{"help": "https://canwin-datahub.ad.umanitoba.ca/data/en/api/3/action/help_show?name=package_show", "success": true, "result": {"Identifier": "10.34991/631F-EZ50", "PublicationYear": "2025", "Publisher": "University of Manitoba", "ResourceType": "thesis", "Rights": "Creative Commons Attribution-NoDerivatives 4.0 International", "Version": "1.0", "author": null, "author_email": null, "citation": "", "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", "descriptionType": "Abstract", "id": "59f21fb1-a707-4202-afca-9e85507b4d9d", "isopen": false, "language": "English", "licenceType": "Open", "license_id": null, "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2026-01-20T01:45:58.274946", "metadata_modified": "2026-02-13T02:20:48.071243", "name": "spatial-distr-mbgl-thesis", "notes": "Freshwater eutrophication in Canada poses significant threats to ecosystem health and community wellbeing, particularly in large lake systems like the upper Manitoba Great Lakes (uMBGL). Lakes Winnipegosis, Waterhen, and Manitoba form a critical buffer system within the Nelson River watershed, processing nutrients before they reach Lake Winnipeg and ultimately Hudson Bay and the North Atlantic Ocean. Despite their importance, these lakes remain severely understudied, with minimal spatial and temporal data available about nutrient dynamics and phytoplankton communities. This knowledge gap hinders evidence-based management decisions necessary to protect these valuable freshwater resources from eutrophication driven by modern challenges such as land use management and accelerated climate change. This study provides the first spatially comprehensive, multi-year assessment of offshore water quality in the upperMBGL system. Over three open-water seasons (2016-2017), I collected and analyzed physical, chemical, and biological data across multiple basins to: (1) characterize in-situ offshore biogeochemical and physical conditions; (2) examine spatial and temporal variation through geostatistical analysis; and (3) document phytoplankton diversity and distribution patterns. Results indicate that all three lakes are consistently mesotrophic to eutrophic. Nutrient concentrations generally increased from north to south in both Lakes Winnipegosis and Manitoba during the open water season. Filamentous cyanobacteria dominated summer phytoplankton biomass in both lakes, while cyanobacterial picoplankton dominated by abundance. Significant differences between years and basins suggest limited inter-basin mixing and differential impacts from local land use. This research establishes a critical western science based baseline for understanding water quality dynamics in the Upper Manitoba Great Lakes system, and highlights the urgent need for continued monitoring, community-engaged research, and the weaving of traditional ecological knowledge with western science approaches to ensure these lakes can continue functioning as effective nutrient buffers for Lake Winnipeg.", "num_resources": 1, "num_tags": 8, "organization": {"id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", "name": "ceos", "title": "Centre for Earth Observation Science", "type": "organization", "description": "The Centre for Earth Observation Science (CEOS) was established in 1994 with a mandate to research, preserve and communicate knowledge of Earth system processes using the technologies of Earth Observation Science. Research is multidisciplinary and collaborative seeking to understand the complex interrelationships between elements of Earth systems, and how these systems will likely respond to climate change. Although researchers have worked in many regions, the Arctic marine system has always been a unifying focus of activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre (ARC, Aarhus, Denmark) established the Arctic Science Partnership, thereby integrating academic and research initiatives.\r\n\r\nAreas of existing research activity are divided among key themes:\r\n\r\nArctic Anthropology/Paleoclimatology: LiDAR scanning and digital site preservation, archaeo-geophysics, permafrost degredation, lithic morphometrics, zooarchaeology, proxy studies, paleodistribution of sea ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, ethnographic analogy, traditional knowledge, climate change and northern heritage resource management.