Inferring on fluvial resilience from multi-temporal high-resolution topography and geomorphic unit diversity

The resilience of a river corridor represents its ability to withstand and recover from disturbances. Quantifying fluvial resilience in the face of various stressors is essential for integrating ecology and geomorphology in a context of river management. Geomorphic unit diversity analysis emerges as...

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Autores: Llena, Manel, Batalla, Ramón J., Vericat, Damià
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/378543
Acceso en línea:http://hdl.handle.net/10261/378543
https://api.elsevier.com/content/abstract/scopus_id/85202931719
Access Level:acceso abierto
Palabra clave:Floods
Instream gravel mining
Geomorphic unit diversity
Geomorphic unit tool
Mountain river
Gravel-bed river
Cinca River
Southern Pyrenees
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repository_id_str
dc.title.none.fl_str_mv Inferring on fluvial resilience from multi-temporal high-resolution topography and geomorphic unit diversity
title Inferring on fluvial resilience from multi-temporal high-resolution topography and geomorphic unit diversity
spellingShingle Inferring on fluvial resilience from multi-temporal high-resolution topography and geomorphic unit diversity
Llena, Manel
Floods
Instream gravel mining
Geomorphic unit diversity
Geomorphic unit tool
Mountain river
Gravel-bed river
Cinca River
Southern Pyrenees
title_short Inferring on fluvial resilience from multi-temporal high-resolution topography and geomorphic unit diversity
title_full Inferring on fluvial resilience from multi-temporal high-resolution topography and geomorphic unit diversity
title_fullStr Inferring on fluvial resilience from multi-temporal high-resolution topography and geomorphic unit diversity
title_full_unstemmed Inferring on fluvial resilience from multi-temporal high-resolution topography and geomorphic unit diversity
title_sort Inferring on fluvial resilience from multi-temporal high-resolution topography and geomorphic unit diversity
dc.creator.none.fl_str_mv Llena, Manel
Batalla, Ramón J.
Vericat, Damià
author Llena, Manel
author_facet Llena, Manel
Batalla, Ramón J.
Vericat, Damià
author_role author
author2 Batalla, Ramón J.
Vericat, Damià
author2_role author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
CSIC - Instituto Pirenaico de Ecología (IPE)
Generalitat de Catalunya
Universidad de Lleida
Centres de Recerca de Catalunya
Llena, Manel [0000-0001-7095-6188]
Batalla, Ramón J. [0000-0001-8454-2314]
Vericat, Damià [0000-0002-5685-4895]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Floods
Instream gravel mining
Geomorphic unit diversity
Geomorphic unit tool
Mountain river
Gravel-bed river
Cinca River
Southern Pyrenees
topic Floods
Instream gravel mining
Geomorphic unit diversity
Geomorphic unit tool
Mountain river
Gravel-bed river
Cinca River
Southern Pyrenees
description The resilience of a river corridor represents its ability to withstand and recover from disturbances. Quantifying fluvial resilience in the face of various stressors is essential for integrating ecology and geomorphology in a context of river management. Geomorphic unit diversity analysis emerges as a valuable tool for characterizing and quantifying fluvial resilience to disturbances due to its inherent connection with fluvial dynamics. This paper aims to analyse and quantify the fluvial resilience of a wandering gravel-bed river affected by natural (e.g., floods) and human-induced (e.g., instream gravel mining) stressors. To achieve this goal, we use multi-temporal high-resolution topographic surveys of the Upper River Cinca (South-Central Pyrenees) spanning from 2014 to 2020. By employing the Geomorphic Unit Tool (GUT) on these surveys, we can map geomorphic units over time, quantify their diversity, and study geomorphic adjustments through morphodynamic signatures, altogether allowing inferring fluvial resilience. Our findings reveal that topographic changes (i.e., erosion and sedimentation) correlate with the type of stressor: maintenance works and gravel mining lead to degradation, while floods induce aggradation. Geomorphic Unit Diversity decreases following channel disturbances caused by gravel mining but rebounds after periods primarily stressed by floods, returning to pre-impact levels within six years. Geomorphic adjustments, such as channel incision and mid bar development, reflect erosion and sedimentation processes respectively, with channel maintenance works and floods being the main drivers. Despite the recovery of the geomorphic unit diversity within the reach, the deficit resulting from gravel extraction remains unresolved, perpetuating a degrading trend that poses risks in reducing lateral connectivity and could potentially catalyse future vegetation encroachment in bars and floodplains, causing changes on flood conveyance and hydraulics. Monitoring the river's geomorphic diversity provides crucial insights for effective conservation and management decisions regarding land use, development, and conservation along riverbanks, thereby sustaining or enhancing fluvial system resilience.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/378543
