Noise-driven cooperative dynamics between vegetation and topography in riparian zones
Riparian ecosystems exhibit complex biotic and abiotic dynamics, where the triad vegetation‐sediments‐stream determines the ecogeomorphological features of the river landscape. Random fluctuations of the water stage are a key trait of this triad, and a number of behaviors of the fluvial environment...
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Published in | Geophysical research letters Vol. 42; no. 19; pp. 8021 - 8030 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Washington
Blackwell Publishing Ltd
16.10.2015
John Wiley & Sons, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Riparian ecosystems exhibit complex biotic and abiotic dynamics, where the triad vegetation‐sediments‐stream determines the ecogeomorphological features of the river landscape. Random fluctuations of the water stage are a key trait of this triad, and a number of behaviors of the fluvial environment can be understood only taking into consideration the role of noise. In order to elucidate how randomness shape riparian transects, a stochastic model that takes into account the main links between vegetation, sediments, and the stream is adopted, emphasizing the capability of vegetation to alter the plot topography. A minimalistic approach is pursued, and the probability density function of vegetation biomass is analytically evaluated in any transect plot. This probability density function strongly depends on the vegetation‐topography feedback. We demonstrate how the vegetation‐induced modifications of the bed topography create more suitable conditions for the survival of vegetation in a stochastically dominated environment.
Key Points
A stochastic model elucidates how random variations of water stage shape riparian transects
A key feature of the model is to consider that vegetation alters the plot topography
Vegetation modifies the topography for creating conditions more suitable to its survival |
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Bibliography: | istex:31E71E20FCA46FE25C2F6C6B25F9BAF2C2A07833 ArticleID:GRL53531 Supporting Information S1 ark:/67375/WNG-4RFS9XT2-9 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0094-8276 1944-8007 |
DOI: | 10.1002/2015GL065688 |