Dataset

CIMP 215: Aquatic ecosystems in the Fort Good Hope area as indicators of environmental change

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Global warming is causing large-scale transformations of the northern landscape. In particular, permafrost thaw has wide implications for northern ecosystems and the communities living in this transitioning landscape. As climate continues to warm, previously frozen soils may release carbon and nutrients to aquatic ecosystems. These environmental changes may push aquatic ecosystems beyond tipping points, so that the functions and services they provide to communities are at risk. This project is directly addressing concerns about changes in water quality expressed by community members in Fort Good Hope in the Sahtú Settlement Area. We used a YSI multiparametric sonde and 2L polycarbonate bottles for water sampling. Ultimately, the results from the project will help anticipate cumulative effects of climate warming and anthropogenic disturbances such as land-use on aquatic health.


Version 2.1.0
DOI https://doi.org/10.25976/3k29-vs78
Data Steward Email jerome.comte@inrs.ca
Data Collection Organization Northwest Territories Cumulative Impact Monitoring Program (CIMP)
Data Upload Organization Institut national de la recherche scientifique (INRS)
Progress Code onGoing
Maintenance Frequency Code asNeeded
Topic Category Code inlandWaters
Keywords Water Quality, Surface, Water, Metals, Nutrients
Spatial Extent -130.85° 66.107°, -127.352° 66.359° (W S, E N)
Temporal Extent 2021-06-08 to 2023-06-09
Date Published
Alternate Formats FGP-HNAP ISO:19115-2 (XML) , W3C DCAT (XML) , W3C DCAT (JSON-LD)

Citation

Comte, Jérôme (2022). CIMP 215: Aquatic ecosystems in the Fort Good Hope area as indicators of environmental change (dataset). Accessed from DataStream.

Data Collection Information

We used a YSI multiparametric sonde and 2L polycarbonate bottles for water sampling in Fort Good Hope in the Sahtú Settlement Area.

Data Processing

Analysis for metals and nutrients were done at the GRIL laboratory at Université du Québec in Montréal. Analyses for dissolved organic carbon (DOC) were done at Université du Québec in Trois-Rivières.

Attribution Licence (ODC-By) v1.0

You are free to share, copy, distribute, use, modify, transform, build upon, and produce works from the data as long as you attribute any public use of the data, or works produced from the data, in the manner specified in the licence. For any use or redistribution of the data, or works produced from it, you must make clear to others the licence of the data and keep intact any notices on the original data. https://opendatacommons.org/licenses/by/1-0/

API Access

curl -G https://api.datastream.org/v1/odata/v4/Records --data-urlencode "\\$filter=DOI eq '10.25976/3k29-vs78'" -H "x-api-key: PRIVATE-API-KEY"

Changelog

v2.1.0

Added new observations collected in 2023

Schema v2.20.1
Digest SHA3-256:b9bf40bcc68aecd8541f5a2c201cbbf38ff312170c942c1218c12fad80b7e299
File size 341.15 KB
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v2.0.0

Added new observations in 2022

Schema v2.17.3
Digest SHA3-256:40dc6f34277a915d68fd7f2ca80e1c6c64af49edbaaa2924bd8d7ed9d05f2cd2
File size 330.71 KB
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v1.0.0

initial submission

Schema v2.6.12
Digest SHA3-256:77108c2752802b81dd5a1c01949954e4c76c34deaf740fd743e05594102395fc
File size 159.22 KB
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