Scalable environmental DNA methods reveal strong associations between landscape-scale forest habitat and insect richness
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Abstract
While aquatic environmental DNA (eDNA) methods have reached relative maturity, terrestrial eDNA methods are nascent and have yet to reach widespread use. Field-ready applications require eDNA survey methods where samples are easy to collect by inexperienced practitioners, easy to transport between the field and lab, and easy to process thereafter. Here, we demonstrate methods that satisfy these requirements and show strong potential for characterizing diverse terrestrial eDNA samples collected from flower and leaf surfaces.
We used novel methods to collect and process 236 flower eDNA samples and 21 leaf surface eDNA samples, obtaining 2,228 Arthropoda eDNA detections spanning 175 families using amplicon sequencing of two genetic markers.
Detected taxa were diverse and included numerous groups of conservation concern, such as bees (Hymenoptera; Anthophila, 32 genera spanning 5 families) and Lepidoptera (209 genera from 21 families). Data reveal strong associations between insect community richness and remotely sensed measures of forest habitat, providing a quantitative perspective of relevance to insect conservation.
It is increasingly clear that a variety of organisms readily disperse eDNA throughout the environment, supporting the notion that eDNA will be a powerful tool for characterizing species distributions and monitoring at-risk species. However, we conclude that researchers seeking to characterize fine-scale habitat associations or plant-pollinator interactions using eDNA will need to carefully design studies with appropriate field controls, such as the leaf surface eDNA samples collected here.
| Publication type | Preprint |
|---|---|
| Publication Subtype | Preprint |
| Title | Scalable environmental DNA methods reveal strong associations between landscape-scale forest habitat and insect richness |
| Series title | BioRxiv |
| DOI | 10.1101/2025.04.01.645213 |
| Publication Date | July 16, 2025 |
| Year Published | 2025 |
| Language | English |
| Publisher | BioRxiv |
| Contributing office(s) | Eastern Ecological Science Center |
| Description | 24 p. |