Aboveground Woody Biomass, Carbon Stocks Potential in Selected Tropical Forest Patches of Tripura, Northeast India

Majumdar, K. C.; Choudhary, Bal Krishan; Datta, Badal Kumar

doi:10.4236/oje.2016.610057

Cited by 21 publications

(8 citation statements)

References 17 publications

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“…In addition to the carbon stocks, savannahs harbour a vast number of plant species and are important for global biodiversity (Abreu et al 2017). These plant species support ecosystem functions (Abreu et al 2017) and play a substantial role in the global carbon cycle (Majumdar et al 2016). However, tree cover in the savannahs is affected by deforestation and degradation, leading to climate change and biodiversity loss (Strassburg et al 2010, Thomas et al 2004, Talbot 2010.…”

Section: Introductionmentioning

confidence: 99%

Relationship between carbon stocks and tree species diversity in a humid Guinean savanna landscape in northern Sierra Leone

Amara

Heiskanen

Aynekulu

et al. 2019

Southern Forests: a Journal of Forest Science

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Global sustainable development goals include reducing greenhouse gas emissions from land use change and maintaining biodiversity. Many studies have examined carbon stocks and tree species diversity, but few have studied the humid Guinean savannah ecosystem. This study focuses on a humid savannah landscape in Northern Sierra Leone, aiming to assess carbon stocks and tree species diversity and compare their relationships in different vegetation types. We surveyed 160 sample plots (0.1 ha) in the field for tree species, aboveground carbon (AGC) and soil organic carbon (SOC). In total, 90 tree species were identified in the field. Gmelina arborea, an exotic tree species common in the foothills of the Kuru Hills Forest Reserve, and Combretum glutinosum, Pterocarpus erinaceous and Terminaria glaucescens, typical savannah trees, were the most common species. At landscape level, the mean AGC stock was 29.4 Mg C ha-1 (SD 21.3) and mean top-soil (0-20 cm) SOC stock was 42.2 Mg C ha-1 (SD 20.6). Mean tree species richness and Shannon index per plot were 7 (SD 4) and 1.6 (SD 0.6), respectively. Forests and woodlands had significantly higher mean AGC and tree species richness than bushland, wooded grassland or cropland (p < 0.05). In the forest and bushland, a small number of large diameter trees covered a large share of the total AGC stocks. Furthermore, a moderate linear correlation was found between AGC and tree species richness (r = 0.475, p < 0.001) and AGC and Shannon index (r = 0.375, p < 0.05). The correlation between AGC and SOC was weak (r = 0.17, p < 0.05). The results emphasize the role of forests and woodlands and large diameter trees in retaining AGC stocks and tree species diversity in the savannah ecosystem.

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Section: Introductionmentioning

confidence: 99%

Relationship between carbon stocks and tree species diversity in a humid Guinean savanna landscape in northern Sierra Leone

Amara

Heiskanen

Aynekulu

et al. 2019

Southern Forests: a Journal of Forest Science

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“…As the culm density plays an important role in the level of aboveground biomass indicated by the correlation results, the increment in culm density especially in the older age class in the second year can be the determining factor for the amount of aboveground biomass. The present culm densities were higher than 7171culms/ha of Bambusa vulgaris from Ghana 20 (Table 5 ); from moso bamboo of China which reported a range of 3400–4220 culms/ha 21 ; from Majumdar et al 22 which reported 1088 culms/ha of Bambusa tulda from Tripura Northeast India; 1860 culms/ha of Bambusa tulda and 1364 culms/ha of Dendrocalamus strictus from Northern India 23 ; 7365 culms/ha of village bamboo grove from Assam Northeast India 19 and 2933 culms/ha of Bambusa vulgaris from Bangladesh 24 . However the present range was lower than Singnar et al 10 which reported a culm density of 39,075 culms/ha of Melocanna baccifera a monopodial bamboo from Assam.…”

