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.

Noise-driven cooperative dynamics between vegetation and topography in riparian zones / Vesipa, Riccardo; Camporeale, CARLO VINCENZO; Ridolfi, Luca. - In: GEOPHYSICAL RESEARCH LETTERS. - ISSN 0094-8276. - ELETTRONICO. - 42:(2015), pp. 8021-8030. [10.1002/2015GL065688]

Noise-driven cooperative dynamics between vegetation and topography in riparian zones

VESIPA, RICCARDO;CAMPOREALE, CARLO VINCENZO;RIDOLFI, LUCA
2015

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2620668
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