Allometric biomass equations for young trees of four broadleaved species in Albania

Istrefi, Erion; Toromani, Elvin; Çollaku, Nehat; Thaci, Bashkim

doi:10.33494/nzjfs492019x51x

Cited by 7 publications

(5 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the case of C. mopane species in Mozambique, this study found that the model that included the interaction of D 2 and H performed better than the model that used separate D and H variables, suggesting a non-linear relationship between D and H. However, models that included both D and H performed similarly to models that used only diameter, suggesting that including H as an explanatory variable did not significantly improve the biomass estimation accuracy for C. mopane species. This result is consistent with previous studies16,56 . The results of AGB estimation showed that the inclusion of H data from the H-D model in Model 3 for AGB estimation resulted in higher error propagation compared to Model 1, which used only D as an explanatory variable.…”

supporting

confidence: 94%

See 1 more Smart Citation

Allometric equations and height-diameter models for estimating above-and below-ground biomass of Colophospermum mopane J.Léonard. in Mozambique

Lisboa,

Macôo,

Sitoe

2024

Preprint

View full text Add to dashboard Cite

This study aimed to develop species-specific biomass allometric equations (BAE) for the estimation of above-ground biomass (AGB) and below-ground biomass (BGB) of Colophospermum mopane, J.Léonard species in Mozambique and to evaluate the feasibility of including total height estimated by the height-diameter (H-D) model in the equations to improve the accuracy of biomass estimation. We applied a destructive method and felled 120 trees of C. mopane in Mabalane and Tambara districts. We measured breast height diameter, total height (H), and dry weight of each component (roots, stem, branches, and leaves). We fitted three BAE and fifteen H-D models using OLS and non-linear least squares regression. A validation procedure checked all models for applicability. We conducted a forest inventory using 78 temporary clusters, each consisting of four plots measuring 100 m x 20 m, to estimate the average AGB and BGB of C. mopane using the best-fitting BAE and H-D model. We also compared the best BAE of C. mopane with existing, locally developed species-specific BAEs. The study found that the model, including the interaction of D2 and H, performed better than the model with separate D and H variables. However, models including D and H performed similarly to models with D alone. The Power model and HossfeldIV performed best among the models with 2 and 3 parameters, respectively. Integrating the H-D model into the BAE for AGB and estimation can improve the efficiency and reliability of biomass estimation and stand volume by forest inventory data. Overall, this research is timely as there is an urgent need to improve the assessment of biomass and carbon emissions in mopane woodland (MW) in southern Africa, given their spatial extent, and to support climate goals and the sustainable management of these ecosystems.

show abstract

supporting

confidence: 94%

“…Including estimated H in BAE for biomass estimation is controversial in ecological research. While some studies argue that including H improves accuracy 15,54 , others suggest that it may lead to an underestimation of carbon storage 55 or may not improve accuracy at all 16,56…”

Section: Biomass Allometric Equation and Biomass Estimationmentioning

confidence: 99%

Allometric equations and height-diameter models for estimating above-and below-ground biomass of Colophospermum mopane J.Léonard. in Mozambique

Lisboa,

Macôo,

Sitoe

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…In the context of the destructive method, a representative sample is importantly required to obtain ideal information related to tree attributes. Most studies generally used diameter distribution since it could also describe the vegetation structure from the sampling location (Altanzagas et al, 2019;Istrefi et al, 2019;Karyati et al, 2021). Moreover, the diameter is a tree parameter that most accurate to measure.…”

Section: Resultsmentioning

confidence: 99%

Carbon storage and energy production of Eucalyptus urophylla developed in dryland ecosystems at East Nusa Tenggara

Sadono

Wardhana

Idris

et al. 2021

J.Degrade.Min.Land Manage.