\r\n\r\nAtmospheric Studies/Meteorology: Boundary layer, precipitation, clouds, storms and extreme weather, circulation, eddy correlations, polar vortex, climate, teleconnections, geophysical fluid dynamics, flux and energy budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice albedo feedback, cloud radiative forcing, pCO2. \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace metals, minerals, hydrocarbons, brine processes, otolith microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, trace metals, PAHs, source, transport, transformation, pathways, bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth Observation Science: Active and passive microwave, LiDAR, EM induction, spatial-temporal analysis, forward and inverse scattering models, complex permittivity, ocean colour, ocean surface roughness, NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: Biophysical processes, primary production; ice algae, ice microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland Lakes and Waters: Hydrologic connectivity, watershed systems, sediment transport, nutrient transport, contaminants, landscape processes, remote sensing, freshwater-marine coupling. Marine Mammals: Seals, whales, habitat, conservation, satellite telemetry, distribution, population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: Simulation of sea ice and oceanic regional processes, Nucleus for European Modelling of the Ocean (NEMO), ice-ocean modelling and interactions, hind cast simulations and projections for sea ice state and ocean variables based on CMIP5 scenarios and MIROC5 forcing, validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic processes, extreme ice features and hazards, snow, ridges, polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, hunting, food security, sea ice use, community-based research, community-based monitoring, two ways of knowing.", "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", "created": "2017-07-21T13:15:49.935872", "is_organization": true, "approval_status": "approved", "state": "active"}, "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", "private": false, "related_datasets": ["5ded5325-5b41-4a92-ae57-9c0f5895b99f"], "related_programs": ["4fa3a804-a8cb-4178-b4e1-4209f76ca184"], "rightsIdentifier": "CC-BY-ND-4.0", "rightsIdentifierScheme": "SPDX", "rightsSchemeURI": "https://spdx.org/licenses", "rightsURI": "https://spdx.org/licenses/CC-BY-ND-4.0.html", "schemeURI": "", "state": "active", "subjectScheme": "Polar Data Catalogue", "theme": ["8f8cd877-b037-4b1a-b928-f86d9e093741"], "title": "Spatial distribution of water quality and phytoplankton in the Upper Manitoba Great Lakes", "type": "publication", "url": null, "version": null, "Author": [{"affiliation": "Centre for Earth Observation Science - University of Manitoba", "creatorName": "Herbert, Claire", "email": "claire.herbert@umanitoba.ca", "nameIdentifier": "0000-0003-2724-4200", "nameIdentifierScheme": "ORCID", "nameType": "Personal", "schemeURI": "http://orcid.org/"}], "awards": [{"awardTitle": "Canada Research Chair in Arctic System Science", "awardURI": "https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=557018", "funderIdentifier": "https://doi.org/10.13039/501100000038", "funderIdentifierType": "Crossref Funder ID", "funderName": "National Science and Engineering Council", "funderSchemeURI": "https://www.crossref.org/services/funder-registry", "grantNumber": ""}, {"awardTitle": "Lake Winnipeg Foundation", "awardURI": "https://lakewinnipegfoundation.org/", "funderIdentifier": "", "funderIdentifierType": "", "funderName": "Lake Winnipeg Foundation", "funderSchemeURI": "", "grantNumber": ""}], "groups": [{"description": "Inland water features, drainage systems and their characteristics. Examples of data you can find here include river and lake data, water quality data. \r\n\r\nIn CEOS, related research themes include biogeochemistry, Inland lakes and waters, modelling, remote sensing and technology, trace metals and contaminants.", "display_name": "Freshwater", "id": "8f8cd877-b037-4b1a-b928-f86d9e093741", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2021-10-31-211937.658599hyinspirehydrography.svg", "name": "freshwater", "title": "Freshwater"}], "relatedResources": [{"RelatedIdentifier": "https://mbglchem.umcanwin.ca/", "ResourceTypeGeneral": "Service", "name": "Map