Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), Unité Mixte de Recherche 8212 (CEA/CNRS/UVSQ), Université Paris-Saclay, Gif-sur-Yvette, France.
Environmental Monitoring and Science Division (EMSD), Alberta Environment and Parks (AEP), Calgary, Alberta, Canada.
Sci Total Environ. 2019 May 15;665:873-881. doi: 10.1016/j.scitotenv.2019.02.191. Epub 2019 Feb 13.
An excessive supply of sediment is observed in numerous rivers across the world where it leads to deleterious impacts. Information on the sources delivering this material to waterbodies is required to design effective management measures, and sediment tracing or fingerprinting techniques are increasingly used to quantify the amount of sediment derived from different sources. However, the current methods used to identify the land use contributions to sediment have a limited discrimination power. Here, we investigated the potential of environmental DNA (eDNA) to provide more detailed information on the plant species found in sediment source areas as a next generation fingerprint. To this end, flood sediment deposits (n = 12) were collected in 2017 in two catchments impacted by the Fukushima radioactive fallout along differing river sections draining forests, cropland or a mix of both land uses. Conventional fingerprints (i.e. fallout radionuclides and organic matter properties) were also measured in these samples. The conventional fingerprint model results showed that most sediment samples contained a dominant proportion of subsoil material. Nevertheless, the eDNA information effectively discriminated the three above-mentioned groups of sediment, with the dominance of tree, shrub and fern species in sediment sampled in rivers draining forests versus a majority of grass, algae and cultivated plant species in sediment collected in rivers draining cropland. Based on these encouraging results, future research should examine the potential of eDNA in mixed land use catchments where the contribution of topsoil to sediment dominates and where the cultivation of land has not been abandoned in order to better characterize the memory effect of eDNA in soils and sediment.
世界上许多河流的沉积物供应过剩,导致了有害影响。为了设计有效的管理措施,需要了解将这些物质输送到水体的来源的信息,而沉积物示踪或指纹技术越来越多地用于量化不同来源的沉积物数量。然而,目前用于识别沉积物土地利用贡献的方法的区分能力有限。在这里,我们研究了环境 DNA(eDNA)在提供有关沉积物源区植物物种的更详细信息方面的潜力,作为下一代指纹。为此,我们于 2017 年在两个受福岛放射性沉降物影响的流域中收集了洪水沉积物(n=12),这些流域的不同河道分别排放森林、农田或两者混合的土地利用。还在这些样品中测量了常规指纹(即放射性核素和有机质特性)。常规指纹模型结果表明,大多数沉积物样品含有主要比例的底土物质。然而,eDNA 信息有效地将上述三种沉积物组区分开来,在森林流域中采集的沉积物中树木、灌木和蕨类植物占主导地位,而在农田流域中采集的沉积物中则以草、藻类和栽培植物占主导地位。基于这些令人鼓舞的结果,未来的研究应该研究在混合土地利用流域中 eDNA 的潜力,在这些流域中,土壤对沉积物的贡献占主导地位,并且土地的耕种尚未被放弃,以便更好地描述土壤和沉积物中 eDNA 的记忆效应。