https://api.elsevier.com/content/abstract/scopus_id/85202931719
url http://hdl.handle.net/10261/378543
https://api.elsevier.com/content/abstract/scopus_id/85202931719
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104979RB-I00
The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.geomorph.2024.109412
https://doi.org/10.1016/j.geomorph.2024.109412
Sí
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dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
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instname_str Consejo Superior de Investigaciones Científicas (CSIC)
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spelling Inferring on fluvial resilience from multi-temporal high-resolution topography and geomorphic unit diversityLlena, ManelBatalla, Ramón J.Vericat, DamiàFloodsInstream gravel miningGeomorphic unit diversityGeomorphic unit toolMountain riverGravel-bed riverCinca RiverSouthern PyreneesThe resilience of a river corridor represents its ability to withstand and recover from disturbances. Quantifying fluvial resilience in the face of various stressors is essential for integrating ecology and geomorphology in a context of river management. Geomorphic unit diversity analysis emerges as a valuable tool for characterizing and quantifying fluvial resilience to disturbances due to its inherent connection with fluvial dynamics. This paper aims to analyse and quantify the fluvial resilience of a wandering gravel-bed river affected by natural (e.g., floods) and human-induced (e.g., instream gravel mining) stressors. To achieve this goal, we use multi-temporal high-resolution topographic surveys of the Upper River Cinca (South-Central Pyrenees) spanning from 2014 to 2020. By employing the Geomorphic Unit Tool (GUT) on these surveys, we can map geomorphic units over time, quantify their diversity, and study geomorphic adjustments through morphodynamic signatures, altogether allowing inferring fluvial resilience. Our findings reveal that topographic changes (i.e., erosion and sedimentation) correlate with the type of stressor: maintenance works and gravel mining lead to degradation, while floods induce aggradation. Geomorphic Unit Diversity decreases following channel disturbances caused by gravel mining but rebounds after periods primarily stressed by floods, returning to pre-impact levels within six years. Geomorphic adjustments, such as channel incision and mid bar development, reflect erosion and sedimentation processes respectively, with channel maintenance works and floods being the main drivers. Despite the recovery of the geomorphic unit diversity within the reach, the deficit resulting from gravel extraction remains unresolved, perpetuating a degrading trend that poses risks in reducing lateral connectivity and could potentially catalyse future vegetation encroachment in bars and floodplains, causing changes on flood conveyance and hydraulics. Monitoring the river's geomorphic diversity provides crucial insights for effective conservation and management decisions regarding land use, development, and conservation along riverbanks, thereby sustaining or enhancing fluvial system resilience.This research was carried out within the framework of three research projects funded by the Spanish Ministry of Economy and Competitiveness and the European FEDER funds: MORPHSED (CGL2012-36394), MORPHPEAK (CGL2016-78874-R/AEI/10.13039/501100011033) and MORPHAB (PID2019-104979RB-I00/AEI/10.13039/501100011033). Manel Llena has a “Juan de la Cierva Formación” postdoctoral contract (FJC2020-043890-I/AEI/10.13039/501100011033) from the Spanish Ministry of Science and Innovation at the IPE-CSIC when the manuscript was submitted, while he had a “Beatriu de Pinós” postdoctoral contract (2022 BP 00111) from the Generalitat de Catalunya when the manuscript was reviewed. Damià Vericat is a Serra Húnter Fellow at the University of Lleida. The three authors are part of the Fluvial Dynamics Research Group-RIUS, which is a Consolidated Group recognized by the Generalitat de Catalunya (2021 SGR 01114). We also acknowledge the support of the CERCA Program of the Generalitat de Catalunya (Spain).Peer reviewedElsevier BVMinisterio de Economía y Competitividad (España)Ministerio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)CSIC - Instituto Pirenaico de Ecología (IPE)Generalitat de CatalunyaUniversidad de LleidaCentres de Recerca de CatalunyaLlena, Manel [0000-0001-7095-6188]Batalla, Ramón J. [0000-0001-8454-2314]Vericat, Damià [0000-0002-5685-4895]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/378543https://api.elsevier.com/content/abstract/scopus_id/85202931719reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/CGL2012-36394/info:eu-repo/grantAgreement/MINECO/CGL2016-78874-R/AEIinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104979RB-I00The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.geomorph.2024.109412https://doi.org/10.1016/j.geomorph.2024.109412Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3785432026-05-22T06:33:51Z
score 15.812429

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