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Untangling the controls on bedload transport in a wood-loaded river with RFID tracers and linear mixed modelling

Untangling the controls on bedload transport in a wood-loaded river with RFID tracers and linear mixed modelling
Untangling the controls on bedload transport in a wood-loaded river with RFID tracers and linear mixed modelling

Bedload transport is a fundamental process by which coarse sediment is transferred through landscapes by river networks and may be well described stochastically by distributions of grain step length and rest time obtained through tracer studies. To date, none of these published tracer studies have specifically investigated the influence of large wood in the river channel on sediment transport dynamics, limiting the applicability of stochastic sediment transport models in these settings. Large wood is a major component of many forested rivers and is increasing due to anthropogenic ‘Natural Flood Management’ (NFM) practices. This study aims to investigate and model the influence of large wood on grain-scale bedload transport.

We tagged 957 cobble to pebble sized particles (D50 = 73 mm) and 28 pieces of large wood (> 1 m in length) with radio frequency identification (RFID) tracers in an alpine mountain stream. We monitored the transport distance of tracers annually over 3 years, building distributions of tracer transport distances with which to compare with published distributions from wood free settings. We also applied linear mixed modelling (LMM), to tease out the influence of wood from other controls on likelihood of entrainment, deposition, and the transport distances of sediments.

Tracer sediments accumulated both upstream and downstream of large wood pieces, with LMM analysis confirming a reduction in the probability of entrainment of tracers closer to wood in all 3 years. Upon remobilization, tracers entrained from positions closer to large wood had shorter subsequent transport distances in each year. In 2019, large wood also had a trapping effect, significantly reducing the transport distances of tracer particles entrained from upstream, that is forcing premature deposition of tracers. This study demonstrates the role of large wood in influencing bedload transport in alpine stream environments, with implications for both natural and anthropogenic addition of wood debris in fluvial environments.

Bedload Tracers Gravel Rivers Wood
0197-9337
2283-2298
Clark, Miles J.
c1f2d845-90af-49f3-8722-37af7ba6d175
Bennett, Georgina L.
4902dca0-bdcb-4a1d-b504-2789423dd6d3
Ryan-Burkett, Sandra E.
a2737ad3-09b0-4e17-a719-be88e4f25864
Sear, David A.
ccd892ab-a93d-4073-a11c-b8bca42ecfd3
Franco, Aldina M.A.
c36639d2-4aba-4677-b80a-600bebcf9e1b
Clark, Miles J.
c1f2d845-90af-49f3-8722-37af7ba6d175
Bennett, Georgina L.
4902dca0-bdcb-4a1d-b504-2789423dd6d3
Ryan-Burkett, Sandra E.
a2737ad3-09b0-4e17-a719-be88e4f25864
Sear, David A.
ccd892ab-a93d-4073-a11c-b8bca42ecfd3
Franco, Aldina M.A.
c36639d2-4aba-4677-b80a-600bebcf9e1b

Clark, Miles J., Bennett, Georgina L., Ryan-Burkett, Sandra E., Sear, David A. and Franco, Aldina M.A. (2022) Untangling the controls on bedload transport in a wood-loaded river with RFID tracers and linear mixed modelling. Earth Surface Processes and Landforms, 47 (9), 2283-2298. (doi:10.1002/esp.5376).

Record type: Article

Abstract

Bedload transport is a fundamental process by which coarse sediment is transferred through landscapes by river networks and may be well described stochastically by distributions of grain step length and rest time obtained through tracer studies. To date, none of these published tracer studies have specifically investigated the influence of large wood in the river channel on sediment transport dynamics, limiting the applicability of stochastic sediment transport models in these settings. Large wood is a major component of many forested rivers and is increasing due to anthropogenic ‘Natural Flood Management’ (NFM) practices. This study aims to investigate and model the influence of large wood on grain-scale bedload transport.

We tagged 957 cobble to pebble sized particles (D50 = 73 mm) and 28 pieces of large wood (> 1 m in length) with radio frequency identification (RFID) tracers in an alpine mountain stream. We monitored the transport distance of tracers annually over 3 years, building distributions of tracer transport distances with which to compare with published distributions from wood free settings. We also applied linear mixed modelling (LMM), to tease out the influence of wood from other controls on likelihood of entrainment, deposition, and the transport distances of sediments.

Tracer sediments accumulated both upstream and downstream of large wood pieces, with LMM analysis confirming a reduction in the probability of entrainment of tracers closer to wood in all 3 years. Upon remobilization, tracers entrained from positions closer to large wood had shorter subsequent transport distances in each year. In 2019, large wood also had a trapping effect, significantly reducing the transport distances of tracer particles entrained from upstream, that is forcing premature deposition of tracers. This study demonstrates the role of large wood in influencing bedload transport in alpine stream environments, with implications for both natural and anthropogenic addition of wood debris in fluvial environments.

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Earth Surf Processes Landf - 2022 - Clark - Untangling the controls on bedload transport in a wood‐loaded river with RFID - Version of Record
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Accepted/In Press date: 1 April 2022
e-pub ahead of print date: 12 April 2022
Published date: 2 May 2022
Keywords: Bedload Tracers Gravel Rivers Wood

Identifiers

Local EPrints ID: 490352
URI: http://eprints.soton.ac.uk/id/eprint/490352
ISSN: 0197-9337
PURE UUID: be376b3b-5dc7-4a61-bb61-cbc200de4101
ORCID for David A. Sear: ORCID iD orcid.org/0000-0003-0191-6179

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Date deposited: 23 May 2024 17:06
Last modified: 24 May 2024 01:33

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Contributors

Author: Miles J. Clark
Author: Georgina L. Bennett
Author: Sandra E. Ryan-Burkett
Author: David A. Sear ORCID iD
Author: Aldina M.A. Franco

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