[article] | Title : |
Above-ground tree biomass and allometric relationships of Cinnamomum tamala grown in the western hill regions of Nepal |
| Material Type: |
printed text |
| Authors: |
B. S. Poudel, Author ; GAUTAM, S.K., Author ; D.N. Bhandari, Author |
| Publication Date: |
2011 |
| Article on page: |
3-12 p. |
| Languages : |
English (eng) |
| Keywords: |
Regression models fresh weight bark foliage branch wood stem wood |
| Abstract: |
Biomass regression models are presented describing total above-ground biomass, stem wood, branch
wood, foliage and bark production for Tejpat (Cinnamomum tamala), a multi- purpose tree which is
found abundantly distributed and grown in western hill districts of Nepal. A total of 56 Tejpat
trees between 6.2 and 16.5 cm diameter at breast height (DBH) from farmers’ farmland and marginal
land in Arghakhanchi, Gulmi and Palpa districts were sampled and harvested. Mean fresh weight of
total above-ground biomass, stem wood, branch wood, foliage and bark was 77.03, 36.39, 15.16, 17.53
and 8.2 kg tree -1, respectively. 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). Weight of tree component
was estimated as a function of DBH. After removal of the outliers, data were randomly divided into
two datasets: 70% for model calibration and another 30% for model validation. Correlation analysis
showed positive stronger linear relationship between DBH and biomass. Five regression models
(linear, logarithmic, quadratic, power and exponential) were developed. All models were
statistically significant, with R2 ranging from 0.64 to 0.83. Model validation was based on root
mean square error (RMSE). RMSE percentage for the best-fit equation varied between 16.64% and
44.82%. Linear model resulted in the least error and was selected as the best-fit model for
prediction of biomass of bark, foliage, branch, stem and total above ground tree biomass. Biomass
models developed could be applied to obtain biomass of different tree components of Tejpat grown in
the study area and could even be applied to other areas which have similar conditions; but it
should be validated before using them in new sites and conditions.
|
| Link for e-copy: |
http://lib.frtc.gov.np/elibrary/?r=7 |
in BANKO JANAKARI - वनको जानकारी : A Journal of Forestry Information for Nepal > 21 : 1 (January - June 2011) . - 3-12 p.
[article] Above-ground tree biomass and allometric relationships of Cinnamomum tamala grown in the western hill regions of Nepal [printed text] / B. S. Poudel, Author ; GAUTAM, S.K., Author ; D.N. Bhandari, Author . - 2011 . - 3-12 p. Languages : English ( eng) in BANKO JANAKARI - वनको जानकारी : A Journal of Forestry Information for Nepal > 21 : 1 (January - June 2011) . - 3-12 p. | Keywords: |
Regression models fresh weight bark foliage branch wood stem wood |
| Abstract: |
Biomass regression models are presented describing total above-ground biomass, stem wood, branch
wood, foliage and bark production for Tejpat (Cinnamomum tamala), a multi- purpose tree which is
found abundantly distributed and grown in western hill districts of Nepal. A total of 56 Tejpat
trees between 6.2 and 16.5 cm diameter at breast height (DBH) from farmers’ farmland and marginal
land in Arghakhanchi, Gulmi and Palpa districts were sampled and harvested. Mean fresh weight of
total above-ground biomass, stem wood, branch wood, foliage and bark was 77.03, 36.39, 15.16, 17.53
and 8.2 kg tree -1, respectively. 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). Weight of tree component
was estimated as a function of DBH. After removal of the outliers, data were randomly divided into
two datasets: 70% for model calibration and another 30% for model validation. Correlation analysis
showed positive stronger linear relationship between DBH and biomass. Five regression models
(linear, logarithmic, quadratic, power and exponential) were developed. All models were
statistically significant, with R2 ranging from 0.64 to 0.83. Model validation was based on root
mean square error (RMSE). RMSE percentage for the best-fit equation varied between 16.64% and
44.82%. Linear model resulted in the least error and was selected as the best-fit model for
prediction of biomass of bark, foliage, branch, stem and total above ground tree biomass. Biomass
models developed could be applied to obtain biomass of different tree components of Tejpat grown in
the study area and could even be applied to other areas which have similar conditions; but it
should be validated before using them in new sites and conditions.
|
| Link for e-copy: |
http://lib.frtc.gov.np/elibrary/?r=7 |
|
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