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A new statistical dynamic analysis on vegetation patterns in land ecosystems

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  • Feng, Qing Yi
  • Chai, Li He

Abstract

As complex self-adaptive systems, land ecosystems usually tend to produce intricate vegetation patterns under specific environmental constraints, which have ever puzzled us for decades. In this paper, a universal principle on pattern formation of land ecosystems is highlighted as: a land ecosystem always tries to find an optimal process to acquire maximized flux under a certain constraint or price. The underlying microscopic dynamic mechanism that induces complex vegetation patterns in land ecosystems is then revealed. Based on the Holdridge life zone system, evolutionary dynamic processes and structural classifications of several typical vegetation patterns are then simulated and discussed. Good agreements between theoretical analyses and numerical results are found. This paper demonstrates that the new theoretical analyses and simulation technique can be possibly applied to the whole land ecosystem, not only benefiting academic study on the formation and dynamics of vegetation patterns, but also providing implications for vegetation classification, vegetation protection and soil erosion control.

Suggested Citation

  • Feng, Qing Yi & Chai, Li He, 2008. "A new statistical dynamic analysis on vegetation patterns in land ecosystems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3583-3593.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:14:p:3583-3593
    DOI: 10.1016/j.physa.2008.01.118
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    References listed on IDEAS

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    1. Ann E. Krause & Kenneth A. Frank & Doran M. Mason & Robert E. Ulanowicz & William W. Taylor, 2003. "Compartments revealed in food-web structure," Nature, Nature, vol. 426(6964), pages 282-285, November.
    2. Chen, Li Ming & Chai, Li He, 2006. "A theoretical analysis on self-organized formation of microbial biofilms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(2), pages 793-807.
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    Citations

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    1. Fan, Ze-Meng & Li, Jing & Yue, Tian-Xiang, 2013. "Land-cover changes of biome transition zones in Loess Plateau of China," Ecological Modelling, Elsevier, vol. 252(C), pages 129-140.
    2. Zhao, Jingjing & Wang, Mengyang, 2018. "A novel assessment of urbanization quality and its applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 141-154.
    3. Du, Huibin & Xia, Qiongqiong & Ma, Xuan & Chai, Lihe, 2014. "A new statistical dynamic analysis of ecological niches for China’s financial centres," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 476-486.
    4. Chaofeng Liu & Jingyu Su & Xiangjun Zuo & Wei Wang, 2015. "Assessment of regional vulnerability to seismic hazards in the Beijing–Tianjin–Hebei metropolitan area, China," 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. 75(1), pages 831-848, January.
    5. Wu, Jingjing & Wu, Xinming & Li, Pengfei & Li, Nan & Mao, Xiaomei & Chai, Lihe, 2017. "An information entropy model on clinical assessment of patients based on the holographic field of meridian," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 219-232.
    6. Feng, Qing Yi & Griffiths, Frances & Parsons, Nick & Gunn, Jane, 2013. "An exploratory statistical approach to depression pattern identification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 889-901.

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