales, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37310 edited by Cepal.
    13. Chen, Jie & Hu, Mao-Bin & Li, Ming, 2020. "Traffic-driven epidemic spreading dynamics with heterogeneous infection rates," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    14. Nackley, Lloyd L. & Vogt, Kristiina A. & Kim, Soo-Hyung, 2014. "Arundo donax water use and photosynthetic responses to drought and elevated CO2," Agricultural Water Management, Elsevier, vol. 136(C), pages 13-22.
    15. Li, Wenyao & Cai, Meng & Zhong, Xiaoni & Liu, Yanbing & Lin, Tao & Wang, Wei, 2023. "Coevolution of epidemic and infodemic on higher-order networks," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    16. Masupha, Teboho E. & Moeletsi, Mokhele E., 2020. "The use of Water Requirement Satisfaction Index for assessing agricultural drought on rain-fed maize, in the Luvuvhu River catchment, South Africa," Agricultural Water Management, Elsevier, vol. 237(C).
    17. Yu, Xingjiao & Qian, Long & Wang, Wen’e & Hu, Xiaotao & Dong, Jianhua & Pi, Yingying & Fan, Kai, 2023. "Comprehensive evaluation of terrestrial evapotranspiration from different models under extreme condition over conterminous United States," Agricultural Water Management, Elsevier, vol. 289(C).
    18. Sara Tokhi Arab & Tofael Ahamed, 2023. "Near-real-time drought monitoring and assessment for vineyard production on a regional scale with standard precipitation and vegetation indices using Landsat and CHIRPS datasets," Asia-Pacific Journal of Regional Science, Springer, vol. 7(2), pages 591-614, June.
    19. Claesson, Jonas & Nycander, Jonas, 2013. "Combined effect of global warming and increased CO2-concentration on vegetation growth in water-limited conditions," Ecological Modelling, Elsevier, vol. 256(C), pages 23-30.
    20. Tonggang Fu & Hongzhu Liang & Hui Gao & Jintong Liu, 2021. "The Taihang Mountain Region of North China is Experiencing A Significant Warming Trend," Sustainability, MDPI, vol. 13(2), pages 1-18, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:390:y:2021:i:c:s0096300320306196. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.