Allometric biomass, nutrient and carbon stock models for Kandelia candel of the Sundarbans, Bangladesh

Hossain, Mahmood; Saha, Chameli; Abdullah, S. M. Rubaiot; Saha, Sanjoy; Siddique, Mohammad Raqibul Hasan

doi:10.1007/s00468-015-1314-0

Cited by 23 publications

(11 citation statements)

References 40 publications

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“…38.35% AE 5.82% and 44.91% AE 0.89% for 13 species). Hossain et al (2016) found a similar trend in the mangrove species Kandelia candel. However, opposite results have also been found; a lower carbon fraction in stem wood compared to stem bark in the mangrove Kandelia obovata (Khan et al 2007) and an increasing carbon fraction from pith to bark in the sugar maple (Acer saccharum; Lamlom and Savidge 2006).…”

Section: Variation In Carbon Fraction and Wood Specific Gravitysupporting

confidence: 61%

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Inter‐ and intraspecific variation in mangrove carbon fraction and wood specific gravity in Gazi Bay, Kenya

et al. 2018

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Abstract. The tropical mangrove ecosystem harbors great potential for carbon offsetting schemes because of their exceptionally high carbon sequestration potential. These cannot only generate an income for local communities by financially compensating for the non-exploitation of protected or replanted stands, but also simultaneously reduce emissions due to forest degradation and deforestation, thereby helping to counteract the global threat on these forests. As carbon is directly monetized through offsetting carbon emissions, accurate species-specific estimation of carbon content in trees is essential and reduces the propagation of errors generated by accounting uncertainties. Accordingly, this study assessed variation in both carbon fraction and wood specific gravity among and within the 10 mangrove species occurring in Gazi Bay, Kenya. Significant interspecific differences were found with values ranging from 45.8% (Avicennia marina) to 49.8% (Ceriops tagal) for carbon fraction and from 0.58 (Sonneratia alba) to 0.93 (Pemphis acidula) for wood specific gravity. The influence of environmental factors (soil salinity, stand density, and elevation a.s.l. as a proxy for multiple interrelated conditions) was investigated, but only elevation a.s.l. appeared to have a species-specific though moderate influence only on carbon fraction. Significant differences in carbon fraction and wood specific gravity were found between stem, aerial roots, and branches of Rhizophora mucronata. In contrast, no significant differences in carbon fraction were found among different stem tissues of A. marina, C. tagal and R. mucronata, the Bay's most abundant species. These results provide insight in carbon content variation, confirming the importance of considering species-specific or even sitespecific values of carbon fraction and wood specific gravity, thereby rendering future carbon accounting more accurate.

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Section: Variation In Carbon Fraction and Wood Specific Gravitysupporting

confidence: 61%

“…Hossain et al. () found a similar trend in the mangrove species Kandelia candel . However, opposite results have also been found; a lower carbon fraction in stem wood compared to stem bark in the mangrove Kandelia obovata (Khan et al.…”

Section: Discussionmentioning

confidence: 67%

Inter‐ and intraspecific variation in mangrove carbon fraction and wood specific gravity in Gazi Bay, Kenya

et al. 2018

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“…An indirect approach using allometric models is the most appropriate option in biomass estimation. The allometric technique initially requires an extensive destructive sampling to establish allometric models, and the models can be used as a non-destructive method to estimate the whole or partial weight of a tree from measurable tree dimensions (e.g., stem diameter and height) [5,6]. The allometric method is so far the most widely used method today, where individual tree data are available from a forest inventory, and it is also considered the most accurate method [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…However, the biomass might differ due to variations in topography, environmental conditions, stand age, species composition, and natural and anthropogenic disturbances, therefore, the use of generalized equations can lead to a bias in estimating biomass for a particular species [13]. To reduce this uncertainty in the estimation of biomass, it is generally best to use species-and site-specific allometric models [6,14]. However, in practical operation, species-specific allometric models may be suitable for temperate and cold regions, where relatively few tree species are found, but not suitable for tropical and subtropical forest, where hundreds of species can coexist in a given area [15,16].…”

Section: Introductionmentioning

confidence: 99%

Site-Specific Allometric Models for Prediction of Above-and Belowground Biomass of Subtropical Forests in Guangzhou, Southern China

