摘要
Sea lice are a constraint on the sustainable growth of Scottish marine salmonid aquaculture. As part of an integrated pest management approach farms coordinate procedures within spatial units. We present observations of copepodids being at relatively greater density than nauplii in upper waters which informs the development of surface layer sea lice transmission modelling of Loch Linnhe, Scotland, for informing farm parasite management. A hydrodynamic model is coupled with a biological particle tracking model, with characteristics of plankton sea lice. Simulations are undertaken for May and October 2011 – 2013, forced by local wind data collected for those periods. Particles are continually released from positions representing farm locations, weighted by relative farm counts, over a two week period and tracked for a further five days. A comparison is made between modelled relative concentrations against physical and biological surveys to provide confidence in model outputs. Connectivity between farm locations is determined in order to propose potential coordination areas. Generally, connectivity depends on flow patterns in the loch and decreases with increased farm separation. The connectivity indices are used to estimate the origins of the sea lice population composition at each site, which may influence medicinal regimens to avoid loss of efficacy.
| 源语言 | English |
|---|---|
| 页(从-至) | 901-919 |
| 页数 | 19 |
| 期刊 | Journal of Fish Diseases |
| 早期在线日期 | 7 8月 2017 |
| DOI | |
| 出版状态 | E-pub ahead of print - 7 8月 2017 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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Zero hunger
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Life below water
学术指纹
探究 'Using biological-physical modelling for informing sea lice dispersal in Loch Linnhe, Scotland' 的科研主题。它们共同构成独一无二的学术指纹。概要
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Andrew Dale
- SAMS UHI - Numerical Modeller
- Aquaculture Research Network
- Energy Innovation Team
人员: Academic - Research and Teaching or Research only
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