Winter-run Chinook salmon resource selection function 2020

Peter Dudley
We use historic aerial redd surveys of Sacramento River winter-run Chinook salmon, coupled with 2D hydraulic modeling, and apply multivariable polynomial, logistic regression to calculate spawning resource selection functions (RSFs) based on water velocity and depth, and examine their interactions with water temperature. Our methods resulted in univariate and multivariate resource selection functions with interactions between both velocity and depth preference with changing temperature. Preferred depth increased and preferred velocity decreased with increasing temperature.
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2 downloads reported since publication in 2020.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?