Cargando…

eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals

Biodiversity monitoring delivers vital information to those making conservation decisions. Comprehensively measuring terrestrial biodiversity usually requires costly methods that can rarely be deployed at large spatial scales over multiple time periods, limiting conservation efficiency. Here we inve...

Descripción completa

Detalles Bibliográficos
Autores principales: Lyet, Arnaud, Pellissier, Loïc, Valentini, Alice, Dejean, Tony, Hehmeyer, Abigail, Naidoo, Robin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206079/
https://www.ncbi.nlm.nih.gov/pubmed/34131168
http://dx.doi.org/10.1038/s41598-021-90598-5
_version_ 1783708570454327296
author Lyet, Arnaud
Pellissier, Loïc
Valentini, Alice
Dejean, Tony
Hehmeyer, Abigail
Naidoo, Robin
author_facet Lyet, Arnaud
Pellissier, Loïc
Valentini, Alice
Dejean, Tony
Hehmeyer, Abigail
Naidoo, Robin
author_sort Lyet, Arnaud
collection PubMed
description Biodiversity monitoring delivers vital information to those making conservation decisions. Comprehensively measuring terrestrial biodiversity usually requires costly methods that can rarely be deployed at large spatial scales over multiple time periods, limiting conservation efficiency. Here we investigated the capacity of environmental DNA (eDNA) from stream water samples to survey terrestrial mammal diversity at multiple spatial scales within a large catchment. We compared biodiversity information recovered using an eDNA metabarcoding approach with data from a dense camera trap survey, as well as the sampling costs of both methods. Via the sampling of large volumes of water from the two largest streams that drained the study area, eDNA metabarcoding provided information on the presence and detection probabilities of 35 mammal taxa, 25% more than camera traps and for half the cost. While eDNA metabarcoding had limited capacity to detect felid species and provide individual-level demographic information, it is a cost-efficient method for large-scale monitoring of terrestrial mammals that can offer sufficient information to solve many conservation problems.
format Online
Article
Text
id pubmed-8206079
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-82060792021-06-16 eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals Lyet, Arnaud Pellissier, Loïc Valentini, Alice Dejean, Tony Hehmeyer, Abigail Naidoo, Robin Sci Rep Article Biodiversity monitoring delivers vital information to those making conservation decisions. Comprehensively measuring terrestrial biodiversity usually requires costly methods that can rarely be deployed at large spatial scales over multiple time periods, limiting conservation efficiency. Here we investigated the capacity of environmental DNA (eDNA) from stream water samples to survey terrestrial mammal diversity at multiple spatial scales within a large catchment. We compared biodiversity information recovered using an eDNA metabarcoding approach with data from a dense camera trap survey, as well as the sampling costs of both methods. Via the sampling of large volumes of water from the two largest streams that drained the study area, eDNA metabarcoding provided information on the presence and detection probabilities of 35 mammal taxa, 25% more than camera traps and for half the cost. While eDNA metabarcoding had limited capacity to detect felid species and provide individual-level demographic information, it is a cost-efficient method for large-scale monitoring of terrestrial mammals that can offer sufficient information to solve many conservation problems. Nature Publishing Group UK 2021-06-15 /pmc/articles/PMC8206079/ /pubmed/34131168 http://dx.doi.org/10.1038/s41598-021-90598-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lyet, Arnaud
Pellissier, Loïc
Valentini, Alice
Dejean, Tony
Hehmeyer, Abigail
Naidoo, Robin
eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals
title eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals
title_full eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals
title_fullStr eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals
title_full_unstemmed eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals
title_short eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals
title_sort edna sampled from stream networks correlates with camera trap detection rates of terrestrial mammals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206079/
https://www.ncbi.nlm.nih.gov/pubmed/34131168
http://dx.doi.org/10.1038/s41598-021-90598-5
work_keys_str_mv AT lyetarnaud ednasampledfromstreamnetworkscorrelateswithcameratrapdetectionratesofterrestrialmammals
AT pellissierloic ednasampledfromstreamnetworkscorrelateswithcameratrapdetectionratesofterrestrialmammals
AT valentinialice ednasampledfromstreamnetworkscorrelateswithcameratrapdetectionratesofterrestrialmammals
AT dejeantony ednasampledfromstreamnetworkscorrelateswithcameratrapdetectionratesofterrestrialmammals
AT hehmeyerabigail ednasampledfromstreamnetworkscorrelateswithcameratrapdetectionratesofterrestrialmammals
AT naidoorobin ednasampledfromstreamnetworkscorrelateswithcameratrapdetectionratesofterrestrialmammals