Claim · model-written summary
Height and seedhead number added little predictive fit.
- Taxon
- grass speciest0
- Outcome
- R2 valuese0
- Direction
- did little to increasee0
- Comparator
- Height and number of seedheadse0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Verbatim
e0“Height and number of seedheads did little to increase R2 values.”
t0“Grass Species”
Title
Biomass Estimation for Four Common Grass Species in Northern Arizona Ponderosa Pine
Steven W. Andariese; W. Wallace Covington Journal of Range Management 1986. doi:10.2307/3899456
Other claims from this paper (9)
- Method / resource Basal area was the best metric predictor of grass biomass.
- Association Burning treatment significantly affected Sitanion longefolium regressions.
- Association Burning treatment significantly affected Muhlenbergia montana regressions.
- Association Overstory type affected Poa fenderiana equations.
- Association Overstory type affected Festuca arizonica equations.
- Association Site effects were important for all species except Sitanion longefolium.
- Method / resource Final biomass regressions had adjusted R2 of 0.81 to 0.87.
- Method / resource Held-out validation found the equations adequate predictors.
- Recommendation Using basal area indices with double sampling should improve prediction objectivity.