Claim · model-written summary
A natural logarithm model was selected for Strombosia pustulata.
- Taxon
- Strombosia pustulataStrombosia pustulatae0
- Outcome
- candidate model (Natural logarithm)e0
- Value
- SLC = 22.12 + (-51.40) In(D)e0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Verbatim
e0“The same candidate model (Natural logarithm) was selected for both the Desplatsia lutea and Strombosia pustulata species with the equation SLC = -0.04 + (-63.82) In(D) and SLC = 22.12 + (-51.40) In(D) respectively”
Title
Slenderness coefficient models for tree species in Omo biosphere reserve, South-western Nigeria
A. O. Oladoye; P. O. Ige; Q. A. Onilude; et al. Tropical Plant Research 2020. doi:10.22271/tpr.2020.v7.i3.075
Other claims from this paper (6)
- Observation About 23.5% of study trees were susceptible to wind throw.
- Association DBH was a better predictor of slenderness coefficient than other growth characteristics.
- Method / resource A normal logarithmic equation was selected for pooled tree data.
- Method / resource A natural logarithm model was selected for Desplatsia lutea.
- Method / resource An exponential model was selected for Sterculia rhinopetala.
- Recommendation The equations were recommended for species slenderness prediction and stand stability assessment.