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

<p>“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 <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103739#pone-0103739-g003" target="_blank">Fig. 3</a>. “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 (<i>BIC</i>) values and greater log-likelihood values. Log-likelihood ratios (<i>LLR</i>) were calculated holding ocular method as the null hypothesis, therefore, more strongly negative values indicate better fit for models using the ocular method. Each <i>LLR</i> test was significant (<i>p</i><0.0001).