Allometric Models for Estimating Tree Volume and Aboveground Biomass in Lowland Forests of Tanzania

Mugasha, Wilson Ancelm; Mwakalukwa, E.E.; Luoga, E. J.; Malimbwi, R. E.; Zahabu, Eliakimu; Silayo, Dos Santos; Sola, Gaël; Crete, Philippe; Henry, Matieu; Kashindye, Almas

doi:10.1155/2016/8076271

Cited by 48 publications

(65 citation statements)

References 25 publications

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“…The general nonlinear forms used in this study have adequate mathematical properties and have performed satisfactorily in previous studies [7,[18][19][20].…”

Section: Discussionmentioning

confidence: 74%

“…The importance of using NLP is well explained by Mugasha et al [7]. However, (4) to (6) were log transformed in order to address heteroscedasticity [22,23].…”

Section: Discussionmentioning

confidence: 99%

“…Although these models provide useful volume estimation insights into most or wider forest management applications [4], site and species specific volume modelling would precisely guide operational decisions affecting commercial timber plantation management in Malawi [7]. Development of localised models would not only help to maximise timber value but also help to identify key variable constructs of the model.…”

Section: Introductionmentioning

confidence: 99%

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Site Specific Stem Volume Models for Pinus patula and Pinus oocarpa

Malata

Ngulube

Missanjo³

2017

International Journal of Forestry Research

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Sustainable management of timber forests requires availability and adequacy of models for accurate estimation of tree volumes. This study was conducted to develop site specific models for estimating individual total tree stem volume of Pinus patula and Pinus oocarpa at Chongoni Timber Plantation in Central Malawi. A total of 32 trees from Pinus patula compartment and 48 trees from Pinus oocarpa compartment were destructively sampled. Various predictors including diameter at breast height (dbh) and height (ht) were run against total stem volume using a nonlinear mixed-effects modelling approach. The results indicate that the developed site specific models showed a significant association between total stem volume and the predictors (dbh and ht). The developed volume models accounted for at least 99% of the total variation in the total stem volume data. This suggests that application of the developed site specific models is highly recommended when accurate results are required. The appropriateness of the developed models was also supported by the fact that the total relative errors (TRE) of these models were lower (range: −0.04% to 0.06%) than the TRE of some previously developed models (range: −12.40% to 41.70%) tested on the present data.

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“…The general nonlinear forms used in this study have adequate mathematical properties and have performed satisfactorily in previous studies [7,[18][19][20].…”

Section: Discussionmentioning

confidence: 74%

“…The importance of using NLP is well explained by Mugasha et al [7]. However, (4) to (6) were log transformed in order to address heteroscedasticity [22,23].…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Site Specific Stem Volume Models for Pinus patula and Pinus oocarpa

Malata

Ngulube

Missanjo³

2017

International Journal of Forestry Research

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“…Thus, it is expected the H-D relationships and stem volume models to vary from site to site (Sharma & Zhang 2004, Adame et al 2008). This justifies the use of site-specific models (Mugasha et al 2016), as the H-D relationships are largely influenced by site index (Adame et al 2008) and habitat (Huang et al 2000). Thus, the regression parameters of H-D and stem volume equations are expected to vary from one growing site to another, as trees from the same growing site tend to be more similar to each other than to trees from different growing sites.…”

Section: Discussionmentioning

confidence: 99%

Site-specific height-diameter and stem volume equations for Lebombo-ironwood

Magalhães¹

2017

Ann. For. Res.

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T.M. MagalhãesMagalhães T.M., 2017. Site-specific height-diameter and stem volume equations for Lebombo-ironwood. Ann. For. Res. 60(2): 297-312.Abstract. Height-diameter (H-D) and stem volume equations are indispensable tools for forest management and have a wide use in forestry, however they are lacking for Lebombo-ironwood. Based on a dataset of 1144 Lebombo-ironwood trees destructively measured for height and stem volume, H-D and stem volume models were fitted using mixed-effects and dummy variables models. Random-effects and dummy variables were the different growing sites, as they affect H-D relationships and therefore stem volume models. Different model forms were compared to each other with regard to the sources of errors. The error due to uncertainty in the model parameter estimates was insignificant for mixed-effects models, whilst the error due to model misspecification was relatively larger for dummy variables H-D functions when compared to the mixed-effects ones. However, both mixed-effects and dummy variables models were similar in terms of error due to residual variability around model prediction. Overall, mixed-effects and dummy variables models did not differ in terms of predictive ability and accuracy.

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“…They also developed allometric relationships between the stem DBH, stem diameter at ground and leaf, stem and total root biomass. Mugasha et al (2016) developed site-specific and general models for estimating total tree volume and aboveground biomass in Tanzania forests. Biomass allometric models which include basic wood density are highly recommended for the improved estimate accuracy when such information is available.…”

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confidence: 99%

Estimating the aboveground carbon sequestration and its economic value (case study: Iranian Caspian forests)

Mohammadi¹,

Limaei²,

Lohmander³

et al. 2017

J. For. Sci.

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Mohammadi Z., Mohammadi Limaei S., Lohmander P., Olsson L. (2017): Estimating the aboveground carbon sequestration and its economic value (case study: Iranian Caspian forests). J. For. Sci., 63: 511-518.The aim of the study is to estimate the aboveground carbon sequestration and to determine the economic value of forests in carbon sequestration as a way of mitigating climate change. This research was conducted at Asalem forests in the north of Iran. In order to estimate the amount of annual carbon sequestration, the annual volume growth of stand was determined using the diameter increment data and tariff. The amount of carbon sequestration was estimated based on wood density and using the allometric equation. The carbon model was obtained for each species. The value of sequestrated carbon in stumpage and the net present value of carbon sequestration were determined in order to estimate the economic value of carbon sequestration. Results indicated that the annual volume growth per hectare and the carbon stored are 6.023 m 3 ·yr -1 and 2.307 t·ha -1 , respectively. Finally, the carbon sequestration value of stumpage and the net present value of carbon sequestration are 11,023.753 and 790.361 (10,000 IRR·t -1 ·ha -1 ), respectively. Our results are very useful in estimating the total economic value of Asalem forests and other Iranian Caspian forests in the future.

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Allometric Models for Estimating Tree Volume and Aboveground Biomass in Lowland Forests of Tanzania

Cited by 48 publications

References 25 publications

Site Specific Stem Volume Models for Pinus patula and Pinus oocarpa

Site Specific Stem Volume Models for Pinus patula and Pinus oocarpa

Site-specific height-diameter and stem volume equations for Lebombo-ironwood

Estimating the aboveground carbon sequestration and its economic value (case study: Iranian Caspian forests)

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