scholarly journals Carbon stocks and sequestration potential of dry forests under community management in Tigray, Ethiopia

2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Negasi Solomon ◽  
Emiru Birhane ◽  
Tewodros Tadesse ◽  
Anna C. Treydte ◽  
Kiros Meles
Keyword(s):  
Carbon Stocks ◽  
Community Management ◽  
Dry Forests ◽  
Sequestration Potential

Carbon Stocks of Linear Category of Trees Out Side Forest in Anantapuramu District, Andhra Pradesh, India

2016 ◽  
Vol 39 (4) ◽  
pp. 303-308
Author(s):  
G. Kavitha ◽  
S. Salamma ◽  
M. Ramesh ◽  
Mudavath Naik ◽  
M. Kumar ◽  
...  
Keyword(s):  
Basal Area ◽  
Carbon Stocks ◽  
Linear Structures ◽  
Carbon Sequestration Potential ◽  
Sequestration Potential ◽  
The Mean ◽  
Angiosperm Species ◽  
Linear Category ◽  
Total Tree ◽  
Trees Outside Forest

In the present study, carbon stocks of linear structures of trees outside forest in Anantapuramu district was estimated through sampling of 344 (0.1 ha) plots. A total of 4229 tree individuals belonging to 66 angiosperm species were enumerated in the sampled plots. The mean tree density is 122.8per ha; mean diameter at breast height 4.04 m; mean basal area 15.43 m2 ha-1.Mean volume of trees with >10 cm diameter is 15.50 m3 ha-1; mean total tree biomass is 120.81 tons ha-1.The mean carbon stock is 57.385 tons ha-1 and extrapolated biomass and carbon content for linear structures are 0.176 Mt and 0.083 Mt respectively. The carbon sequestration potential of trees outside forests of Anantapuramu district is estimated at 0.304 Mt.

scholarly journals Aboveground Biomass and Carbon Stocks of an Undisturbed Regenerating Sal (Shorea Robusta Gaertn. F.) Forest Of Goalpara District, Assam, Northeast India

2014 ◽  
Vol 3 (4) ◽  
pp. 147-155 ◽  
Author(s):  
Debajit Rabha
Keyword(s):  
Local Community ◽  
Northeast India ◽  
Carbon Stocks ◽  
High Carbon ◽  
Carbon Sequestration Potential ◽  
Shorea Robusta ◽  
Sequestration Potential ◽  
Sal Forest ◽  
Near Future ◽  
Change Mitigation

The present paper deals with the above ground biomass and carbon stocks of an undisturbed Sal forest of Goalpara district, Assam, Northeast India. The average AGB and C were recorded 239.45 ± 12.8 Mg ha-1 and 119.73 ± 6.4 Mg ha-1. Density distribution curve indicates the high carbon sequestration potential of the stand in near future which further helps in climate change mitigation. Currently, conservation measures are well imposed in combine effort of local community and government. Legal involvement of local community in conservation exercises along with the forest department might be very effective in management of Sal forests.DOI: http://dx.doi.org/10.3126/ije.v3i4.11743   International Journal of EnvironmentVolume-3, Issue-4, Sep-Nov 2014Page: 147-155 

Quantifying carbon stocks and sequestration potential in agroforestry systems under divergent management scenarios relevant to India’s Nationally Determined Contribution

2021 ◽  
Vol 281 ◽  
pp. 124831
Author(s):  
Arun Jyoti Nath ◽  
Gudeta Weldesemayat Sileshi ◽  
Sabina Yasmin Laskar ◽  
Karabi Pathak ◽  
Demsai Reang ◽  
...  
Keyword(s):  
Agroforestry Systems ◽  
Carbon Stocks ◽  
Management Scenarios ◽  
Sequestration Potential

scholarly journals Diverging land-use projections cause large variability in their impacts on ecosystems and related indicators for ecosystem services

2021 ◽  
Vol 12 (1) ◽  
pp. 327-351
Author(s):  
Anita D. Bayer ◽  
Richard Fuchs ◽  
Reinhard Mey ◽  
Andreas Krause ◽  
Peter H. Verburg ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Service ◽  
Crop Production ◽  
Carbon Stocks ◽  
Water Runoff ◽  
Dynamic Global Vegetation Model ◽  
Large Variability ◽  
Lulc Changes ◽  
Sequestration Potential ◽  
Vegetation Carbon

