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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Bibliographic Details
Main Author: Wilson, Kyle
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2021
Subjects:
Pacific
Varden
Pink salmon
Online Access:https://dx.doi.org/10.5281/zenodo.4977300
https://zenodo.org/record/4977300
id ftdatacite:10.5281/zenodo.4977300
record_format openpolar
spelling ftdatacite:10.5281/zenodo.4977300 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.4977300 https://zenodo.org/record/4977300 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.4532544 Open Access info:eu-repo/semantics/openAccess Software SoftwareSourceCode article 2021 ftdatacite https://doi.org/10.5281/zenodo.4977300 https://doi.org/10.5281/zenodo.4532544 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.4977300
https://zenodo.org/record/4977300
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.4532544
op_rights Open Access
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.4977300
https://doi.org/10.5281/zenodo.4532544
_version_ 1766168473169297408

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