Evidence map›Paper›PMID 35495078›Full record

ArticleJournal of soils and sediments2022

Improving the design and implementation of sediment fingerprinting studies: summary and outcomes of the TRACING 2021 Scientific School.

Olivier Evrard, Pedro V G Batista, Jaume Company, Aymeric Dabrin, Anthony Foucher, Amaury Frankl, Julián García-Comendador, Arnaud Huguet, Niels Lake, Ivan Lizaga and 4 more

Abstract read
In one paragraph

Article in Journal of soils and sediments, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Olivier EvrardLaboratoire Des Sciences du Climat Et de L'Environnement (LSCE/IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID 0000-0002-3503-6543
Pedro V G BatistaWater and Soil Resource Research, Institute for Geography, Universität Augsburg, Alter Postweg 118, 86159 Augsburg, Germany.
Jaume CompanyDepartment of Geography, University of the Balearic Islands, Carretera de Valldemossa Km 7.5, Palma, Balearic Islands, Spain.
Aymeric DabrinINRAE, UR RiverLy, 5 rue de la Doua, 20244 Villeurbanne, CS France.
Anthony FoucherLaboratoire Des Sciences du Climat Et de L'Environnement (LSCE/IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
Amaury FranklINRAE, AMAP, CIRAD, CNRS, University Montpellier, Boulevard de La Lironde, Montpellier, IRD France.
Julián García-ComendadorDepartment of Geography, University of the Balearic Islands, Carretera de Valldemossa Km 7.5, Palma, Balearic Islands, Spain.
Arnaud HuguetUMR METIS, Sorbonne Université, CNRS, EPHE, Paris, PSL France.
Niels LakeCatchment and Eco-Hydrology Research Group (CAT), Environmental Research and Innovation Department (ERIN), Institute of Science and Technology (LIST), Belvaux, Luxembourg.
Ivan LizagaDepartment of Green Chemistry and Technology, Isotope Bioscience Laboratory, Ghent University, Ghent, Belgium.
Núria Martínez-CarrerasCatchment and Eco-Hydrology Research Group (CAT), Environmental Research and Innovation Department (ERIN), Institute of Science and Technology (LIST), Belvaux, Luxembourg.
Oldrich NavratilUMR 5600 Environment City Society, University of Lyon, CNRS, Lyon, France.
Cécile PignolUniv. Savoie Mont-Blanc, CNRS, EDYTEM, Le Bourget du Lac, France.
Virginie SellierLaboratory of Geology, UMR 8538, ENS, CNRS, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Identifying best practices for sediment fingerprinting or tracing is important to allow the quantification of sediment contributions from catchment sources. Although sediment fingerprinting has been applied with reasonable success, the deployment of this method remains associated with many issues and limitations. Methods: Seminars and debates were organised during a 4-day Thematic School in October 2021 to come up with concrete suggestions to improve the design and implementation of tracing methods. Results: First, we suggest a better use of geomorphological information to improve study design. Researchers are invited to scrutinise all the knowledge available on the catchment of interest, and to obtain multiple lines of evidence regarding sediment source contributions. Second, we think that scientific knowledge could be improved with local knowledge and we propose a scale of participation describing different levels of involvement of locals in research. Third, we recommend the use of state-of-the-art sediment tracing protocols to conduct sampling, deal with particle size, and examine data before modelling and accounting for the hydro-meteorological context under investigation. Fourth, we promote best practices in modelling, including the importance of running multiple models, selecting appropriate tracers, and reporting on model errors and uncertainty. Fifth, we suggest best practices to share tracing data and samples, which will increase the visibility of the fingerprinting technique in geoscience. Sixth, we suggest that a better formulation of hypotheses could improve our knowledge about erosion and sediment transport processes in a more unified way. Conclusion: With the suggested improvements, sediment fingerprinting, which is interdisciplinary in nature, could play a major role to meet the current and future challenges associated with global change. Supplementary information: The online version contains supplementary material available at 10.1007/s11368-022-03203-1.

Indexed as

BasinCatchmentCritical zoneLocal knowledgeSediment fingerprintingSediment tracingSource-to-sinkWatershed

Identifiers

PMID35495078
PMCPMC9034742

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.