Abstract
Understanding the essential contribution of eucalyptus plantation for industry development and climate change mitigation requires the accurate quantification of aboveground biomass at the individual tree species level. However, the direct measurement of aboveground biomass by destructive method is high cost and time consuming. Therefore, developing allometric equations is necessary to facilitate this effort. This study was designed to construct the specific allometric models for estimating aboveground biomass of Eucalyptus urophylla in East Nusa Tenggara. Forty two sample trees were utilized to develop allometric equations using regression analysis. Several parameters were selected as predictor variables, i.e. diameter at breast height (D), quadrat diameter at breast height combined with tree height (D2H), as well as D and H separately. Results showed that the mean aboveground biomass of E. urophylla was 143.9 ± 19.44 kg tree-1. The highest biomass were noted in stem (80.06%), followed by bark (11.89%), branch (4.69%), and foliage (3.36%). The relative contribution of stem to total aboveground biomass improved with the increasing of diameter class while the opposite trend was recorded in bark, branch, and foliage. The equation lnŶ = lna + b lnD was best and reliable for estimating the aboveground biomass of E. urophylla since it provided the highest accurate estimation (91.3%) and more practical than other models. Referring to these findings, this study concluded the use of allometric equation was reliable to support more efficient forest mensuration in E. urophylla plantation.
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Claims 11
Claim · model-written summary
Mean aboveground biomass was 143.9 ± 19.44 kg per Eucalyptus tree.
- Taxon
- E. urophylla
Eucalyptus urophyllae0 - Outcome
- mean aboveground biomasse0
- Value
- 143.9 ± 19.44 kg tree-1e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the mean aboveground biomass of E. urophylla was 143.9 ± 19.44 kg tree-1”
Claim · model-written summary
Stems accounted for 80.06% of aboveground biomass.
Not reportedTaxon
Verbatim
e0“stem (80.06%), followed by bark (11.89%), branch (4.69%), and foliage (3.36%)”
Claim · model-written summary
Bark accounted for 11.89% of aboveground biomass.
Not reportedTaxon
Verbatim
e0“bark (11.89%)”
Claim · model-written summary
Branches accounted for 4.69% of aboveground biomass.
Not reportedTaxon
Verbatim
e0“branch (4.69%)”
Claim · model-written summary
Foliage accounted for 3.36% of aboveground biomass.
Not reportedTaxon
Verbatim
e0“foliage (3.36%)”
Claim · model-written summary
Stem contribution to total aboveground biomass rose with diameter class.
- Outcome
- relative contribution of stem to total aboveground biomasse0
- Direction
- improvede0
- Setting
- increasing of diameter classe0
Not reportedTaxon
Verbatim
e0“The relative contribution of stem to total aboveground biomass improved with the increasing of diameter class”
Claim · model-written summary
Bark contribution to biomass fell with diameter class.
Not reportedTaxonSetting
Verbatim
e0“the opposite trend was recorded in bark, branch, and foliage”
Claim · model-written summary
Branch contribution to biomass fell with diameter class.
Not reportedTaxonSetting
Verbatim
e0“the opposite trend was recorded in bark, branch, and foliage”
Claim · model-written summary
Foliage contribution to biomass fell with diameter class.
Not reportedTaxonSetting
Verbatim
e0“the opposite trend was recorded in bark, branch, and foliage”
Claim · model-written summary
The log diameter equation was the best biomass estimator, with 91.3% accuracy.
- Taxon
- E. urophyllaEucalyptus urophyllae0
- Outcome
- estimating the aboveground biomasse0
- Value
- 91.3%e0
- Qualifier
- lnŶ = lna + b lnDe0
- Comparator
- other modelse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The equation lnŶ = lna + b lnD was best and reliable for estimating the aboveground biomass of E. urophylla since it provided the highest accurate estimation (91.3%) and more practical than other models”
Claim · model-written summary
The authors conclude that allometric equations can support more efficient forest mensuration.
- Taxon
- E. urophyllaEucalyptus urophyllae0
- Outcome
- more efficient forest mensuratione0
- Setting
- plantatione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the use of allometric equation was reliable to support more efficient forest mensuration in E. urophylla plantation”