Journal article
Accelerated river mobility linked to water discharge variability
- Abstract:
- Understanding drivers of river mobility—temporal shifts in river channel positions—is critical for managing fluvial landscapes sustainably and for interpreting past river responses to climate change. However, direct observations linking river mobility and water discharge variability are scarce. Here, we pair multi‐annual measurements of daily water discharge and river mobility, estimated from Landsat, for 48 rivers worldwide. We show that, across climates and planforms, river mobility is correlated with water discharge variability over daily, intra‐annual, and inter‐annual timescales. For similar mean discharge, higher discharge variability is associated with up to an order‐of‐magnitude faster floodplain reworking. A random forest regression model indicates that discharge variability is the primary predictor of river mobility, when compared to mean water discharge, sediment concentration, and channel‐bed slope. Our results suggest that enhanced hydro‐climatic extremes could accelerate future river mobility, and that past changes to discharge variability may explain the fabric of fluvial strata.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 2.0MB, Terms of use)
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- Publisher copy:
- 10.1029/2024gl112899
Authors
+ Victoria University of Wellington
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- Funder identifier:
- https://ror.org/0040r6f76
+ National Aeronautics and Space Administration
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- Funder identifier:
- https://ror.org/027ka1x80
- Publisher:
- Wiley
- Journal:
- Geophysical Research Letters More from this journal
- Volume:
- 52
- Issue:
- 2
- Article number:
- e2024GL112899
- Publication date:
- 2025-01-16
- Acceptance date:
- 2024-11-19
- DOI:
- EISSN:
-
1944-8007
- ISSN:
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0094-8276
- Language:
-
English
- Pubs id:
-
2079093
- Local pid:
-
pubs:2079093
- Source identifiers:
-
2599137
- Deposit date:
-
2025-01-17
Terms of use
- Copyright holder:
- Leenman et al
- Copyright date:
- 2025
- Rights statement:
- © 2025. The Author(s). This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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