Abstract. Land-use models and integrated assessment models provide scenarios of land-use and land-cover (LULC) changes following pathways or storylines related to different socioeconomic and environmental developments. The large diversity of available scenario projections leads to a recognizable variability in impacts on land ecosystems and the levels of services provided. We evaluated 16 projections of future LULC until 2040 that reflected different assumptions regarding socioeconomic demands and modeling protocols. By using these LULC projections in a state-of-the-art dynamic global vegetation model, we simulated their effect on selected ecosystem service indicators related to ecosystem productivity and carbon sequestration potential, agricultural production and the water cycle. We found that although a common trend for agricultural expansion exists across the scenarios, where and how particular LULC changes are realized differs widely across models and scenarios. They are linked to model-specific considerations of some demands over others and their respective translation into LULC changes and also reflect the simplified or missing representation of processes related to land dynamics or other influencing factors (e.g., trade, climate change). As a result, some scenarios show questionable and possibly unrealistic features in their LULC allocations, including highly regionalized LULC changes with rates of conversion that are contrary to or exceed rates observed in the past. Across the diverging LULC projections, we identified positive global trends of net primary productivity (+10.2 % ± 1.4 %), vegetation carbon (+9.2 % ± 4.1 %), crop production (+31.2 % ± 12.2 %) and water runoff (+9.3 % ± 1.7 %), and a negative trend of soil and litter carbon stocks (−0.5 % ± 0.4 %). The variability in ecosystem service indicators across scenarios was especially high for vegetation carbon stocks and crop production. Regionally, variability was highest in tropical forest regions, especially at current forest boundaries, because of intense and strongly diverging LULC change projections in combination with high vegetation productivity dampening or amplifying the effects of climatic change. Our results emphasize that information on future changes in ecosystem functioning and the related ecosystem service indicators should be seen in light of the variability originating from diverging projections of LULC. This is necessary to allow for adequate policy support towards sustainable transformations.

scholarly journals CUT CYCLES AND SOIL CARBON POTENTIAL STOCKS IN A MANAGED FOREST IN THE CAATINGA DOMAIN IN BRAZIL

2020 ◽  
Vol 33 (3) ◽  
pp. 735-745
Author(s):  
JOSÉ FRÉDSON BEZERRA LOPES ◽  
EUNICE MAIA DE ANDRADE ◽  
ERICH CELESTINO BRAGA PEREIRA ◽  
DIEGO ANTUNES CAMPOS ◽  
DEODATO DO NASCIMENTO AQUINO
Keyword(s):  
Organic Carbon ◽  
Soil Carbon ◽  
Carbon Potential ◽  
Carbon Stocks ◽  
Tropical Dry Forests ◽  
Charcoal Production ◽  
Managed Forest ◽  
Dry Forests ◽  
Soil Carbon Stocks

ABSTRACT Management of tropical dry forests in Brazil expanded 450% in the two latest decades; but little is known about the dynamics of these areas. Thus, the objective of this work was to evaluate if the recovery of mean original biomass stocks (MOBS) is a consistent criterion to define cut cycles in a managed forest for charcoal production, and determine the remaining biomass and its contribution to soil carbon stocks. The study was conducted at the Ramalhete Settlement, in General Sampaio, CE, Brazil, in 2018. The explorable shrubby-arboreous biomass (ESAB) and the ESAB mean annual increases (ESAB -MAI) were determined in five areas subjected to clearcutting after 3, 5, 8, 11, and 15 years, and in a preservation area with 40 years of regeneration. Each area was divided into seven plots (20 × 20 m), totaling 42 plots. The ESAB of the plots were compared and the remaining biomass (branches, stumps, and litterfall) in a recently explored area was calculated and converted into organic carbon. The remaining biomass of branches had higher contribution to soil carbon stocks, followed by the litterfall, and stumps. The carbon stocks of the branch component were 3.4-fold higher than those of the litterfall. The recovery of the MOBS of an area after clearcutting should not be used as a criterion to define the cut cycle, since these original carbon stocks do not represent the maximum ESAB production possible in the area; the biodiversity and amount of ESAB in the classes of larger diameter are more adequate criteria.

