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Integrating physiology and environmental dynamics to operationalize environmental DNA (eDNA) as a means to monitor freshwater macro‐organism abundance

Matthew C. Yates; Melania E. Cristescu; Alison M. Derry
Molecular Ecology · Vol. 30, Issue 24 · pp. 6531-6550 · 2021

Abstract

Research has demonstrated consistent positive correlations between organism abundance and absolute environmental DNA (eDNA) concentrations. Robust correlations in laboratory experiments indicate strong functional links, suggesting the potential for eDNA to monitor organism abundance in nature. However, correlations between absolute eDNA concentrations and organism abundance in nature tend to be weaker because myriad biotic and abiotic factors influence steady‐state eDNA concentrations, decoupling its direct functional link with abundance. Additional technical challenges can also weaken correlations between relative organism abundance and relative eDNA data derived from metabarcoding. Future research must account for these factors to improve the inference of organism abundance from eDNA, including integrating the effects of organism physiology on eDNA production, eDNA dynamics in lentic/lotic systems, and key environmental parameters that impact estimated steady‐state concentrations. Additionally, it is critical to manage expectations surrounding the accuracy and precision that eDNA can provide – eDNA, for example, cannot provide abundance estimates comparable to intensively managed freshwater fisheries that enumerate every individual fish. Recent developments, however, are encouraging. Current methods could provide meaningful information regarding qualitative conservation thresholds and emergent research has demonstrated that eDNA concentrations in natural ecosystems can provide rough quantitative estimates of abundance, particularly when models integrate physiology and/or eDNA dynamics. Operationalizing eDNA to infer abundance will probably require more than simple correlations with organism biomass/density. Nevertheless, the future is promising – models that integrate eDNA dynamics in nature could represent an effective means to infer abundance, particularly when traditional methods are considered too “costly” or difficult to obtain.

Bibliographic Information

JournalMolecular Ecology
PublisherWiley
Publication Date2021-12-01
Publication Year2021
Volume30
Issue24
Pages6531-6550
Document TypeJournal Article
Print ISSN0962-1083
eISSN1365-294X
DOI10.1111/mec.16202
SubjectEcology & Organismal Biology

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NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/1365294X
Publisher PageOpen Publisher Page
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