Section: Discussionmentioning

confidence: 48%

“…A comparative study of aboveground biomass, C-storage and rate of C-sequestration is provided in Table 5 . The present rate of C-storage in aboveground biomass was higher than 20.92 Mg/ha of Bambusa tulda 22 ; 6.47 Mg/ha of Dendrocalamus strictus 23 and 13.96 Mg/ha of moso bamboo 26 . In some studies provided in Table 5 , the C-storage in aboveground biomass was not given.…”

Section: Discussionmentioning

confidence: 66%

Carbon storage and sequestration potential in aboveground biomass of bamboos in North East India

Devi

Singh

2021

Sci Rep

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The Northeastern hilly states of India harbor nearly 90 species of bamboos, 41 of which are endemic to the region. Estimation of C-storage and C-sequestration in aboveground biomass of two common bamboo species namely Bambusa tulda and Dendrocalamus longispathus was carried out in Mizoram-one of the eight states of Northeastern India. Recording of density of culms was done by quadrate method and harvesting of culms was done to estimate the aboveground biomass. C-storage in different components of the culms was found out for three age classes namely 1, 2 and ≥ 3 year old culms. Aboveground biomass ranged from 73.58 to 127 Mg/ha in Bambusa tulda and 115 to 150 Mg/ha in Dendrocalamus longispathus. Culm density and aboveground biomass were maximum in the ≥ 3 year age class in both the species. C-storage ranged from 36.34 to 64.00 Mg/ha in Bambusa tulda and 50.11 to 65.16 Mg/ha in Dendrocalamus longispathus. Although having lower aboveground biomass the rate of C-sequestration was higher in Bambusa tulda with 27.79 Mg/ha/year than Dendrocalamus longispathus which have 15.36 Mg/ha/year. The reason was attributed to higher increment of culm density and DBH of the older age class in the second year study period in Bambusa tulda.

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“…Limited research carried out has used more than one or two indices for introduction and the analysis of patches [28]. However, in the present research, several metrics have been taken to quantify the spatial properties of the patches and its interpretation with the landscape ecology approach [29]. In fact, in this study the principles of the landscape ecology, a subset of ecology and geography; have been used to distribute and to disperse patches in different geographical directions, to change and to interpret in each direction.…”

Section: Discussionmentioning

confidence: 99%

Assessment Capability Forest Regeneration in Different Geographical Aspects Approach Landscape Ecology

Karami¹,

Karimi²,

Shahi³

2017

OJE

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In order to determine the relationship between physiographical factors and regeneration changes in forests, and to improve and model natural regeneration status, Gorazbon district in Kheyrod Forest was selected for the study. All available regeneration patches in the area were selected. To achieve spatial structure and quantify metrics related to regeneration patches, the analysis of landscape metrics was used. The results show that 692 regeneration patches were identified at the level of different directions. LAND Metric show the most regeneration percent is related to the western (9%), southern (8.66%), flat areas (8.33%), northern (5.68%) and eastern (4.73%), respectively. In total, the patch coverage level percentage was calculated in the landscape (8.31%). The results related to patch shape metric show that most shapes of patches follow polygon structures and do not have fixed shapes. Results related to the average area of the patch metric show that the average level of patches is between 4 and 5 R. The maximum and minimum distance between patches was observed in the survey between 39 and 520 m respectively. According to the results of the distance average between patch metric, the distribution of patches is random in the southern and western directions, flat areas and pile, but it is uniform in northern directions. It should be noted that the distribution and structure of patches in the northern directions has a better distribution and homogeneity than the other directions. Its canals are used as a natural regeneration model to follow the natural phenomena in forest sustainable management.

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Aboveground Woody Biomass, Carbon Stocks Potential in Selected Tropical Forest Patches of Tripura, Northeast India

Cited by 21 publications

References 17 publications

Relationship between carbon stocks and tree species diversity in a humid Guinean savanna landscape in northern Sierra Leone

Relationship between carbon stocks and tree species diversity in a humid Guinean savanna landscape in northern Sierra Leone

Carbon storage and sequestration potential in aboveground biomass of bamboos in North East India

Assessment Capability Forest Regeneration in Different Geographical Aspects Approach Landscape Ecology

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