Subyearling Chinook salmon diets in Lower Columbia River estuarine habitats
Data files
Apr 30, 2025 version files 211.75 KB
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data_2025_LCEP_EMP_diets_manuscript.xlsx
205.96 KB
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README.md
5.79 KB
Abstract
The Lower Columbia River and Estuary is critical rearing habitat for juvenile Pacific salmon. Extending from the river mouth to Bonneville Dam 235 river kilometers upstream, the Estuary has been altered by dams, dikes, and habitat loss due to deforestation and wetland removal. Since 2008, a science group has monitored five sites to identify the long-term status and trends in Lower Columbia River and Estuary juvenile salmon rearing habitat. Here, we address predominantly natural origin juvenile Chinook Oncorhynchus tshawytscha diets and identify spatial and temporal trends in prey consumption, stomach fullness, energy consumption, and the metabolic costs associated with fish size and water temperatures. Juvenile Chinook diets consisted mainly of corophiid amphipods, chironomid dipterans, and cladocerans, with other insects filling in most of the remainder of their diets. Juvenile Chinook salmon diets were stable, and stomach fullness and caloric intake was comparable among the sites where most salmon were collected. Juvenile Chinook salmon were frequently in water temperatures above fitness thresholds. Higher water temperatures raise metabolic rates, so increased foraging will be necessary for growth in rising water temperature regimes. Reduced growth, earlier migration, and prey production timing mismatches are near term possibilities. Juvenile salmon rearing resiliency in the estuary can be aided by maintaining sufficient river discharge levels for salmon, and by restoring habitat and habitat connectivity to the mainstem channel.
Dataset DOI: 10.5061/dryad.c59zw3rm2
Description of the data and file structure
Title: Subyearling Chinook salmon diets in Lower Columbia River estuarine habitats
This dataset contains 2008-2021 juvenile Chinook salmon diet data. Each row represents one salmon and its stomach contents, including total prey weight, total prey energy density, and metabolic costs. Additional data include water temperature at time of sampling, mark status, i.e., natural or hatchery origin fish, and the best estimate of fish origin.
Files and variables
File: data_2025_LCEP_EMP_diets_manuscript.xlsx
Description: 2008-2021 subyearling Chinook diet data
Variables
| Site | EMP site name |
|---|---|
| Month | month of year |
| SalmonidID | unique ID for each salmon |
| length.mm. | fork length of salmon |
| field.wt.g | weight of fish in the field |
| fullness | categorical descriptor of fullness of stomach (1=low) |
| digestion | categorical descriptor of digestion of stomach contents (1=low) |
| length.mm._bin | categorical length bin assigned to fish (30-59mm, 60-79mm, 80-99mm) |
| Sum.of.wt.g. | sum of weight of prey contents in stomach (g) |
| Instantaneous.Ration..IR. | ratio of total prey weight (sum of weights of all individual taxa in the diet) to total fish mass |
| Energy.Ration..ER. | individual prey taxon masses for each fish multiplied by the energy density (kJ g−1 wet mass) of each prey taxon, summed, and divided by the individual fish mass |
| MarkOrTag | presence/absence of form of fish tag |
| BestEstimate | best estimate of fish origin |
| AvgOfTempC | water temperatures at time of fish sampling |
| MarknoMark | 1=marked (adipose fin absent), 0=unmarked (adipose fin present, i.e., unclipped) |
| lengthbin2 | categorical length bin assigned to fish (30-65mm, 66-99mm) |
| jm | mass specific maintenance costs at 0º C (0.003) |
| edt | e^dt (d is the temperature coefficient for biomass assimilation (0.68); t is water temperature in ºC) |
| MM | maintenance metabolish: jm*e^dt*W (W=fish mass (g)) |
Code/software
Our statistical analyses were calculated using R Statistical Software [version 4.2.2.] and R Studio. Final models were developed using the package ‘glmmTMB’ [version 1.1.7] and were chosen considering corrected Akaike information criterion (wiqid version 0.3.3). Multivariate analyses on prey taxa were conducted using the package ‘vegan’ [version 2.6.4]. We organized data using “dplyr” [version 1.1.2]. Post-hoc analyses of mixed models included pairwise comparisons of estimated marginal means and calculating the effect size of the comparison, using “emmeans” [version 1.8.8]. We used “ggplot2” [version 3.4.4] for data visualization.
Access information
Other publicly accessible locations of the data:
