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Plant biodiversity assessment through soil eDNA reflects temporal and local diversity

Authors :
María Ariza
Bertrand Fouks
Quentin Mauvisseau
Rune Halvorsen
Inger Greve Alsos
Hugo J. deBoer
Source :
Methods in Ecology and Evolution, Vol 14, Iss 2, Pp 415-430 (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract Several studies have shown the potential of eDNA‐based proxies for plant identification, but little is known about their spatial and temporal resolution. This limits its use for plant biodiversity assessments and monitoring of vegetation responses to environmental changes. Here we calibrate the temporal and spatial plant signals detected with soil eDNA surveys by comparing with a standard visual above‐ground vegetation survey. Our approach compares vegetation in an old‐growth boreal forest in southern Norway, surveyed in 100 permanent 1‐m2 plots seven times over a 30‐year period, with a single soil eDNA metabarcoding‐based survey from soil samples collected at the same 100 plots in the year of the last vegetation survey. On average, 60% and 10% of the vascular plants and bryophytes recorded across all vegetation surveys were detected by soil eDNA. Taxa detected by soil eDNA were more representative for the local taxa pool than for the specific plot, and corresponded to those surveyed over the 30‐year period although most closely matched the current taxa composition. Soil eDNA detected abundant taxa better than rare ones although both rare taxa and taxa unrecorded by the visual survey were detected. Our study highlights the potential of soil eDNA assessments for monitoring of vegetation responses over broad spatial and temporal scales. The method's ability to detect abundant taxa makes it suitable for assessment of vegetation composition in a specific area and for broad‐scale plant diversity assessments.

Details

Language :
English
ISSN :
2041210X
Volume :
14
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Methods in Ecology and Evolution
Publication Type :
Academic Journal
Accession number :
edsdoj.bf5af92cf102482cb90106be882b2384
Document Type :
article
Full Text :
https://doi.org/10.1111/2041-210X.13865