scholarly journals Study on Carbon Stock of Leasehold Forests of Katakuti VDC, Dolakha District

2014 ◽  
Vol 5 ◽  
pp. 63-67
Author(s):  
Tshering Dolma Lama ◽  
Ram Asheshwar Mandal
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Leaf Litter ◽  
Random Sampling ◽  
Carbon Stock ◽  
Carbon Stocks ◽  
Soil Samples ◽  
Total Carbon ◽  
Different Depths ◽  
Total Carbon Stock

A study was carried on ten leasehold forests of Katakuti VDC, Dolakha district to estimate the carbon stock. Random sampling was used to collect the biophysical data of trees/ poles, sapling, root and leaf litter, herb and grass. Then, the biomass was calculated using the respective equation and the calculated biomass stock was converted into carbon stock multiplying with 0.47. Similarly, the soil samples were collectewd from different depths of 0-10 cm, 10-20 cm and 20-30 cm to determine the soil organic carbon. Lastly, all analyzed data were compiled to get total carbon stocks. The result showed that the estimated total carbon stock per ha was found to be highest in Srijana leasehold forest with 125.493 t C/ha. The estimated total carbon stock of 10 leasehold forest was found to be 1439.033 tons. Here, Leasehold forests have been an emerging and successful example in conserving forests in epal. So, it is recommended to extend such studies in other parts of Nepal. DOI: http://dx.doi.org/10.3126/init.v5i0.10255   The Initiation 2013 Vol.5; 63-67

scholarly journals Carbon storage along altitudes in agrisilviculture system- Case study of Devprayag Block, Tehri District, Uttarakhand, India

2020 ◽  
Vol 7 (9) ◽  
pp. 29-38
Author(s):  
K.K. Vikrant ◽  
D.S. Chauhan ◽  
R.H. Rizvi
Keyword(s):  
Climate Change ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Storage ◽  
Carbon Stock ◽  
Total Carbon ◽  
Total Biomass ◽  
Biomass Carbon ◽  
Total Carbon Stock ◽  
Crop Biomass

Climate change is one of the impending problems that have affected the productivity of agroecosystems which calls for urgent action. Carbon sequestration through agroforestry along altitude in mountainous regions is one of the options to contribute to global climate change mitigation. Three altitudes viz. lower (286-1200m), middle (1200-2000m), and upper (2000-2800m) have been selected in Tehri district. Ten Quadrates (10m × 10 m) were randomly selected from each altitude in agrisilviculture system. At every sampling point, one composite soil sample was taken at 30 cm soil depth for soil organic carbon analysis. For the purpose of woody biomass, Non destructive method and for crop biomass assessment destructive method was employed. Finally, aboveground biomass (AGB), belowground biomass carbon (BGB), Total tree Biomass (TTB), Crop biomass (CB), Total Biomass (TB), Total biomass carbon (TBC), soil organic carbon (SOC), and total carbon stock (TC) status were estimated and variables were compared using one-way analysis of variance (ANOVA).The result indicated that AGB, BGB, TTB, CB , TB, TBC, SOC, and TC varied significantly (p < 0.05) across the altitudes. Results showed that total carbon stock followed the order upper altitude ˃ middle altitudes ˃ lower altitude. The upper altitude (2000-2800 m) AGB, BGB,TTB, TBC,SOC, and TC stock was estimated as 2.11 Mg ha-1 , 0.52 Mg ha-1, 2.63 Mg ha-1, 2.633 Mg ha-1, 1.18 Mg ha-1 , 26.53 Mg ha-1, 38.48 Mg ha-1 respectively, and significantly higher than the other altitudes. It was concluded that agrisilviculture system hold a high potential for carbon storage at temperate zones. Quercus lucotrichophora, Grewia oppositifolia and Melia azadirach contributed maximum carbon storage which may greatly contribute to the climate resilient green economy strategy and their conservation should be promoted.

