klwilson23/Keogh: Time-series analyses 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:
Online Access:https://dx.doi.org/10.5281/zenodo.4532545
https://zenodo.org/record/4532545
Description
Summary: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.