Interspecific Competition of Plant Communities Based on Fractional Order Time Delay Lotka–Volterra Model

A novel time delay Lotka–Volterra (TDLV) model was developed by extending the concept of time delay from integer order to fractional order. The TDLV model was constructed to simulate the dynamics of aboveground biomass per individual of three dominant herbaceous plant species (Leymus chinensis, Agropyron cristatum, and Stipa grandis) in the typical grasslands of Inner Mongolia. Comparative analysis indicated that the TDLV model outperforms candidate models, such as Logistic, GM(1,1), GM(1,N), DGM(2,1), and Lotka–Volterra model, in terms of all fitting criteria. The results demonstrate that interspecies competition exhibits clear feedback and suppression effects, with Leymus chinensis playing a central role in regulating community dynamics. The system is locally stable and eventually converges to an equilibrium point, though Stipa grandis maintains relatively low biomass, requiring further monitoring. Time delays are prevalent in the system, influencing dynamic processes and causing damping oscillations as populations approach equilibrium.

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Publication Details

Journal
Fractal and Fractional
Published
2025-02-12
DOI
https://doi.org/10.3390/fractalfract9020109
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.76

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article

Interspecific Competition of Plant Communities Based on Fractional Order Time Delay Lotka–Volterra Model

Caiqin Zhang, Juhong Liu, Yongzhi Liu, Jingyi Chen et al.
2 citations
Fractal and Fractional
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
article

Interspecific Competition of Plant Communities Based on Fractional Order Time Delay Lotka–Volterra Model

Caiqin Zhang, Juhong Liu, Yongzhi Liu, Jingyi Chen, Jun Zhang
article en
2 citations

Abstract

A novel time delay Lotka–Volterra (TDLV) model was developed by extending the concept of time delay from integer order to fractional order. The TDLV model was constructed to simulate the dynamics of aboveground biomass per individual of three dominant herbaceous plant species (Leymus chinensis, Agropyron cristatum, and Stipa grandis) in the typical grasslands of Inner Mongolia. Comparative analysis indicated that the TDLV model outperforms candidate models, such as Logistic, GM(1,1), GM(1,N), DGM(2,1), and Lotka–Volterra model, in terms of all fitting criteria. The results demonstrate that interspecies competition exhibits clear feedback and suppression effects, with Leymus chinensis playing a central role in regulating community dynamics. The system is locally stable and eventually converges to an equilibrium point, though Stipa grandis maintains relatively low biomass, requiring further monitoring. Time delays are prevalent in the system, influencing dynamic processes and causing damping oscillations as populations approach equilibrium.

Fractal and FractionalVol. 9(2)
Inner Mongolia Agricultural University (CN), Huazhong Agricultural University (CN)
National Natural Science Foundation of China, Inner Mongolia Agricultural University
Openalex Percentile: Top 9%
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
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