View full text Add to dashboard Cite

The development of Eucalyptus urophylla in dryland ecosystems plays an important contribution to support climate change mitigation and renewable energy diversification. However, the information about the potential of E. urophylla for carbon reduction and energy production is rarely documented, even though it is necessary as fundamental considerations to determine the best strategy for sustainable natural resources management, primarily in dryland ecosystems. This study aimed to quantify the carbon storage and energy production of E. urophylla established in dryland ecosystems at East Nusa Tenggara. The study site is located in a eucalyptus plantation managed by Timor Tengah Selatan Forest Management Unit. Destructive sampling was conducted on 25 sample trees that were evenly distributed from small to big ones. The percentage of carbon content in every tree component, namely stem, branch, and foliage, was determined using elemental analysis, while the calorific value of each tree component was analyzed using a bomb calorimeter. Carbon storage in each component was calculated by multiplying biomass and the percentage of carbon content, while the energy production was computed by multiplying high heating value and biomass from every tree component. The results found the mean carbon storage of E. urophylla in the study site was 55.51 kg tree-1 with a minimum of 6.34 kg tree-1 and a maximum of 184.76 kg tree-1. The percentage of carbon content in the foliage was lower than other tree components by approximately 34.1%. Interestingly, the calorific value of foliage was relatively higher than stem and branch with around 5,252 kcal kg-1. The energy production of E. urophylla ranged from 252.6 to 7,813.3 MJ tree-1 with an average of 2,357.87 MJ tree-1. According to the results, this study concluded the development of E. urophylla in dryland ecosystems demonstrated a meaningful contribution to carbon absorption and energy production at East Nusa Tenggara.

show abstract

“…Our study showed that models with H and DBH have higher efficiency for all the studied species and similar findings were also reported by Rutishauser et al (2013); Kusmana et al (2018) and Khushi et al (2019). Allometric models with single independent variable (DBH) are robust in the field measurement and biomass estimation (Ketterings et al, 2001;Chave et al, 2014;Istrefi et al, 2019). But, DBH as single independent variable has shown lower efficiency in model selection parameters of this study.…”

Section: Discussionmentioning

confidence: 81%

Development and Evaluation of Species-Specific Biomass Models for Most Common Timber and Fuelwood Species of Bangladesh

Hossain¹,

Siddique²,

Abdullah³

et al. 2020

OJF

View full text Add to dashboard Cite

Allometric biomass models are efficient tools to estimate biomass of trees and forest stands in a non-destructive way. Development of species-specific allometric biomass models requires extensive fieldwork and time. Our study aimed to generate species-specific allometric biomass models for the most common fuelwood and timber species of Bangladesh. We also wanted to evaluate the performances of our models relative to the performances of regional and commonly used pan-tropical biomass models. We used semi-destructive method that incorporates tree-level volume, species-specific biomass expansion factor (BEF), and wood density. We considered four base models, 1) Ln (biomass) = a + bLn (D); 2) Ln (biomass) = a + bLn (H); 3) Ln (Biomass) = a + bLn (D^2H); 4) Ln (Biomass) = a + bLn (D) + cLn (H) to develop species-specific best-fitted models for Total Above-Ground Biomass (TAGB) and stem biomass. The best-fitted model for each species was selected by the lowest value of Akaike Information Criterion (AIC), Residual Standard Error (RSE) and Root Mean Square Error (RMSE). The derived best-fitted models were then evaluated with respect to regional and pan-tropical models using a separate set of observed data. This evaluation was conducted by computing ME (Model Efficiency) and MPE (Model Prediction Error). The best-fitted allometric biomass models have shown higher model efficiency (0.85 to 0.99 at scale 1) and the lowest model prediction error (−8.94% to 5.27%) compared to the regional and pan-tropical models. All the examined regional and pan-tropical biomass models showed different magnitude of ME and MPE.

show abstract

Allometric biomass equations for young trees of four broadleaved species in Albania

Cited by 7 publications

References 37 publications

Allometric equations and height-diameter models for estimating above-and below-ground biomass of Colophospermum mopane J.Léonard. in Mozambique

Allometric equations and height-diameter models for estimating above-and below-ground biomass of Colophospermum mopane J.Léonard. in Mozambique

Carbon storage and energy production of Eucalyptus urophylla developed in dryland ecosystems at East Nusa Tenggara

Development and Evaluation of Species-Specific Biomass Models for Most Common Timber and Fuelwood Species of Bangladesh

Contact Info

Product

Resources

About