Effects of grazing intensity on organic carbon stock characteristics in Stipa breviflora desert steppe vegetation soil systems

2017 ◽  
Vol 39 (2) ◽  
pp. 169 ◽  
Author(s):  
Heyun Wang ◽  
Zhi Dong ◽  
Jianying Guo ◽  
Hongli Li ◽  
Jinrong Li ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Aboveground Biomass ◽  
Carbon Stock ◽  
Belowground Biomass ◽  
Total Carbon ◽  
Desert Steppe ◽  
Light Fraction Organic Carbon ◽  
Grazing Intensities ◽  
Organic Carbon Stock

Grassland ecosystems, an important component of the terrestrial environment, play an essential role in the global carbon cycle and balance. We considered four different grazing intensities on a Stipa breviflora desert steppe: heavy grazing (HG), moderate grazing (MG), light grazing (LG), and an area fenced to exclude livestock grazing as the Control (CK). The analyses of the aboveground biomass, litter, belowground biomass, soil organic carbon and soil light fraction organic carbon were utilised to study the organic carbon stock characteristics in the S. breviflora desert steppe under different grazing intensities. This is important to reveal the mechanisms of grazing impact on carbon processes in the desert steppe, and can provide a theoretical basis for conservation and utilisation of grassland resources. Results showed that the carbon stock was 11.98–44.51 g m–2 in aboveground biomass, 10.43–36.12 g m–2 in plant litters, and 502.30–804.31 g m–2 in belowground biomass (0–40 cm). It was significantly higher in CK than in MG and HG. The carbon stock at 0–40-cm soil depth was 7817.43–9694.16 g m–2, and it was significantly higher in LG than in CK and HG. The total carbon stock in the vegetation-soil system was 8342.14–10494.80 g m–2 under different grazing intensities, with the largest value in LG, followed by MG, CK, and HG. About 90.54–93.71% of the total carbon in grassland ecosystem was reserved in soil. The LG and MG intensities were beneficial to the accumulation of soil organic carbon stock. The soil light fraction organic carbon stock was 484.20–654.62 g m–2 and was the highest under LG intensity. The LG and MG intensities were beneficial for soil nutrient accumulation in the desert steppe.

scholarly journals The use of radiocarbon <sup>14</sup>C to constrain carbon dynamics in the soil module of the land surface model ORCHIDEE (SVN r5165)

2018 ◽  
Author(s):  
Marwa Tifafi ◽  
Marta Camino-Serrano ◽  
Christine Hatté ◽  
Hector Morras ◽  
Lucas Moretti ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Carbon ◽  
Land Surface ◽  
Carbon Stock ◽  
Land Surface Model ◽  
Carbon Dynamics ◽  
Total Carbon ◽  
Soil Parameters ◽  
Surface Model

Abstract. Despite the importance of soil as a large component of the terrestrial ecosystems, the soil compartments are not well represented in the Land Surface Models (LSMs). Indeed, soils in current LSMs are generally represented based on a very simplified schema that can induce a misrepresentation of the deep dynamics of soil carbon. Here, we present a new version of the IPSL-Land Surface Model called ORCHIDEE-SOM, incorporating the 14C dynamic in the soil. ORCHIDEE-SOM, first, simulates soil carbon dynamics for different layers, down to 2 m depth. Second, concentration of dissolved organic carbon (DOC) and its transport are modeled. Finally, soil organic carbon (SOC) decomposition is considered taking into account the priming effect. After implementing the 14C in the soil module of the model, we evaluated model outputs against observations of soil organic carbon and 14C activity (F14C) for different sites with different characteristics. The model managed to reproduce the soil organic carbon stocks and the F14C along the vertical profiles. However, an overestimation of the total carbon stock was noted, but was mostly marked on the surface. Then, thanks to the introduction of 14C, it has been possible to highlight an underestimation of the age of carbon in the soil. Thereafter, two different tests on this new version have been established. The first was to increase carbon residence time of the passive pool and decrease the flux from the slow pool to the passive pool. The second was to establish an equation of diffusion, initially constant throughout the profile, making it vary exponentially as a function of depth. The first modifications did not improve the capacity of the model to reproduce observations whereas the second test showed a decrease of the soil carbon stock overestimation, especially at the surface and an improvement of the estimates of the carbon age. This assumes that we should focus more on vertical variation of soil parameters as a function of depth, mainly for diffusion, in order to upgrade the representation of global carbon cycle in LSMs, thereby helping to improve predictions of the future response of soil organic carbon to global warming.

