2014
DOI: 10.1002/esp.3579
|View full text |Cite
|
Sign up to set email alerts
|

Orogen‐scale drainage network evolution and response to erodibility changes: insights from numerical experiments

Abstract: The continuous feedbacks among tectonics, surface processes, and climate are reflected in the distribution of catchments on active mountain ranges. Previous studies have shown a regularity of valley spacing across mountain ranges worldwide, but the origin of this geomorphological feature is currently not well known. In this work, we use a landscape evolution model to investigate the process of fluvial network organization and the evolution of regular ridge-and-valley patterns on simulated mountain ranges. In p… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
42
0

Year Published

2015
2015
2018
2018

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 52 publications
(47 citation statements)
references
References 39 publications
5
42
0
Order By: Relevance
“…() and Giachetta et al . (): the Real‐Space Cellular Automaton Laboratory (ReSCAL). The model, at its core, mimics multiple physical processes by focusing on interactions between neighbouring cells ('doublets').…”
Section: Simulationssupporting
confidence: 90%
See 1 more Smart Citation
“…() and Giachetta et al . (): the Real‐Space Cellular Automaton Laboratory (ReSCAL). The model, at its core, mimics multiple physical processes by focusing on interactions between neighbouring cells ('doublets').…”
Section: Simulationssupporting
confidence: 90%
“…At a similar spatial scale, Giachetta et al . () focus on the complex rearrangement dynamics of valleys in mountain ranges. They study how the regular spacing of valleys that has been recognized across mountain ranges worldwide (Hovius, ), is formed after steady state topography is perturbed.…”
Section: Simulationsmentioning
confidence: 99%
“…Modeling of longitudinal river profiles has been used to reconstruct the histories and patterns of regional and local tectonic uplift. In this study we designed a two-step modeling experiment: in the first step we reconstruct the paleotopography of the Iberian Chain during the Pliocene and the Quaternary (Section 3) using a landscape evolution model SIGNUM (Refice et al, 2012;Giachetta et al, 2014) and in the second step, we model the stream profile evolution of rivers draining the Iberian Chain (Section 4). The numerical model, SIGNUM, represents the land surface by a set of points with three-dimensional coordinates, connected by edges to form a triangulated irregular network (TIN).…”
Section: Signum Landscape Evolution Modelmentioning
confidence: 99%
“…In the first step we use a landscape evolution model called SIGNUM (Refice et al, 2012), which has been successfully used to investigate the feedbacks between uplift and erosion in active tectonic settings and the reorganization of drainage network at the orogen scale (e.g. Capolongo et al, 2011;Giachetta et al, 2014). SIGNUM is suitable to simulate the transient response of a synthetic topography representing the Iberian Chain to a tectonic perturbation over 10 6 year time scale.…”
Section: Introductionmentioning
confidence: 99%
“…The perturbation is analogous to that studied by Bonnet () through a change in precipitation. Although both studies show that drainage basins reorganize so as to maintain a spacing ratio close to 2 as in studies by Hovius (); Talling et al () and Castelltort and Simpson (), in the study of Giachetta et al () this reorganization occurs through the lateral enlargement and capture of drainage area from a few large catchments by numerous smaller ones, a mechanism different from the splitting of drainage basins evidenced in the laboratory experiments of Bonnet (). These results are not exclusive of each other as they perhaps rather stem from different sediment transport conditions in the channels (detachment versus supply‐limited) as suggested by Giachetta and colleagues.…”
Section: Modeling Tectonics and Climate Controlled Surface Processes mentioning
confidence: 99%