Biomass determination of fuelwood trees and bushes of Botswana, Southern Africa

Tietema, T.

doi:10.1016/0378-1127(93)90083-y

Cited by 58 publications

(32 citation statements)

References 5 publications

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“…Our result is also in line with the findings of Tietema (1993), Malimbwi et al (1994), Ståhl (1998), andYigardu (2001). Actual model performance, expressed as a goodness of fit, depended on both species involved and the biomass component estimated in our study.…”

Section: Discussionsupporting

confidence: 93%

Carbon stocks and sequestration potential of dry forests under community management in Tigray, Ethiopia

et al. 2017

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Introduction: Forests form a major component of the carbon (C) reserves in the world's ecosystems. However, little is known on how management influences C stocks of woody vegetation, particularly in dry areas. We developed regression models for two dominant tree species to predict C stocks and quantified the potential of community managed forests as C sinks. Methods: Plots were randomly selected from community-managed natural forest, herbivore exclosures, and from communal grazing land. Tree and shrub biomass were estimated using a regression model on the most dominant woody species while herbaceous biomass was determined using destructive sampling.Results: The simplest model, based on only one single predictor variable, showed a good fit to the data for both species (Juniperus procera and Acacia abyssinica). Diameter at breast height (r 2 > 0.95) was a more reliable predictor than height (r 2 > 0.54), crown diameter (r 2 > 0.68) (p < 0.001). The C content of the total biomass for the managed natural forest and the exclosure were estimated as, 58.11 and 22.29 Mg ha −1 , respectively, while that for the grazing land was 7.76 Mg ha −1 , and the mean carbon content between the three land uses were significantly different (p < 0.05). Conclusions: We conclude that forests managed by the community have a high potential for C sequestration and storage and their conservation should be promoted.

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Section: Discussionsupporting

confidence: 93%

Carbon stocks and sequestration potential of dry forests under community management in Tigray, Ethiopia

et al. 2017

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“…Total harvesting is generally impractical or inappropriate in shrub studies, so allometric methods have been developed for estimation of total biomass from nondestructive surrogate measurements such as shrub height and diameter at breast/basal level (Smith and Brand 1983;Vora 1988;Buech and Rugg 1989;Tietema 1993). Equations used to estimate plant organ biomass and total biomass are required for better understanding of the carrying capacity of plant communities for several purposes, for example grazing, timber, fuel wood, other non-timber forest products, and the environmental services provided by sequestering CO 2 .…”

Section: Introductionmentioning

confidence: 99%

Biomass equations for four shrub species in subtropical China

Huiqing

Liu

Zhu

et al. 2010

Journal of Forest Research

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Estimation of shrub biomass can provide more accurate estimates of forest biomass and carbon sequestration. We developed species-specific biomass regression models for four common shrub species, Chinese loropetal (Loropetalum chinense), white oak (Quercus fabri), chastetree (Vitex negundo var. cannabifolia), and Gardenia (Gardenia jasminoides), in southeast China. The objective of this study was to derive appropriate regression equations for estimation of shrub biomass. The results showed that the power model and the quadratic model are the most appropriate forms of equation. CA (canopy area, m 2 ) as the sole independent variable was a good predictor of leaf biomass. D 2 H, where D is the basal diameter (cm) and H is the shrub height (cm), is a good predictor of branch and root biomass, except for V. negundo var. cannabifolia and the root biomass of L. chinense. For total biomass, D 2 is the best variable for estimation of L. chinense and G. jasminoides, and D 2 H is the best variable for estimation of Q. fabri and V. negundo var. cannabifolia. Although variables D 2 , D 2 H, and H are the preferred predictors for biomass estimation, CV (canopy projected volume, m 3 ) could be used alone to predict branch, root, and total biomass in shrub species with acceptable accuracy and precision.

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“…A number of equations have also been calculated for C. mopane; however, these studies are all more than 15 years old and their current applicability may need verifying (e.g. Guy 1981;Scholes 1990;Tietema 1993). No specific models have been developed for the evergreen forests found in Zambia.…”

Section: Allometric Equationsmentioning

confidence: 99%