scholarly journals Carbon Stock Density of the Different Carbon Pools in Tulu Lafto Forest and Woodland Complex: Horo Guduru Wollega Zone, Oromia Region, Ethiopia

2021 ◽  
Vol 9 (1) ◽  
pp. 37
Author(s):  
Fekadu Gurmessa ◽  
Bikila Warkineh ◽  
Sebsebe Demissew ◽  
Teshome Soromessa
Keyword(s):  
Carbon Stock ◽  
Carbon Pools ◽  
Carbon Stock Density

scholarly journals Monitoring vegetation dynamics and carbon stock density in miombo woodlands

2013 ◽  
Vol 8 (1) ◽  
Author(s):  
Natasha S Ribeiro ◽  
Céu N Matos ◽  
Isabel R Moura ◽  
Robert A Washington-Allen ◽  
Ana I Ribeiro
Keyword(s):  
Vegetation Dynamics ◽  
Carbon Stock ◽  
Miombo Woodlands ◽  
Carbon Stock Density

scholarly journals Quantification of carbon stock under different land use regimes of Chitwan district, Nepal

2019 ◽  
Vol 29 (2) ◽  
pp. 13-19
Author(s):  
A. Poudel ◽  
H. L. Shrestha ◽  
R. M. Bajracharya
Keyword(s):  
Land Use ◽  
Soil Profile ◽  
Carbon Stock ◽  
Agricultural Land ◽  
Terrestrial Ecosystems ◽  
Combustion Method ◽  
Community Forest ◽  
Soc Density ◽  
Carbon Stock Density ◽  
Global Carbon

Carbon sequestration in terrestrial ecosystems is gaining a global attention, including Nepal, to address the issues of climate change. Since, the quantification of carbon stock under different land use systems with focus on both biomass and soil profile is lacking, objective of this paper is to quantify carbon stock in biomass and in soil profile under different land use regimes, namely community forest, leasehold forest and agricultural land of Chitwan district. The carbon stock in biomass was calculated using the standard allometric equations, and Dry Combustion Method was used to determine the Soil Organic Carbon (SOC). The carbon content in above ground tree biomass (AGTB) was found to be higher (81.25 t/ha) in community forest than in leasehold forest (80.09 t/ha). The carbon stock in above ground sapling biomass (AGSB) was calculated only for the community forest, and was found to be 3. 67 t/ha. Similarly, the density of leaf litter, herbs and grasses (LHG) was also found to be higher (9. 25 t/ha) in the community forest in comparison to leasehold forest (6.45 t/ha). Further, the root carbon stock density was also higher (16.25 t/ha) in the community forest than in the leasehold forest (16.02 t/ha). However, the SOC density was highest in the agricultural land (73.42t/ha) followed by the community forest (66.38 t/ha)and the leasehold forest (52. 62 t/ha). Overall, the carbon stock was highest in the community forest (176.8 t/ha) then in leasehold forest (155.18 t/ha) followed by the agricultural land (73.42 t/ha). Hence, this study shows that well managed community forest can contribute significantly in offsetting global carbon emission.

scholarly journals Carbon stock density in planted versus natural Pinus massoniana forests in sub-tropical China

2016 ◽  
Vol 73 (2) ◽  
pp. 461-472 ◽  
Author(s):  
Long-Chi Chen ◽  
Meng-Jie Liang ◽  
Si-Long Wang
Keyword(s):  
Carbon Stock ◽  
Pinus Massoniana ◽  
Carbon Stock Density ◽  
Tropical China

Carbon Sequestration Potential of Kpashimi Forest Reserve, Niger State, Nigeria

2014 ◽  
Vol 3 (12) ◽  
pp. 145-158
Author(s):  
Abdullahi Jibrin ◽  
Sule Mohammed Zubairu ◽  
Aishatu Abdulkadir ◽  
Sakoma J Kaura ◽  
Amos Bitrus Baminda
Keyword(s):  
Carbon Sequestration ◽  
Carbon Stock ◽  
Riparian Forest ◽  
Forest Degradation ◽  
Forest Reserve ◽  
Vegetation Communities ◽  
Carbon Sequestration Potential ◽  
Carbon Biomass ◽  
Sequestration Potential ◽  
Carbon Stock Density

This study provides a preliminary assessment of the biophysical potential for carbon sequestration. Quantification of carbon stock and estimation of carbon sequestration potential was carried out in the Kpashimi Forest Reserve, Niger state, Nigeria. Carbon stock was measured in the six vegetation communities existing in the study area. Forty-eight randomly selected 20 x 20 metre quadrats were established wherein data was collected from the main forest carbon pools; including above ground tree, below ground root, undergrowth (shrub grasses), dead wood, litter and soil organic carbon. Biomass of the respective pools was quantified by destructive sampling and use of allometric equations. Thereafter, biomass values were converted to carbon stock equivalent. Four satellite imageries TM, SPOT, ETM+, and NIGERIASAT-1 of 1987, 1994, 2001 and 2007 respectively were used to estimate vegetation cover and carbon stock change over 20 years. The results showed that average carbon stock density (Mg C/ha) of the vegetation communities was in the decreasing order; Riparian forest (123.58 ± 9.1), Savanna woodland (97.71 ± 8.2), Degraded forest (62.92 ± 6.1), Scrubland (36.28 ± 4.1), Grassland (18.22 ± 5.1), and bare surface (9.31 ± 3.1). Deforestation and forest degradation between 1987 and 2007 have resulted in emission of 240.2 Mg (ton) C ha-1 at an annual rate of 12.01 Mg C ha-1. This suggests that the study site has carbon sequestration potential of 240.2 Mg C ha-1 based on its capacity to increase carbon stock through restoration; back to speculated 1987 levels and even higher. Thus, the study recommends the need to analyse carbon offset project feasibility in the study area.

