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Are Environmental DNA Methods Ready for Aquatic Invasive Species Management?
Sepulveda, Adam J; Nelson, Nanette M; Jerde, Christopher L; Luikart, Gordon.
Affiliation
  • 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.
  • Nelson NM; Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA.
  • Jerde CL; Marine Science Institute, University of California, Santa Barbara, CA, 93106, USA.
  • Luikart G; Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA.
Trends Ecol Evol ; 35(8): 668-678, 2020 08.
Article in En | MEDLINE | ID: mdl-32371127
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Introduced Species / DNA, Environmental Type of study: Guideline / Prognostic_studies Language: En Journal: Trends Ecol Evol Year: 2020 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Introduced Species / DNA, Environmental Type of study: Guideline / Prognostic_studies Language: En Journal: Trends Ecol Evol Year: 2020 Document type: Article