Data from: Comparative landscape genetic analysis of three Pacific salmon species from subarctic North America
We examined the assumption that landscape heterogeneity similarly influences the spatial distribution of genetic diversity in closely related and geographically overlapping species. Accordingly, we evaluated the influence of watershed affiliation and nine habitat variables from four categories (spat...
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ftzenodo:oai:zenodo.org:5024220 2024-09-09T20:10:47+00:00 Data from: Comparative landscape genetic analysis of three Pacific salmon species from subarctic North America Olsen, Jeffrey B. Crane, Penelope A. Flannery, Blair G. Dunmall, Karen Templin, William D. Wenburg, John K. 2017-09-15 https://doi.org/10.5061/dryad.7p05v unknown Zenodo https://doi.org/10.1007/s10592-010-0135-3 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.7p05v oai:zenodo.org:5024220 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode Chinook salmon Oncorhynchus tshawytscha Oncorhynchus kisutch Alaska chum salmon Oncorhynchus keta info:eu-repo/semantics/other 2017 ftzenodo https://doi.org/10.5061/dryad.7p05v10.1007/s10592-010-0135-3 2024-07-26T10:04:25Z We examined the assumption that landscape heterogeneity similarly influences the spatial distribution of genetic diversity in closely related and geographically overlapping species. Accordingly, we evaluated the influence of watershed affiliation and nine habitat variables from four categories (spatial isolation, habitat size, climate, and ecology) on population divergence in three species of Pacific salmon (Oncorhynchus tshawytscha, O. kisutch, and O. keta) from three contiguous watersheds in subarctic North America. By incorporating spatial data we found that the three watersheds did not form the first level of hierarchical population structure as predicted. Instead, each species exhibited a broadly similar spatial pattern: a single coastal group with populations from all watersheds and one or more inland groups primarily in the largest watershed. These results imply that the spatial scale of conservation should extend across watersheds rather than at the watershed level which is the scale for fishery management. Three independent methods of multivariate analysis identified two variables as having influence on population divergence across all watersheds: precipitation in all species and subbasin area (SBA) in Chinook. Although we found general broad-scale congruence in the spatial patterns of population divergence and evidence that precipitation may influence population divergence in each species, we also found differences in the level of population divergence (coho > Chinook and chum) and evidence that SBA may influence population divergence only in Chinook. These differences among species support a species-specific approach to evaluating and planning for the influence of broad-scale impacts such as climate change. Landscape genetics of Alaska salmon The nine files contain genotypic and environmental data for Chinook, Coho, and Chum Salmon (three files per species). For more detail see the README.pdf file. LG.zip Other/Unknown Material Subarctic Alaska Zenodo Pacific Keta ENVELOPE(-19.455,-19.455,65.656,65.656) |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
Chinook salmon Oncorhynchus tshawytscha Oncorhynchus kisutch Alaska chum salmon Oncorhynchus keta |
spellingShingle |
Chinook salmon Oncorhynchus tshawytscha Oncorhynchus kisutch Alaska chum salmon Oncorhynchus keta Olsen, Jeffrey B. Crane, Penelope A. Flannery, Blair G. Dunmall, Karen Templin, William D. Wenburg, John K. Data from: Comparative landscape genetic analysis of three Pacific salmon species from subarctic North America |
topic_facet |
Chinook salmon Oncorhynchus tshawytscha Oncorhynchus kisutch Alaska chum salmon Oncorhynchus keta |
description |
We examined the assumption that landscape heterogeneity similarly influences the spatial distribution of genetic diversity in closely related and geographically overlapping species. Accordingly, we evaluated the influence of watershed affiliation and nine habitat variables from four categories (spatial isolation, habitat size, climate, and ecology) on population divergence in three species of Pacific salmon (Oncorhynchus tshawytscha, O. kisutch, and O. keta) from three contiguous watersheds in subarctic North America. By incorporating spatial data we found that the three watersheds did not form the first level of hierarchical population structure as predicted. Instead, each species exhibited a broadly similar spatial pattern: a single coastal group with populations from all watersheds and one or more inland groups primarily in the largest watershed. These results imply that the spatial scale of conservation should extend across watersheds rather than at the watershed level which is the scale for fishery management. Three independent methods of multivariate analysis identified two variables as having influence on population divergence across all watersheds: precipitation in all species and subbasin area (SBA) in Chinook. Although we found general broad-scale congruence in the spatial patterns of population divergence and evidence that precipitation may influence population divergence in each species, we also found differences in the level of population divergence (coho > Chinook and chum) and evidence that SBA may influence population divergence only in Chinook. These differences among species support a species-specific approach to evaluating and planning for the influence of broad-scale impacts such as climate change. Landscape genetics of Alaska salmon The nine files contain genotypic and environmental data for Chinook, Coho, and Chum Salmon (three files per species). For more detail see the README.pdf file. LG.zip |
format |
Other/Unknown Material |
author |
Olsen, Jeffrey B. Crane, Penelope A. Flannery, Blair G. Dunmall, Karen Templin, William D. Wenburg, John K. |
author_facet |
Olsen, Jeffrey B. Crane, Penelope A. Flannery, Blair G. Dunmall, Karen Templin, William D. Wenburg, John K. |
author_sort |
Olsen, Jeffrey B. |
title |
Data from: Comparative landscape genetic analysis of three Pacific salmon species from subarctic North America |
title_short |
Data from: Comparative landscape genetic analysis of three Pacific salmon species from subarctic North America |
title_full |
Data from: Comparative landscape genetic analysis of three Pacific salmon species from subarctic North America |
title_fullStr |
Data from: Comparative landscape genetic analysis of three Pacific salmon species from subarctic North America |
title_full_unstemmed |
Data from: Comparative landscape genetic analysis of three Pacific salmon species from subarctic North America |
title_sort |
data from: comparative landscape genetic analysis of three pacific salmon species from subarctic north america |
publisher |
Zenodo |
publishDate |
2017 |
url |
https://doi.org/10.5061/dryad.7p05v |
long_lat |
ENVELOPE(-19.455,-19.455,65.656,65.656) |
geographic |
Pacific Keta |
geographic_facet |
Pacific Keta |
genre |
Subarctic Alaska |
genre_facet |
Subarctic Alaska |
op_relation |
https://doi.org/10.1007/s10592-010-0135-3 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.7p05v oai:zenodo.org:5024220 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.7p05v10.1007/s10592-010-0135-3 |
_version_ |
1809945218457272320 |