Turing patterns in a networked vegetation model DOI Creative Commons

Xiaomei Bao,

Canrong Tian

Mathematical Biosciences & Engineering, Journal Year: 2024, Volume and Issue: 21(11), P. 7601 - 7620

Published: Jan. 1, 2024

A vegetation model composed of water and plants was proposed by introducing a weighted graph Laplacian operator into the reaction-diffusion dynamics. We showed global existence uniqueness solution via monotone iterative sequence. The parameter space Turing patterns for plant behavior is obtained based on analysis eigenvalues graph, while amplitude equation determining stability weakly nonlinear analysis. also show that optimal rainfall only determined density water. By some numerical simulations, we examine individual effect diffusion term formation regular patterns. large induces stable

Language: Английский

A random planting model DOI
J. Talbot, Pascal Viot, David Colliaux

et al.

Journal of Statistical Mechanics Theory and Experiment, Journal Year: 2025, Volume and Issue: 2025(1), P. 013402 - 013402

Published: Jan. 1, 2025

Abstract The adoption of agroecological practices will be crucial to address the challenges climate change and biodiversity loss. Such favor cultivation plants in complex mixtures with layouts differing from monoculture approach conventional agriculture. Inspired by random sequential adsorption processes, we propose a one-dimensional model which are represented as line segments that start points grow at constant rate until they reach length σ after time interval τ . planting positions times randomly chosen constraint plant overlap is forbidden. We apply an exact, event-driven simulation investigate resulting spatiotemporal patterns yields both mono- duocultures. After transient period, oscillations density coverage, field reaches steady state mean age one half maturity. structure active characterized correlation functions between fluctuation its k th neighbour. Nearest neighbours negatively correlated, while next nearest tend have similar ages. yield increases approaches maximum value 4/3 per unit time. For two species same size maturity but different growth rates, more slowly growing enriched harvest compared seed mix composition. If sizes, smaller and, sufficiently high rate, larger may completely absent. ratio σ / τ selectivity insensitive rate. This algorithms describing strategies extended higher dimensions, other assist design novel microfarms.

Language: Английский

Citations

0

Travelling waves in dryland ecology: continuous and discontinuous connections in a hyperbolic vegetation model DOI
Gabriele Grifó, Carmela Curró, Giovanna Valenti

et al.

Nonlinear Dynamics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Language: Английский

Citations

0

Vegetation pattern formation and transition in dryland ecosystems with finite soil resources and inertia DOI Creative Commons
Giancarlo Consolo, Carmela Curró, Gabriele Grifó

et al.

Physica D Nonlinear Phenomena, Journal Year: 2025, Volume and Issue: unknown, P. 134601 - 134601

Published: March 1, 2025

Language: Английский

Citations

0

Bifurcations analysis and pattern formation in a plant-water model with nonlocal grazing DOI
Yong Wang, Jia‐Xin Yin, Rui Yuan

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Language: Английский

Citations

1

Turing patterns in a networked vegetation model DOI Creative Commons

Xiaomei Bao,

Canrong Tian

Mathematical Biosciences & Engineering, Journal Year: 2024, Volume and Issue: 21(11), P. 7601 - 7620

Published: Jan. 1, 2024

A vegetation model composed of water and plants was proposed by introducing a weighted graph Laplacian operator into the reaction-diffusion dynamics. We showed global existence uniqueness solution via monotone iterative sequence. The parameter space Turing patterns for plant behavior is obtained based on analysis eigenvalues graph, while amplitude equation determining stability weakly nonlinear analysis. also show that optimal rainfall only determined density water. By some numerical simulations, we examine individual effect diffusion term formation regular patterns. large induces stable

Language: Английский

Citations

0