Northwest Fisheries Science Center

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Document Type: Journal Article
Center: NWFSC
Document ID: 8218
Title: Interannaul variability in the effects of physical habitat and parentage on Chinook salmon egg-to-fry survival
Author: P. Roni, Christopher L. Johnson, Trenton DeBoer, G. R. Pess, Andrew H. Dittman, David A. Sear
Publication Year: 2015
Journal: Canadian Journal of Fisheries and Aquatic Sciences
Volume: 73
Issue: 7
Pages: 1047-1059
Keywords: Chinook salmon, suvival, egg-to-fry,
Abstract:

Mortality during incubation is believed to be a major factor limiting the recovery of many salmon populations though direct field measurements of egg-to-fry survival are rare or small in scale.  To determine the effects of physical habitat (river reach, fine sediment intrusion, scour) and parentage (mating/source of gametes) on Chinook salmon (Oncorhynchus tshwaytscha) egg-to-fry survival and developmental stage across a basin, we constructed 324 artificial redds in nine reaches over four years in the Yakima River Basin, Washington, USA.  Mean egg-to-fry survival ranged from 49 to 69% annually from 2009 to 2012 brood years.  Survival was significantly different among reaches in 2010, but not 2009, 2011 or 2012, while mating was a significant factor in all years but 2010.  In contrast, developmental stage differed significantly among reaches and matings in all four years.  Percent of fines, days-in-gravel and median particle size explained only a small (<10%) additional amount of variation in survival or developmental stages.  Our results suggest that parentage and reach within a basin are major factors influencing egg-to-fry survival, but their relative influence vary annually presumably depending on the magnitude of high flows and scour during incubation. 

URL1: The next link will exit from NWFSC web site http://dx.doi.org/10.1139/cjfas-2015-0372
Theme: Recovery and rebuilding of marine and coastal species
Foci: Characterize the population biology of species, and develop and improve methods for predicting the status of populations.
Develop methods to use physiological, biological and behavioral information to predict population-level processes.