Return period of vegetation uprooting by flow

Calvani, Giulio; Perona, Paolo; Zen, Simone; Bau, Valentina; Solari, Luca

doi:10.1016/j.jhydrol.2019.124103

Cited by 12 publications

(16 citation statements)

References 47 publications

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“…A number of studies have suggested that species distribution can be predicted by the interaction between disturbance regime and key plant traits. Experiments carried out by Perona and Crouzy 12 (but see also recent modelling studies 20,52 ) showed that the vegetation survival to flood can be predicted by the rooting depth distribution prior the flood, as trait responsible to control plant resistance to scour. Floods would tend to remove individuals with less developed root systems, more vulnerable to uprooting, therefore selecting only individuals having longer uprooting depths.…”

Section: Discussionmentioning

confidence: 99%

A model study of the combined effect of above and below ground plant traits on the ecomorphodynamics of gravel bars

Caponi

Vetsch

Siviglia

2020

Sci Rep

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Both above- and below-ground plant traits are known to modulate feedbacks between vegetation and river morphodynamic processes. However, how they collectively influence vegetation establishment on gravel bars remains less clear. Here we develop a numerical model that couples above- and below-ground vegetation dynamics with hydromorphological processes. The model dynamically links plant growth rate to water table fluctuations and includes plant mortality by uprooting and burial. We considered a realistic hydrological regime and used the model to simulate the coevolution of alternate gravel bars and vegetation that displays trade-offs in investment of above- and below-ground biomass. We found that a balanced plant growth above- and below-ground facilitates vegetation to establish on steady, stable bars, because it allows plants to develop traits that maximise growth performance during low flow periods and thus survival during floods. Regardless of the growth strategy, vegetation could not establish on migrating bars because of large plant loss by uprooting during floods. These findings add on previous studies suggesting that morphodynamic processes play a key role on determining plant trait distributions and highlight the importance of including the dynamics of both above- and below-ground plant traits for predicting shifts between bare and vegetated states in river bars.

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Section: Discussionmentioning

confidence: 99%

A model study of the combined effect of above and below ground plant traits on the ecomorphodynamics of gravel bars

Caponi

Vetsch

Siviglia

2020

Sci Rep

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“…To determine the reference flow event, we therefore use the mean of all such events obtained analytically from Calvani et al. (2019),

Q_{ξ} (t) = Q_{0} (ξ) e^{- t / τ_{1}}

where Q 0 is the mean of all peak events exceeding the threshold ξ , and τ 1 is the integral temporal scale of the reference mean event. The reference mean event (red line in Figure 1c) ceases at

T_{ξ}^{+}

, which is the up‐crossing period of the signal.…”

Section: Riparian Processes and Model Formulationmentioning

confidence: 99%

“…The blue line represents the bed erosion rate (modified from Calvani et al. (2019)).…”

Section: Riparian Processes and Model Formulationmentioning

confidence: 99%

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Plant Roots Steer Resilience to Perturbation of River Floodplains

Bau

Borthwick

Perona

2021

Geophysical Research Letters

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Freshwater ecosystems along river floodplains host among the greatest biodiversity on Earth and are known to respond to anthropic pressure. For water impounded systems, resilience to changes in the natural flow regime is believed to be bidirectional. Whether such resilience prevents the system from returning to pristine conditions after the flow regime changes reverse is as yet unclear, though widely documented. In this work, we show that temporal irreversibility of river floodplains to recover their status may be explained by the dynamics of riparian water‐tolerant plant roots. Our model is a quantitative tool that will benefit scientists and practitioners in predicting the impact of changing flow regimes on long‐term river floodplain dynamics.

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“…(2018) and Calvani, Perona, Zen et al. (2019) considered the dynamics of vegetation and variable flow discharges, mathematically simulated by a Compound Poisson Process. Similarly to Perona et al.…”

Section: Introductionmentioning

confidence: 99%