Biomass Estimation for Four Common Grass Species in Northern Arizona Ponderosa Pine
Journal of range management
Vegetation allometric relations were examined for 4 important grass species in southwestern ponderosa pine (Pinusponderosa). Logarithmic regressions were developed relating aboveground biomass to basal area, height, and number of seedheads, as well as 3 factors: overstory type (pole, yellow pine), burning treatment (unburned, prescribed burn 2-, 5-, and 7-yr previously), and site (3 locations). Basal area was defined as longest basal diameter multiplied by the widest perpendicular diameter. Of
... cular diameter. Of the metric variables, basal area proved to be the best predictor of biomass. Height and number of seedheads did little to increase Rl values. Burning treatment was a significant factor for Sitanion longejolium and Muhlenbe&a mon&na. Overstory type significantly affected Poa fenderiana and Festuca ankonica equations. Site effects were important for all but SuMion lonsefolfum When biomass regressions are used for species such as these, sampling efficiency can be improved by including factors such as overstory type, burning history, and locale. Final regression equations relating biomass of each species to basal area and significant factors were significant at 60.05 and had adjusted Rz values ranging from 0.81 to 0.87. A validation test using 20% of the data not used in developing the regressions indicated that these equations are adequate predictors. When used with double sampling, weight prediction based on basal area indices should provide a more objectively measured predictor than percent cover.