Xiaolong Gao

Mr. Xiaolong Gao

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 July 2024 in International Journal of Bifurcation and Chaos
Verified
Journal Article
Closed access
XGXiaolong Gao
Xiaolong Gao
ZLZhi Yuan Li
Zhi Yuan Li
YWYu Lan Wang
Yu Lan Wang

27 April 2024 in Fractal and Fractional
Verified
Journal Article
Open access
PDF file
XGXiaolong Gao
Xiaolong Gao
HZHao Lu Zhang
Hao Lu Zhang
YWYu Lan Wang
Yu Lan Wang
ZLZhi Yuan Li
Zhi Yuan Li
In order to stop and reverse land degradation and curb the loss of biodiversity, the United Nations 2030 Agenda for Sustainable Development proposes to combat desertification. In this paper, a fractional vegetation–water model in an arid flat environment is studied. The pattern behavior of the fractional model is much more complex than that of the integer order. We study the stability and Turing instability of the system, as well as the Hopf bifurcation of fractional order α, and obtain the Turing region in the parameter space. According to the amplitude equation, different types of stationary mode discoveries can be obtained, including point patterns and strip patterns. Finally, the results of the numerical simulation and theoretical analysis are consistent. We find some novel fractal patterns of the fractional vegetation–water model in an arid flat environment. When the diffusion coefficient, d, changes and other parameters remain unchanged, the pattern structure changes from stripes to spots. When the fractional order parameter, β, changes, and other parameters remain unchanged, the pattern structure becomes more stable and is not easy to destroy. The research results can provide new ideas for the prevention and control of desertification vegetation patterns.