Published April 17, 2023 | Version v1
Dataset Open

Otterly delicious: Spatiotemporal variation in the diet of a recovering population of Eurasian otters (Lutra lutra) revealed through DNA metabarcoding and morphological analysis of prey remains

  • 1. Cardiff University
  • 2. Newcastle University
  • 3. Estación Biológica de Doñana
  • 4. University of Exeter

Description

Eurasian otters are apex predators of freshwater ecosystems and a recovering species across much of their European range; investigating the dietary variation of this predator over time and space therefore provides opportunities to identify changes in freshwater trophic interactions and factors influencing the conservation of otter populations. Here we sampled faeces from 300 dead otters across England and Wales between 2007 and 2016, conducting both morphological analysis of prey remains and dietary DNA metabarcoding. Comparison of these methods showed that greater taxonomic resolution and breadth could be achieved using DNA metabarcoding but combining data from both methodologies gave the most comprehensive dietary description. All otter demographics exploited a broad range of taxa and variation likely reflected changes in prey distributions and availability across the landscape. This study provides novel insights into the trophic generalism and adaptability of otters across Britain, which is likely to have aided their recent population recovery, and may increase their resilience to future environmental changes.

Notes

Funding provided by: Knowledge Economy Skills Scholarships*
Crossref Funder Registry ID:
Award Number:

Files

Combined_Heat_Chart.csv

Files (1.8 MB)

Name Size Download all
md5:f57e1ee7602953dc6edc51bf46092d64
398.0 kB Download
md5:023234e2526f6539f5af08bc2b8dac88
22.9 kB Preview Download
md5:449eff6a6da4e31131e3c11f74aea6db
33.4 kB Preview Download
md5:b6a5de74a2bb143272fbe30277c3acdc
482.0 kB Download
md5:da193f70b1647c57e31c79b1992fde77
330.7 kB Download
md5:085bd350b4af31ff8a9842e9dea3a403
187.5 kB Download
md5:b230d052e5de461b83cb3810b15785a8
53.5 kB Preview Download
md5:74b20cdaf785b8e532768b47c4a83e80
14.2 kB Preview Download
md5:78e48963028a23d62a7fd24bf835d485
16.4 kB Preview Download
md5:19723ea0a8374b77c4dc13334d867cf5
26.9 kB Preview Download
md5:8968a34b97268844adeff510cbedcfbe
50.1 kB Preview Download
md5:09d896526e88a36813d471963ad26bb6
160.4 kB Preview Download
md5:841d346c07f3a9bc07300cf0f75e5134
15.0 kB Preview Download

Additional details

Related works

Is cited by
10.22541/au.167271428.88169846/v1 (DOI)
Is supplemented by
10.5061/dryad.2jm63xsp4 (DOI)