Tracking an invasion front with environmental DNA.
Bayesian modeling
Carcinus maenas
European green crab
N-mixture modeling
environmental DNA
false-positive probability
invasion front
invasive species management
Journal
Ecological applications : a publication of the Ecological Society of America
ISSN: 1051-0761
Titre abrégé: Ecol Appl
Pays: United States
ID NLM: 9889808
Informations de publication
Date de publication:
06 2022
06 2022
Historique:
revised:
21
10
2021
received:
05
08
2021
accepted:
14
12
2021
pubmed:
8
2
2022
medline:
3
6
2022
entrez:
7
2
2022
Statut:
ppublish
Résumé
Data from environmental DNA (eDNA) may revolutionize environmental monitoring and management, providing increased detection sensitivity at reduced cost and survey effort. However, eDNA data are rarely used in decision-making contexts, mainly due to uncertainty around (1) data interpretation and (2) whether and how molecular tools dovetail with existing management efforts. We address these challenges by jointly modeling eDNA detection via qPCR and traditional trap data to estimate the density of invasive European green crab (Carcinus maenas), a species for which, historically, baited traps have been used for both detection and control. Our analytical framework simultaneously quantifies uncertainty in both detection methods and provides a robust way of integrating different data streams into management processes. Moreover, the joint model makes clear the marginal information benefit of adding eDNA (or any other) additional data type to an existing monitoring program, offering a path to optimizing sampling efforts for species of management interest. Here, we document green crab eDNA beyond the previously known invasion front and find that the value of eDNA data dramatically increases with low population densities and low traditional sampling effort, as is often the case at leading-edge locations. We also highlight the detection limits of the molecular assay used in this study, as well as scenarios under which eDNA sampling is unlikely to improve existing management efforts.
Substances chimiques
DNA, Environmental
0
Banques de données
figshare
['10.6084/m9.figshare.15117102.v2']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2561Informations de copyright
© 2022 The Ecological Society of America.
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