Keele Research Repository
Explore the Repository
Seymour, M, Edwards, FK, Cosby, BJ, Bista, I, Scarlett, PM, Brailsford, FL, Glanville, HC, de Bruyn, M, Carvalho, GR and Creer, S (2021) Environmental DNA provides higher resolution assessment of riverine biodiversity and ecosystem function via spatio-temporal nestedness and turnover partitioning. Communications Biology, 4 (1). pp. 1-12. ISSN 2399-3642
Seymour_etal_MolEcol_2021.pdf - Published Version
Download (7MB) | Preview
Abstract
<jats:title>Abstract</jats:title><jats:p>Rapidly assessing biodiversity is essential for environmental monitoring; however, traditional approaches are limited in the scope needed for most ecological systems. Environmental DNA (eDNA) based assessment offers enhanced scope for assessing biodiversity, while also increasing sampling efficiency and reducing processing time, compared to traditional methods. Here we investigated the effects of landuse and seasonality on headwater community richness and functional diversity, via spatio-temporal dynamics, using both eDNA and traditional sampling. We found that eDNA provided greater resolution in assessing biodiversity dynamics in time and space, compared to traditional sampling. Community richness was seasonally linked, peaking in spring and summer, with temporal turnover having a greater effect on community composition compared to localized nestedness. Overall, our assessment of ecosystem function shows that community formation is driven by regional resource availability, implying regional management requirements should be considered. Our findings show that eDNA based ecological assessment is a powerful, rapid and effective assessment strategy that enables complex spatio-temporal studies of community diversity and ecosystem function, previously infeasible using traditional methods.</jats:p>
Item Type: | Article |
---|---|
Additional Information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Subjects: | Q Science > Q Science (General) Q Science > QR Microbiology |
Depositing User: | Symplectic |
Date Deposited: | 04 Aug 2021 08:22 |
Last Modified: | 04 Aug 2021 08:22 |
URI: | https://eprints.keele.ac.uk/id/eprint/9841 |