Stationary distribution of a stochastic vegetation-water system with reaction-diffusion

Abstract Considering the impact of the mean-reverting Ornstein–Uhlenbeck (O–U) process in an ecosystem, the stable distribution of a stochastic reaction–diffusion vegetation–water system was studied. We proved the existence and uniqueness of the global positive solution of the system by constructing the Lyapunov function. We established the existence and uniqueness of the stable distribution of the solution of the system.

[1]  S. Janhäll Review on urban vegetation and particle air pollution – Deposition and dispersion , 2015 .

[2]  Yan Qiao,et al.  Early warning and basin stability in a stochastic vegetation-water dynamical system , 2019, Commun. Nonlinear Sci. Numer. Simul..

[3]  K. Parthasarathy,et al.  Probability measures on metric spaces , 1967 .

[4]  C. Klausmeier,et al.  Regular and irregular patterns in semiarid vegetation , 1999, Science.

[5]  Kai Liu,et al.  Stationary distributions of second order stochastic evolution equations with memory in Hilbert spaces , 2017, Stochastic Processes and their Applications.

[6]  D. Duffie Dynamic Asset Pricing Theory , 1992 .

[7]  Guohong Zhang,et al.  Vegetation pattern formation of a water-biomass model , 2017, Commun. Nonlinear Sci. Numer. Simul..

[8]  Philippe Sands,et al.  United Nations Convention to Combat Desertification in Countries Experiencing Serious Drought and/or Desertification, Particularly in Africa, 17 June 1994 , 2004 .

[9]  A. Meyer-Baese,et al.  Dynamic analysis of a soil organic matter and plant system with reaction-diffusion , 2021 .

[10]  Hong Liu,et al.  The ergodic property and positive recurrence of a multi-group Lotka-Volterra mutualistic system with regime switching , 2013, Syst. Control. Lett..

[11]  Qimin Zhang,et al.  Near‐optimal control of a stochastic vegetation‐water system with reaction diffusion , 2020, Mathematical Methods in the Applied Sciences.

[12]  Peng Zhang,et al.  The eco-hydrological threshold for evaluating the stability of sand-binding vegetation in different climatic zones , 2017 .

[13]  L. Ridolfi,et al.  Noise‐driven cooperative dynamics between vegetation and topography in riparian zones , 2015 .

[14]  Feng-Min Li,et al.  Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau. , 2019, The Science of the total environment.

[15]  X. Mao,et al.  A highly sensitive mean-reverting process in finance and the Euler-Maruyama approximations , 2008 .

[16]  Cristina Masoller,et al.  Interaction network based early-warning indicators of vegetation transitions , 2014 .

[17]  Huayong Zhang,et al.  Vegetation patterns generated by a wind driven sand-vegetation system in arid and semi-arid areas , 2017 .

[18]  R. Scholes,et al.  Competition between trees and grasses for both soil water and mineral nitrogen in dry savannas. , 2013, Journal of theoretical biology.

[19]  Shengnan Zhao,et al.  Threshold behavior in a stochastic algal growth model with stoichiometric constraints and seasonal variation , 2020 .

[20]  Ciriyam Jayaprakash,et al.  Impact of noise on bistable ecological systems , 2007 .