Are Environmental DNA Methods Ready for Aquatic Invasive Species Management?

decision-support tree eDNA genetic monitoring invasive species surveillance nonnative nonindigenous species risk tolerance uncertainty

Journal

Trends in ecology & evolution
ISSN: 1872-8383
Titre abrégé: Trends Ecol Evol
Pays: England
ID NLM: 8805125

Informations de publication

Date de publication:
08 2020
Historique:
received: 26 09 2019
revised: 27 03 2020
accepted: 30 03 2020
pubmed: 7 5 2020
medline: 21 10 2020
entrez: 7 5 2020
Statut: ppublish

Résumé

Multiple studies have demonstrated environmental (e)DNA detections of rare and invasive species. However, invasive species managers struggle with using eDNA results because detections might not indicate species presence. We evaluated whether eDNA methods have matured to a point where they can be widely applied to aquatic invasive species management. We have found that eDNA methods meet legal standards for being admissible as evidence in most courts, suggesting eDNA method reliability is not the problem. Rather, we suggest the interface between results and management needs attention since there are few tools for integrating uncertainty into decision-making. Solutions include decision-support trees based on molecular best practices that integrate the temporal and spatial trends in eDNA positives relative to human risk tolerance.

Identifiants

pubmed: 32371127
pii: S0169-5347(20)30089-6
doi: 10.1016/j.tree.2020.03.011
pii:
doi:

Substances chimiques

DNA, Environmental 0
DNA 9007-49-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

668-678

Informations de copyright

Published by Elsevier Ltd.

Auteurs

Adam J Sepulveda (AJ)

U.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way Suite 2, Bozeman, MT 59715, USA. Electronic address: asepulveda@usgs.gov.

Nanette M Nelson (NM)

Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA.

Christopher L Jerde (CL)

Marine Science Institute, University of California, Santa Barbara, CA, 93106, USA.

Gordon Luikart (G)

Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA.

Articles similaires

Humans Middle Aged Female Male Surveys and Questionnaires
Adolescent Child Female Humans Male
India Carbon Sequestration Environmental Monitoring Carbon Biomass

Classifications MeSH