scholarly journals ESTIMATION OF ABOVEGROUND CARBON STOCK USING SAR SENTINEL-1 IMAGERY IN SAMARINDA CITY

2021 ◽  
Vol 18 (1) ◽  
pp. 103
Author(s):  
Bayu Elwanto Bagus Dewanto ◽  
Retnadi Heru Jatmiko
Keyword(s):  
Carbon Stock ◽  
Open Space ◽  
Exponential Model ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Empirical Modelling ◽  
Aboveground Carbon ◽  
Accuracy Test ◽  
Estimated Error ◽  
Total Carbon Stock

Estimation of aboveground carbon stock on stands vegetation, especially in green open space, has become an urgent issue in the effort to calculate, monitor, manage, and evaluate carbon stocks, especially in a massive urban area such as Samarinda City, Kalimantan Timur Province, Indonesia. The use of Sentinel-1 imagery was maximised to accommodate the weaknesses in its optical imagery, and combined with its ability to produce cloud-free imagery and minimal atmospheric influence. The study aims to test the accuracy of the estimated model of above-ground carbon stocks, to ascertain the total carbon stock, and to map the spatial distribution of carbon stocks on stands vegetation in Samarinda City. The methods used included empirical modelling of carbon stocks and statistical analysis comparing backscatter values and actual carbon stocks in the field using VV and VH polarisation. Model accuracy tests were performed using the standard error of estimate in independent accuracy test samples. The results show that Samarinda Utara subdistrict had the highest carbon stock of 3,765,255.9 tons in the VH exponential model. Total carbon stocks in the exponential VH models were 6,489,478.1 tons, with the highest maximum accuracy of 87.6 %, and an estimated error of 0.57 tons/pixel.

Random sampling of stony and non-stony soils for testing a national soil carbon monitoring system

Soil Research ◽  
2012 ◽  
Vol 50 (1) ◽  
pp. 18 ◽  
Author(s):  
C. B. Hedley ◽  
I. J. Payton ◽  
I. H. Lynn ◽  
S. T. Carrick ◽  
T. H. Webb ◽  
...  
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Random Sampling ◽  
Model Calibration ◽  
Clay Mineralogy ◽  
Carbon Stocks ◽  
Calibration Dataset ◽  
Soil Organic Carbon Stocks ◽  
Field Estimation

The New Zealand Soil Carbon Monitoring System (Soil CMS) was designed, and has been used, to account for soil organic carbon change under land-use change, during New Zealand’s first Commitment Period (2008–2012) to the Kyoto Protocol. The efficacy of the Soil CMS model has been tested for assessing soil organic carbon stocks in a selected climate–land-use–soil grouping (cell). The cell selected for this test represents an area of 709 683 ha and contains soils with a high-activity clay mineralogy promoting long-term stabilisation of organic matter, and is under low-producing grassland in a dry temperate New Zealand climate. These soils have been sampled at randomly selected positions to assess total soil organic carbon stocks to 0.3 m, and to compare with the modelled value. Results show no significant difference between the field estimation (67 ± 30 Mg C/ha), the mean value of the model calibration dataset (79 ± 28 Mg C/ha), and the value predicted by the model (101 ± 41 Mg C/ha), although all estimates have large uncertainties associated with them. The model predicts national soil organic carbon stocks as a function of soil texture, clay mineralogy, land use, climate class, and a slope–rainfall erosivity product. Components of uncertainty within the model include the size and distribution of the calibration dataset, and lack of representativeness of the calibration soil samples, which were sampled for other reasons, e.g. soil survey and forest mensuration. Our study has shown that major components of uncertainty in our field estimation of soil organic carbon stocks (investigated using the indices reproducibility, RP; and coefficient of variation, CV) are short-range (within-plot) and regional (between-sites) spatial variability. Soil organic carbon stocks vary within our selected climate–land-use–soil cell due to varying stoniness (stony soils RP 44%, CV 21%; non-stony soils RP 27%, CV 13%), soil depth, slope position, and climatic effects. When one outlier soil was removed from the model calibration dataset, and the three very stony sites were removed from the randomly selected field validation set, the model calibration dataset and the field dataset means agreed well (78 ± 26 and 78 ± 21 Mg C/ha, respectively). The higher modelled value, before removal of the outlier, is likely to reflect a bias in the model dataset towards conventionally selected modal profiles containing less stony soils than those encountered by the random sampling strategy of our field campaign. Therefore, our results indicate (1) that the Soil CMS provides an adequate estimation of soil organic carbon for the selected cell, and (2) ongoing refinements are required to reduce the uncertainty of prediction.

