project image
You're currently viewing an old version of this dataset. To see the current version, click here.

In 2020, Katelyn Rodgers, a master's student at the University of Manitoba, began a historical study of nutrient exports and the impacts of climate change on the Swan Lake watershed over 30 years. I am looking specifically for any changes in nutrient loading in the Swan and Woody Rivers via nutrient data from Manitoba Agriculture and Resource Development and historical precipitation data from Environment Canada. With this data, I plan to also examine for changes in runoff and precipitation to see if these factors have influenced changes in nutrient loading.

Data and Resources

Data

Related Publications

Metadata

Field Value
Title Nutrient Exports in the Swan Lake Watershed - Master's Project
Research Program Name
Keyword Vocabulary Polar Data Catalogue
Keyword Vocabulary URL https://www.polardata.ca/pdcinput/public/keywordlibrary
Website
Theme Freshwater
Status In Progress
Project DOI
Metadata Creation Date 2021
Publisher CanWIN
Related Facilities
Field Value
Project extent
Project Area Swan River, Woody River, Swan Lake Watershed, Lake Winnipegosis Watershed
Spatial regions
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 2020-06-01
Project End Date
Field Value
Project Contributors
Principal Investigators
Principal Investigators 1
Principal Investigator Name
Rodgers, Katelyn
Type of Name
Personal
Principal Investigator Email
rodgersk@myumanitoba.ca
Principal Investigator Affiliation
Centre for Earth Observation Science - University of Manitoba
Principal Investigator ORCID ID
Co-Investigators
Co-Investigators 1
Co-Investigator Name
McCullough, Greg
Co-Investigator Role
Supervisor
Co-Investigator Email
greg.mccullough@umanitoba.ca
Co-Investigator Affiliation
Centre for Earth Observation Science - University of Manitoba
Co-Investigator ORCID ID
Co-Investigators 2
Co-Investigator Name
Barber, David
Co-Investigator Role
Supervisor
Co-Investigator Email
david.barber@umanitoba.ca
Co-Investigator Affiliation
Centre for Earth Observation Science - University of Manitoba
Co-Investigator ORCID ID
Project Data Curator Rodgers, Katelyn
Project Data Curator email rodgersk@myumanitoba.ca
Project Data Curator Affiliation Centre for Earth Observation Science - University of Manitoba
Funder Information
Awards
Field Value
License Name Creative Commons Attribution 4.0 International
Licence Schema Name SPDX
Licence URL https://spdx.org/licenses
Terms of Access

CanWIN datasets are licensed individually, details for each licence used can be found using the Licence URL link provided with each dataset. By accessing this Web site and Database, you are agreeing to be bound by CanWIN's Terms of Use, all applicable laws and regulations, and agree that you are responsible for compliance with any applicable local laws. If you do not agree with any of these terms, do not use this site. Any claim relating to this web site shall be governed by the laws of the Province of Manitoba without regard to its conflict of law provisions

Terms of Use

This project is governed by CanWIN’s Terms of Use. You can view the full terms here (https://lwbin.cc.umanitoba.ca/wp-content/uploads/2019/10/CanWIN_DataPolicy_Nov2019.pdf). Citation: The Data User should properly cite the Data Set in any publications or in the metadata of any derived data products that were produced using the Data Set. Acknowledgement: The Data User should acknowledge any institutional support or specific funding awards referenced in the metadata accompanying this dataset in any publications where the Data Set contributed significantly to its content. Acknowledgements should identify the supporting party, the party that received the support, and any identifying information such as grant numbers. Notification: The Data User should notify the Data Set Contact when any derivative work or publication based on or derived from the Data Set is distributed. Notification will include an explanation of how the Data Set was used to produce the derived work. Collaboration: The Data Set has been released in the spirit of open scientific collaboration. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator.