Estimated parameters and goodness-of-fit statistics for fitted models of forage lichen biomass in northwestern Alaska.

“Method” column summarizes either ocular or point count methods of estimating volume, both of these, or height only. “Slope coefficient” is in units of g cm−3 unless otherwise noted, and is a measure of lichen mat bulk density; uncertainty of each estimate is presented graphically as 95% confidence intervals in Fig. 3. “Difference” between the ocular and point count method is expressed as a proportion of the ocular method. Model goodness-of-fit was determined by likelihood-based methods: better models have values closer to zero for Bayesian Information Criterion (BIC) values and greater log-likelihood values. Log-likelihood ratios (LLR) were calculated holding ocular method as the null hypothesis, therefore, more strongly negative values indicate better fit for models using the ocular method. Each LLR test was significant (p<0.0001).