Comparative assessment of live cyprinid and salmonid movement networks in England and Wales.

Autor: Tidbury HJ; Centre for Environment, Fisheries and Aquaculture Science, Weymouth, DT4 8UB, UK. Electronic address: hannah.tidbury@cefas.co.uk., Ryder D; Centre for Environment, Fisheries and Aquaculture Science, Weymouth, DT4 8UB, UK., Thrush MA; Centre for Environment, Fisheries and Aquaculture Science, Weymouth, DT4 8UB, UK., Pearce F; Southern Water, Southern House, Yeoman Road, Worthing, BN13 3NX, UK., Peeler EJ; Centre for Environment, Fisheries and Aquaculture Science, Weymouth, DT4 8UB, UK., Taylor NGH; Centre for Environment, Fisheries and Aquaculture Science, Weymouth, DT4 8UB, UK.
Jazyk: angličtina
Zdroj: Preventive veterinary medicine [Prev Vet Med] 2020 Dec; Vol. 185, pp. 105200. Date of Electronic Publication: 2020 Nov 06.
DOI: 10.1016/j.prevetmed.2020.105200
Abstrakt: Disease poses a significant threat to aquaculture. While there are a number of factors contributing to pathogen transmission risk, movement of live fish is considered the most important. Understanding live fish movement patterns for different aquaculture sectors is therefore crucial to predicting disease occurrence and necessary for the development of effective, risk-based biosecurity, surveillance and containment policies. However, despite this, our understanding of live movement patterns of key aquaculture species, namely salmonids and cyprinids, within England and Wales remains limited. In this study, networks reflecting live fish movements associated with the cyprinid and salmonid sectors in England and Wales were constructed. The structure, composition and key attributes of each network were examined and compared to provide insight into the nature of trading patterns and connectedness, as well as highlight sites at a high risk of spreading disease. Connectivity at both site and catchment level was considered to facilitate understanding at different resolutions, providing further insight into disease outbreaks, with industry wide implications. The study highlighted that connectivity through live fish movements was extensive for both industries. The salmonid and cyprinid networks comprised 2533 and 3645 nodes, with a network density of 5.81 × 10 -4 and 4.2 × 10 -4 , respectively. The maximum network reach of 2392 in the salmonid network was higher, both in absolute terms and as a proportion of the overall network, compared to maximum network reach of 2085 in the cyprinid network. However, in contrast, the number of sites in the cyprinid network with a network reach greater than one was 513, compared to 171 in the salmonid network. Patterns of connectivity indicated potential for more frequent yet smaller scale disease outbreaks in the cyprinid industry and less frequent but larger scale outbreaks in the salmonid industry. Further, high connectivity between river catchments within both networks was shown, posing challenges for zoning at the catchment level for the purpose of disease management. In addition to providing insight into pathogen transmission and epidemic potential within the salmonid and cyprinid networks, the study highlights the utility of network analysis, and the value of accessible, accurate live fish movement data in this context. The application of outputs from this study, and network analysis methodology, to inform future disease surveillance and control policies, both within England and Wales and more broadly, is discussed.
(Copyright © 2020. Published by Elsevier B.V.)
Databáze: MEDLINE
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