期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 719, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2020.137746
关键词
Untargeted; Sedimentomics; Sediment; Spatial analysis; Organic carbon
资金
- Natural Sciences and Engineering Research Council of Canada [RGPIN 217112-2013, RGPIN-2018-04248, RGPNS 444180-2013]
- Polar Continental Shelf Program
Sedimentomics is a new method used to investigate carbon cycling in sediment organic matter. This untargeted method, based on metabolomics workflows, was used to investigate the molecular composition of sediment organic matter across northern Canada (Nunavut and Northwest Territories). Unique lake districts were defined using unsupervised clustering based on changes in sediment organic carbon compositions across space. Supervised machine learning analyses were used to compare the lake districts to commonly used regional classification systems like the treeline, ecozones, and/or georegions. Treeline was the best model to explain the compositional variance of sediment organic carbon from lakes across Canada, dosely followed by the georegions model. A novel sediment metaphenomics analysis was also applied to determine how well environmental constraints explain the variation of sediment organic matter composition across a continent. We determined that sedimentomics is more informative than traditional measurements (such as total organic carbon) and can be integrated with other omits techniques. Crown Copyright (C) 2020 Published by Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据