Predicting the impacts of escaped farmed atlantic salmon on wild salmon populations

Freya Keyser, Brendan F. Wringe, Nicholas W. Jeffery, J. Brian Dempson, Steven Duffy, Ian R. Bradbury

Résultat de recherche: Articleexamen par les pairs

40 Citations (Scopus)

Résumé

The escape of Atlantic salmon (Salmo salar) from aquaculture facilities can result in both negative genetic and ecological interactions with wild populations, yet the ability to predict the associated risk to wild populations has remained elusive. Here we assess the potential of a spatiotemporal database of aquaculture facility locations, production estimates, and escape events to predict the distribution of escaped farmed salmon and genetic impacts on wild populations in the Northwest Atlantic. Industry production data, reported escape events, and in-river detections of escaped farmed salmon were collected from across the Northwest Atlantic. Genetic estimates of impact were obtained using single nucleotide polymorphisms (95 loci) representing aquaculture and wild salmon throughout the region (30 populations, 3048 individuals). Both the number of escaped farmed salmon detected at counting facilities and the magnitude of genetic impacts were positively correlated with a cumulative spatial measure of aquaculture production. Our results suggest that the risk of escapees and genetic introgression from wild–farmed salmon interactions can be assessed using information on farm production characteristics. This represents a first step in predicting the impact of existing cage-based farms on wild Atlantic salmon.

Langue d'origineEnglish
Pages (de-à)506-512
Nombre de pages7
JournalCanadian Journal of Fisheries and Aquatic Sciences
Volume75
Numéro de publication4
DOI
Statut de publicationPublished - 2018

Note bibliographique

Funding Information:
The authors thank all those individuals that contributed data, including Edward Parker, Troy Lyons, David Bean, Gerald (Jeff) Cline, Geoff Perry, Christopher Hendry, Jon Carr, Graham Chafe, and Ross Jones. The authors thank the associate editor of the Canadian Journal for Fisheries and Aquaculture Sciences, as well as two anonymous reviewers for helpful and insightful comments on previous versions of this manuscript. For the genetic analysis, staff of DFO Salmonids Section Newfoundland Region were responsible for the collection of juvenile tissue samples, and the staff of the Aquatic Biotechnology Laboratory of the Bedford Institute of Oceanography are thanked for their work in the SNP genotyping. This study was funded through the Program for Aquaculture Regulatory Research of Fisheries and Oceans Canada and the Genomics Research and Development Initiative of Canada.

Publisher Copyright:
© 2018, Canadian Science Publishing. All rights reserved.

ASJC Scopus Subject Areas

  • Ecology, Evolution, Behavior and Systematics
  • Aquatic Science

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