2020
DOI: 10.1016/j.advwatres.2020.103675
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Stream-scale flow experiment reveals large influence of understory growth on vegetation roughness

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Cited by 14 publications
(7 citation statements)
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“…Approximately 40% of the flume width was covered by an array of emergent artificial foliated plant stands. In order to increase the similarity with natural riparian conditions, where shrubby and woody vegetation stand on a grassy understory (Berends et al., 2020; Lecerf et al., 2016), a 20 mm tall and 230 mm wide artificial grass lining was selected as bed roughness in the vegetated area. The presence of bed grasses allowed to reproduce realistic near‐bed flow whereas preliminary tests carried out in absence of bed grasses revealed that longitudinal velocity peaked in the near‐bed region owing to the smooth bed and the reduced frontal projected area of the plants in the first 2–3 cm.…”
Section: Methodsmentioning
confidence: 99%
“…Approximately 40% of the flume width was covered by an array of emergent artificial foliated plant stands. In order to increase the similarity with natural riparian conditions, where shrubby and woody vegetation stand on a grassy understory (Berends et al., 2020; Lecerf et al., 2016), a 20 mm tall and 230 mm wide artificial grass lining was selected as bed roughness in the vegetated area. The presence of bed grasses allowed to reproduce realistic near‐bed flow whereas preliminary tests carried out in absence of bed grasses revealed that longitudinal velocity peaked in the near‐bed region owing to the smooth bed and the reduced frontal projected area of the plants in the first 2–3 cm.…”
Section: Methodsmentioning
confidence: 99%
“…Flume studies are by definition unable to capture all the spatial scales that may be relevant for hydrodynamic processes in natural systems (Bouma et al, 2007). Field and large‐scale studies involving patches of real‐scale riparian vegetation remain scarce (Berends et al, 2020; Ji et al, 2016; Västilä et al, 2019; Zhang et al, 2021). Simulating vegetation with simplified rigid surrogates in physical and numerical models disregards the seasonality and flexibility‐induced flow modifications that may be relevant for understanding and modelling hydromorphological and ecological processes in natural systems (Caroppi et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…We acknowledge that our data covers a limited range of conditions but expect that the results can be extended to slightly outside the studied ranges of flow velocity, plant density and coverage. The study setting lacking grassy understory likely under-estimates D x for the commonly observed case with grasses growing below the foliage zone of woody shrubs (Berends et al, 2020;Carling et al, 2020). It 4) and ( 5)), because they do not describe the changes in the differential advection.…”
Section: Benefits and Limitations Of The Experimental Methodologymentioning
confidence: 99%