Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 719, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scitotenv.2020.137746
Keywords
Untargeted; Sedimentomics; Sediment; Spatial analysis; Organic carbon
Categories
Funding
- Natural Sciences and Engineering Research Council of Canada [RGPIN 217112-2013, RGPIN-2018-04248, RGPNS 444180-2013]
- Polar Continental Shelf Program
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available