A Study on the Effects of Riesz Fractional Diffusion on Pattern Formation in a Toxic-Phytoplankton–Zooplankton Model

In this paper, we investigate Turing instability and spatiotemporal pattern formation in a toxic-phytoplankton–zooplankton model incorporating Riesz fractional diffusion. By replacing classical Laplacians with fractional-order operators (−Δ)ϕ/2 and (−Δ)ψ/2, we establish a framework to capture species-specific anomalous diffusion in aquatic ecosystems. Theoretical analysis demonstrates that the fractional orders significantly modulate the Turing bifurcation threshold and the range of unstable modes. Numerical simulations, implemented via a DCT-based fractional finite difference scheme, reveal that: (1) fractional diffusion triggers pattern formation below the classical critical threshold, generating complex mixed structures unattainable in integer-order models; (2) the two fractional orders exert opposing influences on pattern morphology—decreasing the phytoplankton order ϕ promotes a transition from stripes to hexagonal spots. Our results suggest that anomalous diffusion is a key mechanism for ecological pattern selection, providing new insights into the spatiotemporal complexity of plankton populations in heterogeneous environments.

Authors

Institutions

Publication Details

Journal
Mathematics
Published
2026-02-24
DOI
https://doi.org/10.3390/math14050756
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on the Effects of Riesz Fractional Diffusion on Pattern Formation in a Toxic-Phytoplankton–Zooplankton Model

Feifan Zhang, Yuhan Yan, Ying Gong, Lei Zhao et al.
Mathematics
Fractional Differential Equations Solutions
article

A Study on the Effects of Riesz Fractional Diffusion on Pattern Formation in a Toxic-Phytoplankton–Zooplankton Model

Feifan Zhang, Yuhan Yan, Ying Gong, Lei Zhao, Peiwen Zhou
article en

Abstract

In this paper, we investigate Turing instability and spatiotemporal pattern formation in a toxic-phytoplankton–zooplankton model incorporating Riesz fractional diffusion. By replacing classical Laplacians with fractional-order operators (−Δ)ϕ/2 and (−Δ)ψ/2, we establish a framework to capture species-specific anomalous diffusion in aquatic ecosystems. Theoretical analysis demonstrates that the fractional orders significantly modulate the Turing bifurcation threshold and the range of unstable modes. Numerical simulations, implemented via a DCT-based fractional finite difference scheme, reveal that: (1) fractional diffusion triggers pattern formation below the classical critical threshold, generating complex mixed structures unattainable in integer-order models; (2) the two fractional orders exert opposing influences on pattern morphology—decreasing the phytoplankton order ϕ promotes a transition from stripes to hexagonal spots. Our results suggest that anomalous diffusion is a key mechanism for ecological pattern selection, providing new insights into the spatiotemporal complexity of plankton populations in heterogeneous environments.

MathematicsVol. 14(5)
China Agricultural University (CN), Tsinghua University (CN)
China Agricultural University
Life in Land
Openalex Percentile: Top 49%
Fractional Differential Equations Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.