Work

Asymptotical Analysis on Deterministic and Stochastic Climate Models of Vegetation‐CO2‐Temperature

Year: 2025

Type: article

Abstract: ABSTRACT The surface temperature of the Earth is affected significantly by emission of and vegetation. To study this complex climate system, in this paper, we propose a deterministic and two stochastic mathematical models to describe the climate system of vegetation‐ ‐temperature and investigate the dynamical behavior of their solutions. Initially, a deterministic model (ODE) is developed by taking into account the relationship among temperature, , and vegetation. The existence and linearized stability of vegetation‐free and vegetation‐cover equilibria for this model are discussed by applying Lyapunov functions method. Based on this, through introducing stochastic disturbances, we further establish two (periodic) stochastic models, and the asymptotic behavior of their solutions is studied as well, including existence of (periodic) positive solutions, linearized stability, and global attractiveness of the vegetation‐free steady point. Finally, the obtained theoretical results are illustrated and discussed through numerical simulations.

Source: Mathematical Methods in the Applied Sciences

DOI: 10.1002/mma.10950

Authors: Jialiang Huang, Xianlong Fu

Institution: East China Normal University

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDGs: Climate action, Life on land

Open Access status: bronze

Funder: Science and Technology Commission of Shanghai Municipality