of chemistry data for Claire Herbert thesis", "relatedIdentifierType": "URL", "relationType": "IsSupplementTo", "resourceType": "Online Resource", "seriesName": ""}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2026-01-20T01:47:31.940107", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Freshwater eutrophication in Canada poses significant threats to ecosystem health and community wellbeing, particularly in large lake systems like the upper Manitoba Great Lakes (uMBGL). Lakes Winnipegosis, Waterhen, and Manitoba form a critical buffer system within the Nelson River watershed, processing nutrients before they reach Lake Winnipeg and ultimately Hudson Bay and the North Atlantic Ocean. Despite their importance, these lakes remain severely understudied, with minimal spatial and temporal data available about nutrient dynamics and phytoplankton communities. This knowledge gap hinders evidence-based management decisions necessary to protect these valuable freshwater resources from eutrophication driven by modern challenges such as land use management and accelerated climate change.\r\n\r\nThis study provides the first spatially comprehensive, multi-year assessment of offshore water quality in the upperMBGL system. Over three open-water seasons (2016-2017), I collected and analyzed physical, chemical, and biological data across multiple basins to: (1) characterize in-situ offshore biogeochemical and physical conditions; (2) examine spatial and temporal variation through geostatistical analysis; and (3) document phytoplankton diversity and distribution patterns.\r\n\r\nResults indicate that all three lakes are consistently mesotrophic to eutrophic. Nutrient concentrations generally increased from north to south in both Lakes Winnipegosis and Manitoba during the open water season. Filamentous cyanobacteria dominated summer phytoplankton biomass in both lakes, while cyanobacterial picoplankton dominated by abundance. Significant differences between years and basins suggest limited inter-basin mixing and differential impacts from local land use. This research establishes a critical western science based baseline for understanding water quality dynamics in the Upper Manitoba Great Lakes system, and highlights the urgent need for continued monitoring, community-engaged research, and the weaving of traditional ecological knowledge with western science approaches to ensure these lakes can continue functioning as effective nutrient buffers for Lake Winnipeg.", "format": "PDF", "hash": "", "id": "e7eec970-7a4e-4e5f-b56e-de729ff6e205", "last_modified": null, "metadata_modified": "2026-02-13T02:20:48.081989", "mimetype": null, "mimetype_inner": null, "name": "Spatial distribution of water quality and phytoplankton in the Upper Manitoba Great Lakes", "package_id": "59f21fb1-a707-4202-afca-9e85507b4d9d", "position": 0, "resCategory": "documents", "resource_type": null, "size": null, "state": "active", "url": "https://mspace.lib.umanitoba.ca/items/d94cdfa8-51f8-4bf4-99a8-98a3630fe0ed/full", "url_type": ""}], "tags": [{"display_name": "Freshwaters", "id": "cb187f8f-37dc-438e-a069-71354da9c469", "name": "Freshwaters", "state": "active", "vocabulary_id": null}, {"display_name": "Lake Manitoba", "id": "ab84ad76-3567-41a5-a613-ac4e5ba67473", "name": "Lake Manitoba", "state": "active", "vocabulary_id": null}, {"display_name": "Lake Waterhen", "id": "4dd27213-51d5-46e7-b957-4ddee096a320", "name": "Lake Waterhen", "state": "active", "vocabulary_id": null}, {"display_name": "Lake Winnipegosis", "id": "d3b3a9e6-01a6-4648-8182-b9edfa9be22e", "name": "Lake Winnipegosis", "state": "active", "vocabulary_id": null}, {"display_name": "Manitoba Great Lakes", "id": "86de62d4-1748-4f57-a16c-ae430722d701", "name": "Manitoba Great Lakes", "state": "active", "vocabulary_id": null}, {"display_name": "Nutrients", "id": "44265c2a-a639-4779-9481-478b0d6262ac", "name": "Nutrients", "state": "active", "vocabulary_id": null}, {"display_name": "algae", "id": "19e3def8-6ea5-4dd4-a23d-de2536b1406f", "name": "algae", "state": "active", "vocabulary_id": null}, {"display_name": "climate change", "id": "2e584d1c-98a9-4873-a854-88d5ea2fc466", "name": "climate change", "state": "active", "vocabulary_id": null}], "relationships_as_subject": [], "relationships_as_object": []}}