Rich Spatiotemporal Dynamics of a Vegetation Model with Noise and Periodic Forcing

The growth of vegetation is undeniably subject to random fluctuations arising from environmental variability and internal effects due to periodic forcing. To address these issues, we investigated a spatial version of a vegetation model including seasonal rainfall, noise, and diffusion. By numerical...

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Main Authors: Xia-Xia Zhao, Jian-Zhong Wang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2014/218053
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author Xia-Xia Zhao
Jian-Zhong Wang
author_facet Xia-Xia Zhao
Jian-Zhong Wang
author_sort Xia-Xia Zhao
collection DOAJ
description The growth of vegetation is undeniably subject to random fluctuations arising from environmental variability and internal effects due to periodic forcing. To address these issues, we investigated a spatial version of a vegetation model including seasonal rainfall, noise, and diffusion. By numerical simulations, we found that noise can induce the pattern transition from stationary pattern to other patterns. More specifically, when noise intensity is small, patch invasion is induced. As noise intensity further increases, chaotic patterns emerge. For the system with noise and seasonal rainfall, it exhibits frequency-locking phenomena. Patterns transition may be a warning signal for the onset of desertification and thus the obtained results may provide some measures to protect vegetation, such as reducing random factors or changing irrigation on vegetation.
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institution Kabale University
issn 1026-0226
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publishDate 2014-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-3c0d61ce424a4ec3a79b412a642398ab2025-02-03T05:47:12ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/218053218053Rich Spatiotemporal Dynamics of a Vegetation Model with Noise and Periodic ForcingXia-Xia Zhao0Jian-Zhong Wang1National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, Shanxi 030051, ChinaNational Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, Shanxi 030051, ChinaThe growth of vegetation is undeniably subject to random fluctuations arising from environmental variability and internal effects due to periodic forcing. To address these issues, we investigated a spatial version of a vegetation model including seasonal rainfall, noise, and diffusion. By numerical simulations, we found that noise can induce the pattern transition from stationary pattern to other patterns. More specifically, when noise intensity is small, patch invasion is induced. As noise intensity further increases, chaotic patterns emerge. For the system with noise and seasonal rainfall, it exhibits frequency-locking phenomena. Patterns transition may be a warning signal for the onset of desertification and thus the obtained results may provide some measures to protect vegetation, such as reducing random factors or changing irrigation on vegetation.http://dx.doi.org/10.1155/2014/218053
spellingShingle Xia-Xia Zhao
Jian-Zhong Wang
Rich Spatiotemporal Dynamics of a Vegetation Model with Noise and Periodic Forcing
Discrete Dynamics in Nature and Society
title Rich Spatiotemporal Dynamics of a Vegetation Model with Noise and Periodic Forcing
title_full Rich Spatiotemporal Dynamics of a Vegetation Model with Noise and Periodic Forcing
title_fullStr Rich Spatiotemporal Dynamics of a Vegetation Model with Noise and Periodic Forcing
title_full_unstemmed Rich Spatiotemporal Dynamics of a Vegetation Model with Noise and Periodic Forcing
title_short Rich Spatiotemporal Dynamics of a Vegetation Model with Noise and Periodic Forcing
title_sort rich spatiotemporal dynamics of a vegetation model with noise and periodic forcing
url http://dx.doi.org/10.1155/2014/218053
work_keys_str_mv AT xiaxiazhao richspatiotemporaldynamicsofavegetationmodelwithnoiseandperiodicforcing
AT jianzhongwang richspatiotemporaldynamicsofavegetationmodelwithnoiseandperiodicforcing