Ice Covered Ecosystems - CAMbridge bay Process Studies (ICE-CAMPS)

Sea ice algae are an important contributor of primary production in the Arctic ecosystem. Within the bottom-ice environment, access to nutrients from the underlying ocean is a major factor controlling production, phenology, and taxonomic composition of ice algae. Previous studies have demonstrated that tides and currents play an important role in driving the flux of nutrients to bottom-ice algal communities when biological demand during the spring bloom is high. In this study we investigate how surface currents under land-fast, first-year ice influence nutrient supply based on stoichiometric composition, algal chlorophyll a biomass, and species composition during spring 2016, in Dease Strait, Nunavut. Stronger water dynamics over a shoaled and constricted strait dominated by tidal currents (tidal strait) supported turbulent flow more than 85% of the deployment duration in comparison to outside the tidal strait in an embayment where turbulent flow was only evidenced a small percentage (< 15%) of the time. The system appeared to be nitrate-depleted with surface water concentrations averaging 1.3 mol L–1. Increased currents were correlated significantly with a decrease in ice thickness and an increase in ice algal chlorophyll a. Furthermore, pennate diatoms dominated the ice algal community abundance with greater contribution within the strait where currents were greatest. These observations all support the existence of a greater nutrient flux to the ice bottom where currents increased towards the center of the tidal strait, resulting in an increase of bottom ice chlorophyll a biomass by 5–7 times relative to that outside of the strait. Therefore, expanding beyond the long identified biological hotspots of open water polynyas, this paper presents the argument for newly identified hotspots in regions of strong sub-ice currents but persistent ice covers, so called “invisible polynyas”.

This research output has no data

Facilities

  • ceos
    The Centre for Earth Observation Science (CEOS), housed in the Clayton H. Riddell Faculty of Environment, Earth, and Resources, is a leading research centre at the University of Mani...
    130 research outputs
  • umb
    Our energetic university community is comprised of close to 30,000 students, over 8,900 faculty and staff, and 138,000 alumni in 137 countries. Over 16 per cent of our current studen...
    140 research outputs

Related Collections and Datasets

Metadata

Field Value
Title Ice Covered Ecosystems - CAMbridge Bay Process Studies
Research Program Name ICE-CAMPS
Keyword Vocabulary Polor Data Catalogue
Keyword Vocabulary URL https://www.polardata.ca/pdcinput/public/keywordlibrary
Website https://asp-net.org/node/7
Theme Cryosphere
Marine
Status Complete
Project DOI 10.5203/pb1d-a512
Metadata Creation Date 2022
Publisher CanWIN
Related Facilities Centre for Earth Observation Science
University of Manitoba
Field Value
Project extent
Project Area Dease Straight, Nunavut
Spatial regions Cambridge Bay
Spatial extent West Bound Longitude
Spatial extent East Bound Longitude
Spatial extent South Bound Latitude
Spatial extent North Bound Latitude
Temporal extent
Project Start Date 2016-05-06
Project End Date
Field Value
Project Contributors
Principal Investigators
Principal Investigators 1
Principal Investigator Name
Mundy, C.J
Type of Name
Personal
Principal Investigator Email
cj.mundy@umanitoba.ca
Principal Investigator Affiliation
Centre for Earth Observation Science - University of Manitoba
Principal Investigator ORCID ID
Co-Investigators
Project Data Curator Mundy, C.J
Project Data Curator email cj.mundy@umanitoba.ca
Project Data Curator Affiliation Centre for Earth Observation Science - University of Manitoba
Funder Information
Awards
Field Value
License Name Creative Commons Attribution-ShareAlike 4.0 International
Licence Schema Name SPDX
Licence URL https://spdx.org/licenses
Terms of Access

CanWIN datasets are licensed individually, however most are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License. Details for the licence applied can be found using the Licence URL link provided with each dataset. By using data and information provided on this site you accept the terms and conditions of the License. Unless otherwise specified, the license grants the rights to the public to use and share the data and results derived therefrom as long as the proper acknowledgment is given to the data licensor (citation), that any alteration to the data is clearly indicated, and that a link to the original data and the license is made available.

Terms of Use

By accessing this data you agree to CanWIN's Terms of Use.