Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes.
Biodiversity assessment
Biomonitoring
Environmental DNA
Metabarcoding
Spatial ecology
Journal
Oecologia
ISSN: 1432-1939
Titre abrégé: Oecologia
Pays: Germany
ID NLM: 0150372
Informations de publication
Date de publication:
Aug 2023
Aug 2023
Historique:
received:
04
11
2022
accepted:
22
07
2023
medline:
4
9
2023
pubmed:
10
8
2023
entrez:
9
8
2023
Statut:
ppublish
Résumé
Monitoring of terrestrial and aquatic species assemblages at large spatial scales based on environmental DNA (eDNA) has the potential to enable evidence-based environmental policymaking. The spatial coverage of eDNA-based studies varies substantially, and the ability of eDNA metabarcoding to capture regional biodiversity remains to be assessed; thus, questions about best practices in the sampling design of entire landscapes remain open. We tested the extent to which eDNA sampling can capture the diversity of a region with highly heterogeneous habitat patches across a wide elevation gradient for five days through multiple hydrological catchments of the Swiss Alps. Using peristaltic pumps, we filtered 60 L of water at five sites per catchment for a total volume of 1800 L. Using an eDNA metabarcoding approach focusing on vertebrates and plants, we detected 86 vertebrate taxa spanning 41 families and 263 plant taxa spanning 79 families across ten catchments. For mammals, fishes, amphibians and plants, the detected taxa covered some of the most common species in the region according to long-term records while including a few more rare taxa. We found marked turnover among samples from distinct elevational classes indicating that the biological signal in alpine rivers remains relatively localised and is not aggregated downstream. Accordingly, species compositions differed between catchments and correlated with catchment-level forest and grassland cover. Biomonitoring schemes based on capturing eDNA across rivers within biologically integrated catchments may pave the way toward a spatially comprehensive estimation of biodiversity.
Identifiants
pubmed: 37558733
doi: 10.1007/s00442-023-05428-4
pii: 10.1007/s00442-023-05428-4
pmc: PMC10475001
doi:
Substances chimiques
DNA, Environmental
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
699-713Informations de copyright
© 2023. The Author(s).
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