Halin

Zhou

et al. 2019

Forests

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Tree allometric models that are used to predict the biomass of individual tree are critical to forest carbon accounting and ecosystem service modeling. To enhance the accuracy of such predictions, the development of site-specific, rather than generalized, allometric models is advised whenever possible. Subtropical forests are important carbon sinks and have a huge potential for mitigating climate change. However, few biomass models compared to the diversity of forest ecosystems are currently available for the subtropical forests of China. This study developed site-specific allometric models to estimate the aboveground and the belowground biomass for south subtropical humid forest in Guangzhou, Southern China. Destructive methods were used to measure the aboveground biomass with a sample of 144 trees from 26 species, and the belowground biomass was measured with a subsample of 116 of them. Linear regression with logarithmic transformation was used to model biomass according to dendrometric parameters. The mixed-species regressions with diameter at breast height (DBH) as a single predictor were able to adequately estimate aboveground, belowground and total biomass. The coefficients of determination (R2) were 0.955, 0.914 and 0.954, respectively, and the mean prediction errors were −1.96, −5.84 and 2.26%, respectively. Adding tree height (H) compounded with DBH as one variable (DBH2H) did not improve model performance. Using H as a second variable in the equation can improve the model fitness in estimation of belowground biomass, but there are collinearity effects, resulting in an increased standard error of regression coefficients. Therefore, it is not recommended to add H in the allometric models. Adding wood density (WD) compounded with DBH as one variable (DBH2WD) slightly improved model fitness for prediction of belowground biomass, but there was no positive effect on the prediction of aboveground and total biomass. Using WD as a second variable in the equation, the best-fitting allometric relationship for biomass estimation of the aboveground, belowground, and total biomass was given, indicating that WD is a crucial factor in biomass models of subtropical forest. Root-shoot ratio of subtropical forest in this study varies with species and tree size, and it is not suitable to apply it to estimate belowground biomass. These findings are of great significance for accurately measuring regional forest carbon sinks, and having reference value for forest management.

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“…The allometric models depict relationship between different variables related to trees including diameter at breast height (DBH), height of the tree trunk, total height of the tree, crown diameter, height-diameter ratio (H/D), tree species richness, etc. (Hossain et al, 2016a;Islam et al, 2017). The choice of these variables varied among different studies.…”

Section: Variables Consideredmentioning

confidence: 99%

State of research on carbon sequestration in Bangladesh: a comprehensive review

Majumder

Islam

Hossain

2018

Geology, Ecology, and Landscapes

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A deep interest is evident in carbon sequestration modeling in Bangladesh from the development of several allometric equations to estimate carbon sequestration by plants. It is linked to the evolving carbon offsetting approaches, for example, Clean Development Mechanism (CDM) and the REDD+, which require certifiable estimate of carbon captured by trees and forests. This review compiled a snapshot of state of the art in carbon modeling in Bangladesh. More than half of the published research focused on the development of allometric equations and forest carbon estimation. The comparison among available studies was challenging due to the use of different terminologies and assumptions and arbitrary combinations of parameters including age, topography, season, slope, crown diameter, etc. The spatial distribution of reports indicated narrow geographical focus outside forests in Chittagong and Sundarbans. Surprisingly, no attempts were evident to explore carbon stocks at the Chittagong Hill Tracts (CHTs) where majority of pristine forest areas of the country occurs. Bangladesh is likely to reforest the vast deforested areas in CHTs under CDM and REDD+ projects which requires extensive carbon modeling. Majority of the reports used conversion factor to calculate soil carbon instead of analytical estimation which might cause inaccurate estimation of soil carbon. Blue carbon assessment and policy implication of carbon studies are two areas where insufficient attention is evident. Bangladesh apparently needs to conduct wide-scale carbon modeling through the integration of GIS, remote sensing, etc to increase precision and accuracy of carbon stock assessments. .

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Allometric biomass, nutrient and carbon stock models for Kandelia candel of the Sundarbans, Bangladesh

Cited by 23 publications

References 40 publications

Inter‐ and intraspecific variation in mangrove carbon fraction and wood specific gravity in Gazi Bay, Kenya

Inter‐ and intraspecific variation in mangrove carbon fraction and wood specific gravity in Gazi Bay, Kenya

Site-Specific Allometric Models for Prediction of Above-and Belowground Biomass of Subtropical Forests in Guangzhou, Southern China

State of research on carbon sequestration in Bangladesh: a comprehensive review

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