Metabarcoding arthropods in agroecosystems in Southern Ontario, Canada

By

Steinke, Dirk
Perez, Kate
Prosser, Sean
Sones, Jayme
Agda, Jireh
Dewaard, Stephanie
deWaard, Jeremy
Zakharov, Evgeny V.
Ratnasingham, Sujeevan
Hebert, Paul D N
Fryxell, John

Type

Article

Date of Publication

2025-6-19

Original Publication

Biodiversity data journal

Volume

13

Pages

1--15

Subjects

COI , DNA-based identifications , farmland biodiversity , Insects , Pests , pollinators

Contributed by

Pensoft Publishers

Language

English

Published by

Sofia Pensoft Publishers [2013]-

Identifiers

DOI: https://doi.org/10.3897/BDJ.13.e158459

 

Abstract

Metabarcoding can generate large numbers of georeferenced occurrence data from bulk samples at low cost. Its integration into the practice of agricultural invertebrate biomonitoring currently lacks both standard methods and example datasets that allow the identification of potential challenges and uncertainties.<br> For this study, we gathered metabarcoding data of terrestrial arthropods from Malaise trap samples across sites in southern Ontario, spanning a gradient from high production, intensely farmed areas to alternative land use farms with varying amounts of natural restoration of marginal lands. The result is one of the largest datasets available for comparison of how agricultural practices influence arthropod biodiversity.