Temporal variability in sea lice population connectivity and implications for regional management protocols

In modern large-scale salmon aquaculture, sites are managed within spatial units. In Scottish waters, several different definitions are used: operator-defined ‘Farm Management Areas’ (FMAs), regulator-defined ‘Disease Management Areas’ (DMAs) and ‘Fish Health Management Reporting areas’ (FHMRAs). FM...

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Autores principales:	TP Adams, D Aleynik, KD Black
Formato:	article
Lenguaje:	EN
Publicado:	Inter-Research 2016
Materias:	Aquaculture. Fisheries. Angling SH1-691 Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/99b2cfd50f0042338d35ce5c9a06002d
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id	oai:doaj.org-article:99b2cfd50f0042338d35ce5c9a06002d
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spelling	oai:doaj.org-article:99b2cfd50f0042338d35ce5c9a06002d2021-11-11T11:06:51ZTemporal variability in sea lice population connectivity and implications for regional management protocols1869-215X1869-753410.3354/aei00203https://doaj.org/article/99b2cfd50f0042338d35ce5c9a06002d2016-10-01T00:00:00Zhttps://www.int-res.com/abstracts/aei/v8/p585-596/https://doaj.org/toc/1869-215Xhttps://doaj.org/toc/1869-7534In modern large-scale salmon aquaculture, sites are managed within spatial units. In Scottish waters, several different definitions are used: operator-defined ‘Farm Management Areas’ (FMAs), regulator-defined ‘Disease Management Areas’ (DMAs) and ‘Fish Health Management Reporting areas’ (FHMRAs). FMAs balance many operational requirements, while the sole purpose of DMAs is to limit the spread of disease. FHMRAs are based on historical wild fish monitoring areas. One objective of these units is to monitor and limit the spread of water-borne agents such as infectious salmon anaemia and parasites such as sea lice, which present a perennial economic and ecological challenge. However, unit boundaries are either based on simplified hydrodynamic assumptions, or do not incorporate such information. Their effectiveness for infection control is therefore unclear. We used the latest developments in hydrodynamic modelling to predict population connectivity of sea lice between all current operational salmon aquaculture sites in the complex west coast of Scotland region over 1 yr (June 2013 to June 2014). Aggregating site connectivity matrices by management units, we identified the extent to which units supplied lice to (or received lice from) other units, and their effectiveness for infection control. Total estimated connectivity varied over time by a factor of 2. A general northward movement of simulated larvae was observed. Even the smallest management units reduced external infection by around 75% versus individually managed sites. Larger management units reduced estimated connectivity further. Optimised units derived by applying thresholds to site matrices suggested that management within water bodies at the scale of 50 to 100 km would be most effective.TP AdamsD AleynikKD BlackInter-ResearcharticleAquaculture. Fisheries. AnglingSH1-691EcologyQH540-549.5ENAquaculture Environment Interactions, Vol 8, Pp 585-596 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Aquaculture. Fisheries. Angling SH1-691 Ecology QH540-549.5
spellingShingle	Aquaculture. Fisheries. Angling SH1-691 Ecology QH540-549.5 TP Adams D Aleynik KD Black Temporal variability in sea lice population connectivity and implications for regional management protocols
description	In modern large-scale salmon aquaculture, sites are managed within spatial units. In Scottish waters, several different definitions are used: operator-defined ‘Farm Management Areas’ (FMAs), regulator-defined ‘Disease Management Areas’ (DMAs) and ‘Fish Health Management Reporting areas’ (FHMRAs). FMAs balance many operational requirements, while the sole purpose of DMAs is to limit the spread of disease. FHMRAs are based on historical wild fish monitoring areas. One objective of these units is to monitor and limit the spread of water-borne agents such as infectious salmon anaemia and parasites such as sea lice, which present a perennial economic and ecological challenge. However, unit boundaries are either based on simplified hydrodynamic assumptions, or do not incorporate such information. Their effectiveness for infection control is therefore unclear. We used the latest developments in hydrodynamic modelling to predict population connectivity of sea lice between all current operational salmon aquaculture sites in the complex west coast of Scotland region over 1 yr (June 2013 to June 2014). Aggregating site connectivity matrices by management units, we identified the extent to which units supplied lice to (or received lice from) other units, and their effectiveness for infection control. Total estimated connectivity varied over time by a factor of 2. A general northward movement of simulated larvae was observed. Even the smallest management units reduced external infection by around 75% versus individually managed sites. Larger management units reduced estimated connectivity further. Optimised units derived by applying thresholds to site matrices suggested that management within water bodies at the scale of 50 to 100 km would be most effective.
format	article
author	TP Adams D Aleynik KD Black
author_facet	TP Adams D Aleynik KD Black
author_sort	TP Adams
title	Temporal variability in sea lice population connectivity and implications for regional management protocols
title_short	Temporal variability in sea lice population connectivity and implications for regional management protocols
title_full	Temporal variability in sea lice population connectivity and implications for regional management protocols
title_fullStr	Temporal variability in sea lice population connectivity and implications for regional management protocols
title_full_unstemmed	Temporal variability in sea lice population connectivity and implications for regional management protocols
title_sort	temporal variability in sea lice population connectivity and implications for regional management protocols
publisher	Inter-Research
publishDate	2016
url	https://doaj.org/article/99b2cfd50f0042338d35ce5c9a06002d
work_keys_str_mv	AT tpadams temporalvariabilityinsealicepopulationconnectivityandimplicationsforregionalmanagementprotocols AT daleynik temporalvariabilityinsealicepopulationconnectivityandimplicationsforregionalmanagementprotocols AT kdblack temporalvariabilityinsealicepopulationconnectivityandimplicationsforregionalmanagementprotocols
_version_	1718439152066756608

Temporal variability in sea lice population connectivity and implications for regional management protocols

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