Claim · model-written summary
Bark held 10.31% tree-1 of biomass allocation.
- Taxon
- Cinnamomum tamala
Cinnamomum tamalae0 - Organ / stage
- barke5
- Outcome
- Allocation of biomasse5
- Value
- 10.31% tree-1e5
Not reportedMaterialGeneCompoundInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Biomass regression models are presented describing total above-ground biomass, stem wood, branch wood, foliage and bark production for Tejpat (Cinnamomum tamala), a multipurpose tree”
e5“Allocation of biomass was more in stem (47.24% tree-1) than in foliage (22.75% tree-1), branch (19.69% tree-1) and bark (10.31% tree-1)”
Title
BS Poudel; SK Gautam; DN Bhandari Banko Janakari 2013. doi:10.3126/banko.v21i1.9058
Other claims from this paper (8)
- Method / resource Regression models for Tejpat biomass were statistically significant, with R2 from 0.64 to 0.83.
- Method / resource The linear model had the least error among the five regression models tested for Tejpat biomass.
- Method / resource RMSE percentage of the best-fit equation for Tejpat biomass varied between 16.64% and 44.82%.
- Observation Stem held 47.24% tree-1 of biomass allocation, more than foliage.
- Observation Foliage held 22.75% tree-1 of biomass allocation.
- Observation Branch held 19.69% tree-1 of biomass allocation.
- Association Tejpat biomass has a positive, strongly linear relationship with DBH.
- Recommendation Biomass models could apply to other areas with similar conditions but should be validated before use in new sites.