scholarly journals Restoration of degraded lands for carbon stock enhancement and climate change mitigation: the case of Rebu watershed, Woliso Woreda, Southwest Shoa, Ethiopia

2022 ◽  
Vol 9 (2) ◽  
pp. 3387-3396
Author(s):  
Diriba Megersa Soboka ◽  
Fantaw Yimer
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Stock ◽  
Climate Change Mitigation ◽  
Carbon Stocks ◽  
Land Use Type ◽  
Degraded Lands ◽  
Change Mitigation

This study was conducted to estimate carbon stock enhancement and climate change mitigation potential of restoration effort in Rebu Watershed, Woliso Woreda, Ethiopia. Two restored lands of thirteen years old were randomly selected from two kebeles. Biomass and soil data were collected systematically from nested plots. Mensuration of woody species, soil, and grass/litter samples was collected from the subplots of the nested plots. A total of 72 composite soil samples were collected. The results showed the positive impact of restoration activity on enhancing biomass and soil organic carbon stocks. The restored land ecosystem had shown higher carbon stock of (138.51 ± 27.34 t/ha) than the adjacent unrestored land ecosystem (101.43 ± 21.25 t/ha), which confirmed the potential of restoration in enhancing the carbon stock and mitigating climate change. Hence, the restored land use type has been stored about 8.37 t/ha of carbon dioxide equivalent (CO2e) in biomasses. The restored land use type has mitigated climate change (absorb CO2) by 7.7 times than the adjacent unrestored land use type in this study. The significant values in restored land use types were due to the enhanced vegetation and land cover, which contributed to the biomass and soil organic carbon accumulation. Moreover, the lower values in unrestored land use type were due to the continuous degradation and disturbance from livestock and human beings. Therefore, the result of this study showed that protecting the degraded lands from any disturbance could enhance the carbon stocks of the ecosystem and mitigate the carbon emission rate.

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

Distribution Characteristics of Soil Organic Carbon in Estuarine Wetland of Qingdao Dagu River

2015 ◽  
Vol 737 ◽  
pp. 469-472
Author(s):  
Fan Long Kong ◽  
Min Xi ◽  
Yue Li ◽  
Wen Hao Zhang ◽  
Yang Liu
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Coastal Wetland ◽  
Soil Depth ◽  
Jiaozhou Bay ◽  
River Estuary ◽  
Soil Samples ◽  
Downward Trend ◽  
Distribution Characteristics ◽  
Different Depths

Distribution characteristics of content of soil organic carbon in wetland were studied by the analysis of four soil samples from areas, which were at different depths of soil, collected in the Dagu River estuary of Qingdao during summer of 2014. The result showed that the content of soil organic carbon in coastal wetland of Jiaozhou bay had an overall downward trend with the increase of soil depth. Because of the influence of hydro-salinity environment and tidal action, in regions near the sea, the content of soil organic carbon was less than its counterpart in regions away from the ocean.

scholarly journals Forest Soil Organic Carbon Stocks of Tessala Mount in North-West Algeria-Preliminary Estimates

2021 ◽  
Vol 8 ◽  
Author(s):  
Mohammed Djemel Merabtene ◽  
Fatiha Faraoun ◽  
Rawan Mlih ◽  
Riad Djellouli ◽  
Ali Latreche ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Stock ◽  
Carbon Stocks ◽  
Critical Threshold ◽  
Soil Physicochemical Properties ◽  
Soil Organic Carbon Stocks ◽  
Organic Carbon Stock ◽  
Geographical Characteristics ◽  
Soc Stocks

