Sensitivity of fish habitat suitability to multi-resolution hydraulic modeling and field-based description of meso-scale river habitats

Farò, David; Baumgartner, Katharina; Vezza, Paolo; Zolezzi, Guido

doi:10.1016/j.hydroa.2023.100160

Cited by 2 publications

(1 citation statement)

References 59 publications

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“…Furthermore, by studying the covariance of physical river properties, one can identify coherent MUs (Pasternack, Gore, & Wiener, 2021) and even delimit them automatically (Nardini et al, 2020). Hydraulic numerical modelling is another way to segment rivers into MUs (Farò et al, 2018;Farò et al, 2022;Jowett & Duncan, 2012;Wyrick, Senter, & Pasternack, 2014), but this requires significant efforts and data for the model calibration. Others, such as Belletti et al (2017), proposed multiscale analysis of MUs for physical habitat identification and river morphology.…”

Section: Introductionmentioning

confidence: 99%

Statistically derived morphological signatures of large river channels extracted from topo‐bathymetric LiDAR data

Andréault,

Rodrigues,

Gaudichet

et al. 2023

Earth Surf Processes Landf

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With the development of LiDAR technology and the availability of topo‐bathymetric data of high quality, new methods are emerging to describe and understand more accurately fluvial geomorphology. We explore the capacities of probability density functions (PDFs) of detrended dimensionless elevations extracted from digital elevation models (DEMs) to document channels morphology and configuration. These DEMs were obtained from a topo‐bathymetric LiDAR survey of 450 km performed on the middle and lower reaches of the largest river of France: the Loire River. The objective is to propose a thorough and complete method for PDF analysis in order to assess the vertical structuration of river reaches presenting various fluvial patterns. The analysis was conducted on the PDFs of active channel belt of four sites selected for the diversity of their morphological configurations (anabranching, braided, channelized and meandering). Results showed that PDFs appear to be specific of a reach and that they are useful for describing its vertical structure. The simplification with Gaussian mixture model (GMM) is effective in slicing PDF and the resulting Gaussians components are related to morphological units (MUs). The distance between Gaussian curves obtained using GMMs can be considered as an indicator of topo‐bathymetric connectivity between MUs (e.g., main and side channels) on sites presenting multichannel or channelized channel configurations. The study showed the high potential of PDF and GMM analysis in the field of fluvial geomorphology and suggests interesting developments for river management and restoration.

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