Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes ...
The R code and data to support the manuscript "Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes" published by Dunmall & Langan et al. 2024 in Global Change Biology. Briefly, this study investigated the mechanisms behind variable, rising ca...
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Online Access: | https://dx.doi.org/10.5061/dryad.d51c5b0bh https://datadryad.org/stash/dataset/doi:10.5061/dryad.d51c5b0bh |
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ftdatacite:10.5061/dryad.d51c5b0bh 2024-09-09T19:18:27+00:00 Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes ... Dunmall, Karen Langan, Joseph 2024 https://dx.doi.org/10.5061/dryad.d51c5b0bh https://datadryad.org/stash/dataset/doi:10.5061/dryad.d51c5b0bh en eng Dryad Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Biological sciences Canadian Arctic Climate change Pacific Salmon Subsistence fishing dataset Dataset 2024 ftdatacite https://doi.org/10.5061/dryad.d51c5b0bh 2024-06-17T09:44:11Z The R code and data to support the manuscript "Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes" published by Dunmall & Langan et al. 2024 in Global Change Biology. Briefly, this study investigated the mechanisms behind variable, rising catches of Pacific salmon by subsistence fishers in the Canadian Arctic. Detailed descritptions of the data and the performed analyses are provided in the associated manuscript. ... : Salmon catch data (2000-2022) were collected during regular fishing activities by subsistence fishers participating in the Arctic Salmon program (https://www.arcticsalmon.ca/home) and summarized to annual counts. These salmon counts were then compared to sea surface temperature (SST) and sea ice data derived from the NOAA OI SST V2 High Resolution Dataset (https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html). Specifically, environmental data, cropped to ocean areas using a provided shapefile, were analyzed in a polygon in the Chukchi Sea (vertices: [68.3°N, 170.0°W], [68.3°N, 166.4°W], [69.5°N, 166.4°W], [69.5°N, 170.0°W]) and a polygon in the Beaufort Sea (vertices: [70.5°N, 153.0°W], [69.8°N, 143.0°W], [71.3°N, 143.0°W], [72.0°N, 153.0°W]). For the Chukchi Sea polygon, the mean June SST and last day of the spring-summer period with a mean ice concentration of at least 0.5 were calculated. For the Beaufort Sea polygon, the number of days with a mean SST above 2°C and the last day of the ... Dataset Arctic Beaufort Sea Chukchi Chukchi Sea Climate change Sea ice DataCite Arctic Chukchi Sea Pacific |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
FOS Biological sciences Canadian Arctic Climate change Pacific Salmon Subsistence fishing |
spellingShingle |
FOS Biological sciences Canadian Arctic Climate change Pacific Salmon Subsistence fishing Dunmall, Karen Langan, Joseph Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes ... |
topic_facet |
FOS Biological sciences Canadian Arctic Climate change Pacific Salmon Subsistence fishing |
description |
The R code and data to support the manuscript "Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes" published by Dunmall & Langan et al. 2024 in Global Change Biology. Briefly, this study investigated the mechanisms behind variable, rising catches of Pacific salmon by subsistence fishers in the Canadian Arctic. Detailed descritptions of the data and the performed analyses are provided in the associated manuscript. ... : Salmon catch data (2000-2022) were collected during regular fishing activities by subsistence fishers participating in the Arctic Salmon program (https://www.arcticsalmon.ca/home) and summarized to annual counts. These salmon counts were then compared to sea surface temperature (SST) and sea ice data derived from the NOAA OI SST V2 High Resolution Dataset (https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html). Specifically, environmental data, cropped to ocean areas using a provided shapefile, were analyzed in a polygon in the Chukchi Sea (vertices: [68.3°N, 170.0°W], [68.3°N, 166.4°W], [69.5°N, 166.4°W], [69.5°N, 170.0°W]) and a polygon in the Beaufort Sea (vertices: [70.5°N, 153.0°W], [69.8°N, 143.0°W], [71.3°N, 143.0°W], [72.0°N, 153.0°W]). For the Chukchi Sea polygon, the mean June SST and last day of the spring-summer period with a mean ice concentration of at least 0.5 were calculated. For the Beaufort Sea polygon, the number of days with a mean SST above 2°C and the last day of the ... |
format |
Dataset |
author |
Dunmall, Karen Langan, Joseph |
author_facet |
Dunmall, Karen Langan, Joseph |
author_sort |
Dunmall, Karen |
title |
Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes ... |
title_short |
Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes ... |
title_full |
Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes ... |
title_fullStr |
Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes ... |
title_full_unstemmed |
Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes ... |
title_sort |
pacific salmon in the canadian arctic highlight a range-expansion pathway for sub-arctic fishes ... |
publisher |
Dryad |
publishDate |
2024 |
url |
https://dx.doi.org/10.5061/dryad.d51c5b0bh https://datadryad.org/stash/dataset/doi:10.5061/dryad.d51c5b0bh |
geographic |
Arctic Chukchi Sea Pacific |
geographic_facet |
Arctic Chukchi Sea Pacific |
genre |
Arctic Beaufort Sea Chukchi Chukchi Sea Climate change Sea ice |
genre_facet |
Arctic Beaufort Sea Chukchi Chukchi Sea Climate change Sea ice |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.d51c5b0bh |
_version_ |
1809758527859720192 |