Phytoplankton depletion by mussel aquaculture: high resolution mapping, ecosystem modeling and potential indicators of ecological carrying capacity
Working paper
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http://hdl.handle.net/11250/102696Utgivelsesdato
2008Metadata
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This report is not to be quoted without prior consultation with the General Secretary.Sammendrag
Mussels held in suspended culture have an exceptional capacity to filter the water column and
reduce suspended particle concentrations. However, seston depletion is only of concern if the
phytoplankton are cleared faster than they can be replaced by tidal exchange and primary
production. The occurrence of significant phytoplankton depletions over extended periods and
different spatial scales is directly linked to concepts of production and ecological carrying
capacity owing to food limitation and alterations in ecosystem structure, material fluxes and
pathways and nutrient cycling. Knowledge on ecosystem interactions with shellfish aquaculture
supports the growth of a sustainable industry and the development of an ecosystem-based
management approach. The scale and magnitude of phytoplankton depletion was documented at
mussel aquaculture farms in Canada and Norway using a computer controlled, towed undulating
vehicle (BIO-Acrobat) that collects geo-referenced CTD and chlorophyll a data. Rapid synoptic
surveys with intensive horizontal and vertical sampling permitted high resolution 3-D mapping of
phytoplankton variations over farm to coastal ecosystem scales. Phytoplankton depletion by
mussels is size-specific and it is expected that in areas where mussels control phytoplankton
biomass, that picophytoplankton (0.2 to 3.0 ìm) will dominate. This hypothesis was tested, and
confirmed, by measuring total and picophytoplankton biomass in Prince Edward Island
embayments, where the risk of phytoplankton depletion varies greatly owing to regional
differences in water flushing, bay volume and culture biomass.
Key words: mussel culture; phytoplankton depletion; picophytoplankton; carrying capacity;
ecosystem models; indicators