Evrard Olivier, Batista Pedro V G, Company Jaume, Dabrin Aymeric, Foucher Anthony, Frankl Amaury, García-Comendador Julián, Huguet Arnaud, Lake Niels, Lizaga Ivan, Martínez-Carreras Núria, Navratil Oldrich, Pignol Cécile, Sellier Virginie
Laboratoire Des Sciences du Climat Et de L'Environnement (LSCE/IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
Water and Soil Resource Research, Institute for Geography, Universität Augsburg, Alter Postweg 118, 86159 Augsburg, Germany.
J Soils Sediments. 2022;22(6):1648-1661. doi: 10.1007/s11368-022-03203-1. Epub 2022 Apr 23.
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.
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.
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.
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.
The online version contains supplementary material available at 10.1007/s11368-022-03203-1.
确定沉积物指纹识别或溯源的最佳实践对于量化流域来源的沉积物贡献至关重要。尽管沉积物指纹识别已取得一定成功应用，但该方法的应用仍存在许多问题和局限性。
在2021年10月举行为期4天的专题学校期间组织了研讨会和辩论，以提出具体建议来改进溯源方法的设计和实施。
首先，我们建议更好地利用地貌信息来改进研究设计。邀请研究人员仔细审查有关感兴趣流域的所有现有知识，并获取关于沉积物来源贡献的多条证据。其次，我们认为科学知识可以通过当地知识得到改进，并且我们提出了一个参与度量表，描述当地人在研究中的不同参与程度。第三，我们建议使用最先进的沉积物溯源方案进行采样、处理粒径，并在建模之前检查数据以及考虑所研究的水文气象背景。第四，我们推广建模方面的最佳实践，包括运行多个模型、选择合适的示踪剂以及报告模型误差和不确定性的重要性。第五，我们建议分享溯源数据和样本的最佳实践，这将提高指纹识别技术在地球科学中的知名度。第六，我们建议更好地构建假设可以以更统一的方式增进我们对侵蚀和沉积物输运过程的了解。
通过所建议的改进，本质上具有跨学科性质的沉积物指纹识别可以在应对与全球变化相关的当前和未来挑战方面发挥重要作用。
在线版本包含可在10.1007/s11368-022-03203-1获取的补充材料。
