| Summary: | In recent decades, the Arctic marine environment has undergone a rapid change as represented by the dramatic reduction in sea ice extent and volume. Despite the recent decline in the Arctic multiyear ice cover, the Arctic and sub-Arctic regions continue to remain seasonally ice-covered. The annual cycle of growth and decay of the seasonal sea ice cover has far-reaching impacts on oceanographic conditions in the Arctic estuarine environments. Due to complicated and costly logistics associated with time-series observations in ice-infested waters, oceanographic moorings proved to be the most reliable and often the only possible method for studying temporal phenomena occurring over the annual cycle in Arctic marine environments. The broadscale goal for this study was to investigate how geophysical oceanographic processes characteristic of the Arctic and sub-Arctic estuarine environments (i.e. presence of seasonal snow and sea ice cover, estuarine and tidal water dynamics, atmospheric forcing and unique under-ice light regime) affect biological processes like zooplankton distribution and DVM throughout long-term mooring deployment. In this Ph.D. thesis, I present field observations relying on mooring observations conducted at three ice-covered locations, each presented in an individual chapter: (1) Young Sound (2014- 2014), which is a fjord in Southeast Greenland, (2) Belcher Islands (2013-2016) in the subarctic Southeastern Hudson Bay, and (3) Western Hudson Bay north of Churchill (2016-2017). From the acquired mooring records, we observed the influence of solar and lunar light and water dynamics on the vertical migration of zooplankton. At locations 1 and 3, we observed modifications or the complete disruption of DVM during highly energetic current and spring tide events. The mooring deployed at location 2 recorded oscillations of temperature and salinity throughout the whole water column, which we attributed to vertical displacement water parcels caused by internal tidal waves. The combination of winter ...
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