Formulating allometric equations for estimating biomass and carbon stock in small diameter trees

Singh, Vishal; Tewari, Ashish; Kushwaha, S. P. S.; Dadhwal, V. K.

doi:10.1016/j.foreco.2011.02.019

Cited by 66 publications

(40 citation statements)

References 17 publications

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“…Vogt et al (1995) reported 40 %-62 % of total ecosystem C contained in living biomass, and SOM contained 33 %-50 % of the total. Rate of accumulation of total biomass C stock was found 3.25 Mg C ha -1 year -1 , which is close to the study of Shrestha and Lal (2010) and Singh et al (2011) and it will take about 17 years to reach the level of C stock of reference forest site (Table 9). Most noticeable amount of tree C increased from 5-year stands (0.3 Mg C ha -1 ) to 11-year stands (53.8 Mg C ha -1 ) (Avera et al 2015) and decreases gradually.…”

Section: Future Projection Of C Stocksupporting

confidence: 84%

“…Total 5 replicate of samples were collected from the study site. Samples were dried in an oven at 80°C to constant weight to obtain the moisture free dry weight as followed by others (Karu et al 2009;Singh et al 2011) and expressed as Mg ha -1 C stock was calculated by multiplying a factor 0.4 assuming 40 % carbon present in the litter.…”

Section: Collection Of Understorey Vegetation and Litter And Estimatimentioning

confidence: 99%

“…In Indian mining conditions (revegetated minespoils of 19 years age, Singrauli, India) C accumulation by litter component was estimated 2.80 Mg C ha -1 @ 0.15 Mg C ha -1 year -1 (Tripathi et al 2014), which is higher than the present study. Studies reported that, with increase age of vegetation C stock in the understorey vegetation and litter fall also increases (Amichev et al 2008;Singh et al 2011). …”

Section: Stock In Understorey Vegetation and Litter And Co 2 Sequesmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of carbon sequestration in reclaimed coalmine degraded land dominated by Albizia lebbeck, Dalbergia sissoo and Bambusa arundinacea plantation: a case study from Jharia Coalfields, India

Das

Maiti

2016

Int J Coal Sci Technol

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Reclaimed mined lands provide an excellent opportunity to sequester carbon and combat global warming. Carbon sequestration on reclaimed sites depend on age of reclamation, composition of species, geomining conditions (soil characteristics) and prevailing climate. The aims of the present study were to calculate carbon (C)-stock of biomass of 4 years old plantation (dominated by Albizia lebbeck, Dalbergia sissoo and Bambusa arundinacea), understorey vegetation and litter, soil organic carbon in reclaimed minesoil (RMS) and compare with reference forest site. Allometric equation was used for the estimation of biomass C stock and found 13.0 Mg C ha -1 (A lebbeck 7.8 Mg C ha -1 , D sissoo 3.5 Mg C ha -1 and B. arundincea 1.2 Mg C ha -1 ), while stock of understorey vegetation was 0.98 Mg C ha -1 . In RMS, C stock was 16.3 Mg C ha -1 , out of which inorganic C contributed 1.7 g kg -1 (8 % of total soil C), Coal C 8.7 g kg -1(43 % of total soil C) and biogenic C 9.8 g kg -1 (49 % of total soil C). Total C stock in reclaimed site was calculated as 30.3 Mg C ha -1 (equivalent to 111 Mg CO 2 ha -1 ). The study concluded that (i) coal C is responsible for overestimation of C stock in RMS (ii) Maximun C stock stored in aboveground biomass component and (iii) reclaimed mined lands will take approximately 17 years to reach the level of C stock of reference forest site in dry tropical climate.

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Section: Future Projection Of C Stocksupporting

confidence: 84%

Section: Collection Of Understorey Vegetation and Litter And Estimatimentioning

confidence: 99%

Section: Stock In Understorey Vegetation and Litter And Co 2 Sequesmentioning

confidence: 99%

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Estimation of carbon sequestration in reclaimed coalmine degraded land dominated by Albizia lebbeck, Dalbergia sissoo and Bambusa arundinacea plantation: a case study from Jharia Coalfields, India

Das

Maiti

2016

Int J Coal Sci Technol

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“…The model forms and prediction variables for developing biomass equations were derived from various investigations [6,17,34,39,47,48]. In our study, we choose three variables (basal diameter, total height and crown area) and four models (linear, quadratic, multiple and logarithmic regression) to develop species-specific and multispecies equations for BGB, AGB and TB.…”

Section: Discussionmentioning

confidence: 99%

Biomass Equations for 24 Understory Species in Coniferous and Broadleaved Mixed Forests in Northeastern China

Zhang

et al. 2016

Preprint

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Understory plants are important components of forest ecosystem productivity and diversity. Compared to biomass models of overstory canopy trees, few are available for understory saplings and shrubs and therefore their roles in estimation of forest carbon pools are often ignored. In this study, we harvested 24 understory species including 4 saplings, 9 tree-like shrubs and 11 typical shrubs in coniferous and broadleaved mixed forest in northeastern China and developed the best fit allometric equations of above-and below-ground and total biomass by species-specific or multispecies using morphological measurements of basal diameter, height and crown area as independent variables. The result showed that single basal diameter, height or crown area had good explanatory power for both species-specific and multispecies (p<0.001). The best-fit models included only basal diameter in sapling and tree-like shrubs, and combinations of crown area, height, and basal diameter in typical shrubs. The logarithmic model was most desired among the 4 model forms of linear, quadratic, multiple linear and logarithmic, for species-specific and multispecies. The models we developed should help the estimation of forest ecosystem carbon stocks, especially for belowground component, and provide tools for quantification of individual species biomass of understory plants.

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“…As a result, available woody biomass and the carbon stored at early stages are often neglected. Only a few studies address the estimation of small diameter tree biomass in tropical dry forests [14,17], in temperate deciduous forest [15,18], and in temperate pine forest [19]. Ideally, the biomass equations should be developed covering all size classes without discontinuity at any tree size.…”

Section: Introductionmentioning

confidence: 99%

Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management

Eker

Poudel

Özçelık

2017

Forests

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Brutian pine (Pinus brutia Ten.) is the most widespread conifer species in the Eastern Mediterranean. Aboveground biomass equations for small diameter brutian pine trees are needed for accurate fuel inventory and to assess carbon sequestration potential. In this study, we developed tree biomass models based on 143 brutian pine saplings measured in 11 research plots. Aboveground biomass (AGB) was modeled with a nonlinear mixed effects model which accounted for the variability among plots. The predicted total AGB was then distributed into foliage, branch and stem components. The Beta, Dirichlet, and multinomial logistic regressions were unbiased in their estimates of biomass component proportions. The Dirichlet regression has the advantage of an additive property and does not require non-standard data.

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Formulating allometric equations for estimating biomass and carbon stock in small diameter trees

Cited by 66 publications

References 17 publications

Estimation of carbon sequestration in reclaimed coalmine degraded land dominated by Albizia lebbeck, Dalbergia sissoo and Bambusa arundinacea plantation: a case study from Jharia Coalfields, India

Estimation of carbon sequestration in reclaimed coalmine degraded land dominated by Albizia lebbeck, Dalbergia sissoo and Bambusa arundinacea plantation: a case study from Jharia Coalfields, India

Biomass Equations for 24 Understory Species in Coniferous and Broadleaved Mixed Forests in Northeastern China

Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management

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