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Ecosystem carbon storage, allocation and carbon credit values of major forest types in the central Himalaya
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Abstract
Himalayan forests are crucial global carbon reservoirs that contribute significantly to carbon mitigation efforts. Although situated within a single climatic zone, Himalayan forests include diverse forest types within a short distance due to variations in altitude, mountain range, slope, and aspect. This study aimed to estimate ecosystem carbon storage (including plant biomass, deadwood, litter, and soil organic carbon [SOC]) and allocation and to evaluate carbon sequestration and carbon credit potential in chir-pine plants (Pinus roxburghii Sarg.), deodar (Cedrus deodara [Roxb.] G. Don), oak (Quercus leucotrichophora A. Camus), and sal (Shorea robusta [Roth]) forests in the central Himalaya. Volumetric equations were utilized across diverse tree species and supplemented by field sampling, particularly by employing the quadrat method to quantify tree biomass. The carbon stocks within ecosystems varied considerably, ranging between 122.44 and 306.44 Mg C ha−1, with discernible differences among forest types, with oak forests exhibiting the highest carbon stock, followed by deodar and sal forests, and pine forests showing the lowest. The allocation of ecosystem carbon stocks among the different components, including trees (21%–34%), soil (64%–77%), deadwood (0.9%–0.35%), and litter (0.46%–1.20%), demonstrated significant variability. The Mantel test revealed the significant influence of environmental factors on carbon storage. Carbon dioxide (CO2) sequestration ranged from 448.98 (pine forest) to 1123.16 (oak forest) Mg CO2 ha−1, while carbon credit values ranged from 1346.96 EUR ha−1 (pine forests) to 3379.49 EUR ha−1 (oak forest). In this study, dominant trees in various forest types contributed to higher carbon storage in their biomass and forest soil, resulting in greater carbon credits. The present research evaluated ecosystem carbon storage, CO2 sequestration potential, and carbon credit valuation for major forests in the central Himalaya. By incorporating these findings into forest management plans and strategies, the carbon sequestration potential and carbon trading of the central Himalayan forest ecosystem in India can be enhanced.
Springer Science and Business Media LLC
Title: Ecosystem carbon storage, allocation and carbon credit values of major forest types in the central Himalaya
Description:
Abstract
Himalayan forests are crucial global carbon reservoirs that contribute significantly to carbon mitigation efforts.
Although situated within a single climatic zone, Himalayan forests include diverse forest types within a short distance due to variations in altitude, mountain range, slope, and aspect.
This study aimed to estimate ecosystem carbon storage (including plant biomass, deadwood, litter, and soil organic carbon [SOC]) and allocation and to evaluate carbon sequestration and carbon credit potential in chir-pine plants (Pinus roxburghii Sarg.
), deodar (Cedrus deodara [Roxb.
] G.
Don), oak (Quercus leucotrichophora A.
Camus), and sal (Shorea robusta [Roth]) forests in the central Himalaya.
Volumetric equations were utilized across diverse tree species and supplemented by field sampling, particularly by employing the quadrat method to quantify tree biomass.
The carbon stocks within ecosystems varied considerably, ranging between 122.
44 and 306.
44 Mg C ha−1, with discernible differences among forest types, with oak forests exhibiting the highest carbon stock, followed by deodar and sal forests, and pine forests showing the lowest.
The allocation of ecosystem carbon stocks among the different components, including trees (21%–34%), soil (64%–77%), deadwood (0.
9%–0.
35%), and litter (0.
46%–1.
20%), demonstrated significant variability.
The Mantel test revealed the significant influence of environmental factors on carbon storage.
Carbon dioxide (CO2) sequestration ranged from 448.
98 (pine forest) to 1123.
16 (oak forest) Mg CO2 ha−1, while carbon credit values ranged from 1346.
96 EUR ha−1 (pine forests) to 3379.
49 EUR ha−1 (oak forest).
In this study, dominant trees in various forest types contributed to higher carbon storage in their biomass and forest soil, resulting in greater carbon credits.
The present research evaluated ecosystem carbon storage, CO2 sequestration potential, and carbon credit valuation for major forests in the central Himalaya.
By incorporating these findings into forest management plans and strategies, the carbon sequestration potential and carbon trading of the central Himalayan forest ecosystem in India can be enhanced.
.
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