nerc.ac.uk

Environmental DNA provides higher resolution assessment of riverine biodiversity and ecosystem function via spatio-temporal nestedness and turnover partitioning

Seymour, Mathew; Edwards, Francois K. ORCID: https://orcid.org/0000-0001-9875-6663; Cosby, Bernard J. ORCID: https://orcid.org/0000-0001-5645-3373; Bista, Iliana; Scarlett, Peter M.; Brailsford, Francesca L.; Glanville, Helen C.; de Bruyn, Mark; Carvalho, Gary R.; Creer, Simon. 2021 Environmental DNA provides higher resolution assessment of riverine biodiversity and ecosystem function via spatio-temporal nestedness and turnover partitioning. Communications Biology, 4, 512. 12, pp. https://doi.org/10.1038/s42003-021-02031-2

Before downloading, please read NORA policies.
[img]
Preview
Text
N530511JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (7MB) | Preview

Abstract/Summary

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.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1038/s42003-021-02031-2
UKCEH and CEH Sections/Science Areas: Soils and Land Use (Science Area 2017-)
Water Resources (Science Area 2017-)
ISSN: 2399-3642
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
Additional Keywords: community ecology, freshwater ecology
NORA Subject Terms: Ecology and Environment
Date made live: 15 Jun 2021 11:25 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/530511

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...