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Section 1: Overview
Name of Research Project
Related Project
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Part
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GWF-NWF: Northern Water Futures
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Program Affiliations
Related Research Project(s)
GWF-NWF: Northern Water Futures | |
Dataset Title
How does forest fire affect water quality and invertebrates in subarctic lakes
Additional Information
Creators and Contributors
Derek Gray | PI | dgray@wlu.ca | Wilfrid Laurier University |
Thomas Pretty | Originator | | Wilfrid Laurier University |
Abstract
Wildfire is one of the most impactful disturbances to Boreal water catchments where damaged forest vegetation increases runoff, erosion, organic material, and trace metals into water bodies. In 2014, severe megafires spread throughout the organic and mineral-rich peatlands of the Taiga Plains and Sahtú Settlement Area in Canada’s Northwest Territories (NWT), denuding watersheds for hundreds of small lakes. Lakes found in burned areas often experience large increases in nutrients which can have impacts on aquatic communities. To examine the impact of the 2014 fires on lakes in the NWT, biological data of zooplankton using a 64 µm mesh net (identified to genus), and benthic invertebrates using a 500 µm mesh D-net (identified and separated into functional feeding groups) were collected and enumerated from a mixture of 20 impacted and reference shallow lakes at three randomized sample stations per lake using a reference condition approach. Chlorophyll-a, conductivity, pH, and temperature were collected at each of the three stations and the centre of the lake. Surface sediment and soil samples were collected at each of the three random stations. Water chemistry and nutrients (TP, TN, DOC, and TOC) were collected through an integrated tube sampler in the centre of the lake. Physical attributes (surface area, watershed area, burned area, etc…) and macrophyte reflectance were obtained using satellite remote sensing. Sampling was conducted on August 2018/2019. A combination of Spearman correlations with the burned drainage ratio or hectares burned in the catchment/lake surface area (bDR), hierarchical partitioning, and multivariate analysis through principal component analysis and redundancy analysis was used to determine the physiochemical variables affected by forest fire and how these relate to biological differences in the lake ecosystems.
Purpose
This data was collected to examine forest fire impact on water quality and invertebrates in subarctic lakes.
Plain Language Summary
Keywords
Wildfire |
Water quality |
Invertebrates |
Subarctic lakes |
Taiga Plain |
Northwest Territories |
Citations
Section 2: Research Site
Temporal Extent
Begin Date
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End Date
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2018-08-01
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2019-08-31
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Geographic Bounding Box
West Boundary Longitude
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-127.66
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East Boundary Longitude
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-127.15
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North Boundary Latitude
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65.72
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South Boundary Latitude
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65.46
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Is Boundary Rectangular
Research Site Images
Research Site Description (if needed)
Taiga Plain
Sahtú Settlement Area
Northwest Territories
Basin
Subbasin
Specific Locations (if needed)
Research Site Location
Map Not Available
Display
View on Global Map
Section 3: Status and Provenance
Dataset Version
Dataset Creation Date
Status of data collection/production
Dataset Completion or Abandonment Date
Data Update Frequency
Creation Software
Primary Source of Data
Other Source of Data (if applicable)
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
Section 4: Access and Downloads
Access to the Dataset
Terms of Use
Does the data have access restrictions?
Downloading and Characteristics of the Dataset
Download Links and Instructions
Total Size of all Dataset Files (GB)
File formats and online databases
Other Data Formats (if applicable)
List of Parameters and Variables
Temperature | Degrees Celsius | | Field observation |
pH | | | Field collected samples |
Dissolved organic carbon | mg/L | | Field collected samples |
Total nitrogen | mg/L | | Field collected samples |
Total phosphorus | mg/L | | Field collected samples |