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Productivity evaluation of Eucalyptus urophylla plantation established in dryland ecosystems, East Nusa Tenggara Sadono, Ronggo; Wardhana, Wahyu; Wirabuana, Pandu Yudha Adi Putra; Idris, Fahmi
Journal of Degraded and Mining Lands Management Vol. 8 No. 1 (2020)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2020.081.2461

Abstract

The establishment of the Eucalyptus urophylla plantation has a potential contribution to the improvement of dryland ecosystem productivity in East Nusa Tenggara. However, the productivity of E. urophylla stand in this area is rarely documented even though it has been managed for more than 20 years. This study was directed to evaluate the growth performance, biomass accumulation, and carbon storage in E. urophylla plantation managed by Timor Tengah Selatan Forest Management Unit (FMU). Data were collected by a field survey using N-trees sampling method. Results demonstrated the mean tree density of E. urophylla in this area was 182 trees/ha with an average stand volume of 150.12 m3/ha. The mean annual increment in volume varied from 1.83 to 19.45 m3/year. The mean biomass accumulation and carbon storage in E. urophylla plantation approached 171.76 and 52.25 Mg/ha. Around 65% of total biomass and carbon storage were accumulated in the stem. Interestingly, the relative contribution of the stem to total biomass increased slowly with diameter class increasing while the dissimilar trend was observed in root, branch, and foliage. Based on the results, this study confirmed that the existence of E. urophylla plantation could increase the productivity of dryland ecosystem in East Nusa Tenggara.
Allometric Model for Estimating Above-ground Biomass and Carbon Stock of Bambusa vulgaris var. striata Mulyana, Budi; Wirabuana, Pandu Yudha Adi Putra; Hadi Purwanto, Ris
Jurnal Manajemen Hutan Tropika Vol. 31 No. 2 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.2.114

Abstract

Bamboo, one of the non-timber forest products, is promising in climate change mitigation strategy due to its ability to remove CO2 from the atmosphere through photosynthesis. However, the allometric model to estimate the biomass and carbon of bamboo is still limited. The research aimed to develop the allometric model using the diameter as the predictor. The materials for destructive sampling were 30 culms of yellow ampel bamboo (Bambusa vulgaris var. striata). A power model was used to analyze data in order to develop an allometric model. Furthermore, data validation was used to leave one out cross-validation (LOOCV), and assessing the difference between predicted and observed values used t-test. The results showed that bamboo biomass was allocated in culms, branches, and leaves at 48.14, 27.66, and 24.20%, respectively. Moreover, the percentage carbon content of culms, branches, and leaves was 55.64%, 50.67%, and 48.48%, respectively. The best allometric model to estimate total biomass was lnWD = -1.846 + 2.218 lnD and to estimate carbon stock was lnC = -2.504 + 2.225 lnD. In conclusion, the diameter at 60 cm from the base (D60) was the best predictor, and adding the predictor length of culm did not improve the allometric model significantly. Moreover, the predictor D0 – Dbh (1.3 m) did not differ significantly in estimating above-ground biomass and carbon stock. Furthermore, for practical purpose, the Dbh is recommended for use in measuring bamboo diameter in the field.