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...

Full description

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
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. In addition to recent versions, we now add a sensitivity test to evaluate lag-times of logging effects on salmon productivities.

Similar Items