scholarly journals A comparative study on carbon stock in Sal (Shorea robusta) forest in two different ecological regions of Nepal

2016 ◽  
Vol 26 (1) ◽  
pp. 24-31 ◽  
Author(s):  
H. P. Pandey ◽  
M. Bhusal
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Stock ◽  
Total Carbon ◽  
Soil Horizon ◽  
Biomass Carbon ◽  
Shorea Robusta ◽  
Ecological Regions ◽  
Carbon Stock Density ◽  
The Hill

Estimation of total biomass and carbon sequestration in any forest is crucial as it gives ecological and economic benefits through various environmental services. With an aim to quantify the carbon stock densities in the two different ecological regions–the Hills and the Terai, two Community Forests (CFs) having the dominance of Shorea robusta were selected from Gorkha (in the Hills) and Chitwan (in the Terai) districts for the purpose of the study. Systematic random sampling with 1% sampling intensity was used to collect necessary data. The total carbon stock in the CFs of the Hills and the Terai were found to be 234.54 t ha-1 and 479.29 t ha-1, respectively. The biomass carbon stock density in the CF of the Terai was found to be higher (384.20 t ha-1) than the one in the Hills (123.15 t ha-1). Carbon densities of different carbon pools such as tree; sapling; leaf litter, grass and herbs were significantly higher (P<0.05) in the Terai than in the Hill forest whereas dead wood and stumps and the soil organic carbon density were found to be not significantly different in these regions. Similarly, the highest amount of soil organic carbon (SOC) was found in the uppermost soil horizon in the forests of both the regions. These results revealed that the biomass carbon stock density was higher in the Terai S. robusta forest than in the Hill S. robusta forest. However, the SOC obtained was in inverse relation to that of the biomass carbon stock in both the ecological regions. It would not be biased if different ecological regions with similar forest types are intervened with different management strategies for having more carbon stocks and for the conservation of biodiversity in the days to come.Banko JanakariA Journal of Forestry Information for NepalVol. 26, No. 1, Page: 24-31, 2016

Self-restoration of post-agrogenic soils of Calcisol–Solonetz complex: Soil development, carbon stock dynamics of carbon pools

Geoderma ◽  
2015 ◽  
Vol 237-238 ◽  
pp. 117-128 ◽  
Author(s):  
Olga Kalinina ◽  
A.N. Barmin ◽  
O. Chertov ◽  
A.V. Dolgikh ◽  
S.V. Goryachkin ◽  
...  
Keyword(s):  
Carbon Stock ◽  
Soil Development ◽  
Carbon Pools

scholarly journals Forest carbon stock in Left-bank Forest-Steppe of Ukraine according to intensive forest monitoring data

2020 ◽  
pp. 120-130
Author(s):  
Volodymyr Pasternak ◽  
Tetiana Pyvovar ◽  
Volodymyr Yarotsky
Keyword(s):  
Carbon Stock ◽  
Dead Wood ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Forest Monitoring ◽  
Carbon Pools ◽  
Forest Steppe ◽  
Left Bank ◽  
Forest Stands ◽  
Pine Stands

The issues of carbon stock and dynamic in different carbon pools in forest stands of Left-bank Forest-steppe of Ukraine are considered. The aim of the study was to evaluate carbon stocks and their changes in main pools: trees biomass and mortmass. Data of two repeated observations on 19 permanent intensive forest monitoring plots in Kharkiv and Sumy regions were used. Conversion method was used. Study of increment and mortality dynamics at monitoring plots showed, that two processes impact carbon balance: biotic damage which leads to trees dieback, and partial removal of dead wood from stands. Oak stands have, on average, higher carbon stock in trees biomass and mortmass (102.9 t С ha-1) than the pine stands (98.7 t С ha-1), which is associated with a higher representation of mature and overmature oak stands. While comparison by age classes showed that pine stands, in general, have higher values of C in trees biomass, due to higher productivity. The increase in carbon stocks with age is observed. The annual change of C stock in trees biomass is the highest in younger stands, and it decreases with age; while in mortmass it increases. Mature and overmature oak stands have negative trees biomass and positive dead wood growth. At age 81-100 years oak forest stands have higher carbon storage capacity than pine (total carbon stock in main pools (biomass, mortmass, litter and soils (30-cm layer)) is 191.7 t C ha-1 for oak and 175.4 t C ha-1 for pine stands). Trees biomass carbon prevails among other pools (50.3 % in oak forests, and 57.6% in pine), the next is soil carbon pool (45.9 and 29.0%, respectively). National forest inventory will provide data for assessments of carbon stocks and dynamics in trees biomass and mortmass pools. However, forest soil monitoring is necessary to evaluate carbon pools in soils and litter.

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