Preprints
https://doi.org/10.5194/egusphere-2025-2468
https://doi.org/10.5194/egusphere-2025-2468
10 Jun 2025
 | 10 Jun 2025
Status: this preprint is open for discussion and under review for Earth Surface Dynamics (ESurf).

Influence of network geometry on long-term morphodynamics of alluvial rivers

Fergus McNab, Taylor F. Schildgen, Jens Martin Turowski, and Andrew D. Wickert

Abstract. Alluvial rivers respond to external forcings such as variations in sediment supply, water supply and base level by aggrading, incising and adjusting the rates at which they transport sediment. These processes are recorded by landforms, such as terraces and fans, that develop along stream courses, and by stratigraphy in downstream sedimentary basins. Many concepts we use to interpret such records are derived from models that treat alluvial rivers as single streams: for example, the length of an alluvial river has been shown to set its response time to external forcing. However, alluvial rivers in nature exist within interconnected networks, complicating the application of such concepts to real systems. We therefore adapted a model describing long-profile evolution and sediment transport by transport-limited, gravel-bed alluvial rivers to account for network structure, and explored the response of large numbers of synthetic networks to sinusoidally varying sediment and water supply. We show that, in some respects, networks behave similarly to single-segment models. In particular, properties that integrate across the entire network, such as the total sediment output, are well predicted by single-segment models. We used this behaviour to define an empirical network response time, and show that this response time scales with network mean length, or the mean distance from all a network's inlets to its outlet. Nevertheless, interactions between segments do lead to complex signal propagation within networks: amplitudes and timings of aggradation and incision vary between minor tributaries and major trunk streams, and between upstream and downstream parts of the network, in ways that depend on that individual network's structure. We conclude that, while single-segment models may be useful for some applications, detailed studies of specific catchments require a modelling framework that accounts for their specific network structure.

Competing interests: One of the authors is a member of the editorial board of Earth Surface Dynamics.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Fergus McNab, Taylor F. Schildgen, Jens Martin Turowski, and Andrew D. Wickert

Status: open (until 22 Jul 2025)

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  • CC1: 'Comment on egusphere-2025-2468', Alan Howard, 10 Jun 2025 reply
Fergus McNab, Taylor F. Schildgen, Jens Martin Turowski, and Andrew D. Wickert

Model code and software

Software and data supplement to 'Influence of network geometry on long-term morphodynamics of alluvial rivers' by McNab et al. (2025, EGUsphere) Fergus McNab https://doi.org/10.5281/zenodo.15524965

Fergus McNab, Taylor F. Schildgen, Jens Martin Turowski, and Andrew D. Wickert

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Short summary
Alluvial rivers form networks, but many concepts we use to analyse their long-term evolution derive from models that treat them as single streams. We develop a model including tributary interactions and show that, while patterns of sediment output can be similar for network and single-segment models, complex signal propagation affects aggradation and incision within networks. We argue that understanding a specific catchment's evolution requires a model with its specific network structure.
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