Mountainous forests in Algeria are severely affected by climate change. The degradation is exacerbated by overgrazing, deforestation, and poor land management linked to the harsh topographical conditions of the mountain agrosystem. These conditions have influenced the turnover of the soil organic matter and thus the SOC stocks storage. This study aims to investigate the average of organic carbon stored in forest soils of Tessala Mount in Algeria and to examine the influence of different plant formations alongside with geographical characteristics and soil physicochemical properties on the amount of carbon stored in the soil. We estimated the critical threshold, the saturation point, and the organic carbon deficit of soils. The correlation between geographical characteristics and soil physicochemical properties and soil organic carbon stocks was determined using principal component analysis and other statistical tools. The results of the study show that the organic carbon stock in soils of Tessala Mount area has an average value of 77.4 t ha−1. The maximum average of SOC stocks (121 t ha−1) of 0–30 cm depth was noted under dense matorral of green and kermes oak followed by sparse garrigue with a value of 112 t ha−1. The soil organic carbon stock in Tessala region was positively correlated with coarse silt, elevation, and northern exposure, but negatively with calcium carbonates contents. The current carbon contents of Tessala topsoil are 22 g C kg−1 which is very low and closer to the critical threshold (11 g C kg−1) whose estimate was based on their clay and silt content. The estimated maximum storage capacity is 160 g C kg−1. The preliminary estimate of the forest soils organic carbon stock of Tessala Mount under current natural conditions indicates an alarming situation with a low rate close to the critical threshold, thus exposing this area to further and stronger degradation.

scholarly journals Cocoa plantation carbon stock at different years after planting (5,10,15) in Tomoni Beringin Jaya Village, East Luwu, South Sulawesi, Indonesia

2021 ◽  
Vol 921 (1) ◽  
pp. 012011
Author(s):  
Nahdia ◽  
S A Paembonan ◽  
Nasaruddin
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Aboveground Biomass ◽  
Carbon Stock ◽  
Belowground Biomass ◽  
Soil Bulk Density ◽  
Carbon Stocks ◽  
South Sulawesi ◽  
Plantation Age ◽  
Cocoa Plantation

Abstract This study aimed to determine cocoa carbon stocks based on the conditions of cocoa plantations in Tomoni Beringin Jaya Village, East Luwu, South Sulawesi, Indonesia. Carbon stocks were estimated from aboveground and belowground biomass using an allometric methodology. Sample sites were cocoa plantations; sampling intensity was 30% of the land planted with cocoa for 5 years (n = 214), 10 years (n=229) and 15 years (n=329), soil sampling disturb (measure soil organic carbon), un disturb (measure bulk soil bulk density) and soil bulk density at depth 0-10 cm and 10-20 cm. Carbon stock cocoa aboveground biomass at the age of 5 years (M45) was 1.89 ton C ha-1 and belowground biomass was 0.56 ton C ha-1 with proportion 77.19%:22.81%. Carbon stock cocoa aboveground biomass at the age of 10 year (BR25) was 3.66 ton C ha-1 and belowground biomass 1.01 ton C ha-1 with a proportion 78.37%:21.63%. Carbon stock cocoa aboveground biomass at 15 year (BR25) was 4.58 ton C ha-1 and belowground biomass of 1.21 ton C ha-1 with a proportion 79.07%:20.93%. Cocoa carbon stock at 5 year, 10 year, and 15 year respectively increased, nevertheless mean annual carbon stock cocoa decreased in 5 years cocoa aboveground biomass was 0.37 ton C ha-1 and belowground biomass 0.11 tonCa-1. Carbon stock cocoa 10 year aboveground biomass 0.36 ton C ha-1 and belowground biomass 0.10 ton C ha-1. Carbon stock cocoa 15 year aboveground biomass 0.30 ton C ha-1 and belowground biomass 0.08 ton C ha-1. Soil organic carbon showed dynamic under different year cocoa plantation. Soil organic carbon in cocoa plantation age 5 year was 0.031 tonCha-1, cocoa plantation age 10 year was 0.034 ton C ha-1, and cocoa plantation age 15 year was 0.043 ton C ha-1.

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