Urea nitrogen : creatinine ratios in snow urine have become popular fo
r assessing the extent of winter nutritional deprivation in ungulates.
During winter 1992-1993, we collected 10-17 sequential snow-urine sam
ples (402 total) from 27 individually identifiable free-ranging adult
female elk. Within-animal variance accounted for 91% of the total vari
ance (351.66 mg(2)/dL(2)) in creatinine, 86% of the total variance (63
7.03 mg(2)/dL(2)) in urea nitrogen, and 82% of the total variance (0.5
6) in urea nitrogen : creatinine ratios. This substantial within-anima
l variability was unexpected and led to experiments that examined whet
her the variability was due to sample collection and measurement techn
ique or actually reflected biological variability. Factors examined in
cluded dilution effects, measurement (assay) repeatability, and short-
term (<24 h) within-animal constancy in metabolite excretion. No dilut
ion effects were detected when the initial concentrations of snow-urin
e samples were diluted less than or equal to 75% with water. Measureme
nt variability accounted for 0.78, 0.37, and 27.7% of the total varian
ce in creatinine, urea nitrogen, and urea nitrogen : creatinine ratios
, respectively. Within-animal metabolite excretion was reasonably cons
tant within 24 h, suggesting that creatinine provides a valid index fo
r comparing urinary metabolites. We conclude that variability in urea
nitrogen : creatinine ratios due to dilution, measurement variability,
and short-term temporal variability in metabolite excretion was small
compared with the total within-animal variance. Urea nitrogen : creat
inine ratios should provide an accurate estimate of the true ratios of
these metabolites in an elk's bladder urine. However, the interpretat
ion of urea nitrogen : creatinine ratios is often complex, since they
reflect the immediate dynamics between fat depletion, protein cataboli
sm, and dietary intake. Differences in ratios between collections may
be partially due to variations in recent dietary intake or restriction
, in addition to true differences in long-term nutritional status. The
best method for statistically analyzing snow-urine data remains unres
olved.