Miss Holly Broadhurst H.A.Broadhurst1@salford.ac.uk
Research Fellow
Mapping differences in mammalian distributions and diversity using environmental DNA from rivers
Broadhurst, HA; Gregory, LM; Bleakley, EK; Perkins, JC; Lavin, JV; Bolton, P; Browett, S; Howe, CV; Singleton, N; Tansley, D; Guimarães Sales, N; McDevitt, A
Authors
LM Gregory
EK Bleakley
JC Perkins
JV Lavin
P Bolton
S Browett
CV Howe
N Singleton
D Tansley
N Guimarães Sales
A McDevitt
Contributors
S Sabater
Editor
Abstract
Finding more efficient ways to monitor and estimate the diversity of mammalian communities is a major step towards their management and conservation. Environmental DNA (eDNA) from river water has recently been shown to be a viable method for biomonitoring mammalian communities. Most of the studies to date have focused on the potential for eDNA to detect individual species, with little focus on describing patterns of community diversity and structure. Here, we first focus on the sampling effort required to reliably map the diversity and distribution of semi-aquatic and terrestrial mammals and allow inferences of community structure surrounding two rivers in southeastern England. Community diversity and composition was then assessed based on species richness and β-diversity, with differences between communities partitioned into nestedness and turnover, and the sampling effort required to rapidly detect semi-aquatic and terrestrial species was evaluated based on species accumulation curves and occupancy modelling. eDNA metabarcoding detected 25 wild mammal species from five orders, representing the vast majority (82%) of the species expected in the area. The required sampling effort varied between orders, with common species (generally rodents, deer and lagomorphs) more readily detected, with carnivores detected less frequently. Measures of species richness differed between rivers (both overall and within each mammalian order) and patterns of β-diversity revealed the importance of species replacement in sites within each river, against a pattern of species loss between the two rivers. eDNA metabarcoding demonstrated its capability to rapidly detect mammal species, allowing inferences of community composition that will better inform future sampling strategies for this Class. Importantly, this study highlights the potential use of eDNA data for investigating mammalian community dynamics over different spatial scales.
Citation
Broadhurst, H., Gregory, L., Bleakley, E., Perkins, J., Lavin, J., Bolton, P., …McDevitt, A. (2021). Mapping differences in mammalian distributions and diversity using environmental DNA from rivers. Science of the Total Environment, 801, 149724. https://doi.org/10.1016/j.scitotenv.2021.149724
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 13, 2021 |
Online Publication Date | Aug 18, 2021 |
Publication Date | Dec 20, 2021 |
Deposit Date | Aug 31, 2021 |
Publicly Available Date | Aug 18, 2022 |
Journal | Science of the Total Environment |
Print ISSN | 0048-9697 |
Electronic ISSN | 1879-1026 |
Publisher | Elsevier |
Volume | 801 |
Pages | 149724 |
DOI | https://doi.org/10.1016/j.scitotenv.2021.149724 |
Publisher URL | https://doi.org/10.1016/j.scitotenv.2021.149724 |
Related Public URLs | https://www.journals.elsevier.com/science-of-the-total-environment |
Files
STOTEN-D-21-13538_USIR.pdf
(879 Kb)
PDF
Licence
http://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
UK DNA working group eDNA week, January 2022
(2022)
Journal Article
Primer biases in the molecular assessment of diet in multiple insectivorous mammals
(2021)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search