Blue Mussel Growth along a Fjord-Coastal System
Norwegian Institute of Marine Research (IMR, Havforskningsinstituttet)
Large Norwegian fjords exhibit a large spatial and temporal variability in environmental conditions. This is specially the case in the surface waters (~3m) where the salinity gradient along the fjord from the inner part to the open sea varies extremely with season. Blue mussels (Mytilus edulis) are a well-known inhabitant along this spatial range where it is restricted mainly to the surface layer. The present study aimed to monitor the growth of mussels at different locations along a fjord (FIG. 1) while recording the natural variability on food (chlorophyll), salinity, temperature and pH. This data is to be used to improve mechanistic models describing the performance of mussels along these gradients.
To do this, we set up mussels in these locations at 3m deep along with a CTD, a fluorometer, a turbidimeter and a PyroScience underwater pH logger (AquapHOx-L-pH).
FIG. 1 Left to right: map showing locations in western Norway from coast to inland: Austevoll, Varaldsøy and Ulvik locations (red arrows); longline with mussels and instruments at Ulvik; and logger set-up with PyroScience pH logger (AquapHOx-L-pH).
The experiment ran for 12 months. During this time, we recorded the environmental changes at three locations and the growth of the mussel individuals. The 3 locations exhibited a contrasting environmental temporal variability (FIG. 2). Salinity being the most notorious variable.
FIG. 2 Data recorded between January and November 2020. Top to bottom: pHtotal, salinity and temperature at 3m deep.
Salinity seems to be the main driver of the performance of mussels and the main difference between locations. pH variability is low during winters but it is clearly influenced by primary production during spring and probably by salinity variability (run-off waters) later on during the year. More data is needed and this time series is still continued. More data on carbon chemistry together with pH is needed to further disentangle the correlations and further understanding the effect of these variables on mussel performance.
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