Carbon stocks in the Oak and Pine Forests in Salyan District, Nepal

2016 ◽  
Vol 23 (2) ◽  
pp. 30-36 ◽  
Author(s):  
Bishnu Prasad Shrestha ◽  
B. P. Devkota
Keyword(s):  
Soil Carbon ◽  
Carbon Stocks ◽  
Pine Forests ◽  
Forest Types ◽  
Basic Step ◽  
Soil Carbon Stock ◽  
Carbon Sequestration Potential ◽  
Ground Biomass ◽  
Sequestration Potential ◽  
Soil Carbon Stocks

Forests play an important role in absorbing atmospheric carbon dioxide. Broadleaf Forests absorb more carbon as compared to the Pine Forests. Quantification of carbon in any vegetation and soil type is a basic step for evaluating the carbon sequestration potential of an ecosystem. To quantify the vegetation and soil carbon stocks in Oak and Pine Forests, above and below-ground biomass of both forests were estimated using stratified random sampling. Individual trees in the sample plots of both forest types were measured. Above-ground biomass of trees and saplings were estimated by using different models, while the biomass of grass, herb and litter were calculated directly from field measurements. To determine the soil carbon stock, soil samples from three depth levels (0–10 cm, 10–20 cm, and 20–30 cm) of each soil profile were collected for each sample plot laid out in both forest types. Total vegetation carbon stocks in Oak and Pine Forests were 90.37 and 24.82 Mg C ha-1, respectively. Similarly, the soil carbon stocks in the Oak and Pine Forests were 60.82 and 46.12 Mg C ha-1, respectively.Banko Janakari, Vol. 23, No. 2, 2013

Carbon Stocks of Trees Outside Forests in Kurnool District, Andhra Pradesh, India

2016 ◽  
Vol 39 (3) ◽  
pp. 203-210
Author(s):  
M. Ramesh ◽  
Boyina Rao
Keyword(s):  
Carbon Sequestration ◽  
Andhra Pradesh ◽  
Carbon Stocks ◽  
Carbon Sequestration Potential ◽  
Trees Outside Forests ◽  
Sequestration Potential

In the present study, carbon stocks of trees outside forests in Kurnool district was estimated through sampling of 143 hectare area in 413 plots. A total of 93 species belonging to 80 genera and 37 families were recorded in the sampled plots. Extrapolated biomass and carbon stocks are calculated for Kurnool district as 2.131 Mt and 1.012 Mt respectively. The carbon sequestration potential of the trees outside forests of Kurnool district is estimated at 3.197 Mt CO2.

Soil carbon stocks under different pastures and pasture management in the higher rainfall areas of south-eastern Australia

Soil Research ◽  
2010 ◽  
Vol 48 (1) ◽  
pp. 7 ◽  
Author(s):  
K. Y. Chan ◽  
A. Oates ◽  
G. D. Li ◽  
M. K. Conyers ◽  
R. J. Prangnell ◽  
...  
Keyword(s):  
Carbon Sequestration ◽  
Soil Carbon ◽  
Management Practices ◽  
Carbon Stocks ◽  
Soil Carbon Sequestration ◽  
Pasture Management ◽  
Sequestration Potential ◽  
Eastern Australia ◽  
Soil Carbon Stocks ◽  
Soc Stocks

In Australia, pastures form the basis of the extensive livestock industries and are important components of crop rotation systems. Despite recent interest in the soil carbon sequestration value of pastures in the mitigation of climate change, little information is available on the soil carbon sequestration potential of pastures in New South Wales farming systems. To quantify the soil carbon stocks under different pastures and a range of pasture management practices, a field survey of soil carbon stocks was undertaken in 2007 in central and southern NSW as well as north-eastern Victoria, using a paired-site approach. Five comparisons were included: native v. introduced perennial, perennial v. annual, continuous v. rotational grazing, pasture cropping v. control, and improved v. unimproved pastures. Results indicated a wide range of soil organic carbon (SOC) stocks over 0–0.30 m (22.4–66.3 t C/ha), with little difference when calculated based on either constant soil depth or constant soil mass. Significantly higher SOC stocks were found only as a result of pasture improvement using P application compared with unimproved pastures. In this case, rates of sequestration were estimated to range between 0.26 and 0.72 t C/ha.year, with a mean rate of 0.41 t C/ha.year. Lack of significant differences in SOC stocks for the other pastures and pasture management practice comparisons could be due to inherent problems associated with the paired-site survey approach, i.e. large variability, difficulties in obtaining accurate site history, and the occasional absence of a valid control as well as the likely lower rates of SOC sequestration for these other comparisons. There is a need for scientific long-term trials to quantify the SOC sequestration potential of these other pastures and pasture management practices.

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