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Amazonian mammal monitoring using aquatic environmental DNA
- Publication Year :
- 2020
- Publisher :
- Authorea, Inc., 2020.
-
Abstract
- Environmental DNA (eDNA) metabarcoding has emerged as one of the most efficient methods to assess aquatic species presence. While the method can in theory be used to investigate nonaquatic fauna, its development for inventorying semi-aquatic and terrestrial fauna is still at an early stage. Here we investigated the potential of aquatic eDNA metabarcoding for inventorying mammals in Neotropical environments, be they aquatic, semi-aquatic or terrestrial. We collected aquatic eDNA in 96 sites distributed along three Guianese watersheds and compared our inventories to expected species distributions and field observations derived from line transects located throughout French Guiana. Species occurrences and emblematic mammalian fauna richness patterns were consistent with the expected distribution of fauna and our results revealed that aquatic eDNA metabarcoding brings additional data to line transect samples for diurnal nonaquatic (terrestrial and arboreal) species. Aquatic eDNA also provided data on species not detectable in line transect surveys such as semi-aquatic, aquatic and nocturnal terrestrial and arboreal species. Although the application of eDNA to inventory mammals still needs some developments to optimize sampling efficiency, it can now be used as a complement to traditional surveys.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Arboreal locomotion
Sampling efficiency
Amazonian
Fauna
Biology
010603 evolutionary biology
01 natural sciences
03 medical and health sciences
Aquatic species
Genetics
Animals
DNA Barcoding, Taxonomic
Environmental DNA
Transect
Ecology, Evolution, Behavior and Systematics
Mammals
Ecology
Water
Biodiversity
DNA, Environmental
French Guiana
030104 developmental biology
Geography
Mammal
Species richness
Biotechnology
Environmental Monitoring
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....1f90b2b0d9a05a0c0c17182df8044452