Winter-Run Chinook Salmon Recovery Scenarios: Coupled Model Analysis for Sacramento River
by Ann-Marie K. Osterback·Updated 2mo ago
2.4 MB1files
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Description
A 26-year simulation period (1995–2020) is used to evaluate recovery strategies for endangered Sacramento River winter-run Chinook salmon. The study couples water-planning, hydrodynamic, habitat capacity, and survival models within a life cycle model to assess management actions. The supplementary PDF file, authored by Ann-Marie K. Osterback and licensed under CC-BY-4.0, presents the model and results.
Use Cases
Evaluating the synergistic effects of combined habitat, flow, and harvest management actions based on the coupled model framework described.
Calibrating life stage-specific survival models for salmonids based on the Winter-run Chinook salmon life cycle model (WRLCM) methodology.
Benchmarking population recovery projections for endangered species based on the 26-year simulation of historical and future scenarios.
Strengths
Model integrates multiple domains: water-planning, hydrodynamics, habitat capacity, and life stage-specific survival.
Scenarios evaluated include a 26-year simulation period (1995–2020) for historical context.
Results indicate scenarios with multiple actions could increase population size by over 7 times the historical baseline.
Limitations
The primary data file is a 2.4 MB PDF; underlying model data, columns, and row counts are unavailable.
Column-level documentation is absent; field semantics must be inferred after download from the PDF text.
Data may reflect geographic and temporal bias inherent to the Sacramento River case study.
Provenance
Source
figshare, authored by Ann-Marie K. Osterback.
Collection Method
Results from an updated version of the Winter-run Chinook salmon life cycle model (WRLCM) coupling multiple sub-models.
Time Range
1995–2020 (simulation period)
Freshness
Last updated 2026-04-14 05:38:58; freshness should be verified.
Geography
Sacramento River, California's Central Valley
Data is presented as a 2.4 MB PDF supplementary file; raw model inputs or outputs are not directly provided as a dataset.