We propose to use a unique toolbox combining genetic and isotopic markers to 1) Assess the genetic diversity of Central Valley spring-run Chinook salmon (Oncorhynchus tshawytscha; CVSC), 2) Identify the juvenile life history diversity and the importance of natal versus non-natal and in-channel versus off-channel habitats, 3) Evaluate the connection between genetic diversity and the expression of life history diversity in each CVSC population, and 4) Investigate the response and resilience of CVSC populations, with various levels of genetic and phenotypic diversity, to changes in habitats and environmental conditions such as droughts and floodplain reconnection.
We will combine otolith, eye lens, and genetic tools to study the phenotypic diversity and genetic origins of returning adult spawners from spring-run Chinook Salmon spawning grounds across the entire ESU in 2024 and 2025. All individuals will first be assigned to their run type using genome wide sequencing and newly developed SHERLOCK methods. Otolith and eye lens isotope methods will then be used to characterize the juvenile migratory strategy diversity, rearing habitat use, natal origin and adult age structure of each CVSC population. These data will be synthesized to evaluate the resilience of CVSC populations with various biocomplexity levels to a changing climate and landscape.
Pesticide mixtures originating from both legacy and current-use chemicals are widely detected in Delta waters, sediments, and invertebrate prey, posing potential risks to juvenile Chinook Salmon during critical rearing periods. While pesticides have been measured in juvenile salmon and their prey, substantial uncertainty remains regarding how mixtures of contaminants affect fish behavior and physiology, and how these effects vary across space and time within the Delta. This science activity will apply a recently developed response spectrum modeling framework to evaluate spatial and temporal patterns of sublethal pesticide effects on juvenile Chinook Salmon rearing in the Delta. The model integrates pesticide concentrations measured in salmon tissues to predict behavioral and physiological impairment associated with complex pesticide mixtures. Juvenile fall-run Chinook Salmon collected through existing Delta monitoring programs, including archived specimens from prior years, will be analyzed alongside hatchery-origin juveniles deployed in cages at multiple Delta locations. This combined approach will allow assessment of how pesticide bioaccumulation and model-predicted effects vary across habitats, seasons, and hydrologic conditions. Results will provide a predictive assessment of where and when pesticide mixtures are most likely to impair juvenile salmon performance, with implications for growth, survival, and population-level outcomes. The activity will support management decisions related to pesticide regulation, TMDL development, and evaluation of habitat restoration actions, including reconnected floodplain rearing habitats. In addition, spatial patterns of pesticide bioaccumulation may help identify contaminant sources and inform targeted remediation strategies.