Annual monitoring data contracted through USBR and DWR to assess the timing, composition, and abundance of salmonid emigration from the upper Sacramento River and its tributaries. Data collected here are consulted to make real-time Delta water management decisions and NMFS BO RPA triggers for protection of juvenile salmonids entering the Delta. This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000032. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.

Tabular datasets containing information pertaining to fish caught during trapping effort in the Deshka River between 2019 and 2024 to sample juvenile salmon. These data collected from the field are used to assess effort and were acquired using a Survey123 data acquisition application.

Tabular datasets containing information pertaining to fish caught during trapping effort in the Deshka River between 2019 and 2024 to sample juvenile salmon. These data collected from the field are used to assess effort and were acquired using a Survey123 data acquisition application.

Tabular datasets containing information pertaining to traps set in the Deshka River between 2019 and 2024 to sample juvenile salmon. These data collected from the field are used to assess effort and were acquired using a Survey123 data acquisition application.

Tabular datasets containing information pertaining to traps set in the Deshka River between 2019 and 2024 to sample juvenile salmon. These data collected from the field are used to assess effort and were acquired using a Survey123 data acquisition application.

FY20 will mark the 23nd year of sampling, making the Juvenile Salmon and Ocean Ecosystem Survey (JSOES) the longest running salmon survey on the west coast. JSOES has clearly demonstrated correlations between ocean conditions and the distribution, abundance, and survival of juvenile Columbia River (CR) salmon in the Northern California Current (NCC) nearshore ecosystem. For example, our ocean indicators provide managers from the federal and state governments, tribes, and other agencies/groups the ability to forecast adult returns one to two years in advance for coho and spring/summer Chinook salmon. We continue to show the importance of evaluating ocean conditions to support management decisions and to provide context for efforts by the Northwest Power and Conservation Council (NWPCC) and BPA to restore and enhance salmon production. The primary goal of our work is to develop a mechanistic understanding of how trophic dynamics and conditions in the ocean and CR plume affect survival of juvenile salmonids. This knowledge will allow us to improve forecasts in a quantitative rather than qualitative manner, and decouple the effects of mitigation efforts in the freshwater environment from the effects of a changing ocean environment. These improved forecasts will lead to well-informed recommendations for an ecosystem approach to management strategies based on the full suite of river, plume, and ocean environments. Stomach Contents from juvenile salmonids, primarily Chinook and Coho.

Sampling juvenile salmon and associated fishes in open waters of the lower Columbia River estuary. Field work includes bi-weekly sampling during the spring outmigration (Apr-June), and monthly sampling throughout the summer and fall. We use a purse seine to sample open water habitats. Our objectives are to document the seasonal and interannual variation in juvenile salmon immediately prior to ocean entry, with respect to abundance, size, origins (H/W), stocks, food habitats, and parasites/pathogens. We also document the larger estuarine fish community, which serves a critical role as prey for juvenile salmon predators. Abundance and size of fish caught in Columbia estuary.

FY20 will mark the 23nd year of sampling, making the Juvenile Salmon and Ocean Ecosystem Survey (JSOES) the longest running salmon survey on the west coast. JSOES has clearly demonstrated correlations between ocean conditions and the distribution, abundance, and survival of juvenile Columbia River (CR) salmon in the Northern California Current (NCC) nearshore ecosystem. For example, our ocean indicators provide managers from the federal and state governments, tribes, and other agencies/groups the ability to forecast adult returns one to two years in advance for coho and spring/summer Chinook salmon. We continue to show the importance of evaluating ocean conditions to support management decisions and to provide context for efforts by the Northwest Power and Conservation Council (NWPCC) and BPA to restore and enhance salmon production. The primary goal of our work is to develop a mechanistic understanding of how trophic dynamics and conditions in the ocean and CR plume affect survival of juvenile salmonids. This knowledge will allow us to improve forecasts in a quantitative rather than qualitative manner, and decouple the effects of mitigation efforts in the freshwater environment from the effects of a changing ocean environment. These improved forecasts will lead to well-informed recommendations for an ecosystem approach to management strategies based on the full suite of river, plume, and ocean environments. Lab Lengths, weight, genetics, IGF-1 (growth), and otolith microchemistry from juvenile salmonids.

Collection of datasheets (pdf files) containing raw data collected during baited minnow trap study in 2021.

The objective of this study was to identify the patterns of juvenile salmonid distribution and relative abundance in relation to habitat correlates. It is the first dataset of its kind because the entire river was snorkeled by one person in multiple years. During two consecutive summers, we completed a census of juvenile salmonids and stream habitat across a stream network. We used the data to test the ability of habitat models to explain the distribution of juvenile coho salmon (Oncorhynchus kisutch), young-of-the-year (age 0) steelhead (Oncorhynchus mykiss), and steelhead parr (= age 1) for a network consisting of several different sized streams. Our network-scale models, which included five stream habitat variables, explained 27%, 11%, and 19% of the variation in the density of juvenile coho salmon, age 0 steelhead, and steelhead parr, respectively. We found weak to strong levels of spatial auto-correlation in the model residuals (Moran's I values ranging from 0.25 - 0.71). Explanatory power of base habitat models increased substantially and the level of spatial auto-correlation decreased with sequential inclusion of variables accounting for stream size, year, stream, and reach location. The models for specific streams underscored the variability that was implied in the network-scale models. Associations between juvenile salmonids and individual habitat variables were rarely linear and ranged from negative to positive, and the variable accounting for location of the habitat within a stream was often more important than any individual habitat variable. The limited success in predicting the summer distribution and density of juvenile coho salmon and steelhead with our network-scale models was apparently related to variation in the strength and shape of fish-habitat associations across and within streams and years. Summary of statistical analysis of the Calawah Riverscape data. NOAA was not involved and did not pay for the collection of this data. This data represents the statistical analysis carried out by Martin Liermann as a NOAA employee.