klwilson23/Keogh: Time-series analyses and sensitivity test for Keogh salmonids
Here, we developed a Bayesian multivariate autoregressive state-space mode to assess temporal trends in productivity using stock-recruitment data of five species of Pacific salmonids (Steelhead Trout, Coho Salmon, Pink Salmon, anadromous Dolly Varden, and anadromous Coastal Cutthroat Trout) on the K...
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2021
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Online Access: | https://dx.doi.org/10.5281/zenodo.4532544 https://zenodo.org/record/4532544 |
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ftdatacite:10.5281/zenodo.4532544 2023-05-15T17:59:38+02:00 klwilson23/Keogh: Time-series analyses and sensitivity test for Keogh salmonids Wilson, Kyle 2021 https://dx.doi.org/10.5281/zenodo.4532544 https://zenodo.org/record/4532544 unknown Zenodo https://github.com/klwilson23/Keogh/tree/1.02 https://github.com/klwilson23/Keogh/tree/1.02 https://dx.doi.org/10.5281/zenodo.4532545 https://dx.doi.org/10.5281/zenodo.4977300 Open Access info:eu-repo/semantics/openAccess Software SoftwareSourceCode article 2021 ftdatacite https://doi.org/10.5281/zenodo.4532544 https://doi.org/10.5281/zenodo.4532545 https://doi.org/10.5281/zenodo.4977300 2021-11-05T12:55:41Z Here, we developed a Bayesian multivariate autoregressive state-space mode to assess temporal trends in productivity using stock-recruitment data of five species of Pacific salmonids (Steelhead Trout, Coho Salmon, Pink Salmon, anadromous Dolly Varden, and anadromous Coastal Cutthroat Trout) on the Keogh River since 1976. We also examine whether productivity shifts were similarly occurring across the community and explore marine or freshwater drivers associated with those shifts. In addition to recent versions, we now add a sensitivity test to evaluate lag-times of logging effects on salmon productivities. Article in Journal/Newspaper Pink salmon DataCite Metadata Store (German National Library of Science and Technology) Pacific Varden ENVELOPE(7.656,7.656,62.534,62.534) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
Here, we developed a Bayesian multivariate autoregressive state-space mode to assess temporal trends in productivity using stock-recruitment data of five species of Pacific salmonids (Steelhead Trout, Coho Salmon, Pink Salmon, anadromous Dolly Varden, and anadromous Coastal Cutthroat Trout) on the Keogh River since 1976. We also examine whether productivity shifts were similarly occurring across the community and explore marine or freshwater drivers associated with those shifts. In addition to recent versions, we now add a sensitivity test to evaluate lag-times of logging effects on salmon productivities. |
format |
Article in Journal/Newspaper |
author |
Wilson, Kyle |
spellingShingle |
Wilson, Kyle klwilson23/Keogh: Time-series analyses and sensitivity test for Keogh salmonids |
author_facet |
Wilson, Kyle |
author_sort |
Wilson, Kyle |
title |
klwilson23/Keogh: Time-series analyses and sensitivity test for Keogh salmonids |
title_short |
klwilson23/Keogh: Time-series analyses and sensitivity test for Keogh salmonids |
title_full |
klwilson23/Keogh: Time-series analyses and sensitivity test for Keogh salmonids |
title_fullStr |
klwilson23/Keogh: Time-series analyses and sensitivity test for Keogh salmonids |
title_full_unstemmed |
klwilson23/Keogh: Time-series analyses and sensitivity test for Keogh salmonids |
title_sort |
klwilson23/keogh: time-series analyses and sensitivity test for keogh salmonids |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.4532544 https://zenodo.org/record/4532544 |
long_lat |
ENVELOPE(7.656,7.656,62.534,62.534) |
geographic |
Pacific Varden |
geographic_facet |
Pacific Varden |
genre |
Pink salmon |
genre_facet |
Pink salmon |
op_relation |
https://github.com/klwilson23/Keogh/tree/1.02 https://github.com/klwilson23/Keogh/tree/1.02 https://dx.doi.org/10.5281/zenodo.4532545 https://dx.doi.org/10.5281/zenodo.4977300 |
op_rights |
Open Access info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.4532544 https://doi.org/10.5281/zenodo.4532545 https://doi.org/10.5281/zenodo.4977300 |
_version_ |
1766168472987893760 |