Collaborators
Elise Gornish (Extension & SNRE)
Lauren Porensky (USDA-ARS)
Elizabeth Leger (UNR)
Data Science Team
A recent wildfire that burned a rangeland restoration experiment offered the opportunity to test whether restoration techniques to reduce cheatgrass held up following an additional disturbance. We developed Bayesian models to analyze plant height, cover, and count data using appropriate likelihoods and accounted for the complex ANOVA design with random effects.
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