IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v175y2023ip2s0960077923009268.html
   My bibliography  Save this article

The effect of grazing intensity on pattern dynamics of the vegetation system

Author

Listed:
  • Li, Jing
  • Sun, Gui-Quan
  • Li, Li
  • Jin, Zhen
  • Yuan, Yuan

Abstract

The evolution of vegetation system in arid and semi-arid grazing areas is a complex dynamical system which depends not only on the rainfall, but also grazing intensity. Currently, most of the research focuses on the influence of rainfall, but the effects of grazing have not been fully understood. Simultaneously, the intraspecific competition delay widely exists in vegetation system. In this project, we develop a vegetation model coupled with the intraspecific competition delay, discuss the vegetation pattern caused by the combination of grazing intensity, rainfall and competition delay, by analyzing conditions of the occurrence of Turing instability. In particular, we propose a new theoretical method to deal with the Turing instability of delayed diffusion system when the system exists a zero eigenvalue and the corresponding transversity condition is not zero. Using the theory of dynamics, we can show: (i) a bistable region in which vegetation-existence and vegetation-extinction states coexist for relatively large grazing rate, in the corresponding ordinary differential system, while the vegetation-existence state is replaced by vegetation pattern state for non-delayed diffusion system, and the range of bistable region is extended as the increase of rainfall; (ii) spatial distribution structure and spatially mean density of vegetation patterns reveal that degradation of the vegetation becomes more and more obvious with the increase of grazing intensity; (iii) the bistable region corresponding to the delayed diffusion system is narrowed, and vegetation system undergoes regime shift from the pattern state to bare-soil state before reaching the threshold of grazing rate. Overall, this study yields a new theoretical perspective for pattern dynamics of delayed reaction–diffusion equation, and provides valuable insights into the study of vegetation system in grazing ecosystem.

