River sinuosity describes a continuum between randomness and ordered growth
River sinuosity describes a continuum between randomness and ordered growth
River channels are among the most common landscape features on Earth. An essential characteristic of channels is sinuosity: their tendency to take a circuitous path, which is quantified as along-stream length divided by straight-line length. River sinuosity is interpreted as a characteristic that either forms randomly at channel inception or develops over time as meander bends migrate. Studies tend to assume the latter and thus have used river sinuosity as a proxy for both modern and ancient environmental factors including climate, tectonics, vegetation, and geologic structure. But no quantitative criterion for planform expression has distinguished between random, initial sinuosity and that developed by ordered growth through channel migration. This ambiguity calls into question the utility of river sinuosity for understanding Earth’s history. We propose a quantitative framework to reconcile these competing explanations for river sinuosity. Using a coupled analysis of modeled and natural channels, we show that while a majority of observed sinuosity is consistent with randomness and limited channel migration, rivers with sinuosity ≥1.5 likely formed their geometry through sustained, ordered growth due to channel migration. This criterion frames a null hypothesis for river sinuosity that can be applied to evaluate the significance of environmental interpretations in landscapes shaped by rivers. The quantitative link between sinuosity and channel migration further informs strategies for preservation and restoration of riparian habitat and guides predictions of fluvial deposits in the rock record and in remotely sensed environments from the seafloor to planetary surfaces.
1506-1510
Limaye, Ajay B.
221ad66a-001d-438e-9211-055e117c8f94
Lazarus, Eli
642a3cdb-0d25-48b1-8ab8-8d1d72daca6e
Li, Yuan
db3588d7-a6dc-4836-a7b7-035dfb0eb10d
Schwenk, Jon
972b63c9-f950-4d2b-84a6-e77fd60ce05e
30 August 2021
Limaye, Ajay B.
221ad66a-001d-438e-9211-055e117c8f94
Lazarus, Eli
642a3cdb-0d25-48b1-8ab8-8d1d72daca6e
Li, Yuan
db3588d7-a6dc-4836-a7b7-035dfb0eb10d
Schwenk, Jon
972b63c9-f950-4d2b-84a6-e77fd60ce05e
Limaye, Ajay B., Lazarus, Eli, Li, Yuan and Schwenk, Jon
(2021)
River sinuosity describes a continuum between randomness and ordered growth.
Geology, 49 (12), .
(doi:10.1130/G49153.1).
Abstract
River channels are among the most common landscape features on Earth. An essential characteristic of channels is sinuosity: their tendency to take a circuitous path, which is quantified as along-stream length divided by straight-line length. River sinuosity is interpreted as a characteristic that either forms randomly at channel inception or develops over time as meander bends migrate. Studies tend to assume the latter and thus have used river sinuosity as a proxy for both modern and ancient environmental factors including climate, tectonics, vegetation, and geologic structure. But no quantitative criterion for planform expression has distinguished between random, initial sinuosity and that developed by ordered growth through channel migration. This ambiguity calls into question the utility of river sinuosity for understanding Earth’s history. We propose a quantitative framework to reconcile these competing explanations for river sinuosity. Using a coupled analysis of modeled and natural channels, we show that while a majority of observed sinuosity is consistent with randomness and limited channel migration, rivers with sinuosity ≥1.5 likely formed their geometry through sustained, ordered growth due to channel migration. This criterion frames a null hypothesis for river sinuosity that can be applied to evaluate the significance of environmental interpretations in landscapes shaped by rivers. The quantitative link between sinuosity and channel migration further informs strategies for preservation and restoration of riparian habitat and guides predictions of fluvial deposits in the rock record and in remotely sensed environments from the seafloor to planetary surfaces.
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Published date: 30 August 2021
Additional Information:
Funding Information:
We thank Samuel Johnstone and an anonymous reviewer for helpful comments, and Roman DiBiase, Douglas Edmonds, and Chris Paola for discussions. The U.S. National Science Foundation (grants EAR-1823530 and EAR-1246761), the British Society for Geomorphology, and Los Alamos National Laboratory (LDRD-20170668PRD1) supported this work. Data and code from this study are available at the University of Virginia’s (USA) data repository Libra-Data (https://doi.org/10.18130/V3/TRTTIS) and at Github (https://github.com/alimaye/AR2-sinuosity), respectively.
Funding Information:
We thank Samuel Johnstone and an anonymous reviewer for helpful comments, and Roman DiBiase, Douglas Edmonds, and Chris Paola for discussions. The U.S. National Science Foundation (grants EAR-1823530 and EAR-1246761), the British Society for Geomorphology, and Los Alamos National Laboratory (LDRD-20170668PRD1) supported this work. Data and code from this study are available at the University of Virginia?s (USA) data repository Libra-Data (https://doi.org/10.18130/V3/TRTTIS) and at Github (https://github.com/alimaye/AR2-sinuosity), respectively.
Publisher Copyright:
© 2021. The Authors. Gold Open Access: This paper is published under the terms of the CC-BY license.
Identifiers
Local EPrints ID: 452047
URI: http://eprints.soton.ac.uk/id/eprint/452047
ISSN: 0091-7613
PURE UUID: 89b1647a-c629-4323-8996-20f3d14d1dc5
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Date deposited: 09 Nov 2021 17:34
Last modified: 17 Mar 2024 03:44
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Author:
Ajay B. Limaye
Author:
Yuan Li
Author:
Jon Schwenk
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