TY - JOUR
T1 - Fishing for mammals
T2 - Landscape-level monitoring of terrestrial and semi-aquatic communities using eDNA from riverine systems
AU - Sales, Naiara Guimarães
AU - McKenzie, Maisie B.
AU - Drake, Joseph
AU - Harper, Lynsey R.
AU - Browett, Samuel S.
AU - Coscia, Ilaria
AU - Wangensteen, Owen S.
AU - Baillie, Charles
AU - Bryce, Emma
AU - Dawson, Deborah A.
AU - Ochu, Erinma
AU - Hänfling, Bernd
AU - Lawson Handley, Lori
AU - Mariani, Stefano
AU - Lambin, Xavier
AU - Sutherland, Christopher
AU - McDevitt, Allan D.
N1 - Funding Information:
The eDNA component of this project was funded by the British Ecological Society (grant no. SR17/1214) and a University of Salford Internal Research Award awarded to A.D.M. J.D. was supported by the University of Massachusetts Organismal and Evolutionary Biology Research Grant and Spring 2018 Graduate School Fieldwork Grant. We thank Kristy Deiner for enlightening conversations about these results. We are grateful to Jerry Herman and Andrew Kitchener for the tissue samples from National Museums Scotland. Christine Gregory, Douglas Ross and Sarah Proctor provided water vole and otter information for sampling in the Peak District and Sara Peixoto provided sequence assemblies. We thank the various landowners for permission to sample on their property. We thank Brittany Mosher and the anonymous reviewers for significantly improving the manuscript. The authors declare that no conflict of interest exists.
Publisher Copyright:
© 2020 British Ecological Society
PY - 2020/3/10
Y1 - 2020/3/10
N2 - Environmental DNA (eDNA) metabarcoding has revolutionized biomonitoring in both marine and freshwater ecosystems. However, for semi-aquatic and terrestrial animals, the application of this technique remains relatively untested. We first assess the efficiency of eDNA metabarcoding in detecting semi-aquatic and terrestrial mammals in natural lotic ecosystems in the UK by comparing sequence data recovered from water and sediment samples to the mammalian communities expected from historical data. Secondly, using occupancy modelling we compared the detection efficiency of eDNA metabarcoding to multiple conventional non-invasive survey methods (latrine surveys and camera trapping). eDNA metabarcoding detected a large proportion of the expected mammalian community within each area. Common species in the areas were detected at the majority of sites. Several key species of conservation concern in the UK were detected by eDNA sampling in areas where authenticated records do not currently exist, but potential false positives were also identified. Water-based eDNA metabarcoding provided comparable results to conventional survey methods in per unit of survey effort for three species (water vole, field vole and red deer) using occupancy models. The comparison between survey ‘effort’ to reach a detection probability of ≥.95 revealed that 3–6 water replicates would be equivalent to 3–5 latrine surveys and 5–30 weeks of single camera deployment, depending on the species. Synthesis and applications. eDNA metabarcoding can be used to generate an initial ‘distribution map’ of mammalian diversity at the landscape level. If conducted during times of peak abundance, carefully chosen sampling points along multiple river courses provide a reliable snapshot of the species that are present in a catchment area. In order to fully capture solitary, rare and invasive species, we would currently recommend the use of eDNA metabarcoding alongside other non-invasive surveying methods (i.e. camera traps) to maximize monitoring efforts.
AB - Environmental DNA (eDNA) metabarcoding has revolutionized biomonitoring in both marine and freshwater ecosystems. However, for semi-aquatic and terrestrial animals, the application of this technique remains relatively untested. We first assess the efficiency of eDNA metabarcoding in detecting semi-aquatic and terrestrial mammals in natural lotic ecosystems in the UK by comparing sequence data recovered from water and sediment samples to the mammalian communities expected from historical data. Secondly, using occupancy modelling we compared the detection efficiency of eDNA metabarcoding to multiple conventional non-invasive survey methods (latrine surveys and camera trapping). eDNA metabarcoding detected a large proportion of the expected mammalian community within each area. Common species in the areas were detected at the majority of sites. Several key species of conservation concern in the UK were detected by eDNA sampling in areas where authenticated records do not currently exist, but potential false positives were also identified. Water-based eDNA metabarcoding provided comparable results to conventional survey methods in per unit of survey effort for three species (water vole, field vole and red deer) using occupancy models. The comparison between survey ‘effort’ to reach a detection probability of ≥.95 revealed that 3–6 water replicates would be equivalent to 3–5 latrine surveys and 5–30 weeks of single camera deployment, depending on the species. Synthesis and applications. eDNA metabarcoding can be used to generate an initial ‘distribution map’ of mammalian diversity at the landscape level. If conducted during times of peak abundance, carefully chosen sampling points along multiple river courses provide a reliable snapshot of the species that are present in a catchment area. In order to fully capture solitary, rare and invasive species, we would currently recommend the use of eDNA metabarcoding alongside other non-invasive surveying methods (i.e. camera traps) to maximize monitoring efforts.
KW - biomonitoring
KW - camera trapping
KW - eDNA metabarcoding
KW - latrine surveys
KW - mammals
KW - occupancy modelling
KW - rivers
UR - http://www.scopus.com/inward/record.url?scp=85081263028&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081263028&partnerID=8YFLogxK
U2 - 10.1111/1365-2664.13592
DO - 10.1111/1365-2664.13592
M3 - Article
AN - SCOPUS:85081263028
SN - 0021-8901
VL - 57
SP - 707
EP - 716
JO - Journal of Applied Ecology
JF - Journal of Applied Ecology
IS - 4
ER -