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39th IAHR
WORLD CONGRESS

GRANADA, SPAIN 2022
From Snow to Sea

19-24 June 2022

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# Functional trait-based numerical modelling of feedbacks between river morphodynamics and riparian vegetation for river research and sustainable management

V. Garófano-Gómez, F. Arrignon, F. Vautier, E. Tabacchi, E. Allain, A. Bonis, S. Delmotte, E. González, F. Julien, L. Lambs, F. Martínez-Capel, A-M. Planty-Tabacchi, E. Roussel, J. Steiger, J-P. Toumazet, I. Till-Bottraud, O. Voldoire, R. Walcker, D. Corenblit

## NUMRIP (ANR Project 2022-2025)

### Projet-ANR-21-CE32-0007

anr®

USA
UNIVERSITÉ
Clermont
Auvergne

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MAD
ENVIRONNEMENT

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FSH
MSH CLERMONT-FERRAND

INTEL ESPACE
Plateforme géomatique

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UNIVERSITÉ
TOULOUSE III
PAUL SABATIER

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Université
de Toulouse

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Laboratoire écologie
fonctionnelle
et environnement

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IGIC
Instituto de Investigación para la gestión integrada de puentes conterrá

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UNIVERSIDAD
POLITECNICA
DE VALENCIA
* Fluvial corridors are among the most dynamic ecosystems on Earth.

* There is an urgent need to restore the functioning of rivers.

* NUMRIP project aims to build a tool (numerical model) to quantify and simulate fluvial landscape dynamics with the explicit consideration of feedbacks between vegetation dynamics and river morphodynamics integrating a functional trait approach.

<figure><img src="image_13.png" /><figcaption>Allier River (France)</figcaption></figure>

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Réserve Naturelle du Val d'Allier (France)

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Garófano-Gómez et al., 2017. Geómorphologie.
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* A functional trait approach will be followed.

Wet conditions

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Dry conditions

## Task 1: Trait-based characterisation of the vegetation

Define functional groups of responses to and effects on the physical environment.

-GEOLAB, Lab Ecol Fonc Env-

### Components of the plant successional units (circles)

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## Task 2: Spatial analysis

Define a semi-automatic procedure for the constitution of 2D and 3D spatial information (DEMs and plant characteristics).

-IntelEspace, GEOLAB-

<figure><img src="image_25.png" /><figcaption>LiDAR 3D data acquired by drone</figcaption></figure>

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* Inputs from Tasks 1 and 2.

* Flow model (LISFLOOD).

* Sediment model (adapted from CAESAR).

* Vegetation (new module).

* Cellular automaton.

## Task 3: Model development

Optimization of the pre-existing
hydrogeomorphological modulus of GALET; coding
and calibration of the new trait-based vegetation
modulus; development of an optimized code.

-MAD-Env-

<figure><img src="image_28.png" /><figcaption>2D maps of dynamic variables</figcaption></figure>
* Sensitivity analyses.

* Research tool in river science.

* Decision support system for river managers.

* Simulation of different scenarios.

Future evolutionary trajectories of the fluvial corridor?

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**Task 4: Model validation and application**

Investigate the potential trajectories of rivers.
-MAD-Env, GEOLAB, Lab Ecol Fonc Env-

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UNITED NATIONS DECADE ON
**ECOSYSTEM**
**RESTORATION**
2021-2030
Thank you very much for your attention!

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fmcapel@dihma.upv.es

Latest news of the project:

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GEOLAB

Laboratoire de Géographie Physique et Environnementale

https://geolab.uca.fr

Project

ResearchGate

ANR project NUMRIP: Trait-based numerical modelling of
feedbacks between river morphodynamics and riparian
vegetation

Scientific coordinator: **Dov Corenblit** (dov.corenblit@uca.fr)

Université Clermont Auvergne, CNRS, GEOLAB, 63000 Clermont-Ferrand