A review of data collection methods used to monitor the associations of wild species with marine aquaculture sites

Author:

English Greg1ORCID,Lawrence Michael J.1,McKindsey Christopher W.2,Lacoursière‐Roussel Anaïs1,Bergeron Hannah1,Gauthier Stéphane3,Wringe Brendan F.4,Trudel Marc1ORCID

Affiliation:

1. St Andrews Biological Station, Fisheries and Oceans Canada St Andrews Canada

2. Institut Maurice‐Lamontagne, Fisheries and Oceans Canada Mont‐Joli Canada

3. Institute of Ocean Sciences, Fisheries and Oceans Canada Sidney Canada

4. Bedford Institute of Oceanography, Fisheries and Oceans Canada Halifax Canada

Abstract

AbstractAquaculture contributes a significant portion of the global aquatic biomass destined for human consumption. Bivalve and marine finfish aquaculture operations require sea‐based farm sites that result in considerable interactions with the natural environment. The addition of feed waste and physical structures (e.g., net pens and longline mussel culture) can provide an attractive artificial reef for many species and studies have shown both positive and negative effects on the surrounding ecosystem due to wild species interactions with aquaculture sites. Assessing these interactions can be complex, depending on the local ecosystem, and several monitoring techniques have been used to accurately determine associations of wild finfish and decapods to marine farms. In this review, we assessed the main methods used to monitor aquaculture‐ecosystem interactions. The advantages and disadvantages of each technique are discussed and suggestions to mitigate shortfalls for future studies are outlined. It was evident that combining methodologies should be prioritised to lessen the impact of identified weaknesses of any given approach. Designing studies with complementary approaches may help attain robust data that can be used to further understand aquaculture‐ecosystem interactions and the underlying proximate mechanisms.

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Ecology,Aquatic Science

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