Suggested Citation

  • Li, Jing & Sun, Gui-Quan & Li, Li & Jin, Zhen & Yuan, Yuan, 2023. "The effect of grazing intensity on pattern dynamics of the vegetation system," Chaos, Solitons & Fractals, Elsevier, vol. 175(P2).
  • Handle: RePEc:eee:chsofr:v:175:y:2023:i:p2:s0960077923009268
    DOI: 10.1016/j.chaos.2023.114025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077923009268
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2023.114025?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. Xue, Qiang & Liu, Chen & Li, Li & Sun, Gui-Quan & Wang, Zhen, 2021. "Interactions of diffusion and nonlocal delay give rise to vegetation patterns in semi-arid environments," Applied Mathematics and Computation, Elsevier, vol. 399(C).
    2. Sonia Kéfi & Max Rietkerk & Concepción L. Alados & Yolanda Pueyo & Vasilios P. Papanastasis & Ahmed ElAich & Peter C. de Ruiter, 2007. "Spatial vegetation patterns and imminent desertification in Mediterranean arid ecosystems," Nature, Nature, vol. 449(7159), pages 213-217, September.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Ferreira, A.S. & Raposo, E.P. & Viswanathan, G.M. & da Luz, M.G.E., 2012. "The influence of the environment on Lévy random search efficiency: Fractality and memory effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3234-3246.
    3. Marina E Wosniack & Marcos C Santos & Ernesto P Raposo & Gandhi M Viswanathan & Marcos G E da Luz, 2017. "The evolutionary origins of Lévy walk foraging," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-31, October.
    4. van den Berg, J. & Björnberg, J.E. & Heydenreich, M., 2015. "Sharpness versus robustness of the percolation transition in 2d contact processes," Stochastic Processes and their Applications, Elsevier, vol. 125(2), pages 513-537.
    5. Salvati, Luca & Carlucci, Margherita, 2015. "Towards sustainability in agro-forest systems? Grazing intensity, soil degradation and the socioeconomic profile of rural communities in Italy," Ecological Economics, Elsevier, vol. 112(C), pages 1-13.
    6. Fabio Recanatesi & Matteo Clemente & Efstathios Grigoriadis & Flavia Ranalli & Marco Zitti & Luca Salvati, 2015. "A Fifty-Year Sustainability Assessment of Italian Agro-Forest Districts," Sustainability, MDPI, vol. 8(1), pages 1-13, December.
    7. Martinez-Garcia, Ricardo & Cabal, Ciro & Calabrese, Justin M. & Hernández-García, Emilio & Tarnita, Corina E. & López, Cristóbal & Bonachela, Juan A., 2023. "Integrating theory and experiments to link local mechanisms and ecosystem-level consequences of vegetation patterns in drylands," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    8. Convertino, M., 2011. "Neutral metacommunity clustering and SAR: River basin vs. 2-D landscape biodiversity patterns," Ecological Modelling, Elsevier, vol. 222(11), pages 1863-1879.
    9. Baeza, Andres, 2018. "Modelling the critical transition from Chilean evergreen forest to savanna: Early warning signals and livestock management," Ecological Modelling, Elsevier, vol. 388(C), pages 115-123.
    10. Jerome R. Mayaud & Nicholas P. Webb, 2017. "Vegetation in Drylands: Effects on Wind Flow and Aeolian Sediment Transport," Land, MDPI, vol. 6(3), pages 1-24, September.
    11. Nauta, Johannes & Simoens, Pieter & Khaluf, Yara, 2022. "Group size and resource fractality drive multimodal search strategies: A quantitative analysis on group foraging," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 590(C).
    12. Meron, Ehud, 2012. "Pattern-formation approach to modelling spatially extended ecosystems," Ecological Modelling, Elsevier, vol. 234(C), pages 70-82.
    13. Liu, Chen & Wang, Fang-Guang & Xue, Qiang & Li, Li & Wang, Zhen, 2022. "Pattern formation of a spatial vegetation system with root hydrotropism," Applied Mathematics and Computation, Elsevier, vol. 420(C).
    14. Pliscoff, Patricio & Luebert, Federico & Hilger, Hartmut H. & Guisan, Antoine, 2014. "Effects of alternative sets of climatic predictors on species distribution models and associated estimates of extinction risk: A test with plants in an arid environment," Ecological Modelling, Elsevier, vol. 288(C), pages 166-177.
    15. Tekwa, Edward W. & Gonzalez, Andrew & Loreau, Michel, 2019. "Spatial evolutionary dynamics produce a negative cooperation–population size relationship," Theoretical Population Biology, Elsevier, vol. 125(C), pages 94-101.
    16. Diaf Imene & Pierre Pech & Touati Bouzid, 2019. "What strategies make compatible the stakes of nature conservation and the stakes of economic growth in protected area? Example of El Kala National Park, Algeria," Post-Print halshs-02188250, HAL.
    17. Rares Halbac-Cotoara-Zamfir & Gloria Polinesi & Francesco Chelli & Luca Salvati & Leonardo Bianchini & Alvaro Marucci & Andrea Colantoni, 2022. "Found in Complexity, Lost in Fragmentation: Putting Soil Degradation in a Landscape Ecology Perspective," IJERPH, MDPI, vol. 19(5), pages 1-16, February.
    18. Narcisa G. Pricope & Andrea E. Gaughan & John D. All & Michael W. Binford & Lucas P. Rutina, 2015. "Spatio-Temporal Analysis of Vegetation Dynamics in Relation to Shifting Inundation and Fire Regimes: Disentangling Environmental Variability from Land Management Decisions in a Southern African Transb," Land, MDPI, vol. 4(3), pages 1-29, July.
    19. Berenguer, J. Segarra, 2013. "A simple bistable model for reforestation in semi-arid zones, or how to turn a wasteland into a forest," Ecological Modelling, Elsevier, vol. 266(C), pages 58-67.
    20. Kang Zhang & Wen-Si Hu & Quan-Xing Liu, 2020. "Quantitatively Inferring Three Mechanisms from the Spatiotemporal Patterns," Mathematics, MDPI, vol. 8(1), pages 1-13, 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:chsofr:v:175:y:2023:i:p2:s0960077923009268. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.